Leakage Current in Deep-Submicron CMOS Circuits. - Kaushik Roy 001; Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand (J. Circuits Syst. Comput., 2002)

Accurate estimation of total leakage current in scaled CMOS logic circuits based on compact current modeling. - Saibal Mukhopadhyay; Arijit Raychowdhury; Kaushik Roy 001 (DAC, 2003)

Modeling of Ballistic Carbon Nanotube Field Effect Transistors for Efficient Circuit Simulation. - Arijit Raychowdhury; Saibal Mukhopadhyay; Kaushik Roy 001 (ICCAD, 2003)

A forward body-biased low-leakage SRAM cache: device and architecture considerations. - Chris H. Kim; Jae-Joon Kim; Saibal Mukhopadhyay; Kaushik Roy 001 (ISLPED, 2003)

Modeling and estimation of total leakage current in nano-scaled CMOS devices considering the effect of parameter variation. - Saibal Mukhopadhyay; Kaushik Roy 001 (ISLPED, 2003)

Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits. - Kauschick Roy; Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand (Proc. IEEE, 2003)

Gate leakage reduction for scaled devices using transistor stacking. - Saibal Mukhopadhyay; Cassondra Neau; R. T. Cakici; Amit Agarwal 001; Chris H. Kim; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2003)

Estimation of delay variations due to random-dopant fluctuations in nano-scaled CMOS circuits. - Hamid Mahmoodi-Meimand; Saibal Mukhopadhyay; Kaushik Roy 001 (CICC, 2004)

Leakage in nano-scale technologies: mechanisms, impact and design considerations. - Amit Agarwal 001; Chris H. Kim; Saibal Mukhopadhyay; Kaushik Roy 001 (DAC, 2004)

Variability analysis for sub-100 nm PD/SOI CMOS SRAM cell. - Rajiv V. Joshi; Saibal Mukhopadhyay; Donald W. Plass; Yuen H. Chan; Ching-Te Chuang; Anirudh Devgan (ESSCIRC, 2004)

Statistical design and optimization of SRAM cell for yield enhancement. - Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand; Kaushik Roy 001 (ICCAD, 2004)

A Novel Low-Power Scan Design Technique Using Supply Gating. - Swarup Bhunia; Hamid Mahmoodi-Meimand; Saibal Mukhopadhyay; Debjyoti Ghosh; Kaushik Roy 001 (ICCD, 2004)

Modeling and Estimation of Leakage in Sub-90nm Devices. - Arijit Raychowdhury; Saibal Mukhopadhyay; Kaushik Roy 001 (VLSI Design, 2004)

A circuit-compatible model of ballistic carbon nanotube field-effect transistors. - Arijit Raychowdhury; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004)

A Statistical Approach to Area-Constrained Yield Enhancement for Pipelined Circuits under Parameter Variations. - Animesh Datta; Swarup Bhunia; Saibal Mukhopadhyay; Kaushik Roy 001 (Asian Test Symposium, 2005)

Leakage Current Based Stabilization Scheme for Robust Sense-Amplifier Design for Yield Enhancement in Nano-scale SRAM. - Saibal Mukhopadhyay; Arijit Raychowdhury; Hamid Mahmoodi-Meimand; Kaushik Roy 001 (Asian Test Symposium, 2005)

Modeling and optimization approach to robust and low-power FinFET SRAM design in nanoscale era. - Aditya Bansal; Saibal Mukhopadhyay; Kairshik Roy 001 (CICC, 2005)

Fast and accurate estimation of nano-scaled SRAM read failure probability using critical point sampling. - Ik Joon Chang; Kunhyuk Kang; Saibal Mukhopadhyay; Chris H. Kim; Kaushik Roy 001 (CICC, 2005)

Statistical Modeling of Pipeline Delay and Design of Pipeline under Process Variation to Enhance Yield in sub-100nm Technologies. - Animesh Datta; Swarup Bhunia; Saibal Mukhopadhyay; Nilanjan Banerjee; Kaushik Roy 001 (DATE, 2005)

Modeling and Analysis of Loading Effect in Leakage of Nano-Scaled Bulk-CMOS Logic Circuits. - Saibal Mukhopadhyay; Swarup Bhunia; Kaushik Roy 001 (DATE, 2005)

A Feasibility Study of Subthreshold SRAM Across Technology Generations. - Arijit Raychowdhury; Saibal Mukhopadhyay; Kaushik Roy 001 (ICCD, 2005)

Process Variation Tolerant Online Current Monitor for Robust Systems. - Qikai Chen; Saibal Mukhopadhyay; Hamid Mahmoodi; Kaushik Roy 001 (IOLTS, 2005)

Yield Prediction of High Performance Pipelined Circuit with Respect to Delay Failures in Sub-100nm Technology. - Animesh Datta; Saibal Mukhopadhyay; Swarup Bhunia; Kaushik Roy 001 (IOLTS, 2005)

Modeling and analysis of total leakage currents in nanoscale double gate devices and circuits. - Saibal Mukhopadhyay; Keunwoo Kim; Ching-Te Chuang; Kaushik Roy 001 (ISLPED, 2005)

Modeling and Analysis of Gate Leakage in Ultra-thin Oxide Sub-50nm Double Gate Devices and Circuits. - Saibal Mukhopadhyay; Keunwoo Kim; Jae-Joon Kim; Shih-Hsien Lo; Rajiv V. Joshi; Ching-Te Chuang; Kaushik Roy 001 (ISQED, 2005)

Design of High Performance Sense Amplifier Using Independent Gate Control in sub-50nm Double-Gate MOSFET. - Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand; Kaushik Roy 001 (ISQED, 2005)

Reliable and self-repairing SRAM in nano-scale technologies using leakage and delay monitoring. - Saibal Mukhopadhyay; Kunhyuk Kang; Hamid Mahmoodi; Kaushik Roy 001 (ITC, 2005)

Process variation in embedded memories: failure analysis and variation aware architecture. - Amit Agarwal 001; Bipul C. Paul; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE J. Solid State Circuits, 2005)

Estimation of delay variations due to random-dopant fluctuations in nanoscale CMOS circuits. - Hamid Mahmoodi; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE J. Solid State Circuits, 2005)

Modeling of failure probability and statistical design of SRAM array for yield enhancement in nanoscaled CMOS. - Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2005)

Accurate estimation of total leakage in nanometer-scale bulk CMOS circuits based on device geometry and doping profile. - Saibal Mukhopadhyay; Arijit Raychowdhury; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2005)

Low-power scan design using first-level supply gating. - Swarup Bhunia; Hamid Mahmoodi-Meimand; Debjyoti Ghosh; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2005)

A forward body-biased low-leakage SRAM cache: device, circuit and architecture considerations. - Chris H. Kim; Jae-Joon Kim; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2005)

Speed binning aware design methodology to improve profit under parameter variations. - Animesh Datta; Swarup Bhunia; Jung Hwan Choi; Saibal Mukhopadhyay; Kaushik Roy 001 (ASP-DAC, 2006)

Optimization of Surface Orientation for High-Performance, Low-Power and Robust FinFET SRAM. - Saakshi Gangwal; Saibal Mukhopadhyay; Kaushik Roy 001 (CICC, 2006)

SRAMs in Scaled Technologies under Process Variations: Failure Mechanisms, Test & Variation Tolerant Design. - Saibal Mukhopadhyay; Amit Agarwal 001; Qikai Chen; Kaushik Roy 001 (CICC, 2006)

Self-calibration technique for reduction of hold failures in low-power nano-scaled SRAM. - Swaroop Ghosh; Saibal Mukhopadhyay; Keejong Kim; Kaushik Roy 001 (DAC, 2006)

Circuit-aware device design methodology for nanometer technologies: a case study for low power SRAM design. - Qikai Chen; Saibal Mukhopadhyay; Aditya Bansal; Kaushik Roy 001 (DATE, 2006)

Low-Power and Process Variation Tolerant Memories in sub-90nm Technologies. - Saibal Mukhopadhyay; Swaroop Ghosh; Keejong Kim; Kaushik Roy 001 (SoCC, 2006)

Double-Gate SOI Devices for Low-Power and High-Performance Applications. - Kaushik Roy 001; Hamid Mahmoodi-Meimand; Saibal Mukhopadhyay; Hari Ananthan; Aditya Bansal; Tamer Cakici (VLSI Design, 2006)

Leakage Power Analysis and Reduction for Nanoscale Circuits. - Amit Agarwal 001; Saibal Mukhopadhyay; Arijit Raychowdhury; Kaushik Roy 001; Chris H. Kim (IEEE Micro, 2006)

Delay Modeling and Statistical Design of Pipelined Circuit Under Process Variation. - Animesh Datta; Swarup Bhunia; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

Modeling and analysis of loading effect on leakage of nanoscaled bulk-CMOS logic circuits. - Saibal Mukhopadhyay; Swarup Bhunia; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

Modeling and Analysis of Leakage Currents in Double-Gate Technologies. - Saibal Mukhopadhyay; Keunwoo Kim; Ching-Te Chuang; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

A novel high-performance and robust sense amplifier using independent gate control in sub-50-nm double-gate MOSFET. - Saibal Mukhopadhyay; Hamid Mahmoodi-Meimand; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2006)

Memories in Scaled Technologies: A Review of Process Induced Failures, Test Methodologies, and Fault Tolerance. - Saibal Mukhopadhyay; Qikai Chen; Kaushik Roy 001 (DDECS, 2007)

Design and analysis of Thin-BOX FD/SOI devices for low-power and stable SRAM in sub-50nm technologies. - Saibal Mukhopadhyay; Keunwoo Kim; Ching-Te Chuang (ISLPED, 2007)

Statistical Characterization and On-Chip Measurement Methods for Local Random Variability of a Process Using Sense-Amplifier-Based Test Structure. - Saibal Mukhopadhyay; Keunwoo Kim; Keith A. Jenkins; Ching-Te Chuang; Kaushik Roy 001 (ISSCC, 2007)

Process Variations and Process-Tolerant Design. - Swarup Bhunia; Saibal Mukhopadhyay; Kaushik Roy 001 (VLSI Design, 2007)

Design of a Process Variation Tolerant Self-Repairing SRAM for Yield Enhancement in Nanoscaled CMOS. - Saibal Mukhopadhyay; Keejong Kim; Hamid Mahmoodi; Kaushik Roy 001 (IEEE J. Solid State Circuits, 2007)

Estimation of gate-to-channel tunneling current in ultra-thin oxide sub-50nm double gate devices. - Saibal Mukhopadhyay; Keunwoo Kim; Jae-Joon Kim; Shih-Hsien Lo; Rajiv V. Joshi; Ching-Te Chuang; Kaushik Roy 001 (Microelectron. J., 2007)

Analysis of the impact of interfacial oxide thickness variation on metal-gate high-K circuits. - Minki Cho; Kingsuk Maitra; Saibal Mukhopadhyay (CICC, 2008)

Hybrid CMOS-STTRAM non-volatile FPGA: design challenges and optimization approaches. - Somnath Paul; Saibal Mukhopadhyay; Swarup Bhunia (ICCAD, 2008)

Pre-Si estimation and compensation of SRAM layout deficiencies to achieve target performance and yield. - Aditya Bansal; Rama N. Singh; Saibal Mukhopadhyay; Geng Han; Fook-Luen Heng; Ching-Te Chuang (ICCD, 2008)

Capacitive coupling based transient negative bit-line voltage (Tran-NBL) scheme for improving write-ability of SRAM design in nanometer technologies. - Saibal Mukhopadhyay; Rahul M. Rao; Jae-Joon Kim; Ching-Te Chuang (ISCAS, 2008)

Variability Analysis for sub-100nm PD/SOI Sense-Amplifier. - Saibal Mukhopadhyay; Rajiv V. Joshi; Keunwoo Kim; Ching-Te Chuang (ISQED, 2008)

Optimal Dual-VT Design in Sub-100 Nanometer PDSOI and Double-Gate Technologies. - Aditya Bansal; Jae-Joon Kim; Keunwoo Kim; Saibal Mukhopadhyay; Ching-Te Chuang; Kaushik Roy 001 (VLSI Design, 2008)

Design and Analysis of a Self-Repairing SRAM with On-Chip Monitor and Compensation Circuitry. - Niladri Narayan Mojumder; Saibal Mukhopadhyay; Jae-Joon Kim; Ching-Te Chuang; Kaushik Roy 001 (VTS, 2008)

An On-Chip Test Structure and Digital Measurement Method for Statistical Characterization of Local Random Variability in a Process. - Saibal Mukhopadhyay; Keunwoo Kim; Keith A. Jenkins; Ching-Te Chuang; Kaushik Roy 001 (IEEE J. Solid State Circuits, 2008)

Reduction of Parametric Failures in Sub-100-nm SRAM Array Using Body Bias. - Saibal Mukhopadhyay; Hamid Mahmoodi; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

Profit Aware Circuit Design Under Process Variations Considering Speed Binning. - Animesh Datta; Swarup Bhunia; Jung Hwan Choi; Saibal Mukhopadhyay; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2008)

Accuracy-aware SRAM: a reconfigurable low power SRAM architecture for mobile multimedia applications. - Minki Cho; Jason Schlessman; Wayne H. Wolf; Saibal Mukhopadhyay (ASP-DAC, 2009)

Yield estimation of SRAM circuits using "Virtual SRAM Fab". - Aditya Bansal; Rama N. Singh; Rouwaida Kanj; Saibal Mukhopadhyay; Jin-Fuw Lee; Emrah Acar; Amith Singhee; Keunwoo Kim; Ching-Te Chuang; Sani R. Nassif; Fook-Luen Heng; Koushik K. Das (ICCAD, 2009)

A methodology for robust, energy efficient design of Spin-Torque-Transfer RAM arrays at scaled technologies. - Subho Chatterjee; Mitchelle Rasquinha; Sudhakar Yalamanchili; Saibal Mukhopadhyay (ICCAD, 2009)

A circuit-software co-design approach for improving EDP in reconfigurable frameworks. - Somnath Paul; Subho Chatterjee; Saibal Mukhopadhyay; Swarup Bhunia (ICCAD, 2009)

On improving the algorithmic robustness of a low-power FIR filter. - Sourabh Khire; Saibal Mukhopadhyay (ICCD, 2009)

Experimental analysis of sequence dependence on energy saving for error tolerant image processing. - Se Hun Kim; Saibal Mukhopadhyay; Wayne H. Wolf (ISLPED, 2009)

Slew-aware clock tree design for reliable subthreshold circuits. - Jeremy R. Tolbert; Xin Zhao 001; Sung Kyu Lim; Saibal Mukhopadhyay (ISLPED, 2009)

Accurate buffer modeling with slew propagation in subthreshold circuits. - Jeremy R. Tolbert; Saibal Mukhopadhyay (ISQED, 2009)

Through-silicon-via aware interconnect prediction and optimization for 3D stacked ICs. - Dae Hyun Kim 004; Saibal Mukhopadhyay; Sung Kyu Lim (SLIP, 2009)

Design of Sub-90 nm Low-Power and Variation Tolerant PD/SOI SRAM Cell Based on Dynamic Stability Metrics. - Rajiv V. Joshi; Saibal Mukhopadhyay; Donald W. Plass; Yuen H. Chan; Ching-Te Chuang; Yue Tan (IEEE J. Solid State Circuits, 2009)

A dynamic timing control technique utilizing time borrowing and clock stretching. - Kwanyeob Chae; Saibal Mukhopadhyay; Chang-Ho Lee; Joy Laskar (CICC, 2010)

Design method and test structure to characterize and repair TSV defect induced signal degradation in 3D system. - Minki Cho; Chang Liu 034; Dae Hyun Kim 004; Sung Kyu Lim; Saibal Mukhopadhyay (ICCAD, 2010)

Analysis of thermal behaviors of spin-torque-transfer RAM: a simulation study. - Subho Chatterjee; Sayeef S. Salahuddin; Satish Kumar; Saibal Mukhopadhyay (ISLPED, 2010)

An energy efficient cache design using spin torque transfer (STT) RAM. - Mitchelle Rasquinha; Dhruv Choudhary; Subho Chatterjee; Saibal Mukhopadhyay; Sudhakar Yalamanchili (ISLPED, 2010)

Signal processing methods and hardware-structure for on-line characterization of thermal gradients in many-core processors. - Minki Cho; Saibal Mukhopadhyay (ISQED, 2010)

A low power system with adaptive data compression for wireless monitoring of physiological signals and its application to wireless electroencephalography. - Jeremy R. Tolbert; Pratik Kabali; Simeranjit Brar; Saibal Mukhopadhyay (ISQED, 2010)

Optimization of burn-in test for many-core processors through adaptive spatiotemporal power migration. - Minki Cho; Nikhil Sathe; Arijit Raychowdhury; Saibal Mukhopadhyay (ITC, 2010)

Postsilicon Adaptation for Low-Power SRAM under Process Variation. - Minki Cho; Jason Schlessman; Hamid Mahmoodi; Marilyn Wolf; Saibal Mukhopadhyay (IEEE Des. Test Comput., 2010)

Dual-Source-Line-Bias Scheme to Improve the Read Margin and Sensing Accuracy of STTRAM in Sub-90-nm Nodes. - Subho Chatterjee; Sayeef S. Salahuddin; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2010)

Self-Repairing SRAM Using On-Chip Detection and Compensation. - Niladri Narayan Mojumder; Saibal Mukhopadhyay; Jae-Joon Kim; Ching-Te Chuang; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2010)

Variation-aware clock network design methodology for ultra-low voltage (ULV) circuits. - Xin Zhao 001; Jeremy R. Tolbert; Chang Liu 034; Saibal Mukhopadhyay; Sung Kyu Lim (ISLPED, 2011)

Low energy process variation tolerant digital image processing system design based on accuracy-energy tradeoffs. - Se Hun Kim; Saibal Mukhopadhyay; Honggab Kim; Marilyn Wolf (SiPS, 2011)

Energy-Efficient Reconfigurable Computing Using a Circuit-Architecture-Software Co-Design Approach. - Somnath Paul; Subho Chatterjee; Saibal Mukhopadhyay; Swarup Bhunia (IEEE J. Emerg. Sel. Topics Circuits Syst., 2011)

Modeling and Analysis of Image Dependence and Its Implications for Energy Savings in Error Tolerant Image Processing. - Se Hun Kim; Saibal Mukhopadhyay; Marilyn Wolf (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2011)

Analysis and Design of Energy and Slew Aware Subthreshold Clock Systems. - Jeremy R. Tolbert; Xin Zhao 001; Sung Kyu Lim; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2011)

A Scalable Design Methodology for Energy Minimization of STTRAM: A Circuit and Architecture Perspective. - Subho Chatterjee; Mitchelle Rasquinha; Sudhakar Yalamanchili; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2011)

Reconfigurable SRAM Architecture With Spatial Voltage Scaling for Low Power Mobile Multimedia Applications. - Minki Cho; Jason Schlessman; Marilyn Wolf; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2011)

SRAM Write-Ability Improvement With Transient Negative Bit-Line Voltage. - Saibal Mukhopadhyay; Rahul M. Rao; Jae-Joon Kim; Ching-Te Chuang (IEEE Trans. Very Large Scale Integr. Syst., 2011)

Prospects of active cooling with integrated super-lattice based thin-film thermoelectric devices for mitigating hotspot challenges in microprocessors. - Borislav Alexandrov; Owen Sullivan; Satish Kumar; Saibal Mukhopadhyay (ASP-DAC, 2012)

Tier-adaptive-voltage-scaling (TAVS): A methodology for post-silicon tuning of 3D ICs. - Kwanyeob Chae; Saibal Mukhopadhyay (ASP-DAC, 2012)

Characterization of Inverse Temperature Dependence in logic circuits. - Minki Cho; Muhammad M. Khellah; Kwanyeob Chae; Khondker Zakir Ahmed 001; James W. Tschanz; Saibal Mukhopadhyay (CICC, 2012)

Low-power design under variation using error prevention and error tolerance (invited paper). - Kwanyeob Chae; Minki Cho; Saibal Mukhopadhyay (LATW, 2012)

Instruction-based energy estimation methodology for asymmetric manycore processor simulations. - William J. Song; Sudhakar Yalamanchili; Arun F. Rodrigues; Saibal Mukhopadhyay (SimuTools, 2012)

Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. - Amit Ranjan Trivedi; Saibal Mukhopadhyay (VTS, 2012)

On the parametric failures of SRAM in a 3D-die stack considering tier-to-tier supply cross-talk. - Wen Yueh; Subho Chatterjee; Amit Ranjan Trivedi; Saibal Mukhopadhyay (VTS, 2012)

Improving IC Security Against Trojan Attacks Through Integration of Security Monitors. - Seetharam Narasimhan; Wen Yueh; Xinmu Wang; Saibal Mukhopadhyay; Swarup Bhunia (IEEE Des. Test Comput., 2012)

Modeling and Designing for Accuracy and Energy Efficiency in Wireless Electroencephalography Systems. - Jeremy R. Tolbert; Pratik Kabali; Simeranjit Brar; Saibal Mukhopadhyay (ACM J. Emerg. Technol. Comput. Syst., 2012)

Variation-Aware Clock Network Design Methodology for Ultralow Voltage (ULV) Circuits. - Xin Zhao 001; Jeremy R. Tolbert; Saibal Mukhopadhyay; Sung Kyu Lim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

All-Digital Adaptive Clocking to Tolerate Transient Supply Noise in a Low-Voltage Operation. - Kwanyeob Chae; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2012)

A 110nA synchronous boost regulator with autonomous bias gating for energy harvesting. - Khondker Zakir Ahmed 001; Saibal Mukhopadhyay (CICC, 2013)

On the potential of 3D integration of inductive DC-DC converter for high-performance power delivery. - Sergio Carlo; Wen Yueh; Saibal Mukhopadhyay (DAC, 2013)

Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. - Amit Ranjan Trivedi; Sergio Carlo; Saibal Mukhopadhyay (DAC, 2013)

Role of power grid in side channel attack and power-grid-aware secure design. - Xinmu Wang; Wen Yueh; Debapriya Basu Roy; Seetharam Narasimhan; Yu Zheng 011; Saibal Mukhopadhyay; Debdeep Mukhopadhyay; Swarup Bhunia (DAC, 2013)

Perceptual quality preserving SRAM architecture for color motion pictures. - Wen Yueh; Minki Cho; Saibal Mukhopadhyay (DATE, 2013)

Physics of computing as an introduction to computer engineering. - Marilyn Wolf; Saibal Mukhopadhyay (FIE, 2013)

Error resilient logic circuits under dynamic variations. - Kwanyeob Chae; Saibal Mukhopadhyay (IOLTS, 2013)

On the impact of 3D integration on high-throughput sensor information processing: A case study with image sensing. - Denny Lie; Kwanyeob Chae; Saibal Mukhopadhyay (NANOARCH, 2013)

Electrothermal analysis of spin-transfer-torque random access memory arrays. - Subho Chatterjee; Sayeef S. Salahuddin; Satish Kumar; Saibal Mukhopadhyay (ACM J. Emerg. Technol. Comput. Syst., 2013)

Information theoretic models for signatures in VLSI power delivery systems. - Marilyn Wolf; Saibal Mukhopadhyay (WESS, 2014)

Impact of inductive integrated voltage regulator on the power attack vulnerability of encryption engines: A simulation study. - Monodeep Kar; Denny Lie; Marilyn Wolf; Vivek De; Saibal Mukhopadhyay (CICC, 2014)

On the Design of Reliable 3D-ICs Considering Charged Device Model ESD Events During Die Stacking. - Duckhwan Kim 001; Saibal Mukhopadhyay (DAC, 2014)

Ultra-low power electronics with Si/Ge tunnel FET. - Amit Ranjan Trivedi; Mohammad Faisal Amir; Saibal Mukhopadhyay (DATE, 2014)

Robust low-power reconfigurable computing with a variation-aware preferential design approach. - Somnath Paul; Saibal Mukhopadhyay; Swarup Bhunia (ICICDT, 2014)

An on-chip autonomous thermoelectric energy management system for energy-efficient active cooling. - Borislav Alexandrov; Khondker Zakir Ahmed 001; Saibal Mukhopadhyay (ISLPED, 2014)

Impact of process variation in inductive integrated voltage regulator on delay and power of digital circuits. - Monodeep Kar; Sergio Carlo; Harish Kumar Krishnamurthy; Saibal Mukhopadhyay (ISLPED, 2014)

Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (ISPASS, 2014)

An analytical approach to system-level variation analysis and optimization for multi-core processor. - Chenyun Pan; Saibal Mukhopadhyay; Azad Naeemi (ISQED, 2014)

Guest Editorial Computing in Emerging Technologies (First Issue). - Saibal Mukhopadhyay; Swarup Bhunia; Hillery C. Hunter; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2014)

TSV-Aware Interconnect Distribution Models for Prediction of Delay and Power Consumption of 3-D Stacked ICs. - Daehyun Kim 004; Saibal Mukhopadhyay; Sung Kyu Lim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

A Dynamic Timing Error Prevention Technique in Pipelines With Time Borrowing and Clock Stretching. - Kwanyeob Chae; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Resilient Pipeline Under Supply Noise With Programmable Time Borrowing and Delayed Clock Gating. - Kwanyeob Chae; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2014)

In Situ Power Gating Efficiency Learner for Fine-Grained Self-Adaptive Power Gating. - Amit Ranjan Trivedi; Wen Yueh; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2014)

Control Principles and On-Chip Circuits for Active Cooling Using Integrated Superlattice-Based Thin-Film Thermoelectric Devices. - Borislav Alexandrov; Owen Sullivan; William J. Song; Sudhakar Yalamanchili; Satish Kumar; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2014)

A Variation-Aware Preferential Design Approach for Memory-Based Reconfigurable Computing. - Somnath Paul; Saibal Mukhopadhyay; Swarup Bhunia (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Optimization of FinFET-based circuits using a dual gate pitch technique. - Sravan K. Marella; Amit Ranjan Trivedi; Saibal Mukhopadhyay; Sachin S. Sapatnekar (ICCAD, 2015)

Managing performance-reliability tradeoffs in multicore processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (IRPS, 2015)

A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (ISLPED, 2015)

Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. - Arvind Singh; Monodeep Kar; Jong Hwan Ko; Saibal Mukhopadhyay (ISLPED, 2015)

Experimental characterization of in-package microfluidic cooling on a System-on-Chip. - Wen Yueh; Zhimin Wan; Yogendra Joshi; Saibal Mukhopadhyay (ISLPED, 2015)

Near Data Processing: Impact and Optimization of 3D Memory System Architecture on the Uncore. - Syed Minhaj Hassan; Sudhakar Yalamanchili; Saibal Mukhopadhyay (MEMSYS, 2015)

Architectural Reliability: Lifetime Reliability Characterization and Management ofMany-Core Processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (IEEE Comput. Archit. Lett., 2015)

Guest Editorial Computing in Emerging Technologies (Second Issue). - Saibal Mukhopadhyay; Swarup Bhunia; Hillery C. Hunter; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

Exploring Spin Transfer Torque Devices for Unconventional Computing. - Kaushik Roy 001; Deliang Fan; Xuanyao Fong; Yusung Kim 002; Mrigank Sharad; Somnath Paul; Subho Chatterjee; Swarup Bhunia; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

SP-CNN: A Scalable and Programmable CNN-Based Accelerator. - Dilan Manatunga; Hyesoon Kim; Saibal Mukhopadhyay (IEEE Micro, 2015)

On the Impact of Energy-Accuracy Tradeoff in a Digital Cellular Neural Network for Image Processing. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

A Memory-Based Logic Block With Optimized-for-Read SRAM for Energy-Efficient Reconfigurable Computing Fabric. - Wen Yueh; Subho Chatterjee; Muneeb Zia; Swarup Bhunia; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance. - Jong Hwan Ko; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (IEEE Trans. Multi Scale Comput. Syst., 2015)

(Invited paper) energy delivery for self-powered IoT devices. - Khondker Zakir Ahmed 001; Monodeep Kar; Saibal Mukhopadhyay (ASP-DAC, 2016)

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (AVSS, 2016)

Behavioral modeling of timing slack variation in digital circuits due to power supply noise. - Taesik Na; Saibal Mukhopadhyay (DATE, 2016)

Reconfigurable 96×128 active pixel sensor with 2.1µW/mm2 power generation and regulated multi-domain power delivery for self-powered imaging. - Khondker Zakir Ahmed 001; Mohammad Faisal Amir; Jong Hwan Ko; Saibal Mukhopadhyay (ESSCIRC, 2016)

An integrated inductive VR with a 250MHz all-digital multisampled compensator and on-chip auto-tuning of coefficients in 130nm CMOS. - Monodeep Kar; Arvind Singh; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ESSCIRC, 2016)

Integrated all-digital low-dropout regulator as a countermeasure to power attack in encryption engines. - Arvind Singh; Monodeep Kar; Anand Rajan; Vivek De; Saibal Mukhopadhyay (HOST, 2016)

Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (HPCA, 2016)

A single-inductor-cascaded-stage topology for high conversion ratio boost regulator. - Khondker Zakir Ahmed 001; Saibal Mukhopadhyay (ICCD, 2016)

What does ultra low power requirements mean for side-channel secure cryptography? - Monodeep Kar; Arvind Singh; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ICCD, 2016)

ReRAM Crossbar based Recurrent Neural Network for human activity detection. - Yun Long; Eui Min Jung; Jaeha Kung; Saibal Mukhopadhyay (IJCNN, 2016)

Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory. - Duckhwan Kim 001; Jaeha Kung; Sek M. Chai; Sudhakar Yalamanchili; Saibal Mukhopadhyay (ISCA, 2016)

Exploiting Fully Integrated Inductive Voltage Regulators to Improve Side Channel Resistance of Encryption Engines. - Monodeep Kar; Arvind Singh; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ISLPED, 2016)

An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. - Jong Hwan Ko; Saibal Mukhopadhyay (ISLPED, 2016)

Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (ISLPED, 2016)

Speeding up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator. - Taesik Na; Saibal Mukhopadhyay (ISLPED, 2016)

Welcome. - Brian Cline; Saibal Mukhopadhyay; Peter J. Wright; Hai Li; Vinod Viswanath; Paul Wesling; Gang Qu 001; Ali Iranmanesh (ISQED, 2016)

Thermally Adaptive Cache Access Mechanisms for 3D Many-Core Architectures. - He Xiao; Wen Yueh; Saibal Mukhopadhyay; Sudhakar Yalamanchili (IEEE Comput. Archit. Lett., 2016)

Exploration of Si/Ge Tunnel FET Bit Cells for Ultra-low Power Embedded Memory. - Mohammad Faisal Amir; Amit Ranjan Trivedi; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Impact of Heterogeneous Technology Integration on the Power, Performance, and Quality of a 3D Image Sensor. - Denny Lie; Amit Ranjan Trivedi; Saibal Mukhopadhyay (IEEE Trans. Multi Scale Comput. Syst., 2016)

Partitioning Methods for Interface Circuit of Heterogeneous 3-D-ICs Under Process Variation. - Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation. - Jong Hwan Ko; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (DAC, 2017)

Adaptive weight compression for memory-efficient neural networks. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Jaeha Kung; Saibal Mukhopadhyay (DATE, 2017)

Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (DATE, 2017)

Improved power side channel attack resistance of a 128-bit AES engine with random fast voltage dithering. - Arvind Singh; Monodeep Kar; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ESSCIRC, 2017)

Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube. - Ramyad Hadidi; Bahar Asgari; Burhan Ahmad Mudassar; Saibal Mukhopadhyay; Sudhakar Yalamanchili; Hyesoon Kim (IISWC, 2017)

On-chip training of recurrent neural networks with limited numerical precision. - Taesik Na; Jong Hwan Ko; Jaeha Kung; Saibal Mukhopadhyay (IJCNN, 2017)

A Programmable Hardware Accelerator for Simulating Dynamical Systems. - Jaeha Kung; Yun Long; Duckhwan Kim 001; Saibal Mukhopadhyay (ISCA, 2017)

Invited paper: Low power requirements and side-channel protection of encryption engines: Challenges and opportunities. - Monodeep Kar; Arvind Singh; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ISLPED, 2017)

8.1 Improved power-side-channel-attack resistance of an AES-128 core via a security-aware integrated buck voltage regulator. - Monodeep Kar; Arvind Singh; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ISSCC, 2017)

Energy-efficient neural image processing for Internet-of-Things edge devices. - Jong Hwan Ko; Yun Long; Mohammad Faisal Amir; Duckhwan Kim 001; Jaeha Kung; Taesik Na; Amit Ranjan Trivedi; Saibal Mukhopadhyay (MWSCAS, 2017)

VLSI for the Internet of Things. - Marilyn Wolf; Saibal Mukhopadhyay (Computer, 2017)

NeuroTrainer: An Intelligent Memory Module for Deep Learning Training. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (CoRR, 2017)

Reducing Side-Channel Leakage of Encryption Engines Using Integrated Low-Dropout Voltage Regulators. - Arvind Singh; Monodeep Kar; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (J. Hardw. Syst. Secur., 2017)

An All-Digital Fully Integrated Inductive Buck Regulator With A 250-MHz Multi-Sampled Compensator and a Lightweight Auto-Tuner in 130-nm CMOS. - Monodeep Kar; Arvind Singh; Anand Rajan; Vivek De; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2017)

A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. - Jong Hwan Ko; Mohammad Faisal Amir; Khondker Zakir Ahmed 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing. - Duckhwan Kim 001; Jaeha Kung; Saibal Mukhopadhyay (IEEE Trans. Emerg. Top. Comput., 2017)

Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. - Jong Hwan Ko; Taesik Na; Mohammad Faisal Amir; Saibal Mukhopadhyay (AVSS, 2018)

Adaptive Control of Camera Modality with Deep Neural Network-Based Feedback for Efficient Object Tracking. - Priyabrata Saha; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (AVSS, 2018)

HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. - Yun Long; Xueyuan She; Saibal Mukhopadhyay (CoRL, 2018)

Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. - Burhan Ahmad Mudassar; Jong Hwan Ko; Saibal Mukhopadhyay (DAC, 2018)

Performance based tuning of an inductive integrated voltage regulator driving a digital core against process and passive variations. - Venakata Chaitanya Krishna Chekuri; Monodeep Kar; Arvind Singh; Saibal Mukhopadhyay (DATE, 2018)

Accelerating biophysical neural network simulation with region of interest based approximation. - Yun Long; Xueyuan She; Saibal Mukhopadhyay (DATE, 2018)

The CAMEL approach to stacked sensor smart cameras. - Saibal Mukhopadhyay; Marilyn Wolf; Mohammed Faisal Amir; Evan Gebhardt; Jong Hwan Ko; Jaeha Kung; Burhan Ahmad Musassar (DATE, 2018)

Exploiting on-chip power management for side-channel security. - Arvind Singh; Monodeep Kar; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (DATE, 2018)

Energy efficient and side-channel secure hardware architecture for lightweight cipher SIMON. - Arvind Singh; Nikhil Chawla; Monodeep Kar; Saibal Mukhopadhyay (HOST, 2018)

An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. - Burhan Ahmad Mudassar; Jong Hwan Ko; Saibal Mukhopadhyay (ICASSP, 2018)

A ferroelectric FET based power-efficient architecture for data-intensive computing. - Yun Long; Taesik Na; Prakshi Rastogi; Karthik Rao; Asif Islam Khan; Sudhakar Yalamanchili; Saibal Mukhopadhyay (ICCAD, 2018)

Cascade Adversarial Machine Learning Regularized with a Unified Embedding. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (ICLR (Poster), 2018)

Blindsight: Blinding EM Side-Channel Leakage using Built-In Fully Integrated Inductive Voltage Regulator. - Monodeep Kar; Arvind Singh; Sanu Mathew; Santosh Ghosh; Anand Rajan; Vivek De; Raheem A. Beyah; Saibal Mukhopadhyay (CoRR, 2018)

Memory Slices: A Modular Building Block for Scalable, Intelligent Memory Systems. - Bahar Asgari; Saibal Mukhopadhyay; Sudhakar Yalamanchili (CoRR, 2018)

An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Reducing Power Side-Channel Information Leakage of AES Engines Using Fully Integrated Inductive Voltage Regulator. - Monodeep Kar; Arvind Singh; Sanu K. Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2018)

DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks. - Duckhwan Kim 001; Taesik Na; Sudhakar Yalamanchili; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Adaptive Precision Cellular Nonlinear Network. - Jaeha Kung; Duckhwan Kim 001; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2018)

ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration. - Yun Long; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Efficient Object Detection Using Embedded Binarized Neural Networks. - Jaeha Kung; David C. Zhang; Gooitzen S. van der Wal; Sek M. Chai; Saibal Mukhopadhyay (J. Signal Process. Syst., 2018)

A Spatiotemporal Pre-processing Network for Activity Recognition under Rain. - Minah Lee; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (BMVC, 2019)

Rethinking Convolutional Feature Extraction for Small Object Detection. - Burhan Ahmad Mudassar; Saibal Mukhopadhyay (BMVC, 2019)

Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. - Jinwoo Kim; Gauthaman Murali; Heechun Park; Eric Qin 001; Hyoukjun Kwon; Venkata Chaitanya Krishna Chekuri; Nihar Dasari; Arvind Singh; Minah Lee; Hakki Mert Torun; Kallol Roy; Madhavan Swaminathan; et al. (DAC, 2019)

RTL-to-GDS Tool Flow and Design-for-Test Solutions for Monolithic 3D ICs. - Heechun Park; Kyungwook Chang; Bon Woong Ku; Jinwoo Kim; Edward Lee; Daehyun Kim 002; Arjun Chaudhuri; Sanmitra Banerjee; Saibal Mukhopadhyay; Krishnendu Chakrabarty; Sung Kyu Lim (DAC, 2019)

Design of Reliable DNN Accelerator with Un-reliable ReRAM. - Yun Long; Xueyuan She; Saibal Mukhopadhyay (DATE, 2019)

A Camera with Brain - Embedding Machine Learning in 3D Sensors. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (DATE, 2019)

Fast and Low-Precision Learning in GPU-Accelerated Spiking Neural Network. - Xueyuan She; Yun Long; Saibal Mukhopadhyay (DATE, 2019)

Mitigating Power Supply Glitch based Fault Attacks with Fast All-Digital Clock Modulation Circuit. - Arvind Singh; Monodeep Kar; Nikhil Chawla; Saibal Mukhopadhyay (DATE, 2019)

Extracting Side-Channel Leakage from Round Unrolled Implementations of Lightweight Ciphers. - Nikhil Chawla; Arvind Singh; Nael Mizanur Rahman; Monodeep Kar; Saibal Mukhopadhyay (HOST, 2019)

A Spectral Convolutional Net for Co-Optimization of Integrated Voltage Regulators and Embedded Inductors. - Hakki Mert Torun; Huan Yu; Nihar Dasari; Venkata Chaitanya Krishna Chekuri; Arvind Singh; Jinwoo Kim; Sung Kyu Lim; Saibal Mukhopadhyay; Madhavan Swaminathan (ICCAD, 2019)

Application Inference using Machine Learning based Side Channel Analysis. - Nikhil Chawla; Arvind Singh; Monodeep Kar; Saibal Mukhopadhyay (IJCNN, 2019)

FocalNet - Foveal Attention for Post-processing DNN Outputs. - Burhan Ahmad Mudassar; Saibal Mukhopadhyay (IJCNN, 2019)

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. - Taesik Na; Minah Lee; Burhan Ahmad Mudassar; Priyabrata Saha; Jong Hwan Ko; Saibal Mukhopadhyay (IJCNN, 2019)

Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. - Xueyuan She; Yun Long; Saibal Mukhopadhyay (IJCNN, 2019)

On the Effect of NBTI Induced Aging of Power Stage on the Transient Performance of On-Chip Voltage Regulators. - Venkata Chaitanya Krishna Chekuri; Arvind Singh; Nihar Dasari; Saibal Mukhopadhyay (IRPS, 2019)

Automatic GDSII Generator for On-Chip Voltage Regulator for Easy Integration in Digital SoCs. - Venkata Chaitanya Krishna Chekuri; Nihar Dasari; Arvind Singh; Saibal Mukhopadhyay (ISLPED, 2019)

A 128b AES Engine with Higher Resistance to Power and Electromagnetic Side-Channel Attacks Enabled by a Security-Aware Integrated All-Digital Low-Dropout Regulator. - Arvind Singh; Monodeep Kar; Sanu Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (ISSCC, 2019)

CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Heterogeneous integration for artificial intelligence: Challenges and opportunities. - Saibal Mukhopadhyay; Yun Long; Burhan Ahmad Mudassar; C. S. Nair; Bartlet H. DeProspo; Hakki Mert Torun; M. Kathaperumal; V. Smet; Duckhwan Kim 001; Sudhakar Yalamanchili; Madhavan Swaminathan (IBM J. Res. Dev., 2019)

Multigated Carbon Nanotube Field Effect Transistors-Based Physically Unclonable Functions As Security Keys. - Nitish Kumar; Jialuo Chen; Monodeep Kar; Suresh K. Sitaraman; Saibal Mukhopadhyay; Satish Kumar (IEEE Internet Things J., 2019)

Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes. - Arvind Singh; Nikhil Chawla; Jong Hwan Ko; Monodeep Kar; Saibal Mukhopadhyay (IEEE Internet Things J., 2019)

Improved Power/EM Side-Channel Attack Resistance of 128-Bit AES Engines With Random Fast Voltage Dithering. - Arvind Singh; Monodeep Kar; Sanu K. Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2019)

Energy-Secure System Architectures (ESSA): A Workshop Report. - Pradip Bose; Saibal Mukhopadhyay (IEEE Micro, 2019)

Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Autotuning of Integrated Inductive Voltage Regulator Using On-Chip Delay Sensor to Tolerate Process and Passive Variations. - Venkata Chaitanya Krishna Chekuri; Monodeep Kar; Arvind Singh; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart Sensor. - Minah Lee; Mandovi Mukherjee; Priyabrata Saha; Mohammad Faisal Amir; Taesik Na; Saibal Mukhopadhyay (AICAS, 2020)

A Fully Synthesized Integrated Buck Regulator with Auto-generated GDS-II in 65nm CMOS Process. - Venkata Chaitanya Krishna Chekuri; Nael Mizanur Rahman; Edward Lee; Arvind Singh; Saibal Mukhopadhyay (CICC, 2020)

An Authentication IC with Visible Light Based Interrogation in 65nm CMOS. - Edward Lee; Nael Mizanur Rahman; Venkata Chaitanya Krishna Chekuri; Saibal Mukhopadhyay (CICC, 2020)

A Configurable Dual-Mode PRINCE Cipher with Security Aware Pipelining in 65nm for High Throughput Applications. - Nael Mizanur Rahman; Edward Lee; Venkata Chaitanya Krishna Chekuri; Arvind Singh; Saibal Mukhopadhyay (CICC, 2020)

WarningNet: A Deep Learning Platform for Early Warning of Task Failures under Input Perturbation for Reliable Autonomous Platforms. - Minah Lee; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (DAC, 2020)

Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. - Yun Long; Edward Lee; Daehyun Kim 002; Saibal Mukhopadhyay (DAC, 2020)

Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. - Saurabh Dash; Saibal Mukhopadhyay (ICCAD, 2020)

RTL-to-GDS Design Tools for Monolithic 3D ICs. - Jinwoo Kim; Gauthaman Murali; Pruek Vanna-Iampikul; Edward Lee; Daehyun Kim 004; Arjun Chaudhuri; Sanmitra Banerjee; Krishnendu Chakrabarty; Saibal Mukhopadhyay; Sung Kyu Lim (ICCAD, 2020)

Silicon vs. Organic Interposer: PPA and Reliability Tradeoffs in Heterogeneous 2.5D Chiplet Integration. - Jinwoo Kim; Venkata Chaitanya Krishna Chekuri; Nael Mizanur Rahman; Majid Ahadi Dolatsara; Hakki Mert Torun; Madhavan Swaminathan; Saibal Mukhopadhyay; Sung Kyu Lim (ICCD, 2020)

MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network. - Priyabrata Saha; Arslan Ali; Burhan Ahmad Mudassar; Yun Long; Saibal Mukhopadhyay (ICRA, 2020)

Uncertainty Characterization in Active Sensor Systems with DNN-based Feedback Control. - Burhan Ahmad Mudassar; Priyabrata Saha; Saibal Mukhopadhyay (IEEE SENSORS, 2020)

Algorithm-Circuit Cross-layer Control for Digital Pixel Image Sensors. - Mandovi Mukherjee; Burhan Ahmad Mudassar; Minah Lee; Saibal Mukhopadhyay (IEEE SENSORS, 2020)

Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. - Yun Long; Edward Lee; Daehyun Kim 002; Saibal Mukhopadhyay (IJCNN, 2020)

Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars. - Kruttidipta Samal; Marilyn Wolf; Saibal Mukhopadhyay (IJCNN, 2020)

SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. - Xueyuan She; Priyabrata Saha; Daehyun Kim 002; Yun Long; Saibal Mukhopadhyay (IJCNN, 2020)

Aging Challenges in On-chip Voltage Regulator Design. - Venkata Chaitanya Krishna Chekuri; Arvind Singh; Nael Mizanur Rahman; Edward Lee; Saibal Mukhopadhyay (IRPS, 2020)

BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. - Harshit Kumar; Nikhil Chawla; Saibal Mukhopadhyay (ISLPED, 2020)

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 2020)

PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems. - Priyabrata Saha; Saurabh Dash; Saibal Mukhopadhyay (CoRR, 2020)

Neural Identification for Control. - Priyabrata Saha; Saibal Mukhopadhyay (CoRR, 2020)

A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation. - Priyabrata Saha; Saibal Mukhopadhyay (CoRR, 2020)

Advances in Design and Test of Monolithic 3-D ICs. - Arjun Chaudhuri; Sanmitra Banerjee; Heechun Park; Jinwoo Kim; Gauthaman Murali; Edward Lee; Daehyun Kim 002; Sung Kyu Lim; Saibal Mukhopadhyay; Krishnendu Chakrabarty (IEEE Des. Test, 2020)

Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network. - Minah Lee; Mandovi Mukherjee; Edward Lee; Priyabrata Saha; Mohammad Faisal Amir; Taesik Na; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Attention-Based Activation Pruning to Reduce Data Movement in Real-Time AI: A Case-Study on Local Motion Planning in Autonomous Vehicles. - Kruttidipta Samal; Marilyn Wolf; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Enhanced Power and Electromagnetic SCA Resistance of Encryption Engines via a Security-Aware Integrated All-Digital LDO. - Arvind Singh; Monodeep Kar; Venkata Chaitanya Krishna Chekuri; Sanu K. Mathew; Anand Rajan; Vivek De; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2020)

An Inductive Voltage Regulator With Overdrive Tracking Across Input Voltage in Cascoded Power Stage. - Venkata Chaitanya Krishna Chekuri; Monodeep Kar; Arvind Singh; Anto Kavungal Davis; Mohamed Lamine Faycal Bellaredj; Madhavan Swaminathan; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst., 2020)

Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse. - Jinwoo Kim; Gauthaman Murali; Heechun Park; Eric Qin 001; Hyoukjun Kwon; Venkata Chaitanya Krishna Chekuri; Nael Mizanur Rahman; Nihar Dasari; Arvind Singh; Minah Lee; Hakki Mert Torun; Kallol Roy; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators. - Nathan Eli Miller; Zheng Wang; Saurabh Dash; Asif Islam Khan; Saibal Mukhopadhyay (AICAS, 2021)

Introspective Closed-Loop Perception for Energy-efficient Sensors. - Kruttidipta Samal; Marilyn Wolf; Saibal Mukhopadhyay (AVSS, 2021)

Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. - Harshit Kumar; Nikhil Chawla; Saibal Mukhopadhyay (DAC, 2021)

Reliable Edge Intelligence in Unreliable Environment. - Minah Lee; Xueyuan She; Biswadeep Chakraborty; Saurabh Dash; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (DATE, 2021)

Closed-loop Approach to Perception in Autonomous System. - Kruttidipta Samal; Marilyn Wolf; Saibal Mukhopadhyay (DATE, 2021)

VDPred: Predicting Voltage Droop for Power-Effient 3D Multi-core Processor Design. - He Xiao; Monodeep Kar; Saibal Mukhopadhyay; Sudhakar Yalamanchili (ICCAE, 2021)

A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data. - Priyabrata Saha; Saibal Mukhopadhyay (IEEE Access, 2021)

A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor. - Nathan Eli Miller; Saibal Mukhopadhyay (CoRR, 2021)

Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2021)

$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2021)

Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. - Beomseok Kang; Anni Lu; Yun Long; Daehyun Kim 002; Shimeng Yu; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Securing IoT Devices Using Dynamic Power Management: Machine Learning Approach. - Nikhil Chawla; Arvind Singh; Harshit Kumar; Monodeep Kar; Saibal Mukhopadhyay (IEEE Internet Things J., 2021)

Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. - Priyabrata Saha; Saurabh Dash; Saibal Mukhopadhyay (Neural Networks, 2021)

ScieNet: Deep learning with spike-assisted contextual information extraction. - Xueyuan She; Yun Long; Daehyun Kim 002; Saibal Mukhopadhyay (Pattern Recognit., 2021)

Neural Identification for Control. - Priyabrata Saha; Magnus Egerstedt; Saibal Mukhopadhyay (IEEE Robotics Autom. Lett., 2021)

A Task-Driven Feedback Imager with Uncertainty Driven Hybrid Control. - Burhan Ahmad Mudassar; Priyabrata Saha; Marilyn Wolf; Saibal Mukhopadhyay (Sensors, 2021)

Machine Learning in Wavelet Domain for Electromagnetic Emission Based Malware Analysis. - Nikhil Chawla; Harshit Kumar; Saibal Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2021)

A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. - Biswadeep Chakraborty; Xueyuan She; Saibal Mukhopadhyay (IEEE Trans. Image Process., 2021)

MAHASIM: Machine-Learning Hardware Acceleration Using a Software-Defined Intelligent Memory System. - Bahar Asgari; Saibal Mukhopadhyay; Sudhakar Yalamanchili (J. Signal Process. Syst., 2021)

Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. - Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (ICLR, 2022)

Learning Point Processes using Recurrent Graph Network. - Saurabh Dash; Xueyuan She; Saibal Mukhopadhyay (IJCNN, 2022)

Unsupervised Hebbian Learning on Point Sets in StarCraft II. - Beomseok Kang; Harshit Kumar; Saurabh Dash; Saibal Mukhopadhyay (IJCNN, 2022)

Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. - Hemant Kumawat; Saibal Mukhopadhyay (IJCNN, 2022)

Lightweight Model Uncertainty Estimation for Deep Neural Object Detection. - Minah Lee; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (IJCNN, 2022)

A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors. - Kruttidipta Samal; Hemant Kumawat; Marilyn Wolf; Saibal Mukhopadhyay (IJCNN, 2022)

Analysis of the Effect of Hot Carrier Injection in An Integrated Inductive Voltage Regulator. - Shida Zhang; Nael Mizanur Rahman; Venkata Chaitanya Krishna Chekuri; Carlos Tokunaga; Saibal Mukhopadhyay (ISLPED, 2022)

μDARTS: Model Uncertainty-Aware Differentiable Architecture Search. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IEEE Access, 2022)

Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics. - Priyabrata Saha; Saibal Mukhopadhyay (CoRR, 2022)

RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems. - Burhan Ahmad Mudassar; Sho Ko; Maojingjing Li; Priyabrata Saha; Saibal Mukhopadhyay (CoRR, 2022)

XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Nikhil Chawla; Saibal Mukhopadhyay (CoRR, 2022)

An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators. - Payman Behnam; Uday Kamal; Saibal Mukhopadhyay (CoRR, 2022)

Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning. - Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2022)

Forecasting local behavior of multi-agent system and its application to forest fire model. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2022)

Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2022)

A ReRAM Memory Compiler for Monolithic 3D Integrated Circuits in a Carbon Nanotube Process. - Edward Lee; Daehyun Kim 004; Jinwoo Kim; Sung Kyu Lim; Saibal Mukhopadhyay (ACM J. Emerg. Technol. Comput. Syst., 2022)

Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation. - Saurabh Dash; Yandong Luo; Anni Lu; Shimeng Yu; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Low-Power Authentication IC for Visible-Light-Based Interrogation. - Edward Lee; Nael Mizanur Rahman; Venkata Chaitanya Krishna Chekuri; Arvind Singh; Saibal Mukhopadhyay (IEEE Trans. Ind. Electron., 2022)

Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System. - Kruttidipta Samal; Hemant Kumawat; Priyabrata Saha; Marilyn Wolf; Saibal Mukhopadhyay (IEEE Trans. Intell. Veh., 2022)

Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. - Biswadeep Chakraborty; Uday Kamal; Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (DATE, 2023)

AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction. - Sudarshan Sharma; Wei Chun Wang; Coleman DeLude; Minah Lee; Nael Mizanur Rahman; Narasimha Vasishta Kidambi; Justin Romberg; Saibal Mukhopadhyay (ESSCIRC, 2023)

Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. - Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2023)

Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. - Uday Kamal; Saurabh Dash; Saibal Mukhopadhyay (ICLR, 2023)

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. - Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2023)

Energy-Efficient Sensor Platform using Reliable Analog-to-Feature Extraction. - Minah Lee; Sudarshan Sharma; Wei Chun Wang; Saibal Mukhopadhyay (SENSORS, 2023)

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. - Sudarshan Sharma; Uday Kamal; Jianming Tong; Tushar Krishna; Saibal Mukhopadhyay (SENSORS, 2023)

Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IJCNN, 2023)

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. - Beomseok Kang; Saibal Mukhopadhyay (IJCNN, 2023)

CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. - Minah Lee; Anni Lu; Mandovi Mukherjee; Shimeng Yu; Saibal Mukhopadhyay (IJCNN, 2023)

A 32.5mW Mixed-Signal Processing-in-Memory-Based k-SAT Solver in 65nm CMOS with 74.0% Solvability for 3D-Variable 126-Clause 3-SAT Problems. - Daehyun Kim; Nael Mizanur Rahman; Saibal Mukhopadhyay (ISSCC, 2023)

Hessian-Based Parameter Quantization Method for BERT. - Woohong Byun; Saibal Mukhopadhyay (MWSCAS, 2023)

A Reconfigurable Quantum State Tomography Solver in FPGA. - Nathan Eli Miller; Biswadeep Chakraborty; Saibal Mukhopadhyay (QCE, 2023)

On-Chip Acceleration of RF Signal Modulation Classification With Short-Time Fourier Transform and Convolutional Neural Network. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (IEEE Access, 2023)

Roadmap for Unconventional Computing with Nanotechnology. - Giovanni Finocchio; Supriyo Bandyopadhyay; Peng Lin; Gang Pan 001; J. Joshua Yang; Riccardo Tomasello; Christos Panagopoulos; Mario Carpentieri; Vito Puliafito; Johan Åkerman; Hiroki Takesue; Amit Ranjan Trivedi; et al. (CoRR, 2023)

Learning Deep Neural Network Controller for Path Following of Unicycle Robots. - Priyabrata Saha; Luis Guerrero-Bonilla; Magnus Egerstedt; Saibal Mukhopadhyay (IEEE Robotics Autom. Lett., 2023)

XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Saibal Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2023)

Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs. - Priyabrata Saha; Saibal Mukhopadhyay (CDC, 2024)

RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. - Hemant Kumawat; Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRL, 2024)

A Hardware Accelerated Autoencoder for RF Communication Using Short-Time-Fourier- Transform Assisted Convolutional Neural Network. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (DATE, 2024)

Cognitive Sensing for Energy-Efficient Edge Intelligence. - Minah Lee; Sudarshan Sharma; Wei Chun Wang; Hemant Kumawat; Nael Mizanur Rahman; Saibal Mukhopadhyay (DATE, 2024)

Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives. - Nael Mizanur Rahman; Uday Kamal; Manish Nagaraj; Shaunak Roy; Saibal Mukhopadhyay (DATE, 2024)

Efficient Learning of Event-Based Dense Representation Using Hierarchical Memories with Adaptive Update. - Uday Kamal; Saibal Mukhopadhyay (ECCV (82), 2024)

A Pre-Silicon Physical Design Study Towards Mitigating EMSCA on Cryptographic ICs. - Mark Lee; Chris Clark; Saibal Mukhopadhyay (HOST, 2024)

Multi-Tier 3D SRAM Module Design: Targeting Bit-Line and Word-Line Folding. - Aditya Sridharan Iyer; Daehyun Kim 002; Saibal Mukhopadhyay; Sung Kyu Lim (ICCAD, 2024)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. - Biswadeep Chakraborty; Beomseok Kang; Harshit Kumar; Saibal Mukhopadhyay (ICLR, 2024)

Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IJCNN, 2024)

Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (IJCNN, 2024)

Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators. - Payman Behnam; Uday Kamal; Ali Shafiee; Alexey Tumanov; Saibal Mukhopadhyay (IPDPS, 2024)

Measurement of Aging Effect on an Analog Computing-In-Memory Macro in 28nm CMOS. - Wei Chun Wang; Shida Zhang; Sudarshan Sharma; Minah Lee; Saibal Mukhopadhyay (IRPS, 2024)

Measurement of Aging Effect in a Digitally Controlled Inductive Voltage Regulator in 65nm. - Shida Zhang; Nael Mizanur Rahman; Wei Chun Wang; Narasimha Vasishta Kidambi; Carlos Tokunaga; Saibal Mukhopadhyay (IRPS, 2024)

Enhancing IoT Security with a Hardware Accelerated Machine Learning Model coupling Autoencoder and Long-Short-Term-Memory for Anomaly Detection. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (ISCAS, 2024)

Passive Lightweight On-chip Sensors for Power Side Channel Attack Detection. - Nael Mizanur Rahman; Uday Kamal; Venkata Chaitanya Krishna Chekuri; Arvind Singh; Saibal Mukhopadhyay (ISCAS, 2024)

Efficient Hardware Design of DNN for RF Signal Modulation Recognition. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (ISCAS, 2024)

Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (ISLPED, 2024)

Cryogenic Operation of Computing-In-Memory based Spiking Neural Network. - Laith A. Shamieh; Wei-Chun Wang; Shida Zhang; Rakshith Saligram; Amol D. Gaidhane; Yu Cao 001; Arijit Raychowdhury; Suman Datta; Saibal Mukhopadhyay (ISLPED, 2024)

Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. - Beomseok Kang; Harshit Kumar; Minah Lee; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents. - Hemant Kumawat; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

Hessian-Aware KV Cache Quantization for LLMs. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (MWSCAS, 2024)

A Hybrid Approach to Defend Against Adversarial Evasion Attacks. - Kuchul Jung; Jongseok Woo; Saibal Mukhopadhyay (MWSCAS, 2024)

Online Relational Inference for Evolving Multi-agent Interacting Systems. - Beomseok Kang; Priyabrata Saha; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (NeurIPS, 2024)

BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding. - Nael Mizanur Rahman; Sudarshan Sharma; Coleman DeLude; Wei Chun Wang; Justin Romberg; Saibal Mukhopadhyay (RWS, 2024)

Modulation Recognition with Untrained Deep Neural Network for IoT and Mobile Applications. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (RWS, 2024)

Efficient Hardware Design of DNN for RF Signal Modulation Recognition Employing Ternary Weights. - Jongseok Woo; Kuchul Jung; Saibal Mukhopadhyay (IEEE Access, 2024)

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. - Harshit Kumar; Biswadeep Chakraborty; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2024)

Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. - Harshit Kumar; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2024)

Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2024)

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks. - Biswadeep Chakraborty; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2024)

PRESTO: A Processing-in-Memory-Based k-SAT Solver Using Recurrent Stochastic Neural Network With Unsupervised Learning. - Daehyun Kim 002; Nael Mizanur Rahman; Saibal Mukhopadhyay (IEEE J. Solid State Circuits, 2024)

A Compute-in-Memory Ascon Implementation Based on a Novel 11T SRAM Processing Macro. - Mark Lee; Chris Clark; Saibal Mukhopadhyay (COOL CHIPS, 2025)

Low-Latency Digital Feedback for Stochastic Quantum Calibration Using Cryogenic CMOS. - Nathan Eli Miller; Laith A. Shamieh; Saibal Mukhopadhyay (DATE, 2025)

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. - Amit Ranjan Trivedi; Sina Tayebati; Hemant Kumawat; Nastaran Darabi; Divake Kumar; Adarsh Kumar Kosta; Yeshwanth Venkatesha; Dinithi Jayasuriya; Nethmi Jayasinghe; Priyadarshini Panda; Saibal Mukhopadhyay; Kaushik Roy 001 (DATE, 2025)

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. - Harshit Kumar; Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2025)

AdaCred: Adaptive Causal Decision Transformers with Feature Crediting. - Hemant Kumawat; Saibal Mukhopadhyay (AAMAS, 2025)

Analog In-Memory-Compute with Multi-bit Silicon Ferro FinFET Array for Improved Energy and Area Efficiency. - Eknath Sarkar; Dyutimoy Chakraborty; Wei-Chun Wang; Khandker Akif Aabrar; Sharadindu Gopal Kirtania; Omkar Phadke; Chengyang Zhang; Emmanuel Quezada; Jaewon Shin; Shida Zhang; Asif Islam Khan; Shimeng Yu; et al. (IMW, 2025)

A Comparative Analysis of Aging Effects on Computing-in-Memory Systems in 28nm CMOS. - Shida Zhang; Wei-Chun Wang; Carlos Tokunaga; Saibal Mukhopadhyay (IRPS, 2025)

Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision. - Minah Lee; Uday Kamal; Saibal Mukhopadhyay (L4DC, 2025)

Fully Digital Ultra-low-bit Linear Embedding Beamforming System with Quantization Compensation. - Xiangyu Mao; Coleman DeLude; Wei-Chun Wang; Justin Romberg; Saibal Mukhopadhyay (RWS, 2025)

FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models. - Woohong Byun; Jongseok Woo; Saibal Mukhopadhyay (IEEE Access, 2025)

Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. - Biswadeep Chakraborty; Hemant Kumawat; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2025)

FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2025)

Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences. - Mellon M. Zhang; Glen Chou; Saibal Mukhopadhyay (CoRR, 2025)

Adaptive-Cloud: Dynamic Computation Control for 3D Object Detection From LIDAR Point Clouds. - Mir Sayeed Mohammad; Uday Kamal; Saibal Mukhopadhyay (IEEE Robotics Autom. Lett., 2025)