RISPP: Rotating Instruction Set Processing Platform. - Lars Bauer; Muhammad Shafique 001; Simon Kramer 002; Jörg Henkel (DAC, 2007)

An Optimized Application Architecture of the H.264 Video Encoder for Application Specific Platforms. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (ESTIMedia, 2007)

A Self-Adaptive Extensible Embedded Processor. - Lars Bauer; Muhammad Shafique 001; Dirk Teufel; Jörg Henkel (SASO, 2007)

Run-time instruction set selection in a transmutable embedded processor. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (DAC, 2008)

Run-time System for an Extensible Embedded Processor with Dynamic Instruction Set. - Lars Bauer; Muhammad Shafique 001; Stephanie Kreutz; Jörg Henkel (DATE, 2008)

A computation- and communication- infrastructure for modular special instructions in a dynamically reconfigurable processor. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (FPL, 2008)

3-tier dynamically adaptive power-aware motion estimator for h.264/AVC video encoding. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (ISLPED, 2008)

Efficient Resource Utilization for an Extensible Processor Through Dynamic Instruction Set Adaptation. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Very Large Scale Integr. Syst., 2008)

MinDeg: a performance-guided replacement policy for run-time reconfigurable accelerators. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (CODES+ISSS, 2009)

Cross-architectural design space exploration tool for reconfigurable processors. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (DATE, 2009)

A parallel approach for high performance hardware design of intra prediction in H.264/AVC Video Codec. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (DATE, 2009)

RISPP: A run-time adaptive reconfigurable embedded processor. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (FPL, 2009)

REMiS: Run-time energy minimization scheme in a reconfigurable processor with dynamic power-gated instruction set. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (ICCAD, 2009)

Non-linear rate control for H.264/AVC video encoder with multiple picture types using image-statistics and motion-based Macroblock Prioritization. - Muhammad Shafique 001; Bastian Molkenthin; Jörg Henkel (ICIP, 2009)

KAHRISMA: A novel Hypermorphic Reconfigurable-Instruction-Set Multi-grained-Array architecture. - Ralf König 001; Lars Bauer; Timo Stripf; Muhammad Shafique 001; Waheed Ahmed; Jürgen Becker 001; Jörg Henkel (DATE, 2010)

enBudget: A Run-Time Adaptive Predictive Energy-Budgeting scheme for energy-aware Motion Estimation in H.264/MPEG-4 AVC video encoder. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (DATE, 2010)

An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusion. - Muhammad Shafique 001; Bastian Molkenthin; Jörg Henkel (DATE, 2010)

Selective instruction set muting for energy-aware adaptive processors. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (ICCAD, 2010)

Power-aware complexity-scalable multiview video coding for mobile devices. - Muhammad Shafique 001; Bruno Zatt; Sergio Bampi; Jörg Henkel (PCS, 2010)

An adaptive early skip mode decision scheme for multiview video coding. - Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (PCS, 2010)

Optimizing the H.264/AVC Video Encoder Application Structure for Reconfigurable and Application-Specific Platforms. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (J. Signal Process. Syst., 2010)

Hardware/Software Architectures for Low-Power Embedded Multimedia Systems. - Muhammad Shafique 001; Jörg Henkel (Springer, 2011)

Concepts, architectures, and run-time systems for efficient and adaptive reconfigurable processors. - Lars Bauer; Muhammad Shafique 001; Jörg Henkel (AHS, 2011)

Adaptive resource management for simultaneous multitasking in mixed-grained reconfigurable multi-core processors. - Waheed Ahmed; Muhammad Shafique 001; Lars Bauer; Jörg Henkel (CODES+ISSS, 2011)

Reliable software for unreliable hardware: embedded code generation aiming at reliability. - Semeen Rehman; Muhammad Shafique 001; Florian Kriebel; Jörg Henkel (CODES+ISSS, 2011)

Low-power adaptive pipelined MPSoCs for multimedia: an H.264 video encoder case study. - Haris Javaid; Muhammad Shafique 001; Sri Parameswaran; Jörg Henkel (DAC, 2011)

Run-time adaptive energy-aware motion and disparity estimation in multiview video coding. - Bruno Zatt; Muhammad Shafique 001; Felipe Sampaio; Luciano Volcan Agostini; Sergio Bampi; Jörg Henkel (DAC, 2011)

mRTS: Run-time system for reconfigurable processors with multi-grained instruction-set extensions. - Waheed Ahmed; Muhammad Shafique 001; Lars Bauer; Jörg Henkel (DATE, 2011)

Minority-Game-based resource allocation for run-time reconfigurable multi-core processors. - Muhammad Shafique 001; Lars Bauer; Waheed Ahmed; Jörg Henkel (DATE, 2011)

Multi-level pipelined parallel hardware architecture for high throughput motion and disparity estimation in Multiview Video Coding. - Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (DATE, 2011)

Run-Time Resource Allocation for Simultaneous Multi-tasking in Multi-core Reconfigurable Processors. - Waheed Ahmed; Muhammad Shafique 001; Lars Bauer; Manuel Hammerich; Jörg Henkel; Jürgen Becker 001 (FCCM, 2011)

System-level application-aware dynamic power management in adaptive pipelined MPSoCs for multimedia. - Haris Javaid; Muhammad Shafique 001; Jörg Henkel; Sri Parameswaran (ICCAD, 2011)

A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding. - Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (ICCAD, 2011)

Revc: Computationally Reliable Video Coding on unreliable hardware platforms: A case study on error-tolerant H.264/AVC CAVLC entropy coding. - Semeen Rehman; Muhammad Shafique 001; Florian Kriebel; Jörg Henkel (ICIP, 2011)

A high-throughput parallel hardware architecture for H.264/AVC CAVLC encoding. - Muhammad Shafique 001; Adnan Orcun Tüfek; Jörg Henkel (ICIP, 2011)

A multi-level dynamic complexity reduction scheme for multiview video coding. - Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (ICIP, 2011)

Architectures for adaptive low-power embedded multimedia systems. - Muhammad Shafique 001 (2011)

RAISE: Reliability-Aware Instruction SchEduling for unreliable hardware. - Semeen Rehman; Muhammad Shafique 001; Florian Kriebel; Jörg Henkel (ASP-DAC, 2012)

A hierarchical control scheme for energy quota distribution in hybrid distributed video coding. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (CODES+ISSS, 2012)

Instruction scheduling for reliability-aware compilation. - Semeen Rehman; Muhammad Shafique 001; Jörg Henkel (DAC, 2012)

Adaptive power management of on-chip video memory for multiview video coding. - Muhammad Shafique 001; Bruno Zatt; Fabio Leandro Walter; Sergio Bampi; Jörg Henkel (DAC, 2012)

Power-efficient error-resiliency for H.264/AVC Context-Adaptive Variable Length Coding. - Muhammad Shafique 001; Bruno Zatt; Semeen Rehman; Florian Kriebel; Jörg Henkel (DATE, 2012)

PATS: A Performance Aware Task Scheduler for Runtime Reconfigurable Processors. - Lars Bauer; Artjom Grudnitsky; Muhammad Shafique 001; Jörg Henkel (FCCM, 2012)

A Model Predictive Controller for Frame-Level Rate Control in Multiview Video Coding. - Bruno Boessio Vizzotto; Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (ICME, 2012)

A complexity reduction scheme with adaptive search direction and mode elimination for multiview video coding. - Muhammad Shafique 001; Bruno Zatt; Jörg Henkel (PCS, 2012)

VLSI Circuits, Systems, and Architectures for Advanced Image and Video Compression Standards. - Maurizio Martina; Muhammad Shafique 001; Andrey Norkin (VLSI Design, 2012)

3D Video Coding for Embedded Devices - Energy Efficient Algorithms and Architectures. - Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (Springer, 2013)

Reliable on-chip systems in the nano-era: lessons learnt and future trends. - Jörg Henkel; Lars Bauer; Nikil D. Dutt; Puneet Gupta 001; Sani R. Nassif; Muhammad Shafique 001; Mehdi Baradaran Tahoori; Norbert Wehn (DAC, 2013)

RASTER: runtime adaptive spatial/temporal error resiliency for embedded processors. - Tuo Li 001; Muhammad Shafique 001; Jude Angelo Ambrose; Semeen Rehman; Jörg Henkel; Sri Parameswaran (DAC, 2013)

Exploiting program-level masking and error propagation for constrained reliability optimization. - Muhammad Shafique 001; Semeen Rehman; Pau Vilimelis Aceituno; Jörg Henkel (DAC, 2013)

Mapping on multi/many-core systems: survey of current and emerging trends. - Amit Kumar Singh 002; Muhammad Shafique 001; Akash Kumar 001; Jörg Henkel (DAC, 2013)

An H.264 Quad-FullHD low-latency intra video encoder. - Muhammad Usman Karim Khan; Jan Micha Borrmann; Lars Bauer; Muhammad Shafique 001; Jörg Henkel (DATE, 2013)

Hardware-software collaborative complexity reduction scheme for the emerging HEVC intra encoder. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Mateus Grellert; Jörg Henkel (DATE, 2013)

CSER: HW/SW configurable soft-error resiliency for application specific instruction-set processors. - Tuo Li 001; Muhammad Shafique 001; Semeen Rehman; Swarnalatha Radhakrishnan; Roshan G. Ragel; Jude Angelo Ambrose; Jörg Henkel; Sri Parameswaran (DATE, 2013)

Leveraging variable function resilience for selective software reliability on unreliable hardware. - Semeen Rehman; Muhammad Shafique 001; Pau Vilimelis Aceituno; Florian Kriebel; Jian-Jia Chen; Jörg Henkel (DATE, 2013)

Energy-efficient memory hierarchy for motion and disparity estimation in multiview video coding. - Felipe Sampaio; Bruno Zatt; Muhammad Shafique 001; Luciano Volcan Agostini; Sergio Bampi; Jörg Henkel (DATE, 2013)

Self-adaptive hybrid dynamic power management for many-core systems. - Muhammad Shafique 001; Benjamin Vogel; Jörg Henkel (DATE, 2013)

DHASER: dynamic heterogeneous adaptation for soft-error resiliency in ASIP-based multi-core systems. - Tuo Li 001; Muhammad Shafique 001; Semeen Rehman; Jude Angelo Ambrose; Jörg Henkel; Sri Parameswaran (ICCAD, 2013)

ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. - Rana Muhammad Bilal; Rehan Hafiz; Muhammad Shafique 001; Saad Shoaib; Asim Munawar; Jörg Henkel (ICCAD, 2013)

Formal verification of distributed dynamic thermal management. - Muhammad Ismail; Osman Hasan; Thomas Ebi; Muhammad Shafique 001; Jörg Henkel (ICCAD, 2013)

AMBER: adaptive energy management for on-chip hybrid video memories. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (ICCAD, 2013)

Agent-based distributed power management for kilo-core processors. - Muhammad Shafique 001; Jörg Henkel (ICCAD, 2013)

High-throughput interpolation hardware architecture with coarse-grained reconfigurable datapaths for HEVC. - Cláudio Machado Diniz; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (ICIP, 2013)

An adaptive workload management scheme for HEVC encoding. - Mateus Grellert; Muhammad Shafique 001; Muhammad Usman Karim Khan; Luciano Volcan Agostini; Júlio C. B. de Mattos; Jörg Henkel (ICIP, 2013)

An adaptive complexity reduction scheme with fast prediction unit decision for HEVC intra encoding. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (ICIP, 2013)

Content-adaptive reference frame compression based on intra-frame prediction for multiview video coding. - Felipe Sampaio; Bruno Zatt; Muhammad Shafique 001; Luciano Volcan Agostini; Jörg Henkel; Sergio Bampi (ICIP, 2013)

Content-driven adaptive computation offloading for energy-aware hybrid distributed video coding. - Muhammad Shafique 001; Muhammad Usman Karim Khan; Jörg Henkel (ISLPED, 2013)

Fast HEVC intra mode decision algorithm based on new evaluation order in the Coding Tree Block. - Daniel Palomino 001; Eduardo Cavichioli; Altamiro Amadeu Susin; Luciano Volcan Agostini; Muhammad Shafique 001; Jörg Henkel (PCS, 2013)

Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations. - Semeen Rehman; Anas Toma; Florian Kriebel; Muhammad Shafique 001; Jian-Jia Chen; Jörg Henkel (IEEE Real-Time and Embedded Technology and Applications Symposium, 2013)

Model Predictive Hierarchical Rate Control With Markov Decision Process for Multiview Video Coding. - Bruno Boessio Vizzotto; Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (IEEE Trans. Circuits Syst. Video Technol., 2013)

Low power design of the next-generation High Efficiency Video Coding. - Muhammad Shafique 001; Jörg Henkel (ASP-DAC, 2014)

TSP: Thermal Safe Power - Efficient power budgeting for many-core systems in dark silicon. - Santiago Pagani; Heba Khdr; Waqaas Munawar; Jian-Jia Chen; Muhammad Shafique 001; Minming Li; Jörg Henkel (CODES+ISSS, 2014)

Dark silicon as a challenge for hardware/software co-design. - Muhammad Shafique 001; Siddharth Garg; Tulika Mitra; Sri Parameswaran; Jörg Henkel (CODES+ISSS, 2014)

darkNoC: Designing Energy-Efficient Network-on-Chip with Multi-Vt Cells for Dark Silicon. - Haseeb Bokhari; Haris Javaid; Muhammad Shafique 001; Jörg Henkel; Sri Parameswaran (DAC, 2014)

Multi-Layer Dependability: From Microarchitecture to Application Level. - Jörg Henkel; Lars Bauer; Hongyan Zhang 004; Semeen Rehman; Muhammad Shafique 001 (DAC, 2014)

ASER: Adaptive Soft Error Resilience for Reliability-Heterogeneous Processors in the Dark Silicon Era. - Florian Kriebel; Semeen Rehman; Duo Sun; Muhammad Shafique 001; Jörg Henkel (DAC, 2014)

dTune: Leveraging Reliable Code Generation for Adaptive Dependability Tuning under Process Variation and Aging-Induced Effects. - Semeen Rehman; Florian Kriebel; Duo Sun; Muhammad Shafique 001; Jörg Henkel (DAC, 2014)

The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. - Muhammad Shafique 001; Siddharth Garg; Jörg Henkel; Diana Marculescu (DAC, 2014)

Software architecture of High Efficiency Video Coding for many-core systems with power-efficient workload balancing. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (DATE, 2014)

mDTM: Multi-objective dynamic thermal management for on-chip systems. - Heba Khdr; Thomas Ebi; Muhammad Shafique 001; Hussam Amrouch; Jörg Henkel (DATE, 2014)

hevcDTM: Application-driven Dynamic Thermal Management for High Efficiency Video Coding. - Daniel Palomino 001; Muhammad Shafique 001; Hussam Amrouch; Altamiro Amadeu Susin; Jörg Henkel (DATE, 2014)

Compiler-driven dynamic reliability management for on-chip systems under variabilities. - Semeen Rehman; Florian Kriebel; Muhammad Shafique 001; Jörg Henkel (DATE, 2014)

dSVM: Energy-efficient distributed Scratchpad Video Memory Architecture for the next-generation High Efficiency Video Coding. - Felipe Sampaio; Muhammad Shafique 001; Bruno Zatt; Sergio Bampi; Jörg Henkel (DATE, 2014)

Embedded software reliability for unreliable hardware. - Jian-Jia Chen; Muhammad Shafique 001 (EMSOFT, 2014)

Run-time accelerator binding for tile-based mixed-grained reconfigurable architectures. - Cláudio Machado Diniz; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (FPL, 2014)

Formal Verification of Distributed Task Migration for Thermal Management in On-Chip Multi-core Systems Using nuXmv. - Syed Ali Asadullah Bukhari; Faiq Khalid Lodhi; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (FTSCS, 2014)

Energy-efficient architecture for advanced video memory. - Felipe Sampaio; Muhammad Shafique 001; Bruno Zatt; Sergio Bampi; Jörg Henkel (ICCAD, 2014)

Fast hierarchical intra angular mode selection for high efficiency video coding. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (ICIP, 2014)

Power efficient and workload balanced tiling for parallelized high efficiency video coding. - Muhammad Shafique 001; Muhammad Usman Karim Khan; Jörg Henkel (ICIP, 2014)

Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. - Waqaas Munawar; Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jian-Jia Chen; Jörg Henkel (ICPADS, 2014)

TONE: adaptive temperature optimization for the next generation video encoders. - Daniel Palomino 001; Muhammad Shafique 001; Altamiro Amadeu Susin; Jörg Henkel (ISLPED, 2014)

Content-driven memory pressure balancing and video memory power management for parallel high efficiency video coding. - Felipe Martin Sampaio; Muhammad Shafique 001; Bruno Zatt; Sergio Bampi; Jörg Henkel (ISLPED, 2014)

Hardware/Software Co-design of Embedded Real-Time KD-Tree Based Feature Matching Systems. - Saad Shoaib; Rehan Hafiz; Muhammad Shafique 001 (ISVC (2), 2014)

Resilience Articulation Point (RAP): Cross-layer dependability modeling for nanometer system-on-chip resilience. - Andreas Herkersdorf; Hananeh Aliee; Michael Engel; Michael Glaß; Christina Gimmler-Dumont; Jörg Henkel; Veit Kleeberger; Michael A. Kochte; Johannes Maximilian Kühn; Daniel Mueller-Gritschneder; Sani R. Nassif; Holm Rauchfuss; et al. (Microelectron. Reliab., 2014)

Energy-Efficient Adaptive Pipelined MPSoCs for Multimedia Applications. - Haris Javaid; Muhammad Shafique 001; Jörg Henkel; Sri Parameswaran (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Reliability-Driven Software Transformations for Unreliable Hardware. - Semeen Rehman; Florian Kriebel; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Adaptive Energy Management for Dynamically Reconfigurable Processors. - Muhammad Shafique 001; Lars Bauer; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

ADAPT: An adaptive manycore methodology for software pipelined applications. - Xi Zhang 003; Haris Javaid; Muhammad Shafique 001; Jude Angelo Ambrose; Jörg Henkel; Sri Parameswaran (ASP-DAC, 2015)

Approximation-aware Multi-Level Cells STT-RAM cache architecture. - Felipe Sampaio; Muhammad Shafique 001; Bruno Zatt; Sergio Bampi; Jörg Henkel (CASES, 2015)

R2Cache: Reliability-aware reconfigurable last-level cache architecture for multi-cores. - Florian Kriebel; Arun Subramaniyan 001; Semeen Rehman; Segnon Jean Bruno Ahandagbe; Muhammad Shafique 001; Jörg Henkel (CODES+ISSS, 2015)

seBoost: Selective boosting for heterogeneous manycores. - Santiago Pagani; Muhammad Shafique 001; Heba Khdr; Jian-Jia Chen; Jörg Henkel (CODES+ISSS, 2015)

dsReliM: Power-constrained reliability management in Dark-Silicon many-core chips under process variations. - Mohammad Salehi; Muhammad Shafique 001; Florian Kriebel; Semeen Rehman; Mohammad Khavari Tavana; Alireza Ejlali; Jörg Henkel (CODES+ISSS, 2015)

SuperNet: multimode interconnect architecture for manycore chips. - Haseeb Bokhari; Haris Javaid; Muhammad Shafique 001; Jörg Henkel; Sri Parameswaran (DAC, 2015)

Hayat: harnessing dark silicon and variability for aging deceleration and balancing. - Dennis Gnad; Muhammad Shafique 001; Florian Kriebel; Semeen Rehman; Duo Sun; Jörg Henkel (DAC, 2015)

New trends in dark silicon. - Jörg Henkel; Heba Khdr; Santiago Pagani; Muhammad Shafique 001 (DAC, 2015)

Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. - Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (DAC, 2015)

A low latency generic accuracy configurable adder. - Muhammad Shafique 001; Waqas Ahmad; Rehan Hafiz; Jörg Henkel (DAC, 2015)

EnAAM: energy-efficient anti-aging for on-chip video memories. - Muhammad Shafique 001; Muhammad Usman Karim Khan; Adnan Orcun Tüfek; Jörg Henkel (DAC, 2015)

Malleable NoC: dark silicon inspired adaptable Network-on-Chip. - Haseeb Bokhari; Haris Javaid; Muhammad Shafique 001; Jörg Henkel; Sri Parameswaran (DATE, 2015)

A deblocking filter hardware architecture for the high efficiency video coding standard. - Cláudio Machado Diniz; Muhammad Shafique 001; Felipe Vogel Dalcin; Sergio Bampi; Jörg Henkel (DATE, 2015)

Formal probabilistic analysis of distributed dynamic thermal management. - Shafaq Iqtedar; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (DATE, 2015)

Power-efficient accelerator allocation in adaptive dark silicon many-core systems. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (DATE, 2015)

ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits. - Florian Kriebel; Semeen Rehman; Duo Sun; Pau Vilimelis Aceituno; Muhammad Shafique 001; Jörg Henkel (DATE, 2015)

MatEx: efficient transient and peak temperature computation for compact thermal models. - Santiago Pagani; Jian-Jia Chen; Muhammad Shafique 001; Jörg Henkel (DATE, 2015)

Variability-aware dark silicon management in on-chip many-core systems. - Muhammad Shafique 001; Dennis Gnad; Siddharth Garg; Jörg Henkel (DATE, 2015)

E-pipeline: elastic hardware/software pipelines on a many-core fabric. - Xi Zhang 003; Haris Javaid; Muhammad Shafique 001; Jorgen Peddersen; Jörg Henkel; Sri Parameswaran (DATE, 2015)

Message from the Chairs. - Hyunok Oh; Muhammad Shafique 001; Todor P. Stefanov; Maurizio Palesi (ESTIMedia, 2015)

Thermal-aware power budgeting for dark silicon chips. - Santiago Pagani; Jian-Jia Chen; Muhammad Shafique 001; Jörg Henkel (IGSC, 2015)

Mitigating the Power Density and Temperature Problems in the Nano-Era. - Muhammad Shafique 001; Jörg Henkel (ICCAD, 2015)

Energy-efficient multimedia systems for high efficiency video coding. - Jörg Henkel; Muhammad Usman Karim Khan; Muhammad Shafique 001 (ISCAS, 2015)

Hierarchical power budgeting for Dark Silicon chips. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (ISLPED, 2015)

Power management for mobile games on asymmetric multi-cores. - Anuj Pathania; Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (ISLPED, 2015)

DRVS: Power-efficient reliability management through Dynamic Redundancy and Voltage Scaling under variations. - Mohammad Salehi; Mohammad Khavari Tavana; Semeen Rehman; Florian Kriebel; Muhammad Shafique 001; Alireza Ejlali; Jörg Henkel (ISLPED, 2015)

Dark Silicon: From Computation to Communication. - Jörg Henkel; Haseeb Bokhari; Siddharth Garg; Muhammad Usman Karim Khan; Heba Khdr; Florian Kriebel; Ümit Y. Ogras; Sri Parameswaran; Muhammad Shafique 001 (NOCS, 2015)

Probabilistic Formal Verification Methodology for Decentralized Thermal Management in On-Chip Systems. - Shafaq Iqtedar; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (WETICE, 2015)

Multi-layer software reliability for unreliable hardware. - Muhammad Shafique 001; Philip Axer; Christoph Borchert; Jian-Jia Chen; Kuan-Hsun Chen; Björn Döbel; Rolf Ernst; Hermann Härtig; Andreas Heinig; Rüdiger Kapitza; Florian Kriebel; Daniel Lohmann; et al. (it Inf. Technol., 2015)

A Reconfigurable Hardware Architecture for Fractional Pixel Interpolation in High Efficiency Video Coding. - Cláudio Machado Diniz; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Multicast FullHD H.264 Intra Video Encoder Architecture. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Lars Bauer; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Reliable Software for Unreliable Hardware - A Cross Layer Perspective. - Semeen Rehman; Muhammad Shafique 001; Jörg Henkel (Springer, 2016)

Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. - Paul Bogdan; Partha Pratim Pande; Hussam Amrouch; Muhammad Shafique 001; Jörg Henkel (CASES, 2016)

ageOpt-RMT: compiler-driven variation-aware aging optimization for redundant multithreading. - Florian Kriebel; Semeen Rehman; Muhammad Shafique 001; Jörg Henkel (DAC, 2016)

An area-efficient consolidated configurable error correction for approximate hardware accelerators. - Sana Mazahir; Osman Hasan; Rehan Hafiz; Muhammad Shafique 001; Jörg Henkel (DAC, 2016)

Distributed scheduling for many-cores using cooperative game theory. - Anuj Pathania; Vanchinathan Venkataramani; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DAC, 2016)

Improving mobile gaming performance through cooperative CPU-GPU thermal management. - Alok Prakash; Hussam Amrouch; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DAC, 2016)

Invited - Cross-layer approximate computing: from logic to architectures. - Muhammad Shafique 001; Rehan Hafiz; Semeen Rehman; Walaa El-Harouni; Jörg Henkel (DAC, 2016)

Towards performance and reliability-efficient computing in the dark silicon era. - Jörg Henkel; Santiago Pagani; Heba Khdr; Florian Kriebel; Semeen Rehman; Muhammad Shafique 001 (DATE, 2016)

Formal probabilistic analysis of distributed resource management schemes in on-chip systems. - Shafaq Iqtedar; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (DATE, 2016)

Power-efficient load-balancing on heterogeneous computing platforms. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Apratim Gupta; Thomas Schumann; Jörg Henkel (DATE, 2016)

Thermal optimization using adaptive approximate computing for video coding. - Daniel Palomino 001; Muhammad Shafique 001; Altamiro Amadeu Susin; Jörg Henkel (DATE, 2016)

Distributed fair scheduling for many-cores. - Anuj Pathania; Vanchinathan Venkataramani; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DATE, 2016)

Architectural-space exploration of approximate multipliers. - Semeen Rehman; Walaa El-Harouni; Muhammad Shafique 001; Akash Kumar 001; Jörg Henkel (ICCAD, 2016)

Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions. - Muhammad Shafique 001; Semeen Rehman; Florian Kriebel; Jörg Henkel (SCOPES, 2016)

Variability and Reliability Awareness in the Age of Dark Silicon. - Florian Kriebel; Muhammad Shafique 001; Semeen Rehman; Jörg Henkel; Siddharth Garg (IEEE Des. Test, 2016)

Task Mapping for Redundant Multithreading in Multi-Cores with Reliability and Performance Heterogeneity. - Kuan-Hsun Chen; Jian-Jia Chen; Florian Kriebel; Semeen Rehman; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Computers, 2016)

Cross-Layer Software Dependability on Unreliable Hardware. - Semeen Rehman; Kuan-Hsun Chen; Florian Kriebel; Anas Toma; Muhammad Shafique 001; Jian-Jia Chen; Jörg Henkel (IEEE Trans. Computers, 2016)

Scalable Power Management for On-Chip Systems with Malleable Applications. - Muhammad Shafique 001; Anton Ivanov; Benjamin Vogel; Jörg Henkel (IEEE Trans. Computers, 2016)

Content-Aware Low-Power Configurable Aging Mitigation for SRAM Memories. - Muhammad Shafique 001; Muhammad Usman Karim Khan; Jörg Henkel (IEEE Trans. Computers, 2016)

Resource and Throughput Aware Execution Trace Analysis for Efficient Run-Time Mapping on MPSoCs. - Amit Kumar Singh 002; Muhammad Shafique 001; Akash Kumar 001; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Reliability-Aware Adaptations for Shared Last-Level Caches in Multi-Cores. - Florian Kriebel; Semeen Rehman; Arun Subramaniyan 001; Segnon Jean Bruno Ahandagbe; Muhammad Shafique 001; Jörg Henkel (ACM Trans. Embed. Comput. Syst., 2016)

Power-Efficient Workload Balancing for Video Applications. - Muhammad Usman Karim Khan; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Two-State Checkpointing for Energy-Efficient Fault Tolerance in Hard Real-Time Systems. - Mohammad Salehi; Mohammad Khavari Tavana; Semeen Rehman; Muhammad Shafique 001; Alireza Ejlali; Jörg Henkel (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Analysis and Mapping for Thermal and Energy Efficiency of 3-D Video Processing on 3-D Multicore Processors. - Amit Kumar Singh 002; Muhammad Shafique 001; Akash Kumar 001; Jörg Henkel (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Statistical Error Analysis for Low Power Approximate Adders. - Muhammad Kamran Ayub; Osman Hasan; Muhammad Shafique 001 (DAC, 2017)

QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Osman Hasan; Muhammad Shafique 001 (DAC, 2017)

Low-overhead Aging-aware Resource Management on Embedded GPUs. - Haeseung Lee; Muhammad Shafique 001; Mohammad Abdullah Al Faruque (DAC, 2017)

Soft error-aware architectural exploration for designing reliability adaptive cache hierarchies in multi-cores. - Arun Subramaniyan 001; Semeen Rehman; Muhammad Shafique 001; Akash Kumar 001; Jörg Henkel (DATE, 2017)

CAnDy-TM: Comparative analysis of dynamic thermal management in many-cores using model checking. - Syed Ali Asadullah Bukhari; Faiq Khalid Lodhi; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (DATE, 2017)

Secure Cyber-Physical Systems: Current trends, tools and open research problems. - Anupam Chattopadhyay; Alok Prakash; Muhammad Shafique 001 (DATE, 2017)

Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. - Walaa El-Harouni; Semeen Rehman; Bharath Srinivas Prabakaran; Akash Kumar 001; Rehan Hafiz; Muhammad Shafique 001 (DATE, 2017)

Scalable probabilistic power budgeting for many-cores. - Anuj Pathania; Heba Khdr; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DATE, 2017)

A Self-Healing Framework for Building Resilient Cyber-Physical Systems. - Denise Ratasich; Oliver Höftberger; Haris Isakovic; Muhammad Shafique 001; Radu Grosu (ISORC, 2017)

Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap. - Muhammad Shafique 001; Rehan Hafiz; Muhammad Usama Javed; Sarmad Abbas; Lukás Sekanina; Zdenek Vasícek; Vojtech Mrazek (ISVLSI, 2017)

Computing in the Dark Silicon Era: Current Trends and Research Challenges. - Muhammad Shafique 001; Siddharth Garg (IEEE Des. Test, 2017)

Guest Editors' Introduction: Computing in the Dark Silicon Era. - Muhammad Shafique 001; Siddharth Garg; Vikas Chandra (IEEE Des. Test, 2017)

Approximate Networking for Universal Internet Access. - Junaid Qadir 001; Arjuna Sathiaseelan; Umar Bin Farooq; Muhammad Usama; Muhammad Ali Imran 001; Muhammad Shafique 001 (Future Internet, 2017)

Theorem proving based Formal Verification of Distributed Dynamic Thermal Management schemes. - Muhammad Usama Sardar; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (J. Parallel Distributed Comput., 2017)

Complexity control of HEVC encoders targeting real-time constraints. - Mateus Grellert; Bruno Zatt; Muhammad Shafique 001; Sergio Bampi; Jörg Henkel (J. Real Time Image Process., 2017)

FAMe-TM: Formal analysis methodology for task migration algorithms in Many-Core systems. - Syed Ali Asadullah Bukhari; Faiq Khalid Lodhi; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (Sci. Comput. Program., 2017)

Defragmentation of Tasks in Many-Core Architecture. - Anuj Pathania; Vanchinathan Venkataramani; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (ACM Trans. Archit. Code Optim., 2017)

Power Density-Aware Resource Management for Heterogeneous Tiled Multicores. - Heba Khdr; Santiago Pagani; Éricles Sousa; Vahid Lari; Anuj Pathania; Frank Hannig; Muhammad Shafique 001; Jürgen Teich; Jörg Henkel (IEEE Trans. Computers, 2017)

Fine-Grained Checkpoint Recovery for Application-Specific Instruction-Set Processors. - Tuo Li 001; Muhammad Shafique 001; Jude Angelo Ambrose; Jörg Henkel; Sri Parameswaran (IEEE Trans. Computers, 2017)

Probabilistic Error Analysis of Approximate Recursive Multipliers. - Sana Mazahir; Osman Hasan; Rehan Hafiz; Muhammad Shafique 001 (IEEE Trans. Computers, 2017)

Probabilistic Error Modeling for Approximate Adders. - Sana Mazahir; Osman Hasan; Rehan Hafiz; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Computers, 2017)

Thermal Safe Power (TSP): Efficient Power Budgeting for Heterogeneous Manycore Systems in Dark Silicon. - Santiago Pagani; Heba Khdr; Jian-Jia Chen; Muhammad Shafique 001; Minming Li; Jörg Henkel (IEEE Trans. Computers, 2017)

Application-Guided Power-Efficient Fault Tolerance for H.264 Context Adaptive Variable Length Coding. - Muhammad Shafique 001; Semeen Rehman; Florian Kriebel; Muhammad Usman Karim Khan; Bruno Zatt; Arun Subramaniyan 001; Bruno Boessio Vizzotto; Jörg Henkel (IEEE Trans. Computers, 2017)

Optimal Greedy Algorithm for Many-Core Scheduling. - Anuj Pathania; Vanchinathan Venkataramani; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Energy Efficiency for Clustered Heterogeneous Multicores. - Santiago Pagani; Anuj Pathania; Muhammad Shafique 001; Jian-Jia Chen; Jörg Henkel (IEEE Trans. Parallel Distributed Syst., 2017)

Design Space Exploration and Run-Time Adaptation for Multicore Resource Management Under Performance and Power Constraints. - Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (Handbook of Hardware/Software Codesign, 2017)

An Optimized Partial-Distortion-Elimination Based Sum-of-Absolute-Differences Architecture for High-Efficiency-Video-Coding. - Paolo Selvo; Maurizio Masera; Riccardo Peloso; Guido Masera; Muhammad Shafique 001; Maurizio Martina (ApplePies, 2018)

Approximate on-the-fly coarse-grained reconfigurable acceleration for general-purpose applications. - Marcelo Brandalero; Luigi Carro; Antonio Carlos Schneider Beck; Muhammad Shafique 001 (DAC, 2018)

QoS-aware stochastic power management for many-cores. - Anuj Pathania; Heba Khdr; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DAC, 2018)

Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. - Salim Ullah; Semeen Rehman; Bharath Srinivas Prabakaran; Florian Kriebel; Muhammad Abdullah Hanif; Muhammad Shafique 001; Akash Kumar 001 (DAC, 2018)

An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. - Muhammad Shafique 001; Theocharis Theocharides; Christos-Savvas Bouganis; Muhammad Abdullah Hanif; Faiq Khalid; Rehan Hafiz; Semeen Rehman (DATE, 2018)

PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture. - Omid Akbari; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram; Muhammad Shafique 001 (DATE, 2018)

Compiler-driven error analysis for designing approximate accelerators. - Jorge Castro-Godínez; Sven Esser; Muhammad Shafique 001; Santiago Pagani; Jörg Henkel (DATE, 2018)

Error resilience analysis for systematically employing approximate computing in convolutional neural networks. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (DATE, 2018)

DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. - Bharath Srinivas Prabakaran; Semeen Rehman; Muhammad Abdullah Hanif; Salim Ullah; Ghazal Mazaheri; Akash Kumar 001; Muhammad Shafique 001 (DATE, 2018)

HiMap: A hierarchical mapping approach for enhancing lifetime reliability of dark silicon manycore systems. - Vijeta Rathore; Vivek Chaturvedi; Amit Kumar Singh 002; Thambipillai Srikanthan; R. Rohith; Siew-Kei Lam; Muhammad Shafique 001 (DATE, 2018)

AdAM: Adaptive approximation management for the non-volatile memory hierarchies. - Mohammad Taghi Teimoori; Muhammad Abdullah Hanif; Alireza Ejlali; Muhammad Shafique 001 (DATE, 2018)

Intelligent Security Measures for Smart Cyber Physical Systems. - Muhammad Shafique 001; Faiq Khalid; Semeen Rehman (DSD, 2018)

HW/SW co-design and co-optimizations for deep learning. - Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (INTESA@ESWEEK, 2018)

Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Muhammad Shafique 001 (FIT, 2018)

PruNet: Class-Blind Pruning Method For Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2018)

Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. - Muhammad Abdullah Hanif; Faiq Khalid; Rachmad Vidya Wicaksana Putra; Semeen Rehman; Muhammad Shafique 001 (IOLTS, 2018)

Hardware and Software Techniques for Heterogeneous Fault-Tolerance. - Semeen Rehman; Florian Kriebel; Bharath Srinivas Prabakaran; Faiq Khalid; Muhammad Shafique 001 (IOLTS, 2018)

FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. - Muluken Hailesellasie; Syed Rafay Hasan; Faiq Khalid; Falah Awwad; Muhammad Shafique 001 (ISCAS, 2018)

Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. - Faiq Khalid; Sunil Nanjiani; Syed Rafay Hasan; Osman Hasan; Falah R. Awwad; Muhammad Shafique 001 (ISCAS, 2018)

Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. - Florian Kriebel; Semeen Rehman; Muhammad Abdullah Hanif; Faiq Khalid; Muhammad Shafique 001 (ISVLSI, 2018)

Scalable Dynamic Task Scheduling on Adaptive Many-Core. - Vanchinathan Venkataramani; Anuj Pathania; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (MCSoC, 2018)

Approximate-Computing Architectures for Motion Estimation in HEVC. - Alberto Paltrinieri; Riccardo Peloso; Guido Masera; Muhammad Shafique 001; Maurizio Martina (NGCAS, 2018)

Chapter Four - Dark Silicon Aware Resource Management for Many-Core Systems. - Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (Adv. Comput., 2018)

McSeVIC: A Model Checking Based Framework for Security Vulnerability Analysis of Integrated Circuits. - Imran Hafeez Abbassi; Faiq Khalid; Osman Hasan; Awais Mehmood Kamboh; Muhammad Shafique 001 (IEEE Access, 2018)

Squash: Approximate Square-Accumulate With Self-Healing. - G. A. Gillani; Muhammad Abdullah Hanif; M. Krone; Sabih H. Gerez; Muhammad Shafique 001; André B. J. Kokkeler (IEEE Access, 2018)

A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. - Denise Ratasich; Faiq Khalid; Florian Geissler; Radu Grosu; Muhammad Shafique 001; Ezio Bartocci (CoRR, 2018)

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. - Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Tanvir; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (CoRR, 2018)

ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Muhammad Shafique 001 (CoRR, 2018)

SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. - Hammad Tariq; Hassan Ali 001; Muhammad Abdullah Hanif; Faiq Khalid; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2018)

A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. - Alberto Marchisio; Muhammad Abdullah Hanif; Semeen Rehman; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2018)

Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. - Bharath Srinivas Prabakaran; Mihika Dave; Semeen Rehman; Florian Kriebel; Muhammad Shafique 001 (CoRR, 2018)

ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. - Faiq Khalid; Imran Hafeez Abbassi; Semeen Rehman; Osman Hasan; Muhammad Shafique 001 (CoRR, 2018)

Adaptive Approximate Computing in Arithmetic Datapaths. - Sana Mazahir; Osman Hasan; Muhammad Shafique 001 (IEEE Des. Test, 2018)

Run-Time Adaptive Power-Aware Reliability Management for Manycores. - Mohammad Salehi; Alireza Ejlali; Muhammad Shafique 001 (IEEE Des. Test, 2018)

SmartDPM: Machine Learning-Based Dynamic Power Management for Multi-Core Microprocessors. - Sai Manoj P. D.; Axel Jantsch; Muhammad Shafique 001 (J. Low Power Electron., 2018)

X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. - Muhammad Abdullah Hanif; Alberto Marchisio; Tabasher Arif; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (J. Low Power Electron., 2018)

Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures. - Omid Akbari; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram; Muhammad Shafique 001 (IEEE Micro, 2018)

adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. - Anil Kanduri; Mohammad Hashem Haghbayan; Amir M. Rahmani; Muhammad Shafique 001; Axel Jantsch; Pasi Liljeberg (IEEE Trans. Computers, 2018)

Aging-Aware Workload Management on Embedded GPU Under Process Variation. - Haeseung Lee; Muhammad Shafique 001; Mohammad Abdullah Al Faruque (IEEE Trans. Computers, 2018)

Guest Editorial: Special Issue on Low-Power Dependable Computing. - Dakai Zhu 001; Muhammad Shafique 001; Man Lin; Sudeep Pasricha (IEEE Trans. Sustain. Comput., 2018)

Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (Approximate Circuits, 2019)

Hardware-Software Approximations for Deep Neural Networks. - Muhammad Abdullah Hanif; Muhammad Usama Javed; Rehan Hafiz; Semeen Rehman; Muhammad Shafique 001 (Approximate Circuits, 2019)

Probabilistic Error Analysis of Approximate Adders and Multipliers. - Sana Mazahir; Muhammad Kamran Ayub; Osman Hasan; Muhammad Shafique 001 (Approximate Circuits, 2019)

Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. - Bharath Srinivas Prabakaran; Walaa El-Harouni; Semeen Rehman; Muhammad Shafique 001 (Approximate Circuits, 2019)

Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. - Semeen Rehman; Bharath Srinivas Prabakaran; Walaa El-Harouni; Muhammad Shafique 001; Jörg Henkel (Approximate Circuits, 2019)

CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. - Muhammad Abdullah Hanif; Faiq Khalid; Muhammad Shafique 001 (DAC, 2019)

autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. - Vojtech Mrazek; Muhammad Abdullah Hanif; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (DAC, 2019)

XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. - Bharath Srinivas Prabakaran; Semeen Rehman; Muhammad Shafique 001 (DAC, 2019)

LifeGuard: A Reinforcement Learning-Based Task Mapping Strategy for Performance-Centric Aging Management. - Vijeta Rathore; Vivek Chaturvedi; Amit Kumar Singh 002; Thambipillai Srikanthan; Muhammad Shafique 001 (DAC, 2019)

Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. - Jeff Jun Zhang; Kang Liu 017; Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Theocharis Theocharides; Alessandro Artussi; Muhammad Shafique 001; Siddharth Garg (DAC, 2019)

TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. - Imran Hafeez Abbassi; Faiq Khalid; Semeen Rehman; Awais Mehmood Kamboh; Axel Jantsch; Siddharth Garg; Muhammad Shafique 001 (DATE, 2019)

TransRec: Improving Adaptability in Single-ISA Heterogeneous Systems with Transparent and Reconfigurable Acceleration. - Marcelo Brandalero; Muhammad Shafique 001; Luigi Carro; Antonio Carlos Schneider Beck (DATE, 2019)

A Fine-Grained Soft Error Resilient Architecture under Power Considerations. - Sajjad Hussain; Muhammad Shafique 001; Jörg Henkel (DATE, 2019)

Thermal-Awareness in a Soft Error Tolerant Architecture. - Sajjad Hussain; Muhammad Shafique 001; Jörg Henkel (DATE, 2019)

FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Junaid Qadir 001; Muhammad Shafique 001 (DATE, 2019)

CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. - Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2019)

ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. - Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICCAD, 2019)

QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. - Faiq Khalid; Hassan Ali 001; Hammad Tariq; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IOLTS, 2019)

TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. - Faiq Khalid; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IOLTS, 2019)

Studying Aging and Soft Error Mitigation Jointly under Constrained Scenarios in Multi-Cores. - Florian Kriebel; Semeen Rehman; Muhammad Shafique 001 (IOLTS, 2019)

Towards Scalable Lifetime Reliability Management for Dark Silicon Manycore Systems. - Vijeta Rathore; Vivek Chaturvedi; Amit Kumar Singh 002; Thambipillai Srikanthan; Muhammad Shafique 001 (IOLTS, 2019)

MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. - Muhammad Abdullah Hanif; Muhammad Zuhaib Akbar; Rehan Ahmed; Semeen Rehman; Axel Jantsch; Muhammad Shafique 001 (ISLPED, 2019)

Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. - Alberto Marchisio; Muhammad Abdullah Hanif; Faiq Khalid; George Plastiras; Christos Kyrkou; Theocharis Theocharides; Muhammad Shafique 001 (ISVLSI, 2019)

MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. - G. A. Gillani; Muhammad Abdullah Hanif; B. Verstoep; Sabih H. Gerez; Muhammad Shafique 001; André B. J. Kokkeler (IEEE Access, 2019)

Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. - Bharath Srinivas Prabakaran; Mihika Dave; Florian Kriebel; Semeen Rehman; Muhammad Shafique 001 (IEEE Access, 2019)

A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. - Denise Ratasich; Faiq Khalid; Florian Geissler; Radu Grosu; Muhammad Shafique 001; Ezio Bartocci (IEEE Access, 2019)

Systimator: A Design Space Exploration Methodology for Systolic Array based CNNs Acceleration on the FPGA-based Edge Nodes. - Hazoor Ahmad; Muhammad Tanvir; Muhammad Abdullah; Muhammad Usama Javed; Rehan Hafiz; Muhammad Shafique 001 (CoRR, 2019)

SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. - Faiq Khalid; Syed Rafay Hasan; Osman Hasan; Falah Awwad; Muhammad Shafique 001 (CoRR, 2019)

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

RED-Attack: Resource Efficient Decision based Attack for Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2019)

SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (CoRR, 2019)

CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. - Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2019)

ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2019)

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CoRR, 2019)

Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques. - Sai Manoj Pudukotai Dinakarrao; Axel Jantsch; Muhammad Shafique 001 (ACM Comput. Surv., 2019)

Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management. - Sai Manoj Pudukotai Dinakarrao; Arun Joseph; Anand Haridass; Muhammad Shafique 001; Jörg Henkel; Houman Homayoun (ACM J. Emerg. Technol. Comput. Syst., 2019)

On the Effect of Approximate-Computing in Motion Estimation. - Alberto Paltrinieri; Riccardo Peloso; Guido Masera; Muhammad Shafique 001; Maurizio Martina (J. Low Power Electron., 2019)

m-SAAC: Multi-stage adaptive approximation control to select approximate computing modes for vision applications. - Rida Amjad; Rehan Hafiz; Muhammad U. Ilyas; Muhammad Shahzad Younis; Muhammad Shafique 001 (Microelectron. J., 2019)

Self-compensating accelerators for efficient approximate computing. - Sana Mazahir; Osman Hasan; Muhammad Shafique 001 (Microelectron. J., 2019)

Hybrid Scratchpad Video Memory Architecture for Energy-Efficient Parallel HEVC. - Felipe Martin Sampaio; Bruno Zatt; Muhammad Shafique 001; Jörg Henkel; Sergio Bampi (IEEE Trans. Circuits Syst. Video Technol., 2019)

ECAx: Balancing Error Correction Costs in Approximate Accelerators. - Jorge Castro-Godínez; Muhammad Shafique 001; Jörg Henkel (ACM Trans. Embed. Comput. Syst., 2019)

Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. - Jorge Castro-Godínez; Muhammad Shafique 001; Jörg Henkel (CASES, 2020)

A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. - Alessio Colucci; Alberto Marchisio; Beatrice Bussolino; Vojtech Mrazek; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CODES+ISSS, 2020)

Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. - Marcelo Brandalero; Bernardo Neuhaus Lignati; Antonio Carlos Schneider Beck; Muhammad Shafique 001; Michael Hübner 001 (DAC, 2020)

PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. - Muhammad Abdullah Hanif; Rehan Hafiz; Osman Hasan; Muhammad Shafique 001 (DAC, 2020)

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (DAC, 2020)

EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. - Bharath Srinivas Prabakaran; Alberto García Jiménez; Germán Moltó Martínez; Muhammad Shafique 001 (DAC, 2020)

ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (DAC, 2020)

DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2020)

FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. - Le Ha Hoang; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2020)

ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2020)

FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. - Mahum Naseer; Mishal Fatima Minhas; Faiq Khalid; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (DATE, 2020)

AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. - Jorge Castro-Godínez; Julián Mateus-Vargas; Muhammad Shafique 001; Jörg Henkel (ICCAD, 2020)

NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. - Alberto Marchisio; Andrea Massa; Vojtech Mrazek; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique 001 (ICCAD, 2020)

FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IJCNN, 2020)

FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. - Alberto Marchisio; Beatrice Bussolino; Alessio Colucci; Muhammad Abdullah Hanif; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2020)

Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. - Riccardo Massa; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. - Valerio Venceslai; Alberto Marchisio; Ihsen Alouani; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2020)

Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (IOLTS, 2020)

Approximate Acceleration for CNN-based Applications on IoT Edge Devices. - Jorge Castro-Godínez; Deykel Hernández-Araya; Muhammad Shafique 001; Jörg Henkel (LASCAS, 2020)

AUGER: A Tool for Generating Approximate Arithmetic Circuits. - Deykel Hernández-Araya; Jorge Castro-Godínez; Muhammad Shafique 001; Jörg Henkel (LASCAS, 2020)

Cross-layer approaches for improving the dependability of deep learning systems. - Muhammad Abdullah Hanif; Le Ha Hoang; Muhammad Shafique 001 (SCOPES, 2020)

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. - Paniti Achararit; Muhammad Abdullah Hanif; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001; Yuko Hara-Azumi (IEEE Access, 2020)

Peak-Power-Aware Primary-Backup Technique for Efficient Fault-Tolerance in Multicore Embedded Systems. - Mohsen Ansari; Mohammad Salehi; Sepideh Safari; Alireza Ejlali; Muhammad Shafique 001 (IEEE Access, 2020)

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. - Maurizio Capra; Beatrice Bussolino; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2020)

Resistive Crossbar-Aware Neural Network Design and Optimization. - Muhammad Abdullah Hanif; Aditya Manglik; Muhammad Shafique 001 (IEEE Access, 2020)

xUAVs: Towards Efficient Approximate Computing for UAVs - Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization. - Tuaha Nomani; Mujahid Mohsin; Zahid Pervaiz; Muhammad Shafique 001 (IEEE Access, 2020)

CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks. - Mohsin Riaz; Rehan Hafiz; Salman Abdul Khaliq; Muhammad Faisal 003; Hafiz Talha Iqbal; Mohsen Ali; Muhammad Shafique 001 (IEEE Access, 2020)

Probabilistic Analysis of Targeted Attacks Using Transform-Domain Adversarial Examples. - Zakia Yahya; Muhammad Hassan 003; Muhammad Shahzad Younis; Muhammad Shafique 001 (IEEE Access, 2020)

FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2020)

MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. - Faiq Khalid; Syed Rafay Hasan; Sara Zia; Osman Hasan; Falah Awwad; Muhammad Shafique 001 (CoRR, 2020)

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. - Muhammad Shafique 001; Mahum Naseer; Theocharis Theocharides; Christos Kyrkou; Onur Mutlu; Lois Orosa 001; Jungwook Choi (IEEE Des. Test, 2020)

Guest Editorial: Robust Resource-Constrained Systems for Machine Learning. - Theocharis Theocharides; Muhammad Shafique 001; Jungwook Choi; Onur Mutlu (IEEE Des. Test, 2020)

An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. - Maurizio Capra; Beatrice Bussolino; Alberto Marchisio; Muhammad Shafique 001; Guido Masera; Maurizio Martina (Future Internet, 2020)

PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. - Muhammad Kamran Ayub; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (ACM J. Emerg. Technol. Comput. Syst., 2020)

SIMCom: Statistical sniffing of inter-module communications for runtime hardware trojan detection. - Faiq Khalid; Syed Rafay Hasan; Osman Hasan; Muhammad Shafique 001 (Microprocess. Microsystems, 2020)

Steganographic universal adversarial perturbations. - Salah Ud Din; Naveed Akhtar; Muhammad Shahzad Younis; Faisal Shafait; Atif Bin Mansoor; Muhammad Shafique 001 (Pattern Recognit. Lett., 2020)

SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. - Hazoor Ahmad; Tabasher Arif; Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture. - Omid Akbari; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. - Syed Ali Asadullah Bukhari; Faiq Khalid; Osman Hasan; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. - Faiq Khalid; Syed Rafay Hasan; Sara Zia; Osman Hasan; Falah Awwad; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores. - Heba Khdr; Muhammad Shafique 001; Santiago Pagani; Andreas Herkersdorf; Jörg Henkel (IEEE Trans. Parallel Distributed Syst., 2020)

Guest Editorial: Special Issue on Architectures and Design Methods for Neural Networks. - Ahmed Hemani; Muhammad Shafique 001; Kolin Paul (J. Signal Process. Syst., 2020)

Automated HW/SW co-design for edge AI: state, challenges and steps ahead. - Oliver Bringmann 001; Wolfgang Ecker; Ingo Feldner; Adrian Frischknecht; Christoph Gerum; Timo Hämäläinen 001; Muhammad Abdullah Hanif; Michael J. Klaiber; Daniel Mueller-Gritschneder; Paul Palomero Bernardo; Sebastian Siegfried Prebeck; Muhammad Shafique 001 (CODES+ISSS, 2021)

TinyML: Current Progress, Research Challenges, and Future Roadmap. - Muhammad Shafique 001; Theocharis Theocharides; Vijay Janapa Reddi; Boris Murmann (DAC, 2021)

SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (DAC, 2021)

SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2021)

GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Faiq Khalid; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (DATE, 2021)

MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. - Alessio Colucci; Dávid Juhász; Martin Mosbeck; Alberto Marchisio; Semeen Rehman; Manfred Kreutzer; Günther Nadbath; Axel Jantsch; Muhammad Shafique 001 (DATE, 2021)

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. - Rida El-Allami; Alberto Marchisio; Muhammad Shafique 001; Ihsen Alouani (DATE, 2021)

DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2021)

TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. - Le Ha Hoang; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DSD, 2021)

Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. - Alberto Bosio; Ian O'Connor; Marcello Traiola; Jorge Echavarria; Jürgen Teich; Muhammad Abdullah Hanif; Muhammad Shafique 001; Said Hamdioui; Bastien Deveautour; Patrick Girard 001; Arnaud Virazel; Koen Bertels (ETS, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (ICCAD, 2021)

UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (ICCAD, 2021)

ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICCAD, 2021)

Efficient Uncertainty Estimation in Semantic Segmentation via Distillation. - Christopher J. Holder; Muhammad Shafique 001 (ICCVW, 2021)

DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. - Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2021)

Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IJCNN, 2021)

CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. - Alberto Viale; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2021)

R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. - Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IROS, 2021)

TailoredCore: Generating Application-Specific RISC-V-based Cores. - Jeferson González-Gómez; Steven Ávila-Ardón; Jonathan Rojas-González; Andres Stephen-Cantillano; Jorge Castro-Godínez; Carlos Salazar-García; Muhammad Shafique 001; Jörg Henkel (LASCAS, 2021)

TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. - Dilshad Sabir; Muhammad Abdullah Hanif; Ali Hassan 001; Saad Rehman; Muhammad Shafique 001 (IEEE Access, 2021)

Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. - Faiq Khalid; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2021)

High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. - Ebrahim Farahmand; Ali Mahani 001; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2021)

Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. - Mahya Morid Ahmadi; Faiq Khalid; Muhammad Shafique 001 (CoRR, 2021)

BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. - Bharath Srinivas Prabakaran; Asima Akhtar; Semeen Rehman; Osman Hasan; Muhammad Shafique 001 (CoRR, 2021)

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. - Muhammad Shafique 001; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif (CoRR, 2021)

CARiMoL: A Configurable Hardware Accelerator for Ringand Module Lattice-Based Post-Quantum Cryptography. - Afifa Ishtiaq; Muhammad Shafique 001; Osman Hassan (IACR Cryptol. ePrint Arch., 2021)

BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. - Bharath Srinivas Prabakaran; Asima Akhtar; Semeen Rehman; Osman Hasan; Muhammad Shafique 001 (IEEE Internet Things J., 2021)

A survey of hardware architectures for generative adversarial networks. - Nivedita Shrivastava; Muhammad Abdullah Hanif; Sparsh Mittal; Smruti Ranjan Sarangi; Muhammad Shafique 001 (J. Syst. Archit., 2021)

Analyzing the interaction of hybrid base liquid C2H6O2-H2O with hybrid nano-material Ag-MoS2 for unsteady rotational flow referred to an elongated surface using modified Buongiorno's model: FEM simulation. - Bagh Ali; Sajjad Hussain; Muhammad Shafique 001; Danial Habib; Ghulam Rasool 003 (Math. Comput. Simul., 2021)

An approximate-computing empowered green 6G downlink. - Maryam Idrees; Mohammed Manzar Maqbool; Muhammad Khurram Bhatti; Muhammad Mahboob Ur Rahman; Rehan Hafiz; Muhammad Shafique 001 (Phys. Commun., 2021)

Multi-Target Adaptive Reconfigurable Acceleration for Low-Power IoT Processing. - Marcelo Brandalero; Luigi Carro; Antonio Carlos Schneider Beck; Muhammad Shafique 001 (IEEE Trans. Computers, 2021)

Longevity Framework: Leveraging Online Integrated Aging-Aware Hierarchical Mapping and VF-Selection for Lifetime Reliability Optimization in Manycore Processors. - Vijeta Rathore; Vivek Chaturvedi; Amit Kumar Singh 002; Thambipillai Srikanthan; Muhammad Shafique 001 (IEEE Trans. Computers, 2021)

DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. - Jorge Castro-Godínez; Humberto Barrantes-García; Muhammad Shafique 001; Jörg Henkel (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. - Alberto Marchisio; Vojtech Mrazek; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2021)

SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DAC, 2022)

MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (DATE, 2022)

Team of Tiny ANNs: A Way Towards Cost-Efficient Scalable Deep Learning. - Hamad Younis; Muhammad Hassan 003; Muhammad Shahzad Younis; Muhammad Shafique 001 (ICAI, 2022)

Embracing Graph Neural Networks for Hardware Security. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (ICCAD, 2022)

NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. - Mahya Morid Ahmadi; Lilas Alrahis; Alessio Colucci; Ozgur Sinanoglu; Muhammad Shafique 001 (IJCNN, 2022)

CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. - Muhammad Abdullah Hanif; Giuseppe Maria Sarda; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2022)

fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. - Alberto Marchisio; Giovanni Caramia; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2022)

lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IJCNN, 2022)

EDAML 2022 Invited Speaker 8: Machine Learning for Cross-Layer Reliability and Security. - Muhammad Shafique 001 (IPDPS Workshops, 2022)

enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IROS, 2022)

LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. - Alberto Viale; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IROS, 2022)

Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. - Alberto Marchisio; Beatrice Bussolino; Edoardo Salvati; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (ISLPED, 2022)

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. - Shail Dave; Alberto Marchisio; Muhammad Abdullah Hanif; Amira Guesmi; Aviral Shrivastava; Ihsen Alouani; Muhammad Shafique 001 (VTS, 2022)

RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. - Alberto Marchisio; Vojtech Mrazek; Andrea Massa; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2022)

AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. - Farzad Nikfam; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (IEEE Access, 2022)

A formal approach to identifying the impact of noise on neural networks. - Iram Tariq Bhatti; Mahum Naseer; Muhammad Shafique 001; Osman Hasan (Commun. ACM, 2022)

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. - Yue Wang 055; Wenqing Li; Esha Sarkar; Muhammad Shafique 001; Michail Maniatakos; Saif Eddin Jabari (CoRR, 2022)

On Efficient Real-Time Semantic Segmentation: A Survey. - Christopher J. Holder; Muhammad Shafique 001 (CoRR, 2022)

tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2022)

Embracing Graph Neural Networks for Hardware Security (Invited Paper). - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (CoRR, 2022)

Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles. - Christopher J. Holder; Muhammad Shafique 001 (CoRR, 2022)

Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning. - Christopher J. Holder; Majid Khonji; Jorge Dias 001; Muhammad Shafique 001 (CoRR, 2022)

ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. - Bharath Srinivas Prabakaran; Felix Fasching; Juri Schreib; Andreas Steininger; Muhammad Shafique 001 (CoRR, 2022)

Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. - Khadija Shaheen; Muhammad Abdullah Hanif; Osman Hasan; Muhammad Shafique 001 (J. Intell. Robotic Syst., 2022)

ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. - Faiq Khalid; Imran Hafeez Abbassi; Semeen Rehman; Awais Mehmood Kamboh; Osman Hasan; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators. - Salim Ullah; Semeen Rehman; Muhammad Shafique 001; Akash Kumar 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. - Lilas Alrahis; Satwik Patnaik; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Hani H. Saleh; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Emerg. Top. Comput., 2022)

Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. - Mohsen Ansari; Sepideh Safari; Sina Yari-Karin; Pourya Gohari-Nazari; Heba Khdr; Muhammad Shafique 001; Jörg Henkel; Alireza Ejlali (IEEE Trans. Emerg. Top. Comput., 2022)

A cross-layer approach towards developing efficient embedded Deep Learning systems. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (Microprocess. Microsystems, 2022)

Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. - Muhammad Shafique 001; Theocharis Theocharides; Hai Li 001; Chun Jason Xue (ACM Trans. Embed. Comput. Syst., 2022)

Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. - Muhammad Shafique 001; Theocharis Theocharides; Hai (Helen) Li; Chun Jason Xue (ACM Trans. Embed. Comput. Syst., 2022)

Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation. - Mahum Naseer; Osman Hasan; Muhammad Shafique 001 (FoMLAS@CAV, 2023)

Physical Backdoor Trigger Activation of Autonomous Vehicle Using Reachability Analysis. - Wenqing Li; Yue Wang 055; Muhammad Shafique 001; Saif Eddin Jabari (CDC, 2023)

Message from the Program Chair. - Mohammad Abdullah Al Faruque; Muhammad Shafique 001 (CODES+ISSS, 2023)

Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. - Muhammad Shafique 001 (DAC, 2023)

Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (DATE, 2023)

Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. - Jorge Castro-Godínez; Muhammad Abdullah Hanif; Muhammad Shafique 001 (DSN-W, 2023)

Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (ICARA, 2023)

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (ICCAD, 2023)

Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. - Mahum Naseer; Muhammad Shafique 001 (ICST, 2023)

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. - Ayoub Arous; Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (IJCNN, 2023)

FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (IJCNN, 2023)

SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. - Alberto Marchisio; Davide Dura; Maurizio Capra; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (IJCNN, 2023)

RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. - Alberto Marchisio; Antonio De Marco; Alessio Colucci; Maurizio Martina; Muhammad Shafique 001 (IJCNN, 2023)

SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (IJCNN, 2023)

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. - T. P. Abdul Rahoof; Vivek Chaturvedi; Muhammad Shafique 001 (IJCNN, 2023)

ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (IOLTS, 2023)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IROS, 2023)

FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (ISLPED, 2023)

ISLE: A Framework for Image Level Semantic Segmentation Ensemble. - Erik Ostrowski; Muhammad Shafique 001 (ISVC (2), 2023)

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. - Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique 001 (ISVC (1), 2023)

ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. - Mohsen Ansari; Sepideh Safari; Amir Yeganeh-Khaksar; Roozbeh Siyadatzadeh; Pourya Gohari-Nazari; Heba Khdr; Muhammad Shafique 001; Jörg Henkel; Alireza Ejlali (RTAS, 2023)

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2023)

FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. - Bharath Srinivas Prabakaran; Paul Hamelmann; Erik Ostrowski; Muhammad Shafique 001 (IEEE Access, 2023)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CoRR, 2023)

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. - Ebrahim Farahmand; Ali Mahani 001; Behnam Ghavami; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. - Amin Kargar-Barzi; Ebrahim Farahmand; Ali Mahani 001; Muhammad Shafique 001 (CoRR, 2023)

autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. - Bharath Srinivas Prabakaran; Vojtech Mrazek; Zdenek Vasícek; Lukás Sekanina; Muhammad Shafique 001 (CoRR, 2023)

SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. - Mahya Morid Ahmadi; Faiq Khalid; Radha Vaidya; Florian Kriebel; Andreas Steininger; Muhammad Shafique 001 (CoRR, 2023)

DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (CoRR, 2023)

BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. - Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique 001 (CoRR, 2023)

Image Label based Semantic Segmentation Framework using Object Perimeters. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (CoRR, 2023)

Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (CoRR, 2023)

AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels. - Erik Ostrowski; Muhammad Shafique 001 (CoRR, 2023)

ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (CoRR, 2023)

PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (CoRR, 2023)

EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. - Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version). - Mahum Naseer; Osman Hasan; Muhammad Shafique 001 (CoRR, 2023)

SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. - Kamila Zaman; Alberto Marchisio; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2023)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. - Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (Inf., 2023)

DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. - Muhammad Abdullah Hanif; Rehan Hafiz; Muhammad Shafique 001 (Inf., 2023)

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. - Farzad Nikfam; Raffaele Casaburi; Alberto Marchisio; Maurizio Martina; Muhammad Shafique 001 (Inf., 2023)

ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog Computing. - Roozbeh Siyadatzadeh; Fatemeh Mehrafrooz; Mohsen Ansari; Bardia Safaei 001; Muhammad Shafique 001; Jörg Henkel; Alireza Ejlali (IEEE Internet Things J., 2023)

An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. - Ali Akbar Bahoo; Omid Akbari; Muhammad Shafique 001 (IEEE Trans. Emerg. Top. Comput., 2023)

X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. - Jafar Vafaei; Omid Akbari; Muhammad Shafique 001; Christian Hochberger (IEEE Trans. Very Large Scale Integr. Syst., 2023)

SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. - Alberto Marchisio; Giorgio Nanfa; Faiq Khalid; Muhammad Abdullah Hanif; Maurizio Martina; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. - Alberto Marchisio; Federico Teodonio; Antonello Rizzi; Muhammad Shafique 001 (Microprocess. Microsystems, 2023)

Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models. - Sayandip De; Muhammad Shafique 001; Henk Corporaal (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

$ tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. - Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique 001; Ozgur Sinanoglu (IEEE Trans. Computers, 2023)

ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices. - Akshara Ravi; Vivek Chaturvedi; Muhammad Shafique 001 (ACM Trans. Embed. Comput. Syst., 2023)

Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. - Ebrahim Farahmand; Ali Mahani 001; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ACM Trans. Embed. Comput. Syst., 2023)

QuanDA: GPU Accelerated Quantitative Deep Neural Network Analysis. - Mahum Naseer; Osman Hasan; Muhammad Shafique 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models. - Aya El Mir; Lukelo Thadei Luoga; Boyuan Chen 004; Muhammad Abdullah Hanif; Muhammad Shafique 001 (BHI, 2024)

DAP: A Dynamic Adversarial Patch for Evading Person Detectors. - Amira Guesmi; Ruitian Ding; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique 001 (CVPR, 2024)

Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (DAC, 2024)

Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. - T. P. Abdul Rahoof; Vivek Chaturvedi; Mahesh Raveendranatha Panicker; Muhammad Shafique 001 (DATE, 2024)

Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. - Shuaihang Yuan; Muhammad Shafique 001; Mohamed Riyadh Baghdadi; Farshad Khorrami; Anthony Tzes; Yi Fang 006 (ICARA, 2024)

FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. - Iqra Bano; Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (ICARCV, 2024)

RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. - Abdul Basit; Khizar Hussain; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICARCV, 2024)

MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. - Maha Nawaz; Abdul Basit; Muhammad Shafique 001 (ICARCV, 2024)

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. - Niraj Pudasaini; Muhammad Abdullah Hanif; Muhammad Shafique 001 (ICARCV, 2024)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Fakhreddine Zayer; Jorge Dias 001; Muhammad Shafique 001 (ICARCV, 2024)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Shafique 001 (ICIP, 2024)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks. - Amira Guesmi; Ioan Marius Bilasco; Muhammad Shafique 001; Ihsen Alouani (ICIP, 2024)

The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms. - Muhammad Kashif; Muhammad Shafique 001 (ICRC, 2024)

tinyDigiClones: A Multi-Modal LLM-Based Framework for Edge-optimized Personalized Avatars. - Abdul Basit; Muhammad Shafique 001 (IJCNN, 2024)

CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. - Sushil Bohara; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IJCNN, 2024)

FedQNN: Federated Learning using Quantum Neural Networks. - Nouhaila Innan; Muhammad Al-Zafar Khan; Alberto Marchisio; Muhammad Shafique 001; Mohamed Bennai (IJCNN, 2024)

Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks. - Muhammad Kashif; Emman Sychiuco; Muhammad Shafique 001 (IJCNN, 2024)

A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. - Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique 001 (IJCNN, 2024)

S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. - Neha A S; Vivek Chaturvedi; Muhammad Shafique 001 (IJCNN, 2024)

Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. - Mahya Morid Ahmadi; Lilas Alrahis; Ozgur Sinanoglu; Muhammad Shafique 001 (IOLTS, 2024)

SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IOLTS, 2024)

EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. - Alessio Colucci; Andreas Steininger; Muhammad Shafique 001 (IOLTS, 2024)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. - Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Bassem Ouni; Muhammad Shafique 001 (IROS, 2024)

DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Muhammad Shafique 001 (IROS, 2024)

J-Net: A Low-Resolution Lightweight Neural Network for Semantic Segmentation in the Medical Field for Embedded Deployment. - Erik Ostrowski; Muhammad Shafique 001 (ISVC (1), 2024)

Embedded-ViT: A Framework for Embedded Deployment of Vision-Transformer in Medical Applications. - Erik Ostrowski; Muhammad Shafique 001 (ISVC (2), 2024)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. - Minghao Shao; Sofija Jancheska; Meet Udeshi; Brendan Dolan-Gavitt; Haoran Xi; Kimberly Milner; Boyuan Chen 004; Max Yin; Siddharth Garg; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; et al. (NeurIPS, 2024)

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. - Siddhant Dutta; Nouhaila Innan; Alberto Marchisio; Sadok Ben Yahia; Muhammad Shafique 001 (QCE, 2024)

Quantum Clustering for Cybersecurity. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (QCE, 2024)

PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. - Kamila Zaman; Alberto Marchisio; Muhammad Kashif; Muhammad Shafique 001 (QCE, 2024)

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. - Walid El Maouaki; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (QSW, 2024)

SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. - Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2024)

An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. - Amin Kargar-Barzi; Ebrahim Farahmand; Nooshin Taheri-Chatrudi; Ali Mahani 001; Muhammad Shafique 001 (IEEE Access, 2024)

A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems. - Fatemeh Hossein Khani; Omid Akbari; Muhammad Shafique 001 (IEEE Access, 2024)

FRNet: A Feature-Rich CNN Architecture to Defend Against Adversarial Attacks. - Neha A S; Vivek Chaturvedi; Muhammad Shafique 001 (IEEE Access, 2024)

A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling. - Alireza Senobari; Jafar Vafaei; Omid Akbari; Christian Hochberger; Muhammad Shafique 001 (IEEE Access, 2024)

Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges. - Minghao Shao; Abdul Basit; Ramesh Karri; Muhammad Shafique 001 (IEEE Access, 2024)

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. - Abolfazl Younesi; Mohsen Ansari; MohammadAmin Fazli; Alireza Ejlali; Muhammad Shafique 001; Jörg Henkel (IEEE Access, 2024)

Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". - Abolfazl Younesi; Mohsen Ansari; MohammadAmin Fazli; Alireza Ejlali; Muhammad Shafique 001; Jörg Henkel (IEEE Access, 2024)

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks. - Muhammad Kashif; Muhammad Shafique 001 (CoRR, 2024)

TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. - Eugenio Ressa; Alberto Marchisio; Maurizio Martina; Guido Masera; Muhammad Shafique 001 (CoRR, 2024)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. - Minghao Shao; Boyuan Chen 004; Sofija Jancheska; Brendan Dolan-Gavitt; Siddharth Garg; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2024)

MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. - Abdul Basit; Khizar Hussain; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs. - Erik Ostrowski; Muhammad Shafique 001 (CoRR, 2024)

A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. - Nishant Suresh Aswani; Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. - Amira Guesmi; Nishant Suresh Aswani; Muhammad Shafique 001 (CoRR, 2024)

Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. - Boyuan Chen 004; Mingzhi Zhu; Brendan Dolan-Gavitt; Muhammad Shafique 001; Siddharth Garg (CoRR, 2024)

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. - Minghao Shao; Sofija Jancheska; Meet Udeshi; Brendan Dolan-Gavitt; Haoran Xi; Kimberly Milner; Boyuan Chen 004; Max Yin; Siddharth Garg; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; et al. (CoRR, 2024)

HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. - Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

Representing Neural Network Layers as Linear Operations via Koopman Operator Theory. - Nishant Suresh Aswani; Saif Eddin Jabari; Muhammad Shafique 001 (CoRR, 2024)

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling. - Siddhant Dutta; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001 (CoRR, 2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. - Siddhant Dutta; Pavana P. Karanth; Pedro Maciel Xavier; Iago Leal de Freitas; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001; David E. Bernal Neira (CoRR, 2024)

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings. - Aya El Mir; Lukelo Thadei Luoga; Boyuan Chen 004; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2024)

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. - Talor Abramovich; Meet Udeshi; Minghao Shao; Kilian Lieret; Haoran Xi; Kimberly Milner; Sofija Jancheska; John Yang 002; Carlos E. Jimenez; Farshad Khorrami; Prashanth Krishnamurthy; Brendan Dolan-Gavitt; et al. (CoRR, 2024)

Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles. - Amira Guesmi; Muhammad Shafique 001 (CoRR, 2024)

Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (CoRR, 2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2024)

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. - Siddhant Dutta; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001; David Esteban Bernal Neira (CoRR, 2024)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. - Nouhaila Innan; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2024)

LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. - Nouhaila Innan; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2024)

Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices. - Alberto Marchisio; Emman Sychiuco; Muhammad Kashif; Muhammad Shafique 001 (CoRR, 2024)

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents. - Avaneesh Devkota; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2024)

GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing. - Abolfazl Younesi; Mohsen Ansari; Alireza Ejlali; MohammadAmin Fazli; Muhammad Shafique 001; Jörg Henkel (CoRR, 2024)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection. - Mansour El Alami; Nouhaila Innan; Muhammad Shafique 001; Mohamed Bennai (CoRR, 2024)

SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents. - Rachmad Vidya Wicaksana Putra; Alberto Marchisio; Muhammad Shafique 001 (Frontiers Robotics AI, 2024)

UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. - Mahum Naseer; Bharath Srinivas Prabakaran; Osman Hasan; Muhammad Shafique 001 (Mach. Learn., 2024)

A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. - Yue Wang 055; Wenqing Li; Esha Sarkar; Muhammad Shafique 001; Michail Maniatakos; Saif Eddin Jabari (IEEE Trans. Artif. Intell., 2024)

DREAMx: A Data-Driven Error Estimation Methodology for Adders Composed of Cascaded Approximate Units. - Muhammad Abdullah Hanif; Ayoub Arous; Muhammad Shafique 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. - Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (IOLTS, 2025)

Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. - Alberto Marchisio; Muhammad Shafique 001 (IOLTS, 2025)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. - Nouhaila Innan; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (QSW, 2025)

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects. - Muhammad Abdullah Hanif; Nandish Chattopadhyay; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2025)

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (IEEE Access, 2025)

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks. - Lotfi Abdelkrim Mecharbat; Alberto Marchisio; Muhammad Shafique 001; Mohammad M. Ghassemi; Tuka Alhanai (CoRR, 2025)

D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security. - Meet Udeshi; Minghao Shao; Haoran Xi; Nanda Rani; Kimberly Milner; Venkata Sai Charan Putrevu; Brendan Dolan-Gavitt; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)

QFAL: Quantum Federated Adversarial Learning. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2025)

A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges. - Nandish Chattopadhyay; Abdul Basit; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset. - Haider Asif; Abdul Basit; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution. - Siddhant Dutta; Nouhaila Innan; Khadijeh Najafi; Sadok Ben Yahia; Muhammad Shafique 001 (CoRR, 2025)

RL-TIME: Reinforcement Learning-based Task Replication in Multicore Embedded Systems. - Roozbeh Siyadatzadeh; Mohsen Ansari; Muhammad Shafique 001; Alireza Ejlali (CoRR, 2025)

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding. - Zeng Wang; Minghao Shao; Mohammed Nabeel 001; Prithwish Basu Roy; Likhitha Mankali; Jitendra Bhandari; Ramesh Karri; Ozgur Sinanoglu; Muhammed Shafique 001; Johann Knechtel (CoRR, 2025)

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination. - Zeng Wang; Minghao Shao; Jitendra Bhandari; Likhitha Mankali; Ramesh Karri; Ozgur Sinanoglu; Muhammad Shafique 001; Johann Knechtel (CoRR, 2025)

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction. - Prashant Kumar Choudhary; Nouhaila Innan; Muhammed Shafique 001; Rajeev Singh (CoRR, 2025)

Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems. - Mishal Fatima Minhas; Rachmad Vidya Wicaksana Putra; Falah Awwad; Osman Hasan; Muhammad Shafique 001 (CoRR, 2025)

QSViT: A Methodology for Quantizing Spiking Vision Transformers. - Rachmad Vidya Wicaksana Putra; Saad Iftikhar; Muhammad Shafique 001 (CoRR, 2025)

Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. - Rachmad Vidya Wicaksana Putra; Pasindu Wickramasinghe; Muhammad Shafique 001 (CoRR, 2025)

SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents. - Avaneesh Devkota; Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (CoRR, 2025)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution. - Minghao Shao; Haoran Xi; Nanda Rani; Meet Udeshi; Venkata Sai Charan Putrevu; Kimberly Milner; Brendan Dolan-Gavitt; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design. - Zeng Wang; Minghao Shao; Rupesh Raj Karn; Likhitha Mankali; Jitendra Bhandari; Ramesh Karri; Ozgur Sinanoglu; Muhammad Shafique 001; Johann Knechtel (CoRR, 2025)

BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility. - Abdul Basit; Maha Nawaz; Muhammad Shafique 001 (CoRR, 2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. - Abdul Basit; Minghao Shao; Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

MetaCipher: A General and Extensible Reinforcement Learning Framework for Obfuscation-Based Jailbreak Attacks on Black-Box LLMs. - Boyuan Chen 004; Minghao Shao; Abdul Basit; Siddharth Garg; Muhammad Shafique 001 (CoRR, 2025)

SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems. - Rachmad Vidya Wicaksana Putra; Muhammad Shafique 001 (IEEE Embed. Syst. Lett., 2025)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. - Muhammad Zaeem Shahzad; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes. - Vidhi Oad; Param Pathak; Nouhaila Innan; Shalini D; Muhammad Shafique 001 (CoRR, 2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. - Abdul Basit; Minghao Shao; Muhammad Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection. - Abhishek Sawaika; Swetang Krishna; Tushar Tomar; Durga Pritam Suggisetti; Aditi Lal; Tanmaya Shrivastav; Nouhaila Innan; Muhammad Shafique 001 (CoRR, 2025)

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao; Muhammad Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao; Muhammed Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)

CapsBeam: Accelerating Capsule Network-Based Beamformer for Ultrasound Nonsteered Plane-Wave Imaging on Field-Programmable Gate Array. - T. P. Abdul Rahoof; Vivek Chaturvedi; Mahesh Raveendranatha Panicker; Muhammad Shafique 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search. - Azaz-Ur-Rehman Nasir; Samroz Ahmad Shoaib; Muhammad Abdullah Hanif; Muhammad Shafique 001 (CoRR, 2025)

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark. - Minghao Shao; Nanda Rani; Kimberly Milner; Haoran Xi; Meet Udeshi; Saksham Aggarwal; Venkata Sai Charan Putrevu; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)

CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning. - Abdul Basit; Maha Nawaz; Saim Rehman; Muhammad Shafique 001 (CoRR, 2025)

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks. - Amira Guesmi; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)