A study on performance benefits of core morphing in an asymmetric multicore processor. - Anup Das 001; Rance Rodrigues; Israel Koren; Sandip Kundu (ICCD, 2010)

Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-path and Frequency Reduction. - Sheng Hao Wang; Anup Das 001; Akash Kumar 001; Henk Corporaal (DSD, 2012)

Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (ICPADS, 2012)

Fault-tolerant network interface for spatial division multiplexing based Network-on-Chip. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (ReCoSoC, 2012)

Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs. - Anup Das 001; Akash Kumar 001 (RSP, 2012)

A design flow for partially reconfigurable heterogeneous multi-processor platforms. - Jiashu Li; Anup Das 001; Akash Kumar 001 (RSP, 2012)

Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (CASES, 2013)

Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. - Amit Kumar Singh 002; Anup Das 001; Akash Kumar 001 (DAC, 2013)

Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (DATE, 2013)

Communication and migration energy aware design space exploration for multicore systems with intermittent faults. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (DATE, 2013)

Run-time mapping for reliable many-cores based on energy/performance trade-offs. - Cristiana Bolchini; Matteo Carminati; Antonio Miele; Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (DFTS, 2013)

RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation. - Amit Kumar Singh 002; Anup Das 001; Akash Kumar 001 (DSD, 2013)

Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation. - Anup Das 001; Shyamsundar Venkataraman; Akash Kumar 001 (FPL, 2013)

Energy-aware dynamic reconfiguration of communication-centric applications for reliable MPSoCs. - Anup Das 001; Amit Kumar Singh 002; Akash Kumar 001 (ReCoSoC, 2013)

Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems. - Anup Das 001; Rishad A. Shafik; Geoff V. Merrett; Bashir M. Al-Hashimi; Akash Kumar 001; Bharadwaj Veeravalli (DAC, 2014)

Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (DATE, 2014)

Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli; Cristiana Bolchini; Antonio Miele (DATE, 2014)

Artificial intelligence based task mapping and pipelined scheduling for checkpointing on real time systems with imperfect fault detection. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (DFT, 2014)

Criticality-aware scrubbing mechanism for SRAM-based FPGAs. - Rui Santos; Shyamsundar Venkataraman; Anup Das 001; Akash Kumar 001 (FPL, 2014)

A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs. - Shyamsundar Venkataraman; Rui Santos; Anup Das 001; Akash Kumar 001 (FPL, 2014)

Communication and migration energy aware task mapping for reliable multiprocessor systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (Future Gener. Comput. Syst., 2014)

Energy-aware task mapping and scheduling for reliable embedded computing systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (ACM Trans. Embed. Comput. Syst., 2014)

Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli; Rishad Ahmed Shafik; Geoff V. Merrett; Bashir M. Al-Hashimi (DATE, 2015)

Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems. - Rishad A. Shafik; Anup Das 001; Sheng Yang 003; Geoff V. Merrett; Bashir M. Al-Hashimi (PARMA-DITAM@HiPEAC, 2015)

Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones. - Anup Das 001; Matthew J. Walker; Andreas Hansson 001; Bashir M. Al-Hashimi; Geoff V. Merrett (ISLPED, 2015)

Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation. - Alberto Rodriguez Arreola; Domenico Balsamo; Anup K. Das 001; Alex S. Weddell; Davide Brunelli; Bashir M. Al-Hashimi; Geoff V. Merrett (ENSsys@SenSys, 2015)

Execution Trace-Driven Energy-Reliability Optimization for Multimedia MPSoCs. - Anup Das 001; Amit Kumar Singh 002; Akash Kumar 001 (ACM Trans. Reconfigurable Technol. Syst., 2015)

Autonomous Soft-Error Tolerance of FPGA Configuration Bits. - Anup Das 001; Shyamsundar Venkataraman; Akash Kumar 001 (ACM Trans. Reconfigurable Technol. Syst., 2015)

The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation. - Anup Das 001; Geoff V. Merrett; Bashir M. Al-Hashimi (DATE, 2016)

Workload Change Point Detection for Runtime Thermal Management of Embedded Systems. - Anup Das 001; Geoff V. Merrett; Mirco Tribastone; Bashir M. Al-Hashimi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Graceful Performance Modulation for Power-Neutral Transient Computing Systems. - Domenico Balsamo; Anup Das 001; Alex S. Weddell; Davide Brunelli; Bashir M. Al-Hashimi; Geoff V. Merrett; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices. - Domenico Balsamo; Alex S. Weddell; Anup Das 001; Alberto Rodriguez Arreola; Davide Brunelli; Bashir M. Al-Hashimi; Geoff V. Merrett; Luca Benini (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems. - Rishad A. Shafik; Sheng Yang 003; Anup Das 001; Luis Alfonso Maeda-Nunez; Geoff V. Merrett; Bashir M. Al-Hashimi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Adaptive and Hierarchical Runtime Manager for Energy-Aware Thermal Management of Embedded Systems. - Anup Das 001; Bashir M. Al-Hashimi; Geoff V. Merrett (ACM Trans. Embed. Comput. Syst., 2016)

Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems. - Anup Das 001; Akash Kumar 001; Bharadwaj Veeravalli (IEEE Trans. Parallel Distributed Syst., 2016)

Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs. - Matthew J. Walker; Stephan Diestelhorst; Andreas Hansson 001; Anup Das 001; Sheng Yang 003; Bashir M. Al-Hashimi; Geoff V. Merrett (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. - Anup K. Das 001; Francky Catthoor; Siebren Schaafsma (CHASE, 2018)

VRL-DRAM: improving DRAM performance via variable refresh latency. - Anup Das 001; Hasan Hassan; Onur Mutlu (DAC, 2018)

Mapping of local and global synapses on spiking neuromorphic hardware. - Anup Das 001; Yuefeng Wu; Khanh Huynh; Francesco Dell'Anna; Francky Catthoor; Siebren Schaafsma (DATE, 2018)

Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware. - Anup Das 001; Akash Kumar 001 (ACM Great Lakes Symposium on VLSI, 2018)

Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones. - Anup Das 001; Domenico Balsamo; Geoff V. Merrett; Bashir M. Al-Hashimi; Francky Catthoor (IGSC, 2018)

Reference-free Calibration in Sensor Networks. - Raj Thilak Rajan; Rob van Schaijk; Anup Das 001; Jac Romme; Frank J. Pasveer (CoRR, 2018)

Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. - Adarsha Balaji; Federico Corradi; Anup Das 001; Sandeep Pande; Siebren Schaafsma; Francky Catthoor (J. Low Power Electron., 2018)

Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. - Anup Das 001; Paruthi Pradhapan; Willemijn Groenendaal; Prathyusha Adiraju; Raj Thilak Rajan; Francky Catthoor; Siebren Schaafsma; Jeffrey L. Krichmar; Nikil D. Dutt; Chris Van Hoof (Neural Networks, 2018)

Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers. - Anup Das 001; Francky Catthoor; André Bourdoux; Bert Gyselinckx (IEEE Trans. Green Commun. Netw., 2018)

Design Methodology for Embedded Approximate Artificial Neural Networks. - Adarsha Balaji; Salim Ullah; Anup Das 001; Akash Kumar 001 (ACM Great Lakes Symposium on VLSI, 2019)

Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. - Adarsha Balaji; Yuefeng Wu; Anup Das 001; Francky Catthoor; Siebren Schaafsma (ACM Great Lakes Symposium on VLSI, 2019)

A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. - Adarsha Balaji; Anup Das 001 (ISVLSI, 2019)

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. - Adarsha Balaji; Shihao Song; Anup Das 001; Nikil D. Dutt; Jeff Krichmar; Nagarajan Kandasamy; Francky Catthoor (IEEE Comput. Archit. Lett., 2019)

Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2019)

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. - Shihao Song; Anup Das 001; Nagarajan Kandasamy (EDCC, 2020)

Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. - Adarsha Balaji; Anup Das 001 (IGSC (Workshops), 2020)

Design Methodologies for Reliable and Energy-efficient PCM Systems. - Shihao Song; Anup Das 001 (IGSC (Workshops), 2020)

Reliability-Performance Trade-offs in Neuromorphic Computing. - Twisha Titirsha; Anup Das 001 (IGSC (Workshops), 2020)

PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. - Adarsha Balaji; Prathyusha Adiraju; Hirak Jyoti Kashyap; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Francky Catthoor (IJCNN, 2020)

Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. - Shihao Song; Anup Das 001; Nagarajan Kandasamy (ISMM, 2020)

Improving phase change memory performance with data content aware access. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ISMM, 2020)

Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. - Twisha Titirsha; Anup Das 001 (LCPC, 2020)

Compiling Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy; James A. Shackleford (LCTES, 2020)

A Case for Lifetime Reliability-Aware Neuromorphic Computing. - Shihao Song; Anup Das 001 (MWSCAS, 2020)

Machine learning applications to DNA subsequence and restriction site analysis. - Ethan Jacob Moyer; Anup Das 001 (CoRR, 2020)

Mapping Spiking Neural Networks to Neuromorphic Hardware. - Adarsha Balaji; Francky Catthoor; Anup Das 001; Yuefeng Wu; Khanh Huynh; Francesco Dell'Anna; Giacomo Indiveri; Jeffrey L. Krichmar; Nikil D. Dutt; Siebren Schaafsma (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. - Adarsha Balaji; Thibaut Marty; Anup Das 001; Francky Catthoor (J. Signal Process. Syst., 2020)

Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. - Shihao Song; Twisha Titirsha; Anup Das 001 (ASAP, 2021)

Aging-Aware Request Scheduling for Non-Volatile Main Memory. - Shihao Song; Anup Das 001; Onur Mutlu; Nagarajan Kandasamy (ASP-DAC, 2021)

On the role of system software in energy management of neuromorphic computing. - Twisha Titirsha; Shihao Song; Adarsha Balaji; Anup Das 001 (CF, 2021)

Design Technology Co-Optimization for Neuromorphic Computing. - Ankita Paul; Shihao Song; Anup Das 001 (IGSC (Workshops), 2021)

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Shihao Song; Ismet Dagli; Ankur Limaye; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Vinay Amatya; Joseph B. Manzano; Anup Das 001; Fabrizio Ferrandi; et al. (ICCAD, 2021)

A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. - Shihao Song; M. Lakshmi Varshika; Anup Das 001; Nagarajan Kandasamy (ICCAD, 2021)

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. - Adarsha Balaji; Shihao Song; Twisha Titirsha; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (ICONS, 2021)

Special Session: Reliability Analysis for AI/ML Hardware. - Shamik Kundu; Kanad Basu; Mehdi Sadi; Twisha Titirsha; Shihao Song; Anup Das 001; Ujjwal Guin (VTS, 2021)

Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. - Ethan Jacob Moyer; Anup Das 001 (CoRR, 2021)

Special Session: Reliability Analysis for ML/AI Hardware. - Shamik Kundu; Kanad Basu; Mehdi Sadi; Twisha Titirsha; Shihao Song; Anup Das 001; Ujjwal Guin (CoRR, 2021)

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (CoRR, 2021)

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. - Adarsha Balaji; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (IEEE Embed. Syst. Lett., 2021)

Dynamic Reliability Management in Neuromorphic Computing. - Shihao Song; Jui Hanamshet; Adarsha Balaji; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Nagarajan Kandasamy; Francky Catthoor (ACM J. Emerg. Technol. Comput. Syst., 2021)

A design methodology for fault-tolerant computing using astrocyte neural networks. - Murat Isik; Ankita Paul; M. Lakshmi Varshika; Anup Das 001 (CF, 2022)

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (DATE, 2022)

Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. - Mali Halac; Murat Isik; Hasan Ayaz; Anup Das 001 (IJCNN, 2022)

CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. - Lars Niedermeier; Kexin Chen 002; Jinwei Xing; Anup Das 001; Jeffrey Kopsick; Eric Scott; Nate Sutton; Killian Weber; Nikil D. Dutt; Jeffrey L. Krichmar (IJCNN, 2022)

Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. - Ankita Paul; Stefan Wagner 021; Anup Das 001 (IJCNN, 2022)

Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. - Anup Das 001 (MEMOCODE, 2022)

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. - Phu Khanh Huynh; M. Lakshmi Varshika; Ankita Paul; Murat Isik; Adarsha Balaji; Anup Das 001 (CoRR, 2022)

Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. - Ankita Paul; Md Abu Saleh Tajin; Anup Das 001; William M. Mongan; Kapil R. Dandekar (CoRR, 2022)

A Coupled Neural Circuit Design for Guillain-Barre Syndrome. - Oguzhan Derebasi; Murat Isik; Oguzhan Demirag; Dilek Göksel Duru; Anup Das 001 (CoRR, 2022)

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Harry Chong; Adarsha Balaji; Anup Das 001; James A. Shackleford; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. - Twisha Titirsha; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Nagarajan Kandasamy; Francky Catthoor (IEEE Trans. Parallel Distributed Syst., 2022)

Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Hardware-Software Co-Design for On-Chip Learning in AI Systems. - M. Lakshmi Varshika; Abhishek Kumar Mishra; Nagarajan Kandasamy; Anup Das 001 (ASP-DAC, 2023)

Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack. - Anup Das 001 (COMPSAC, 2023)

Online Performance Monitoring of Neuromorphic Computing Systems. - Abhishek Kumar Mishra; Anup Das 001; Nagarajan Kandasamy (ETS, 2023)

Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance. - M. Lakshmi Varshika; Sarah Johari; Jayanth Dubey; Anup Das 001 (MWSCAS, 2023)

Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM. - Arghavan Mohammadhassani; Anup Das 001 (SLIP, 2023)

FPGA Implementation of OTFS Modulation for 6G Communication Systems. - Murat Isik; Malvin Nkomo; Anup Das 001; Kapil R. Dandekar (CoRR, 2023)

ACM TECS Special Issue on Embedded System Security Tutorials. - Aviral Shrivastava; Jian-Jia Chen; Akash Kumar 001; Anup Das 001 (ACM Trans. Embed. Comput. Syst., 2023)

NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. - Adarsha Balaji; Phu Khanh Huynh; Francky Catthoor; Nikil D. Dutt; Jeffrey L. Krichmar; Anup Das 001 (IEEE Trans. Emerg. Top. Comput., 2023)

On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. - Ankita Paul; Shihao Song; Twisha Titirsha; Anup Das 001 (IEEE Des. Test, 2023)

QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. - Shadi Matinizadeh; Arghavan Mohammadhassani; M. Lakshmi Varshika; Sarah Johari; Nagarajan Kandasamy; Anup Das 001 (IEEECONF, 2024)

Clustering and Allocation of Spiking Neural Networks on Crossbar-Based Neuromorphic Architecture. - Ilknur Mustafazade; Nagarajan Kandasamy; Anup Das 001 (CF, 2024)

Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications. - Shadi Matinizadeh; Sarah Johari; Arghavan Mohammadhassani; Anup Das 001 (DFT, 2024)

An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware. - Shadi Matinizadeh; Anup Das 001 (FPL, 2024)

Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks. - Ankita Paul; Anup Das 001 (ICANN (4), 2024)

Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training. - Ankita Paul; Anup Das 001 (ICANN (10), 2024)

Neuromorphic Computing for Graph Analytics. - Anup Das 001 (ICCAD, 2024)

Neuromorphic Computing for the Masses. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Krupa Tishbi; Suman Kumar; M. Lakshmi Varshika; Abhishek Kumar Mishra; Nagarajan Kandasamy; James A. Shackleford; Eric M. Gallo; Anup Das 001 (ICONS, 2024)

Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir. - Ankita Paul; Nagarajan Kandasamy; Kapil R. Dandekar; Anup Das 001 (IJCNN, 2024)

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification. - Abhishek Kumar Mishra; Suman Kumar; Anush Niranjan Lingamoorthy; Anup Das 001; Nagarajan Kandasamy (ITC, 2024)

CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training. - Sarah Johari; Arghavan Mohammadhassani; M. Lakshmi Varshika; Anup Das 001 (MWSCAS, 2024)

A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Abhishek Kumar Mishra; James A. Shackleford; Nagarajan Kandasamy; Eric M. Gallo; Anup Das 001 (MWSCAS, 2024)

Efficient Built-In Self-Test Strategy for Neuromorphic Hardware Based On Alarm Placement. - Ilknur Mustafazade; Anup Das 001; Nagarajan Kandasamy (PRDC, 2024)

WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network. - Abhishek Kumar Mishra; Mohammad Ershad Shaik; Anush Niranjan Lingamoorthy; Suman Kumar; Anup Das 001; Nagarajan Kandasamy; Nur A. Touba (VTS, 2024)

A Scalable Dynamic Segmented Bus Interconnect for Neuromorphic Architectures. - Phu Khanh Huynh; Ilknur Mustafazade; Francky Catthoor; Nagarajan Kandasamy; Anup Das 001 (IEEE Embed. Syst. Lett., 2024)

Exploring Dendritic Computation in Bio-Inspired Architectures for Dynamic Programming. - Anup Das 001 (DATE, 2025)

Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. - M. Lakshmi Varshika; Jonathan Hollenbach; Nicolas Bohm Agostini; Ankur Limaye; Antonino Tumeo; Anup Das 001 (DATE, 2025)

Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture. - Suman Kumar; Abhishek Kumar Mishra; Anup Das 001; Nagarajan Kandasamy (DSN, 2025)

A Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors. - Sarah Johari; Arghavan Mohammadhassani; Anup Das 001 (ISCAS, 2025)

A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. - Arghavan Mohammadhassani; Shadi Matinizadeh; M. Lakshmi Varshika; Anup Das 001 (ISCAS, 2025)

Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol. - Arghavan Mohammadhassani; Sarah Johari; Krupa Tishbi; Anup Das 001 (ISCAS, 2025)

Design Flow for Scheduling Spiking Deep Convolutional Neural Networks on Heterogeneous Neuromorphic System-on-chip. - Anup Das 001 (ACM Trans. Embed. Comput. Syst., 2025)

Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures. - Phu Khanh Huynh; Francky Catthoor; Anup Das 001 (CoRR, 2025)