| 2026 | ISLPED | A Top-Down Design Methodology for Accuracy-to-Noise Mapping in Analog Compute-in-Memory Systems: Evaluation on Mamba. | Isha Chakraborty, Laith A. Shamieh, Wei-Chun Wang, Han Cho, Saibal Mukhopadhyay |
| 2026 | ISLPED | BB-CIM: A Back-Bias Tuned Analog Compute In-Memory in 22nm FD-SOI for Improved Power-efficiency. | Saideep Cherukuri, Apurba Prasad Padhy, Narasimha Vasishta Kidambi, Saibal Mukhopadhyay |
| 2026 | WACV | Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control. | Uday Kamal, Saibal Mukhopadhyay |
| 2026 | WACV | SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection. | Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay |
| 2026 | WACV | Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences. | Mellon M. Zhang, Glen Chou, Saibal Mukhopadhyay |
| 2025 | DATE | Low-Latency Digital Feedback for Stochastic Quantum Calibration Using Cryogenic CMOS. | Nathan Eli Miller, Laith A. Shamieh, Saibal Mukhopadhyay |
| 2025 | DATE | 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 |
| 2025 | ICLR | Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. | Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2025 | ICML | A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks. | Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay |
| 2025 | IJCNN | Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks. | Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay |
| 2025 | ISLPED | Tutorial: Autonomy with Neuromorphic System. | Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay |
| 2024 | CoRL | RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. | Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2024 | DATE | A Hardware Accelerated Autoencoder for RF Communication Using Short-Time-Fourier- Transform Assisted Convolutional Neural Network. | Kuchul Jung, Jongseok Woo, Saibal Mukhopadhyay |
| 2024 | DATE | Cognitive Sensing for Energy-Efficient Edge Intelligence. | Minah Lee, Sudarshan Sharma, Wei Chun Wang, Hemant Kumawat, Nael Mizanur Rahman, Saibal Mukhopadhyay |
| 2024 | DATE | Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives. | Nael Mizanur Rahman, Uday Kamal, Manish Nagaraj, Shaunak Roy, Saibal Mukhopadhyay |
| 2024 | ECCV | Efficient Learning of Event-Based Dense Representation Using Hierarchical Memories with Adaptive Update. | Uday Kamal, Saibal Mukhopadhyay |
| 2024 | ICCAD | Multi-Tier 3D SRAM Module Design: Targeting Bit-Line and Word-Line Folding. | Aditya Sridharan Iyer, Daehyun Kim, Saibal Mukhopadhyay, Sung Kyu Lim |
| 2024 | ICLR | Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. | Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay |
| 2024 | IJCNN | Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. | Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2024 | IJCNN | Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. | Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay |
| 2024 | ISCAS | 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 |
| 2024 | ISCAS | Passive Lightweight On-chip Sensors for Power Side Channel Attack Detection. | Nael Mizanur Rahman, Uday Kamal, Venkata Chaitanya Krishna Chekuri, Arvind Singh, Saibal Mukhopadhyay |
| 2024 | ISCAS | Efficient Hardware Design of DNN for RF Signal Modulation Recognition. | Jongseok Woo, Kuchul Jung, Saibal Mukhopadhyay |
| 2024 | ISLPED | Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. | Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay |
| 2024 | ISLPED | 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, Arijit Raychowdhury, Suman Datta, Saibal Mukhopadhyay |
| 2023 | DATE | Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. | Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay |
| 2023 | ICLR | Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. | Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2023 | ICLR | Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception. | Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay |
| 2023 | ICLR | Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. | Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2023 | IJCNN | Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. | Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2023 | IJCNN | Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. | Beomseok Kang, Saibal Mukhopadhyay |
| 2023 | IJCNN | CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. | Minah Lee, Anni Lu, Mandovi Mukherjee, Shimeng Yu, Saibal Mukhopadhyay |
| 2023 | QCE | A Reconfigurable Quantum State Tomography Solver in FPGA. | Nathan Eli Miller, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2022 | ICLR | Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. | Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay |
| 2022 | IJCNN | Learning Point Processes using Recurrent Graph Network. | Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay |
| 2022 | IJCNN | Unsupervised Hebbian Learning on Point Sets in StarCraft II. | Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay |
| 2022 | IJCNN | Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. | Hemant Kumawat, Saibal Mukhopadhyay |
| 2022 | IJCNN | Lightweight Model Uncertainty Estimation for Deep Neural Object Detection. | Minah Lee, Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2022 | IJCNN | A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors. | Kruttidipta Samal, Hemant Kumawat, Marilyn Wolf, Saibal Mukhopadhyay |
| 2022 | ISLPED | 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 |
| 2021 | AVSS | Introspective Closed-Loop Perception for Energy-efficient Sensors. | Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay |
| 2021 | DAC | Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation. | Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay |
| 2021 | DATE | Reliable Edge Intelligence in Unreliable Environment. | Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2021 | DATE | Closed-loop Approach to Perception in Autonomous System. | Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay |
| 2020 | DAC | 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 |
| 2020 | DAC | Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. | Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay |
| 2020 | ICCAD | Hessian-Driven Unequal Protection of DNN Parameters for Robust Inference. | Saurabh Dash, Saibal Mukhopadhyay |
| 2020 | ICCAD | RTL-to-GDS Design Tools for Monolithic 3D ICs. | Jinwoo Kim, Gauthaman Murali, Pruek Vanna-Iampikul, Edward Lee, Daehyun Kim, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty, Saibal Mukhopadhyay, Sung Kyu Lim |
| 2020 | ICCD | 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 |
| 2020 | IJCNN | Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. | Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay |
| 2020 | IJCNN | Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars. | Kruttidipta Samal, Marilyn Wolf, Saibal Mukhopadhyay |
| 2020 | IJCNN | SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. | Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay |
| 2020 | ICRA | MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network. | Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, Saibal Mukhopadhyay |
| 2020 | ISLPED | BiasP: a DVFS based exploit to undermine resource allocation fairness in linux platforms. | Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay |
| 2019 | BMVC | A Spatiotemporal Pre-processing Network for Activity Recognition under Rain. | Minah Lee, Burhan Ahmad Mudassar, Taesik Na, Saibal Mukhopadhyay |
| 2019 | BMVC | Rethinking Convolutional Feature Extraction for Small Object Detection. | Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2019 | DAC | Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. | Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim |
| 2019 | DAC | 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, Arjun Chaudhuri, Sanmitra Banerjee, Saibal Mukhopadhyay, Krishnendu Chakrabarty, Sung Kyu Lim |
| 2019 | DATE | Design of Reliable DNN Accelerator with Un-reliable ReRAM. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2019 | DATE | 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 |
| 2019 | DATE | Fast and Low-Precision Learning in GPU-Accelerated Spiking Neural Network. | Xueyuan She, Yun Long, Saibal Mukhopadhyay |
| 2019 | DATE | Mitigating Power Supply Glitch based Fault Attacks with Fast All-Digital Clock Modulation Circuit. | Arvind Singh, Monodeep Kar, Nikhil Chawla, Saibal Mukhopadhyay |
| 2019 | ICCAD | 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 |
| 2019 | IJCNN | Application Inference using Machine Learning based Side Channel Analysis. | Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay |
| 2019 | IJCNN | FocalNet - Foveal Attention for Post-processing DNN Outputs. | Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2019 | IJCNN | 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 |
| 2019 | IJCNN | Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. | Xueyuan She, Yun Long, Saibal Mukhopadhyay |
| 2019 | ISLPED | Automatic GDSII Generator for On-Chip Voltage Regulator for Easy Integration in Digital SoCs. | Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Saibal Mukhopadhyay |
| 2018 | AVSS | 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 |
| 2018 | AVSS | Adaptive Control of Camera Modality with Deep Neural Network-Based Feedback for Efficient Object Tracking. | Priyabrata Saha, Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2018 | CoRL | HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2018 | DAC | Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. | Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2018 | DATE | 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 |
| 2018 | DATE | Accelerating biophysical neural network simulation with region of interest based approximation. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2018 | DATE | 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 |
| 2018 | DATE | Exploiting on-chip power management for side-channel security. | Arvind Singh, Monodeep Kar, Sanu Mathew, Anand Rajan, Vivek De, Saibal Mukhopadhyay |
| 2018 | ICASSP | An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. | Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2018 | ICCAD | 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 |
| 2018 | ICLR | Cascade Adversarial Machine Learning Regularized with a Unified Embedding. | Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2017 | DAC | 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 |
| 2017 | DATE | Adaptive weight compression for memory-efficient neural networks. | Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay |
| 2017 | DATE | Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. | Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2017 | IJCNN | On-chip training of recurrent neural networks with limited numerical precision. | Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay |
| 2017 | ISCA | A Programmable Hardware Accelerator for Simulating Dynamical Systems. | Jaeha Kung, Yun Long, Duckhwan Kim, Saibal Mukhopadhyay |
| 2017 | ISLPED | 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 |
| 2016 | ASPDAC | (Invited paper) energy delivery for self-powered IoT devices. | Khondker Zakir Ahmed, Monodeep Kar, Saibal Mukhopadhyay |
| 2016 | AVSS | 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 |
| 2016 | DATE | Behavioral modeling of timing slack variation in digital circuits due to power supply noise. | Taesik Na, Saibal Mukhopadhyay |
| 2016 | HPCA | Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. | William J. Song, Saibal Mukhopadhyay, Sudhakar Yalamanchili |
| 2016 | ICCD | A single-inductor-cascaded-stage topology for high conversion ratio boost regulator. | Khondker Zakir Ahmed, Saibal Mukhopadhyay |
| 2016 | ICCD | What does ultra low power requirements mean for side-channel secure cryptography? | Monodeep Kar, Arvind Singh, Anand Rajan, Vivek De, Saibal Mukhopadhyay |
| 2016 | IJCNN | ReRAM Crossbar based Recurrent Neural Network for human activity detection. | Yun Long, Eui Min Jung, Jaeha Kung, Saibal Mukhopadhyay |
| 2016 | ISCA | Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory. | Duckhwan Kim, Jaeha Kung, Sek M. Chai, Sudhakar Yalamanchili, Saibal Mukhopadhyay |
| 2016 | ISLPED | 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 |
| 2016 | ISLPED | An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. | Jong Hwan Ko, Saibal Mukhopadhyay |
| 2016 | ISLPED | Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware. | Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay |
| 2016 | ISLPED | Speeding up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator. | Taesik Na, Saibal Mukhopadhyay |
| 2015 | ICCAD | Optimization of FinFET-based circuits using a dual gate pitch technique. | Sravan K. Marella, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Sachin S. Sapatnekar |
| 2015 | ISLPED | A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses. | Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay |
| 2015 | ISLPED | Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. | Arvind Singh, Monodeep Kar, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2015 | ISLPED | Experimental characterization of in-package microfluidic cooling on a System-on-Chip. | Wen Yueh, Zhimin Wan, Yogendra Joshi, Saibal Mukhopadhyay |
| 2014 | CASES | Information theoretic models for signatures in VLSI power delivery systems. | Marilyn Wolf, Saibal Mukhopadhyay |
| 2014 | DAC | On the Design of Reliable 3D-ICs Considering Charged Device Model ESD Events During Die Stacking. | Duckhwan Kim, Saibal Mukhopadhyay |
| 2014 | DATE | Ultra-low power electronics with Si/Ge tunnel FET. | Amit Ranjan Trivedi, Mohammad Faisal Amir, Saibal Mukhopadhyay |
| 2014 | ISLPED | An on-chip autonomous thermoelectric energy management system for energy-efficient active cooling. | Borislav Alexandrov, Khondker Zakir Ahmed, Saibal Mukhopadhyay |
| 2014 | ISLPED | 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 |
| 2014 | ISPASS | Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. | William J. Song, Saibal Mukhopadhyay, Sudhakar Yalamanchili |
| 2013 | DAC | On the potential of 3D integration of inductive DC-DC converter for high-performance power delivery. | Sergio Carlo, Wen Yueh, Saibal Mukhopadhyay |
| 2013 | DAC | Exploring tunnel-FET for ultra low power analog applications: a case study on operational transconductance amplifier. | Amit Ranjan Trivedi, Sergio Carlo, Saibal Mukhopadhyay |
| 2013 | DAC | 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, Saibal Mukhopadhyay, Debdeep Mukhopadhyay, Swarup Bhunia |
| 2013 | DATE | Perceptual quality preserving SRAM architecture for color motion pictures. | Wen Yueh, Minki Cho, Saibal Mukhopadhyay |
| 2013 | FIE | Physics of computing as an introduction to computer engineering. | Marilyn Wolf, Saibal Mukhopadhyay |
| 2013 | IOLTS | Error resilient logic circuits under dynamic variations. | Kwanyeob Chae, Saibal Mukhopadhyay |
| 2012 | ASPDAC | 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 |
| 2012 | ASPDAC | Tier-adaptive-voltage-scaling (TAVS): A methodology for post-silicon tuning of 3D ICs. | Kwanyeob Chae, Saibal Mukhopadhyay |
| 2012 | VTS | Self-adaptive power gating with test circuit for on-line characterization of energy inflection activity. | Amit Ranjan Trivedi, Saibal Mukhopadhyay |
| 2012 | VTS | 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 |
| 2011 | ISLPED | Variation-aware clock network design methodology for ultra-low voltage (ULV) circuits. | Xin Zhao, Jeremy R. Tolbert, Chang Liu, Saibal Mukhopadhyay, Sung Kyu Lim |
| 2010 | ICCAD | Design method and test structure to characterize and repair TSV defect induced signal degradation in 3D system. | Minki Cho, Chang Liu, Dae Hyun Kim, Sung Kyu Lim, Saibal Mukhopadhyay |
| 2010 | ISLPED | Analysis of thermal behaviors of spin-torque-transfer RAM: a simulation study. | Subho Chatterjee, Sayeef S. Salahuddin, Satish Kumar, Saibal Mukhopadhyay |
| 2010 | ISLPED | An energy efficient cache design using spin torque transfer (STT) RAM. | Mitchelle Rasquinha, Dhruv Choudhary, Subho Chatterjee, Saibal Mukhopadhyay, Sudhakar Yalamanchili |
| 2010 | ITC | Optimization of burn-in test for many-core processors through adaptive spatiotemporal power migration. | Minki Cho, Nikhil Sathe, Arijit Raychowdhury, Saibal Mukhopadhyay |
| 2009 | ASPDAC | Accuracy-aware SRAM: a reconfigurable low power SRAM architecture for mobile multimedia applications. | Minki Cho, Jason Schlessman, Wayne H. Wolf, Saibal Mukhopadhyay |
| 2009 | ICCAD | 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 |
| 2009 | ICCAD | A methodology for robust, energy efficient design of Spin-Torque-Transfer RAM arrays at scaled technologies. | Subho Chatterjee, Mitchelle Rasquinha, Sudhakar Yalamanchili, Saibal Mukhopadhyay |
| 2009 | ICCAD | A circuit-software co-design approach for improving EDP in reconfigurable frameworks. | Somnath Paul, Subho Chatterjee, Saibal Mukhopadhyay, Swarup Bhunia |
| 2009 | ICCAD | A variation-aware preferential design approach for memory based reconfigurable computing. | Somnath Paul, Saibal Mukhopadhyay, Swarup Bhunia |
| 2009 | ICCD | On improving the algorithmic robustness of a low-power FIR filter. | Sourabh Khire, Saibal Mukhopadhyay |
| 2009 | ISLPED | Experimental analysis of sequence dependence on energy saving for error tolerant image processing. | Se Hun Kim, Saibal Mukhopadhyay, Wayne H. Wolf |
| 2009 | ISLPED | Slew-aware clock tree design for reliable subthreshold circuits. | Jeremy R. Tolbert, Xin Zhao, Sung Kyu Lim, Saibal Mukhopadhyay |
| 2008 | ICCAD | Hybrid CMOS-STTRAM non-volatile FPGA: design challenges and optimization approaches. | Somnath Paul, Saibal Mukhopadhyay, Swarup Bhunia |
| 2008 | ICCD | 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 |
| 2008 | ISCAS | 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 |
| 2008 | VLSID | 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 |
| 2008 | VTS | 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 |
| 2007 | DDECS | Memories in Scaled Technologies: A Review of Process Induced Failures, Test Methodologies, and Fault Tolerance. | Saibal Mukhopadhyay, Qikai Chen, Kaushik Roy |
| 2007 | ISLPED | 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 |
| 2007 | VLSID | Process Variations and Process-Tolerant Design. | Swarup Bhunia, Saibal Mukhopadhyay, Kaushik Roy |
| 2006 | ASPDAC | Speed binning aware design methodology to improve profit under parameter variations. | Animesh Datta, Swarup Bhunia, Jung Hwan Choi, Saibal Mukhopadhyay, Kaushik Roy |
| 2006 | DAC | Self-calibration technique for reduction of hold failures in low-power nano-scaled SRAM. | Swaroop Ghosh, Saibal Mukhopadhyay, Keejong Kim, Kaushik Roy |
| 2006 | DATE | Circuit-aware device design methodology for nanometer technologies: a case study for low power SRAM design. | Qikai Chen, Saibal Mukhopadhyay, Aditya Bansal, Kaushik Roy |
| 2006 | VLSID | Double-Gate SOI Devices for Low-Power and High-Performance Applications. | Kaushik Roy, Hamid Mahmoodi-Meimand, Saibal Mukhopadhyay, Hari Ananthan, Aditya Bansal, Tamer Cakici |
| 2005 | DATE | 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 |
| 2005 | DATE | Modeling and Analysis of Loading Effect in Leakage of Nano-Scaled Bulk-CMOS Logic Circuits. | Saibal Mukhopadhyay, Swarup Bhunia, Kaushik Roy |
| 2005 | ICCAD | Double-gate SOI devices for low-power and high-performance applications. | Kaushik Roy, Hamid Mahmoodi-Meimand, Saibal Mukhopadhyay, Hari Ananthan, Aditya Bansal, Tamer Cakici |
| 2005 | ICCD | A Feasibility Study of Subthreshold SRAM Across Technology Generations. | Arijit Raychowdhury, Saibal Mukhopadhyay, Kaushik Roy |
| 2005 | IOLTS | Process Variation Tolerant Online Current Monitor for Robust Systems. | Qikai Chen, Saibal Mukhopadhyay, Hamid Mahmoodi, Kaushik Roy |
| 2005 | IOLTS | Yield Prediction of High Performance Pipelined Circuit with Respect to Delay Failures in Sub-100nm Technology. | Animesh Datta, Saibal Mukhopadhyay, Swarup Bhunia, Kaushik Roy |
| 2005 | ISLPED | Modeling and analysis of total leakage currents in nanoscale double gate devices and circuits. | Saibal Mukhopadhyay, Keunwoo Kim, Ching-Te Chuang, Kaushik Roy |
| 2005 | ITC | Reliable and self-repairing SRAM in nano-scale technologies using leakage and delay monitoring. | Saibal Mukhopadhyay, Kunhyuk Kang, Hamid Mahmoodi, Kaushik Roy |
| 2004 | DAC | Leakage in nano-scale technologies: mechanisms, impact and design considerations. | Amit Agarwal, Chris H. Kim, Saibal Mukhopadhyay, Kaushik Roy |
| 2004 | ICCAD | Statistical design and optimization of SRAM cell for yield enhancement. | Saibal Mukhopadhyay, Hamid Mahmoodi-Meimand, Kaushik Roy |
| 2004 | ICCD | A Novel Low-Power Scan Design Technique Using Supply Gating. | Swarup Bhunia, Hamid Mahmoodi-Meimand, Saibal Mukhopadhyay, Debjyoti Ghosh, Kaushik Roy |
| 2004 | VLSID | Modeling and Estimation of Leakage in Sub-90nm Devices. | Arijit Raychowdhury, Saibal Mukhopadhyay, Kaushik Roy |
| 2003 | DAC | Accurate estimation of total leakage current in scaled CMOS logic circuits based on compact current modeling. | Saibal Mukhopadhyay, Arijit Raychowdhury, Kaushik Roy |
| 2003 | ICCAD | Modeling of Ballistic Carbon Nanotube Field Effect Transistors for Efficient Circuit Simulation. | Arijit Raychowdhury, Saibal Mukhopadhyay, Kaushik Roy |
| 2003 | ISLPED | A forward body-biased low-leakage SRAM cache: device and architecture considerations. | Chris H. Kim, Jae-Joon Kim, Saibal Mukhopadhyay, Kaushik Roy |
| 2003 | ISLPED | Modeling and estimation of total leakage current in nano-scaled CMOS devices considering the effect of parameter variation. | Saibal Mukhopadhyay, Kaushik Roy |