High-speed and low-power 2.5D I/O circuits for memory-logic-integration by through-silicon interposer. - Jiacheng Wang 001; Shunli Ma; Sai Manoj Pudukotai Dinakarrao; Mingbin Yu; Roshan Weerasekera; Hao Yu 001 (3DIC, 2013)

Peak power reduction and workload balancing by space-time multiplexing based demand-supply matching for 3D thousand-core microprocessor. - Sai Manoj Pudukotai Dinakarrao; Kanwen Wang; Hao Yu 001 (DAC, 2013)

Cyber-physical management for heterogeneously integrated 3D thousand-core on-chip microprocessor. - Sai Manoj Pudukotai Dinakarrao; Hao Yu 001 (ISCAS, 2013)

SRAM dynamic stability verification by reachability analysis with consideration of threshold voltage variation. - Yang Song; Hao Yu 001; Sai Manoj Pudukotai Dinakarrao; Guoyong Shi (ISPD, 2013)

Reliable 3-D Clock-Tree Synthesis Considering Nonlinear Capacitive TSV Model With Electrical-Thermal-Mechanical Coupling. - Sai Manoj Pudukotai Dinakarrao; Hao Yu 001; Yang Shang; Chuan Seng Tan; Sung Kyu Lim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

A robustness optimization of SRAM dynamic stability by sensitivity-based reachability analysis. - Yang Song; Sai Manoj Pudukotai Dinakarrao; Hao Yu 001 (ASP-DAC, 2014)

Zonotope-based nonlinear model order reduction for fast performance bound analysis of analog circuits with multiple-interval-valued parameter variations. - Yang Song; Sai Manoj Pudukotai Dinakarrao; Hao Yu 001 (DATE, 2014)

A thermal resilient integration of many-core microprocessors and main memory by 2.5D TSI I/Os. - Sih-Sian Wu; Kanwen Wang; Sai Manoj Pudukotai Dinakarrao; Tsung-Yi Ho; Mingbin Yu; Hao Yu 001 (DATE, 2014)

A zonotoped macromodeling for reachability verification of eye-diagram in high-speed I/O links with jitter. - Sai Manoj Pudukotai Dinakarrao; Hao Yu 001; Chenjie Gu; Cheng Zhuo (ICCAD, 2014)

Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. - Hantao Huang; Sai Manoj Pudukotai Dinakarrao; Dongjun Xu; Hao Yu 001; Zhigang Hao (ICCAD, 2014)

An energy-efficient 2.5D through-silicon interposer I/O with self-adaptive adjustment of output-voltage swing. - Dongjun Xu; Sai Manoj Pudukotai Dinakarrao; Hantao Huang; Ningmei Yu; Hao Yu 001 (ISLPED, 2014)

Reachability-Based Robustness Verification and Optimization of SRAM Dynamic Stability Under Process Variations. - Yang Song; Hao Yu 001; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

A scalable and reconfigurable 2.5D integrated multicore processor on silicon interposer. - Jie Lin; Shikai Zhu; Zhiyi Yu; Dongjun Xu; Sai Manoj P. D.; Hao Yu 001 (CICC, 2015)

Memristors' Potential for Multi-bit Storage and Pattern Learning. - Nima Taherinejad; Sai Manoj P. D.; Axel Jantsch (EMS, 2015)

Smart I/Os: a data-pattern aware 2.5D interconnect with space-time multiplexing. - Sai Manoj P. D.; Kanwen Wang; Hantao Huang; Hao Yu 001 (SLIP, 2015)

A 2.5-D Memory-Logic Integration With Data-Pattern-Aware Memory Controller. - Dongjun Xu; Sai Manoj P. D.; Kanwen Wang; Hao Yu 001; Ningmei Yu; Mingbin Yu (IEEE Des. Test, 2015)

3D Many-Core Microprocessor Power Management by Space-Time Multiplexing Based Demand-Supply Matching. - Sai Manoj P. D.; Hao Yu 001; Kanwen Wang (IEEE Trans. Computers, 2015)

Fully digital write-in scheme for multi-bit memristive storage. - Nima Taherinejad; Sai Manoj P. D.; Michael Rathmair; Axel Jantsch (CCE, 2016)

A Q-Learning Based Self-Adaptive I/O Communication for 2.5D Integrated Many-Core Microprocessor and Memory. - Sai Manoj P. D.; Hao Yu 001; Hantao Huang; Dongjun Xu (IEEE Trans. Computers, 2016)

A Zonotoped Macromodeling for Eye-Diagram Verification of High-Speed I/O Links With Jitter and Parameter Variations. - Leibin Ni; Sai Manoj P. D.; Yang Song; Chenjie Gu; Hao Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Neural network based ECG anomaly detection on FPGA and trade-off analysis. - Matthias Wess; Sai Manoj P. D.; Axel Jantsch (ISCAS, 2017)

Self-aware sensing and attention-based data collection in Multi-Processor System-on-Chips. - Nima Taherinejad; Muhammad Ali Shami; Sai Manoj P. D. (NEWCAS, 2017)

A Scalable Network-on-Chip Microprocessor With 2.5D Integrated Memory and Accelerator. - Sai Manoj P. D.; Jie Lin; Shikai Zhu; Yingying Yin; Xu Liu 002; Xiwei Huang; Chongshen Song; Wenqi Zhang; Mei Yan; Zhiyi Yu; Hao Yu 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (ASAP, 2018)

Advances and throwbacks in hardware-assisted security: special session. - Ferdinand Brasser; Lucas Davi; Abhijitt Dhavlle; Tommaso Frassetto; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Ahmad-Reza Sadeghi; Avesta Sasan; Hossein Sayadi; Shaza Zeitouni; Houman Homayoun (CASES, 2018)

Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. - Hossein Sayadi; Sai Manoj P. D.; Amir Houmansadr; Setareh Rafatirad; Houman Homayoun (CF, 2018)

Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. - Hossein Sayadi; Nisarg Patel; Sai Manoj P. D.; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DAC, 2018)

A fast and resource efficient FPGA implementation of secret sharing for storage applications. - Jakob Stangl; Thomas Lorünser; Sai Manoj Pudukotai Dinakarrao (DATE, 2018)

ADDHard: Arrhythmia Detection with Digital Hardware by Learning ECG Signal. - Sai Manoj Pudukotai Dinakarrao; Axel Jantsch (ACM Great Lakes Symposium on VLSI, 2018)

Efficient utilization of adversarial training towards robust machine learners and its analysis. - Sai Manoj P. D.; Sairaj Amberkar; Setareh Rafatirad; Houman Homayoun (ICCAD, 2018)

A comprehensive memory analysis of data intensive workloads on server class architecture. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (MEMSYS, 2018)

Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. - Hossein Sayadi; Hosein Mohammadi Makrani; Onkar Randive; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (TrustCom/BigDataSE, 2018)

Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration. - Dongjun Xu; Ningmei Yu; Hantao Huang; Sai Manoj Pudukotai Dinakarrao; Hao Yu 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)

Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation. - Matthias Wess; Sai Manoj Pudukotai Dinakarrao; Axel Jantsch (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. - Abhijitt Dhavlle; Sahil Bhat; Setareh Rafatirad; Houman Homayoun; Sai Manoj P. D. (CASES (work in progress), 2019)

SAT to SAT-Hard Clause Translator. - Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CASES (work in progress), 2019)

MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (CASES (work in progress), 2019)

Adversarial Attack on Microarchitectural Events based Malware Detectors. - Sai Manoj Pudukotai Dinakarrao; Sairaj Amberkar; Sahil Bhat; Abhijitt Dhavlle; Hossein Sayadi; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (DAC, 2019)

Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. - Sai Manoj Pudukotai Dinakarrao; Hossein Sayadi; Hosein Mohammadi Makrani; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. - Hossein Sayadi; Hosein Mohammadi Makrani; Sai Manoj Pudukotai Dinakarrao; Tinoosh Mohsenin; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Setareh Rafatirad (FPL, 2019)

On Custom LUT-based Obfuscation. - Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad; Hamid Mahmoodi; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2019)

ResCoNN: Resource-Efficient FPGA-Accelerated CNN for Traffic Sign Classification. - Martin Lechner; Axel Jantsch; Sai Manoj Pudukotai Dinakarrao (IGSC, 2019)

Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. - Gaurav Kolhe; Hadi Mardani Kamali; Miklesh Naicker; Tyler David Sheaves; Hamid Mahmoodi; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad; Avesta Sasan (ICCAD, 2019)

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. - Xiaojie Guo 002; Liang Zhao 002; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ICDM, 2019)

RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (ICMLA, 2019)

Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. - Sanket Shukla; Gaurav Kolhe; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad (ICTAI, 2019)

Securing a Wireless Network-on-Chip Against Jamming Based Denial-of-Service Attacks. - Abhishek Vashist; Andrew Keats; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (ISVLSI, 2019)

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. - Zhiqian Chen; Gaurav Kolhe; Setareh Rafatirad; Sai Manoj P. D.; Houman Homayoun; Liang Zhao 002; Chang-Tien Lu (CoRR, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (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)

Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips. - Abhishek Vashist; Andrew Keats; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (ACM Trans. Embed. Comput. Syst., 2019)

Securing a Wireless Network-on-Chip Against Jamming-Based Denial-of-Service and Eavesdropping Attacks. - Abhishek Vashist; Andrew Keats; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Defense Against on-Chip Trojans Enabling Traffic Analysis Attacks. - M. Meraj Ahmed; Abhijitt Dhavlle; Naseef Mansoor; Purab Ranjan Sutradhar; Sai Manoj Pudukotai Dinakarrao; Kanad Basu; Amlan Ganguly (AsianHOST, 2020)

Architecting a Secure Wireless Interconnect for Multichip Communication: An ML Approach. - M. Meraj Ahmed; Abhishek Vashist; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (AsianHOST, 2020)

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. - Zhiqian Chen; Gaurav Kolhe; Setareh Rafatirad; Chang-Tien Lu; Sai Manoj P. D.; Houman Homayoun; Liang Zhao 002 (DATE, 2020)

A Review of In-Memory Computing Architectures for Machine Learning Applications. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Khaled N. Khasawneh; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2020)

Evolution of Defenses against Transient-Execution Attacks. - Claudio Canella; Sai Manoj Pudukotai Dinakarrao; Daniel Gruss; Khaled N. Khasawneh (ACM Great Lakes Symposium on VLSI, 2020)

A Comprehensive Review of ML-based Time-Series and Signal Processing Techniques and their Hardware Implementations. - Abhijitt Dhavlle; Sai Manoj Pudukotai Dinakarrao (IGSC (Workshops), 2020)

Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. - Abhishek Vashist; Darshan Ramesh Bhanushali; Robert Relyea; Clark Hochgraf; Amlan Ganguly; Sai Manoj P. D.; Raymond W. Ptucha; Andres Kwasinski; Michael E. Kuhl (ICCE, 2020)

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. - Farnaz Behnia; Ali Mirzaeian; Mohammad Sabokrou; Sai Manoj P. D.; Tinoosh Mohsenin; Khaled N. Khasawneh; Liang Zhao 002; Houman Homayoun; Avesta Sasan (ISQED, 2020)

Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. - Abhijitt Dhavlle; Raj Mehta; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ISQED, 2020)

SATConda: SAT to SAT-Hard Clause Translator. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ISQED, 2020)

R2AD: Randomization and Reconstructor-based Adversarial Defense on Deep Neural Network. - Marzieh Ashrafiamiri; Sai Manoj Pudukotai Dinakarrao; Amir Hosein Afandizadeh Zargari; Minjun Seo; Fadi J. Kurdahi; Houman Homayoun (MLCAD, 2020)

DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain. - Shervin Roshanisefat; Hadi Mardani Kamali; Kimia Zamiri Azar; Sai Manoj Pudukotai Dinakarrao; Naghmeh Karimi; Houman Homayoun; Avesta Sasan (VTS, 2020)

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. - Sai Manoj Pudukotai Dinakarrao; Xiaojie Guo 002; Hossein Sayadi; Cameron Nowzari; Avesta Sasan; Setareh Rafatirad; Liang Zhao 002; Houman Homayoun (IEEE Access, 2020)

pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning. - Purab Ranjan Sutradhar; Mark Connolly; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao; Mark A. Indovina; Amlan Ganguly (IEEE Comput. Archit. Lett., 2020)

Machine Learning for Power, Energy, and Thermal Management on Multicore Processors: A Survey. - Santiago Pagani; Sai Manoj P. D.; Axel Jantsch; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

uPIM: Performance-aware Online Learning Capable Processing-in-Memory. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (AICAS, 2021)

Demography-aware COVID-19 Confinement with Game Theory. - Sreenitha Kasarapu; Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (AICAS, 2021)

Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. - Han Wang 020; Soheil Salehi; Hossein Sayadi; Avesta Sasan; Tinoosh Mohsenin; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (AICAS, 2021)

Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. - Gaurav Kolhe; Soheil Salehi; Tyler David Sheaves; Houman Homayoun; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan (DAC, 2021)

On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. - Sanket Shukla; Sai Manoj P. D.; Gaurav Kolhe; Setareh Rafatirad (DAC, 2021)

HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. - Abhijitt Dhavlle; Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2021)

A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2021)

Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. - Siddharth Barve; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao; Rashmi Jha (ACM Great Lakes Symposium on VLSI, 2021)

A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop. - Sayed Aresh Beheshti-Shirazi; Ashkan Vakil; Sai Manoj P. D.; Ioannis Savidis; Houman Homayoun; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2021)

Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. - Neha Nagarkar; Khaled N. Khasawneh; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2021)

Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. - Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ICC, 2021)

An Ultra-efficient Look-up Table based Programmable Processing in Memory Architecture for Data Encryption. - Purab Ranjan Sutradhar; Kanad Basu; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (ICCD, 2021)

What Can a Remote Access Hardware Trojan do to a Network-on-Chip? - M. Meraj Ahmed; Abhijitt Dhavlle; Naseef Mansoor; Sai Manoj Pudukotai Dinakarrao; Kanad Basu; Amlan Ganguly (ISCAS, 2021)

Design of Hardware Trojans and its Impact on CPS Systems: A Comprehensive Survey. - Abhijitt Dhavlle; Rakibul Hassan; Manideep Mittapalli; Sai Manoj Pudukotai Dinakarrao (ISCAS, 2021)

Can Overclocking Detect Hardware Trojans? - Xingyu Meng; Rakibul Hassan; Sai Manoj Pudukotai Dinakarrao; Kanad Basu (ISCAS, 2021)

Conditional Classification: A Solution for Computational Energy Reduction. - Ali Mirzaeian; Sai Manoj P. D.; Ashkan Vakil; Houman Homayoun; Avesta Sasan (ISQED, 2021)

Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (ISQED, 2021)

Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. - Charan Bandi; Soheil Salehi; Rakibul Hassan; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad (ICSC, 2021)

Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. - Abhijitt Dhavlle; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (SoCC, 2021)

Energy-Efficient and Error-Resilient Cognitive I/O for 3-D-Integrated Manycore Microprocessors. - Sai Manoj Pudukotai Dinakarrao; Hantao Huang; Hao Yu 001 (IEEE Des. Test, 2021)

Enabling Micro AI for Securing Edge Devices at Hardware Level. - Han Wang 020; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Deep Graph Learning for Circuit Deobfuscation. - Zhiqian Chen; Lei Zhang 158; Gaurav Kolhe; Hadi Mardani Kamali; Setareh Rafatirad; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 2021)

Deep graph transformation for attributed, directed, and signed networks. - Xiaojie Guo 002; Liang Zhao 002; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (Knowl. Inf. Syst., 2021)

AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems. - M. Meraj Ahmed; Amlan Ganguly; Abhishek Vashist; Sai Manoj Pudukotai Dinakarrao (Sustain. Comput. Informatics Syst., 2021)

Self-aware power management for multi-core microprocessors. - Sai Manoj Pudukotai Dinakarrao (Sustain. Comput. Informatics Syst., 2021)

Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Tinoosh Mohsenin; Setareh Rafatirad; Houman Homayoun (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

Silicon validation of LUT-based logic-locked IP cores. - Gaurav Kolhe; Tyler Sheaves; Kevin Immanuel Gubbi; Tejas Kadale; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Hamid Mahmoodi; Houman Homayoun (DAC, 2022)

LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. - Gaurav Kolhe; Tyler David Sheaves; Kevin Immanuel Gubbi; Soheil Salehi; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Houman Homayoun (DAC, 2022)

CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. - Abhijitt Dhavlle; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2022)

POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Mark A. Indovina; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (DSD, 2022)

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. - Tanmoy Chowdhury; Ashkan Vakil; Banafsheh Saber Latibari; Sayed Aresh Beheshti-Shirazi; Ali Mirzaeian; Xiaojie Guo 002; Sai Manoj P. D.; Houman Homayoun; Ioannis Savidis; Liang Zhao 002; Avesta Sasan (ACM Great Lakes Symposium on VLSI, 2022)

Session details: Session 7A: Special Session - 3: Machine Learning-Aided Computer-Aided Design. - Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2022)

Survey of Machine Learning for Electronic Design Automation. - Kevin Immanuel Gubbi; Sayed Aresh Beheshti-Shirazi; Tyler David Sheaves; Soheil Salehi; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2022)

CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. - Sreenitha Kasarapu; Sanket Shukla; Rakibul Hassan; Avesta Sasan; Houman Homayoun; Sai Manoj P. D. (ACM Great Lakes Symposium on VLSI, 2022)

RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. - Sanket Shukla; Gaurav Kolhe; Houman Homayoun; Setareh Rafatirad; Sai Manoj P. D. (ACM Great Lakes Symposium on VLSI, 2022)

Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. - Sanket Shukla; Abhijitt Dhavlle; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad (ICCD, 2022)

DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness. - Abhishek Vashist; Sharan Vidash Vidya Shanmugham; Amlan Ganguly; Sai Manoj P. D. (ICCE, 2022)

Performance-aware Lightweight Dynamic Early-Exit-based Gait Authentication. - Pavlos Zouridakis; Sai Manoj Pudukotai Dinakarrao (ISCAS, 2022)

Adaptive-Gravity: A Defense Against Adversarial Samples. - Ali Mirzaeian; Zhi Tian; Sai Manoj P. D.; Banafsheh S. Latibari; Ioannis Savidis; Houman Homayoun; Avesta Sasan (ISQED, 2022)

Accelerating Adversarial Attack using Process-in-Memory Architecture. - Shiyi Liu; Sathwika Bavikadi; Tanmoy Sen; Haiying Shen; Purab Ranjan Sutradhar; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao; Brian L. Smith (MSN, 2022)

Neuromorphic-Enabled Security for IoT. - Soheil Salehi; Tyler David Sheaves; Kevin Immanuel Gubbi; Sayed Arash Beheshti; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Tinoosh Mohsenin; Houman Homayoun (NEWCAS, 2022)

Implementation and Evaluation of Deep Neural Networks in Commercially Available Processing in Memory Hardware. - Prangon Das; Purab Ranjan Sutradhar; Mark A. Indovina; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (SOCC, 2022)

Characterization of AES Implementations on Microprocessor-based IoT Devices. - Sunanda Roy; Angelos Stavrou; Brian L. Mark; Kai Zeng 001; Sai Manoj P. D.; Khaled N. Khasawneh (WCNC, 2022)

KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. - Abhishek Vashist; Maojia Patrick Li; Amlan Ganguly; Sai Manoj P. D.; Clark Hochgraf; Raymond W. Ptucha; Andres Kwasinski; Michael E. Kuhl (IEEE Consumer Electron. Mag., 2022)

A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CoRR, 2022)

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. - Sathwika Bavikadi; Abhijitt Dhavlle; Amlan Ganguly; Anand Haridass; Hagar Hendy; Cory E. Merkel; Vijay Janapa Reddi; Purab Ranjan Sutradhar; Arun Joseph; Sai Manoj Pudukotai Dinakarrao (IEEE Des. Test, 2022)

Guest Editors' Introduction: Special Issue on Benchmarking Machine Learning Systems and Applications. - Sai Manoj Pudukotai Dinakarrao; Arun Joseph; Amlan Ganguly; Anand Haridass; Vijay Janappa Reddi (IEEE Des. Test, 2022)

Imitating Functional Operations for Mitigating Side-Channel Leakage. - Abhijitt Dhavlle; Setareh Rafatirad; Khaled N. Khasawneh; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. - Gaurav Kolhe; Tyler David Sheaves; Sai Manoj P. D.; Hamid Mahmoodi; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ACM Trans. Design Autom. Electr. Syst., 2022)

Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications. - Purab Ranjan Sutradhar; Sathwika Bavikadi; Mark Connolly; Savankumar Prajapati; Mark A. Indovina; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (IEEE Trans. Parallel Distributed Syst., 2022)

Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. - Katherine Mercado; Sathwika Bavikadi; Sai Manoj P. D. (CISS, 2023)

Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. - Nima Kavand; Armin Darjani; Jens Trommer; Giulio Galderisi; Thomas Mikolajick; Nicolai Müller; Amir Moradi 001; Chongzhou Fang; Ning Miao; Han Wang 020; Sai Manoj P. D.; Houman Homayoun; et al. (CODES+ISSS, 2023)

Don't Cross Me! Cross-layer System Security. - Najmeh Nazari; Chongzhou Fang; Sai Manoj P. D.; Houman Homayoun (DAC, 2023)

Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. - Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2023)

FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications. - Purab Ranjan Sutradhar; Sathwika Bavikadi; Mark A. Indovina; Sai Manoj Pudukotai Dinakarrao; Amlan Ganguly (ACM Great Lakes Symposium on VLSI, 2023)

Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. - Raghul Saravanan; Sathwika Bavikadi; Shubham Rai; Akash Kumar 001; Sai Manoj Pudukotai Dinakarrao (ISCAS, 2023)

Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (ISQED, 2023)

Automated Supervised Topic Modeling Framework for Hardware Weaknesses. - Rakibul Hassan; Charan Bandi; Meng-Tien Tsai; Shahriar Golchin; Sai Manoj P. D.; Setareh Rafatirad; Soheil Salehi (ISQED, 2023)

Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators. - Kevin Immanuel Gubbi; Inderpreet Kaur; Abdallah Hashem; Sai Manoj P. D.; Houman Homayoun; Avesta Sasan; Soheil Salehi (MWSCAS, 2023)

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. - Sayed Aresh Beheshti-Shirazi; Najmeh Nazari; Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Setareh Rafatirad; Houman Homayoun; Avesta Sasan; Sai Manoj P. D. (IEEE Access, 2023)

CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. - Amir Hosein Afandizadeh Zargari; Marzieh Ashrafiamiri; Minjun Seo; Sai Manoj Pudukotai Dinakarrao; Mohammed E. Fouda; Fadi J. Kurdahi (Inf., 2023)

Hardware Trojan Detection Using Machine Learning: A Tutorial. - Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Anirudh Srikanth; Tyler Sheaves; Sayed Arash Beheshti-Shirazi; Sai Manoj PD; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Soheil Salehi (ACM Trans. Embed. Comput. Syst., 2023)

Circuit Topology-Aware Vaccination-Based Hardware Trojan Detection. - Rakibul Hassan; Xingyu Meng; Kanad Basu; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Defense Against On-Chip Trojans Enabling Traffic Analysis Attacks Based on Machine Learning and Data Augmentation. - Abhijitt Dhavlle; M. Meraj Ahmed; Naseef Mansoor; Kanad Basu; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ASPDAC, 2024)

Special Session: Detecting and Defending Vulnerabilities in Heterogeneous and Monolithic Systems: Current Strategies and Future Directions. - Venkat Nitin Patnala; Sai Manoj Pudukotai Dinakarrao; Guru Venkataramani; Jie Chen 020; Preet Derasari; Milos Doroslovacki; Fan Yao; Hongyu Fang; Meron Demissie; Todd M. Austin; Lauren Biernacki; Saket Upadhyay; et al. (CASES, 2024)

Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. - Sreenitha Kasarapu; Dipkamal Bhusal; Nidhi Rastogi; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

The Fuzz Odyssey: A Survey on Hardware Fuzzing Frameworks for Hardware Design Verification. - Raghul Saravanan; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

Exploring Coverage Metrics in Hardware Fuzzing: A Comprehensive Analysis. - Raghul Saravanan; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. - Sanket Shukla; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. - Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ISLPED, 2024)

Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. - Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ISQED, 2024)

Dynamic Exit Selection for Comprehensive and Energy Efficient Gait-Based User Authentication on IoT Devices. - Pavlos Zouridakis; Sai Manoj Pudukotai Dinakarrao (ISVLSI, 2024)

Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (VLSID, 2024)

Processing-in-Memory Architecture with Precision-Scaling for Malware Detection. - Sreenitha Kasarapu; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao (VLSID, 2024)

The Emergence of Hardware Fuzzing: A Critical Review of its Significance. - Raghul Saravanan; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Generative AI-Based Effective Malware Detection for Embedded Computing Systems. - Sreenitha Kasarapu; Sanket Shukla; Rakibul Hassan; Avesta Sasan; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Empowering Malware Detection Efficiency within Processing-in-Memory Architecture. - Sreenitha Kasarapu; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Accelerating Hardware Verification with Graph Models. - Raghul Saravanan; Sreenitha Kasarapu; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Global explanation supervision for Graph Neural Networks. - Negar Etemadyrad; Yuyang Gao; Sai Manoj Pudukotai Dinakarrao; Liang Zhao 002 (Frontiers Big Data, 2024)

3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. - Purab Ranjan Sutradhar; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao; Mark A. Indovina; Amlan Ganguly (IEEE Trans. Emerg. Top. Comput., 2024)

Performance- and Energy-Aware Gait-Based User Authentication With Intermittent Computation for IoT Devices. - Pavlos Zouridakis; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Mark A. Indovina; Amlan Ganguly; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

3D-PLANE: A 3D-stacked DRAM-based Programmable SLM Accelerator Capable of Near-Memory and Energy-Efficient Parallel Processing. - Sathwika Bavikadi; Purab Ranjan Sutradhar; Jayanth Thangellamudi; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2025)

BrIM: A Branching In-Memory Accelerator. - Stefan Maczynski; Amlan Ganguly; Mark A. Indovina; Purab Ranjan Sutradhar; Sai Manoj Pudukotai Dinakarrao; Sathwika Bavikadi (ACM Great Lakes Symposium on VLSI, 2025)

Performance and Environment-Aware Advanced Driving Assistance Systems. - Sreenitha Kasarapu; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Computers, 2025)

SynFuzz: Leveraging Fuzzing of Netlist to Detect Synthesis Bugs. - Raghul Saravanan; Sudipta Paria; Aritra Dasgupta 002; Venkat Nitin Patnala; Swarup Bhunia; Sai Manoj PD (CoRR, 2025)

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search. - Sanaz Kazemi Abharian; Sai Manoj Pudukotai Dinakarrao (CoRR, 2025)

Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis. - Payal Bhattad; Sai Manoj Pudukotai Dinakarrao; Anju Gupta (CoRR, 2025)