Publications

2025

M. Abdullah-Al Kaiser, G. Datta, J. Athas, C. Duffee, A. P. Jacob, P. K. Amiri, and colleagues published “Voltage Controlled Magnetic Tunnel Junction Based ADC-less Processing-in-Pixel for Extreme-Edge Intelligence” in NPJ Unconventional Computing, volume 2, article 14, in 2025.

M. Abdullah-Al Kaiser, S. Sunder, A. P. Jacob, and A. R. Jaiswal released a preprint titled “A Mixed-Signal Photonic SRAM-based High-Speed Energy-Efficient Photonic Tensor Core with Novel Electro-Optic ADC” on arXiv (arXiv:2506.22705) in 2025.

The same group also released “X-pSRAM: A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing” on arXiv (arXiv:2506.22707) in 2025.

J. Sinaga, S. Snyder, M. Abdullah-Al Kaiser, D. Jinoy, G. Schwartz, M. Parsa, and collaborators presented “Reconfigurable Retina-Inspired Looming Detection” at the 2025 IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM).

S. Chakraborty, S. Snyder, M. Abdullah-Al Kaiser, M. Parsa, G. Schwartz, and A. R. Jaiswal published a preprint titled “A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence” on arXiv (arXiv:2504.01275) in 2025.

M. Abdullah-Al Kaiser, S. Sunder, C. Mathew, M. Rakowski, A. P. Jacob, and A. R. Jaiswal published a preprint titled “Design of Energy-Efficient Cross-Coupled Differential Photonic-SRAM (pSRAM) Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems” on arXiv (arXiv:2503.19544) in 2025.

Z. Yin, S. Chakraborty, A. Singh, C. Zhou, G. Datta, and A. Jaiswal released a preprint titled “A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications” on arXiv (arXiv:2503.16798) in 2025.

S. Sunder, M. Abdullah-Al Kaiser, S. Wijeratne, C. J. Mathew, V. Prasanna, and colleagues presented “Scalable In-Memory Compute Optical Processor” at Smart Photonic and Optoelectronic Integrated Circuits 2025, volume 13370, pages 107–113.

M. R. I. Udoy, S. Alam, M. M. Islam, A. Jaiswal, and A. Aziz published “A Review of Digital Pixel Sensors” in IEEE Access in 2025.

2024

M. Abdullah-Al Kaiser, G. Datta, J. Athas, C. Duffee, A. P. Jacob, and collaborators released a preprint titled “Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence” on arXiv (arXiv:2410.10592) in 2024.

S. Wijeratne, S. Sunder, M. Abdullah-Al Kaiser, A. Jaiswal, C. Mathew, and colleagues presented “Predictive performance of photonic SRAM-based in-memory computing for tensor decomposition” at the 2024 IEEE High Performance Extreme Computing Conference (HPEC).

M. Abdullah-Al Kaiser, S. Sarkar, P. A. Beerel, A. R. Jaiswal, and G. Datta released a preprint titled “Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors” on arXiv (arXiv:2409.17341) in 2024.

V. Clerico, S. Snyder, A. Lohia, M. A. A. Kaiser, G. Schwartz, A. Jaiswal, and others released a preprint titled “Retina-inspired Object Motion Segmentation” on arXiv (arXiv:2408.09454) in 2024.

Z. Yin and A. Jaiswal published a preprint titled “FPCA: Field-Programmable Pixel Convolutional Array for Extreme-Edge Intelligence” on arXiv (arXiv:2408.10233) in 2024.

J. Sinaga, V. Clerico, M. A. A. I. Kaiser, S. Snyder, A. Lohia, G. Schwartz, M. Parsa, and collaborators presented “Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation” at the 2024 International Conference on Neuromorphic Systems (ICONS), pages 256–263.

M. R. I. Udoy, M. M. Islam, A. Jaiswal, and A. Aziz presented “Sub-Micron Binary HyperPixel Sensor Circuit: In-Pixel Binarization with Variable Thresholding” at the 2024 IEEE Symposium on VLSI (ISVLSI), pages 21–26.

M. A. A. Kaiser, G. Datta, P. A. Beerel, and A. R. Jaiswal presented “Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ” at the 61st ACM/IEEE Design Automation Conference (DAC), pages 1–6 in 2024.

Z. Yin, A. Datta, S. Vijayakumar, A. Jacob, and A. Jaiswal presented “A 9 Transistor SRAM Featuring Array-level XOR Parallelism with Secure Data Toggling Operation” at the 2024 Great Lakes Symposium on VLSI, pages 277–281.

M. Abdullah-Al Kaiser and A. R. Jaiswal presented “Hardware-Algorithm Co-Design Enabling Processing-In-Pixel-In-Memory (P2M) for Neuromorphic Vision Sensors” at ICASSP 2024 – the IEEE International Conference on Acoustics, Speech and Signal Processing.

S. Kundu, R. J. Zhu, A. Jaiswal, and P. A. Beerel presented “Recent advances in scalable energy-efficient and trustworthy spiking neural networks: from algorithms to technology” at ICASSP 2024.

M. A. A. Kaiser, G. Datta, P. A. Beerel, and A. R. Jaiswal also released a preprint titled “Toward high performance, programmable extreme-edge intelligence for neuromorphic vision sensors utilizing magnetic domain wall motion-based MTJ” on arXiv (arXiv:2402.15121) in 2024.

V. Clerico, S. Snyder, A. Lohia, M. A. A. Kaiser, G. Schwartz, and A. Jaiswal released a preprint titled “Retina-inspired object motion segmentation for event-cameras” on arXiv (arXiv:2408.09454) in 2024.

2023

Z. Yin, G. Datta, M. Abdullah-Al Kaiser, P. Beerel, A. Jacob, and A. Jaiswal presented work on “Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence” at the 2023 IEEE International Conference on Rebooting Computing (ICRC).

M. Abdullah-Al Kaiser and A. R. Jaiswal authored a preprint titled “Hardware-Algorithm Co-design Enabling Processing-in-Pixel-in-Memory (P2M) for Neuromorphic Vision Sensors,” available on arXiv in 2023.

Z. Yin, M. Abdullah-Al Kaiser, L. O. Camara, M. Camarena, M. Parsa, A. Jacob, and collaborators published “IRIS: Integrated retinal functionality in image sensors” in Frontiers in Neuroscience, volume 17, article 1241691, in 2023.

M. M. Islam, J. Hutchins, S. Alam, M. S. Hossain, A. Jaiswal, and A. Aziz presented “Quantum anomalous hall effect-based variation robust binary content addressable memory” at the 2023 IEEE Midwest Symposium on Circuits and Systems.

An open-access volume titled Physical Neuromorphic Computing and Its Industrial Applications was edited by B. Offrein, M. W. Hopkins, L. S. Smith, M. Abdullah-Al Kaiser, and others in 2023.

S. Alam, M. M. Islam, M. S. Hossain, A. Jaiswal, and A. Aziz published “Cryogenic in-memory bit-serial addition using quantum anomalous hall effect-based majority logic” in IEEE Access, volume 11, pages 60717–60723, in 2023.

M. Abdullah-Al Kaiser, G. Datta, S. Sarkar, S. Kundu, Z. Yin, M. Garg, A. P. Jacob, and A. R. Jaiswal presented “Technology-circuit-algorithm tri-design for processing-in-pixel-in-memory (P2M)” at the 2023 Great Lakes Symposium on VLSI.

M. Abdullah-Al Kaiser, E. Tieu, A. P. Jacob, and A. R. Jaiswal also presented “A Context-Switching/Dual-Context ROM Augmented RAM using Standard 8T SRAM” at the same symposium.

G. Datta, Z. Liu, M. Abdullah-Al Kaiser, S. Kundu, J. Mathai, Z. Yin, A. P. Jacob, and colleagues authored “In-sensor & neuromorphic computing are all you need for energy efficient computer vision,” presented at ICASSP 2023.

S. Sunder, A. Jaiswal, and A. Jacob presented “Backside Optical Coupler: A Novel I/O for Mechanically Stable High Efficiency Fiber Coupling” at the 2023 IEEE Electronic Components and Technology Conference (ECTC).

M. Abdullah-Al Kaiser, G. Datta, Z. Wang, A. P. Jacob, P. A. Beerel, and A. R. Jaiswal published “Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors” in Frontiers in Neuroinformatics, volume 17, article 1144301, in 2023.

D. B. Cousins, Y. Polyakov, A. A. Badawi, M. French, A. Schmidt, A. Jacob, and collaborators released a preprint titled “Trebuchet: Fully homomorphic encryption accelerator for deep computation” on arXiv in 2023.

Datta, Gourav; Liu, Zeyu; Yin, Zihan; Sun, Linyu; Jaiswal, Akhilesh R; Beerel, Peter A; “Enabling ISPless Low-Power Computer Vision”Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision2023.

Datta, Gourav; Liu, Zeyu; Abdullah-Al Kaiser, Md; Kundu, Souvik; Mathai, Joe; Yin, Zihan; Jacob, Ajey P; Jaiswal, Akhilesh R; Beerel, Peter A; “In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision”ICASSP 2023-2023 IEEE.

International Conference on Acoustics, Speech and Signal Processing (ICASSP)2023,IEEE
Kaiser, Md Abdullah-Al; Datta, Gourav; Wang, Zixu; Jacob, Ajey P; Beerel, Peter A; Jaiswal, Akhilesh R; “Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors”Frontiers in Neuroinformatics2023,Frontiers.

Snyder, Shay; Thompson, Hunter; Kaiser, Md Abdullah-Al; Schwartz, Gregory; Jaiswal, Akhilesh; Parsa, Maryam; “Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras”arXiv preprint arXiv:2303.141142023.

Kaiser, Md Abdullah-Al; Tieu, Edwin; Jacob, Ajey P; Jaiswal, Akhilesh R; “A Context-Switching/Dual-Context ROM Augmented RAM using Standard 8T SRAM”arXiv preprint arXiv:2304.029082023.

Kaiser, Md Abdullah-Al; Datta, Gourav; Sarkar, Sreetama; Kundu, Souvik; Yin, Zihan; Garg, Manas; Jacob, Ajey P; Beerel, Peter A; Jaiswal, Akhilesh R; “Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)”arXiv preprint arXiv:2304.029682023.

Cousins, David Bruce; Polyakov, Yuriy; Badawi, Ahmad Al; French, Matthew; Schmidt, Andrew; Jacob, Ajey; Reynwar, Benedict; Canida, Kellie; Jaiswal, Akhilesh; Mathew, Clynn; “TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation”arXiv preprint arXiv:2304.052372023.

Alam, Shamiul; Islam, Md Mazharul; Hossain, Md Shafayat; Jaiswal, Akhilesh; Aziz, Ahmedullah; “Cryogenic In-Memory Bit-Serial Addition using Quantum Anomalous Hall Effect-based Majority Logic”IEEE Access2023,IEEE.

Sunder, Sugeet; Jaiswal, Akhilesh; Jacob, Ajey; “Backside Optical Coupler: A Novel I/O for Mechanically Stable High Efficiency Fiber Coupling”2023 IEEE 73rd Electronic Components and Technology Conference (ECTC)2023,IEEE.

Alam, Shamiul; Islam, Md Mazharul; Hossain, Md Shafayat; Jaiswal, Akhilesh; Aziz, Ahmedullah; “CryoCiM: Cryogenic compute-in-memory based on the quantum anomalous Hall effect”Applied Physics Letters2022,AIP Publishing.

2022

Datta, Gourav; Kundu, Souvik; Yin, Zihan; Lakkireddy, Ravi Teja; Mathai, Joe; Jacob, Ajey P; Beerel, Peter A; Jaiswal, Akhilesh R; “A processing-in-pixel-in-memory paradigm for resource-constrained tinyml applications”Scientific Reports2022,Nature Publishing Group UK London.

Datta, Gourav; Kundu, Souvik; Jaiswal, Akhilesh R; Beerel, Peter A; “ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition”Frontiers in neuroscience2022,Frontiers.

Datta, Gourav; Yin, Zihan; Jacob, Ajey; Jaiswal, Akhilesh R; Beerel, Peter A; “Toward efficient hyperspectral image processing inside camera pixels”arXiv preprint arXiv:2203.056962022.

Gaul, Nishtha S; Jaiswal, Akhilesh; Yoon, Hongsik; Lee, Taeyoung; Yamane, Kazutaka; Versaggi, Joe; Carter, Rick; Paul, Bipul C; “A physics based MTJ compact model for state-of-the-art and emerging STT-MRAM failure analysis and yield enhancement”2022 IEEE International Memory Workshop (IMW)2022,IEEE.

Datta, Gourav; Kundu, Souvik; Yin, Zihan; Mathai, Joe; Liu, Zeyu; Wang, Zixu; Tian, Mulin; Lu, Shunlin; Lakkireddy, Ravi Teja; Schmidt, Andrew; “P 2 M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking”2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)2022,IEEE.

Kudalippalliyalil, Ramesh; Chandran, Sujith; Jaiswal, Akhilesh; Wang, Kang L; Jacob, Ajey P; “Heterogeneously integrated quantum chip interposer packaging”2022 IEEE 72nd Electronic Components and Technology Conference (ECTC)2022,IEEE.

Kudalippalliyalil, Ramesh; Chandran, Sujith; Jaiswal, Akhilesh; Jacob, Ajey P; “Coupled Microdisk Resonators for Efficient Electro-Optic Quantum Frequency Conversion”2022 Conference on Lasers and Electro-Optics (CLEO)2022,IEEE.

Yin, Zihan; Kaiser, Md Abdullah-Al; Camara, Lamine Ousmane; Camarena, Mark; Parsa, Maryam; Jacob, Ajey; Schwartz, Gregory; Jaiswal, Akhilesh; “IRIS: Integrated Retinal Functionality in Image Sensors”bioRxiv2022,Cold Spring Harbor Laboratory.

Wijeratne, Sasindu; Jaiswal, Akhilesh; Jacob, Ajey P; Zhang, Bingyi; Prasanna, Viktor; “Performance modeling sparse mttkrp using optical static random access memory on fpga”2022 IEEE High Performance Extreme Computing Conference (HPEC)2022,IEEE.

Alam, Shamiul; Islam, Md Mazharul; Jaiswal, Akhilesh; Cady, Nathaniel; Rose, Garrett; Aziz, Ahmedullah; “Variation-aware design space exploration of Mott memristor-based neuristors”2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)2022,IEEE.

Zhang, Bingyi; Jaiswal, Akhilesh; Mathew, Clynn; Lakkireddy, Ravi Teja; Jacob, Ajey P; Wijeratne, Sasindu; Prasanna, Viktor; “Modeling the Energy Efficiency of GEMM using Optical Random Access Memory”2022 IEEE High Performance Extreme Computing Conference (HPEC)2022,IEEE.

Datta, Gourav; Yin, Zihan; Jacob, Ajey P; Jaiswal, Akhilesh R; Beerel, Peter A; “Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels”European Conference on Computer Vision2022,Springer Nature Switzerland Cham.

2021

Agrawal, Amogh; Ali, Mustafa; Koo, Minsuk; Rathi, Nitin; Jaiswal, Akhilesh; Roy, Kaushik; “IMPULSE: A 65-nm digital compute-in-memory macro with fused weights and membrane potential for spike-based sequential learning tasks”IEEE Solid-State Circuits Letters2021,IEEE.

Datta, Gourav; Kundu, Souvik; Jaiswal, Akhilesh R; Beerel, Peter A; “HYPER-SNN: Towards energy-efficient quantized deep spiking neural networks for hyperspectral image classification”arXiv preprint arXiv:2107.119792021.

Velarde, Humberto Inzunza; Nagaria, Jheel; Yin, Zihan; Jacob, Ajey; Jaiswal, Akhilesh; “Intrinsic spike-timing-dependent plasticity in stochastic magnetic tunnel junctions mediated by heat dynamics”IEEE Magnetics Letters2021,IEEE.

Sheshadri, Haripriya; Vijayakumar, Shwetha; Jacob, Ajey; Jaiswal, Akhilesh; “Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications”arXiv preprint arXiv:2109.030222021.

Kudalippalliyalil, Ramesh; Chandran, Sujith; Jacob, Ajey P; Jaiswal, Akhilesh; “Towards scalable, energy-efficient and ultra-fast optical sram”arXiv preprint arXiv:2111.136822021.

2020

Chakraborty, Indranil; Agrawal, Amogh; Jaiswal, Akhilesh; Srinivasan, Gopalakrishnan; Roy, Kaushik; “In situ unsupervised learning using stochastic switching in magneto-electric magnetic tunnel junctions”Philosophical Transactions of the Royal Society A2020,The Royal Society Publishing.

Jaiswal, Akhilesh; Andrawis, Robert; Agrawal, Amogh; Roy, Kaushik; “Functional Read Enabling In-Memory Computations in 1Transistor—1Resistor Memory Arrays”IEEE Transactions on Circuits and Systems II: Express Briefs2020,IEEE.

Ali, Mustafa; Jaiswal, Akhilesh; Kodge, Sangamesh; Agrawal, Amogh; Chakraborty, Indranil; Roy, Kaushik; “IMAC: In-memory multi-bit multiplication and accumulation in 6T SRAM array”IEEE Transactions on Circuits and Systems I: Regular Papers2020,IEEE.

Chakraborty, Indranil; Jaiswal, A; Saha, AK; Gupta, SK; Roy, K; “Pathways to efficient neuromorphic computing with non-volatile memory technologies”Applied Physics Reviews2020,AIP Publishing.

Jaiswal, Akhilesh; Agrawal, Amogh; Ali, Mustafa F; Sharmin, Saima; Roy, Kaushik; “I-SRAM: Interleaved wordlines for vector Boolean operations using SRAMs”IEEE Transactions on Circuits and Systems I: Regular Papers2020,IEEE.

Jaiswal, Akhilesh; Agrawal, Amogh; Panda, Priyadarshini; Roy, Kaushik; “Neural computing with magnetoelectric domain-wall-based neurosynaptic devices”IEEE Transactions on Magnetics2020,IEEE.

2019

Jaiswal, Akhilesh; Chakraborty, Indranil; Agrawal, Amogh; Roy, Kaushik; “8T SRAM cell as a multibit dot-product engine for beyond von Neumann computing”IEEE Transactions on Very Large Scale Integration (VLSI) Systems2019,IEEE.

Agrawal, Amogh; Jaiswal, Akhilesh; Roy, Deboleena; Han, Bing; Srinivasan, Gopalakrishnan; Ankit, Aayush; Roy, Kaushik; “Xcel-RAM: Accelerating binary neural networks in high-throughput SRAM compute arrays”IEEE Transactions on Circuits and Systems I: Regular Papers2019,IEEE.

Jaiswal, Akhilesh; Agrawal, Amogh; Chakraborty, Indranil; Ali, Mustafa Fayez; Roy, Kaushik; “Digital and analog-mixed-signal in-memory processing in cmos sram”Proceedings of the 2019 on Great Lakes Symposium on VLSI2019.

Jaiswal, Akhilesh; “Exploiting Voltage Driven Switching of Ferromagnets for Novel Spin based devices and circuits”2019,Purdue University.

Jaiswal, Akhilesh; Agrawal, Amogh; Chakraborty, Indranil; Roy, Deboleena; Roy, Kaushik; “On robustness of spin-orbit-torque based stochastic sigmoid neurons for spiking neural networks”2019 International Joint Conference on Neural Networks (IJCNN)2019,IEEE.

Ali, Mustafa F; Jaiswal, Akhilesh; Roy, Kaushik; “In-memory low-cost bit-serial addition using commodity DRAM technology”IEEE Transactions on Circuits and Systems I: Regular Papers2019,IEEE.

Roy, Kaushik; Jaiswal, Akhilesh; Panda, Priyadarshini; “Towards spike-based machine intelligence with neuromorphic computing”Nature2019,Nature Publishing Group UK London.

2018

Agrawal, Amogh; Jaiswal, Akhilesh; Lee, Chankyu; Roy, Kaushik; “X-SRAM: Enabling in-memory Boolean computations in CMOS static random access memories”IEEE Transactions on Circuits and Systems I: Regular Papers2018,IEEE.

Al Azim, Zubair; Jaiswal, Akhilesh; Chakraborty, Indranil; Roy, Kaushik; “Capacitively Driven Global Interconnect With Energy-Efficient Receiver Based on Magneto-Electric Switching”IEEE Magnetics Letters2018,IEEE.

Jaiswal, Akhilesh; Agrawal, Amogh; Roy, Kaushik; “In-situ, in-memory stateful vector logic operations based on voltage controlled magnetic anisotropy”Scientific reports2018,Nature Publishing Group UK London.

Jaiswal, Akhilesh; Andrawis, Robert; Roy, Kaushik; “Area-efficient nonvolatile flip-flop based on spin hall effect”IEEE Magnetics Letters2018,IEEE.

Andrawis, Robert; Jaiswal, Akhilesh; Roy, Kaushik; “Design and comparative analysis of spintronic memories based on current and voltage driven switching”IEEE Transactions on Electron Devices2018,IEEE.

Sarwar, Syed Shakib; Srinivasan, Gopalakrishnan; Han, Bing; Wijesinghe, Parami; Jaiswal, Akhilesh; Panda, Priyadarshini; Raghunathan, Anand; Roy, Kaushik; “Energy efficient neural computing: A study of cross-layer approximations”IEEE Journal on Emerging and Selected Topics in Circuits and Systems2018,IEEE.

Jaiswal, Akhilesh; Roy, Kaushik; “MESL: Proposal for a Non-volatile Cascadable M agneto-E lectric S pin Logic”Scientific reports2017,Nature Publishing Group UK London.

2017

Jaiswal, Akhilesh; Chakraborty, Indranil; Roy, Kaushik; “Energy-efficient memory using magneto-electric switching of ferromagnets”IEEE Magnetics Letters2017,IEEE.

Jaiswal, Akhilesh; Roy, Sourjya; Srinivasan, Gopalakrishnan; Roy, Kaushik; “Proposal for a leaky-integrate-fire spiking neuron based on magnetoelectric switching of ferromagnets”IEEE Transactions on Electron Devices2017,IEEE.

Shim, Yong; Jaiswal, Akhilesh; Roy, Kaushik; “Ising computation based combinatorial optimization using spin-Hall effect (SHE) induced stochastic magnetization reversal”Journal of applied physics2017,AIP Publishing LLC.

Liyanagedera, Chamika M; Wijesinghe, Parami; Jaiswal, Akhilesh; Roy, Kaushik; “Image segmentation with stochastic magnetic tunnel junctions and spiking neurons”2017 International Joint Conference on Neural Networks (IJCNN)2017,IEEE.

Jaiswal, Akhilesh; Chakraborty, Indranil; Roy, Kaushik; “A non-volatile cascadable magneto-electric material implication logic”2017 75th Annual Device Research Conference (DRC)2017,IEEE.

Jaiswal, Akhilesh; Agrawal, Amogh; Roy, Kaushik; “Robust and cascadable nonvolatile magnetoelectric majority logic”IEEE Transactions on Electron Devices2017,IEEE.

Shim, Yong; Jaiswal, Akhilesh; Roy, Kaushik; “Stochastic switching of she-mtj as a natural annealer for efficient combinatorial optimization”2017 IEEE International Conference on Computer Design (ICCD)2017,IEEE.

Liyanagedera, Chamika M; Sengupta, Abhronil; Jaiswal, Akhilesh; Roy, Kaushik; “Stochastic spiking neural networks enabled by magnetic tunnel junctions: From nontelegraphic to telegraphic switching regimes”Physical Review Applied2017,American Physical Society.

Raha, Arnab; Jaiswal, Akhilesh; Sarwar, Syed Shakib; Jayakumar, Hrishikesh; Raghunathan, Vijay; Roy, Kaushik; “Designing energy-efficient intermittently powered systems using spin-Hall-effect-based nonvolatile SRAM”IEEE Transactions on Very Large Scale Integration (VLSI) Systems2017,IEEE.

Jaiswal, Akhilesh; Agrawal, Amogh; Panda, Priyadarshini; Roy, Kaushik; “Voltage-driven domain-wall motion based neuro-synaptic devices for dynamic on-line learning”arXiv preprint arXiv:1705.069422017.

2016

Jaiswal, Akhilesh; Fong, Xuanyao; Roy, Kaushik; “Comprehensive scaling analysis of current induced switching in magnetic memories based on in-plane and perpendicular anisotropies”IEEE Journal on Emerging and Selected Topics in Circuits and Systems2016,IEEE.

Srinivasan, Gopalakrishnan; Wijesinghe, Parami; Sarwar, Syed Shakib; Jaiswal, Akhilesh; Roy, Kaushik; “Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks”2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)2016,IEEE.

Jaiswal, Akhilesh; Roy, Kaushik; “Spin transfer torque memories for on-chip caches: Prospects and perspectives”2016 17th Latin-American Test Symposium (LATS)2016,IEEE.

Sharmin, Saima; Jaiswal, Akhilesh; Roy, Kaushik; “Modeling and design space exploration for bit-cells based on voltage-assisted switching of magnetic tunnel junctions”IEEE Transactions on Electron Devices2016,IEEE.

Sengupta, Abhronil; Jaiswal, Akhilesh; Roy, Kaushik; “True random number generation using voltage controlled spin-dice”2016 74th Annual Device Research Conference (DRC)2016,IEEE.

Panda, Priyadarshini; Roy, Deboleena; Srinivasan, Gopalakrishnan; Jaiswal, Akhilesh; Tomsett, Richard; Desai, Nirmit; Ganti, Raghu; Roy, Kaushik; “Neural Networks at the Edge”.