2003 · Proceedings of the IEEE
Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits
2,365 citationsRead
Most cited
1,299 papers in total2019 · Nature
Towards spike-based machine intelligence with neuromorphic computing
2,188 citationsRead
2019 · Frontiers in Neuroscience
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
1,211 citationsRead
2008 · Nature
Medium-scale carbon nanotube thin-film integrated circuits on flexible plastic substrates
1,136 citationsRead
2012 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Low-Power Digital Signal Processing Using Approximate Adders
845 citationsRead
2000 · International Symposium on Low Power Electronics and Design (ISLPED)
Gated-Vdd
664 citationsRead
Newest first
1,299 papers in total2024
- Brain-Inspired Computing: A Systematic Survey and Future TrendsProceedings of the IEEE · 94 citations
- Roadmap for unconventional computing with nanotechnologyNano Futures · 92 citations
2023
- X-Former: In-Memory Acceleration of TransformersIEEE Transactions on Very Large Scale Integration (VLSI) Systems · 68 citations
- Continual Learning: A Review of Techniques, Challenges, and Future DirectionsIEEE Transactions on Artificial Intelligence · 68 citations
2022
- Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to HardwareACM Computing Surveys · 266 citations
- Compute in‐Memory with Non‐Volatile Elements for Neural Networks: A Review from a Co‐Design PerspectiveAdvanced Materials · 137 citations
2021
- Roadmap of Spin–Orbit TorquesDSpace@MIT (Massachusetts Institute of Technology) · 426 citations
- DIET-SNN: A Low-Latency Spiking Neural Network With D irect I nput E ncoding and Leakage and T hreshold OptimizationIEEE Transactions on Neural Networks and Learning Systems · 264 citations
- Towards understanding the effect of leak in Spiking Neural NetworksNeurocomputing · 67 citations
2020
- Enabling Spike-Based Backpropagation for Training Deep Neural Network ArchitecturesFrontiers in Neuroscience · 434 citations
- RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural NetworkIEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 330 citations
- Roadmap on emerging hardware and technology for machine learningNanotechnology · 190 citations
- Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural NetworksLecture notes in computer science · 183 citations
- Pathways to efficient neuromorphic computing with non-volatile memory technologiesApplied Physics Reviews · 168 citations
- Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and ChallengesProceedings of the IEEE · 140 citations
- Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and HybridizationFrontiers in Neuroscience · 138 citations
- RxNN: A Framework for Evaluating Deep Neural Networks on Resistive CrossbarsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 137 citations
- Deep Spiking Neural Network: Energy Efficiency Through Time Based CodingLecture notes in computer science · 132 citations
- IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM ArrayIEEE Transactions on Circuits and Systems I Regular Papers · 131 citations
- GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural NetworksProceedings - ACM IEEE Design Automation Conference · 109 citations
- PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAMIEEE Transactions on Computers · 88 citations
- DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural NetworksarXiv (Cornell University) · 87 citations
- Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear ActivationsLecture notes in computer science · 86 citations
- In-Memory Computing in Emerging Memory Technologies for Machine Learning: An OverviewProceedings - ACM IEEE Design Automation Conference · 85 citations
- Perovskite neural treesNature Communications · 68 citations
2019
- PUMAInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 421 citations
- Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learningNeural Networks · 254 citations
- 8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann ComputingIEEE Transactions on Very Large Scale Integration (VLSI) Systems · 191 citations
- Incremental Learning in Deep Convolutional Neural Networks Using Partial Network SharingIEEE Access · 120 citations
- Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute ArraysIEEE Transactions on Circuits and Systems I Regular Papers · 118 citations
Research in numbers
From OpenAlex- article124
- conference paper67
- conference abstract4
- book2
- preprint2
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems22
- Proceedings - ACM IEEE Design Automation Conference19
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems13
- IEEE Journal of Solid-State Circuits10
- IEEE Transactions on Electron Devices10
- Anand Raghunathan30
- Abhronil Sengupta18
- Priyadarshini Panda16
- Saibal Mukhopadhyay14
- Hamid Mahmoodi14
Experience and education
Universities
2021 to 2025University of South Carolina
2016 to 2024Indian Institute of Technology Kharagpur
2011Georgia Institute of Technology
2005University of Minnesota
2001 to 2005Purdue University Northwest
Industry and labs
2023Commonwealth Scientific and Industrial Research Organisation
2019Association for Computing Machinery
2018Boeing (United States)
2005 to 2009Intel (United States)
2008IBM (United States)