Energy efficient trajectory planning by a robot arm using invasive weed optimization technique. - Abhronil Sengupta; Tathagata Chakraborti; Amit Konar; Atulya Nagar (NaBIC, 2011)

Implementation of EEG based control of remote robotic systems. - Tathagata Chakraborti; Abhronil Sengupta; Dhrubojyoti Banerjee; Amit Konar; Saugat Bhattacharyya; Anwesha Khasnobish; Ramadoss Janarthanan (ReTIS, 2011)

Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm. - Tathagata Chakraborti; Abhronil Sengupta; Amit Konar; Ramadoss Janarthanan (SEMCCO (2), 2011)

An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata. - Abhronil Sengupta; Tathagata Chakraborti; Amit Konar; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2012)

A heuristic approach to 3D face modelling for efficient face recognition. - Tathagata Chakraborti; Abhronil Sengupta; Amit Konar; Ramadoss Janarthanan (HIS, 2012)

A Metaheuristic Approach to Two Dimensional Recursive Digital Filter Design. - Abhronil Sengupta; Tathagata Chakraborti; Amit Konar (Advances in Heuristic Signal Processing and Applications, 2013)

3-D model assisted facial error concealment technique using regenerative particle filter based tracking. - Tathagata Chakraborti; Abhronil Sengupta; Abhishek Midya; Amit Konar; Somnath Sengupta (ICME Workshops, 2013)

Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity. - Abhronil Sengupta; Zubair Al Azim; Xuanyao Fong; Kaushik Roy 001 (CoRR, 2014)

Spin Orbit Torque Based Electronic Neuron. - Abhronil Sengupta; Sri Harsha Choday; Yusung Kim 002; Kaushik Roy 001 (CoRR, 2014)

Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. - Saugat Bhattacharyya; Abhronil Sengupta; Tathagata Chakraborti; Amit Konar; D. N. Tibarewala (Medical Biol. Eng. Comput., 2014)

Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. - Abhronil Sengupta; Kaushik Roy 001 (IJCNN, 2015)

Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. - Zubair Al Azim; Abhronil Sengupta; Syed Shakib Sarwar; Kaushik Roy 001 (CoRR, 2015)

Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. - Priyadarshini Panda; Abhronil Sengupta; Swagath Venkataramani; Anand Raghunathan; Kaushik Roy 001 (CoRR, 2015)

Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems. - Abhronil Sengupta; Aparajita Banerjee; Kaushik Roy 001 (CoRR, 2015)

Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. - Abhronil Sengupta; Priyadarshini Panda; Parami Wijesinghe; Yusung Kim 002; Kaushik Roy 001 (CoRR, 2015)

Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses. - Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2015)

Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets. - Abhronil Sengupta; Yong Shim; Kaushik Roy 001 (CoRR, 2015)

Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. - Abhronil Sengupta; Karthik Yogendra; Deliang Fan; Kaushik Roy 001 (ASP-DAC, 2016)

Toward a spintronic deep learning spiking neural processor. - Abhronil Sengupta; Bing Han 006; Kaushik Roy 001 (BioCAS, 2016)

Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. - Priyadarshini Panda; Abhronil Sengupta; Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Swagath Venkataramani; Anand Raghunathan; Kaushik Roy 001 (DAC, 2016)

Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. - Yong Shim; Abhronil Sengupta; Kaushik Roy 001 (DAC, 2016)

Conditional Deep Learning for energy-efficient and enhanced pattern recognition. - Priyadarshini Panda; Abhronil Sengupta; Kaushik Roy 001 (DATE, 2016)

On the energy benefits of spiking deep neural networks: A case study. - Bing Han 006; Abhronil Sengupta; Kaushik Roy 001 (IJCNN, 2016)

Spintronic devices for ultra-low power neuromorphic computation (Special session paper). - Abhronil Sengupta; Karthik Yogendra; Kaushik Roy 001 (ISCAS, 2016)

Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. - Abhronil Sengupta; Priyadarshini Panda; Anand Raghunathan; Kaushik Roy 001 (VLSID, 2016)

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. - Abhronil Sengupta; Maryam Parsa; Bing Han 006; Kaushik Roy 001 (CoRR, 2016)

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets. - Abhronil Sengupta; Yong Shim; Kaushik Roy 001 (IEEE Trans. Biomed. Circuits Syst., 2016)

Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. - Xuanyao Fong; Yusung Kim 002; Karthik Yogendra; Deliang Fan; Abhronil Sengupta; Anand Raghunathan; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

A Vision for All-Spin Neural Networks: A Device to System Perspective. - Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. - Deliang Fan; Mrigank Sharad; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. - Aayush Ankit; Abhronil Sengupta; Priyadarshini Panda; Kaushik Roy 001 (DAC, 2017)

Magnetic tunnel junction enabled all-spin stochastic spiking neural network. - Gopalakrishnan Srinivasan; Abhronil Sengupta; Kaushik Roy 001 (DATE, 2017)

TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. - Aayush Ankit; Abhronil Sengupta; Kaushik Roy 001 (ICCAD, 2017)

Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). - Abhronil Sengupta; Aayush Ankit; Kaushik Roy 001 (IJCNN, 2017)

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference. - Yong Shim; Shuhan Chen; Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2017)

Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. - Chamika M. Liyanagedera; Abhronil Sengupta; Akhilesh Jaiswal 001; Kaushik Roy 001 (CoRR, 2017)

Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. - Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2017)

An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. - Parami Wijesinghe; Aayush Ankit; Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2017)

Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. - Priyadarshini Panda; Abhronil Sengupta; Kaushik Roy 001 (ACM J. Emerg. Technol. Comput. Syst., 2017)

Energy-Efficient Object Detection Using Semantic Decomposition. - Priyadarshini Panda; Swagath Venkataramani; Abhronil Sengupta; Anand Raghunathan; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. - Aayush Ankit; Abhronil Sengupta; Kaushik Roy 001 (SiPS, 2018)

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. - Abhronil Sengupta; Yuting Ye; Robert Wang 002; Chiao Liu; Kaushik Roy 001 (CoRR, 2018)

All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. - Indranil Chakraborty; Gobinda Saha; Abhronil Sengupta; Kaushik Roy 001 (CoRR, 2018)

Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. - Shubham Jain; Abhronil Sengupta; Kaushik Roy 001; Anand Raghunathan (CoRR, 2018)

An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. - Parami Wijesinghe; Aayush Ankit; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. - Bing Han 006; Aayush Ankit; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Multi Scale Comput. Syst., 2018)

Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems - Abhronil Sengupta (2018)

Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. - Nicholas Jao; Akshay Krishna Ramanathan; Abhronil Sengupta; John Sampson; Vijaykrishnan Narayanan (ISCAS, 2019)

All-Spin Bayesian Neural Networks. - Kezhou Yang; Akul Malhotra; Sen Lu; Abhronil Sengupta (CoRR, 2019)

Stochastic Magnetoelectric Neuron for Temporal Information Encoding. - Kezhou Yang; Abhronil Sengupta (CoRR, 2019)

Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. - Akul Malhotra; Sen Lu; Kezhou Yang; Abhronil Sengupta (CoRR, 2019)

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Chankyu Lee; Abhronil Sengupta; Priyadarshini Panda; Syed Shakib Sarwar; Kaushik Roy 001 (ICASSP, 2020)

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. - Sonali Singh; Anup Sarma; Nicholas Jao; Ashutosh Pattnaik; Sen Lu; Kezhou Yang; Abhronil Sengupta; Vijaykrishnan Narayanan; Chita R. Das (ISCA, 2020)

Exploring the Connection Between Binary and Spiking Neural Networks. - Sen Lu; Abhronil Sengupta (CoRR, 2020)

Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing. - Kaveri Mahapatra; Abhronil Sengupta; Nilanjan Ray Chaudhuri (CoRR, 2020)

Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons. - Umang Garg; Kezhou Yang; Abhronil Sengupta (CoRR, 2020)

On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. - Mehul Rastogi; Sen Lu; Abhronil Sengupta (CoRR, 2020)

TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks. - Aayush Ankit; Timur Ibrayev; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. - Sonali Singh; Anup Sarma; Sen Lu; Abhronil Sengupta; Vijaykrishnan Narayanan; Chita R. Das (ISLPED, 2021)

Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning. - Arnob Saha; A. N. M. Nafiul Islam; Zijian Zhao 001; Shan Deng; Kai Ni 004; Abhronil Sengupta (CoRR, 2021)

RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. - Shubham Jain; Abhronil Sengupta; Kaushik Roy 001; Anand Raghunathan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing. - Kaveri Mahapatra; Sen Lu; Abhronil Sengupta; Nilanjan Ray Chaudhuri (IEEE Trans. Smart Grid, 2021)

Paper under final revision. - Hai-Tian Zhang; Tae Joon Park; A. N. M. Nafiul Islam; Dat Tran; Sukriti Manna; Qi Wang; Sandip Mondal; Haoming Yu; Suvo Banik; Shaobo Cheng; Hua Zhou; Sampath Gamage; et al. (Zenodo, 2021)

Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. - Sen Lu; Abhronil Sengupta (AICAS, 2022)

Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. - Wyler Zahm; Tyler Stern; Malyaban Bal; Abhronil Sengupta; Aswin Jose; Suhas Chelian; Srini Vasan (BICA*AI, 2022)

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. - Sonali Singh; Anup Sarma; Sen Lu; Abhronil Sengupta; Mahmut T. Kandemir; Emre Neftci; Vijaykrishnan Narayanan; Chita R. Das (MICRO, 2022)

All-Electric Nonassociative Learning in Nickel Oxide. - Sandip Mondal; Zhen Zhang 069; A. N. M. Nafiul Islam; Robert Andrawis; Sampath Gamage; Neda Alsadat Aghamiri; Qi Wang; Hua Zhou; Fanny Rodolakis; Richard Tran; Jasleen Kaur; Chi Chen; et al. (Adv. Intell. Syst., 2022)

Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays. - Kezhou Yang; Abhronil Sengupta (CoRR, 2022)

Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors. - A. N. M. Nafiul Islam; Arnob Saha; Zhouhang Jiang; Kai Ni 004; Abhronil Sengupta (CoRR, 2022)

Astromorphic Self-Repair of Neuromorphic Hardware Systems. - Zhuangyu Han; A. N. M. Nafiul Islam; Abhronil Sengupta (AAAI, 2023)

Sequence Learning Using Equilibrium Propagation. - Malyaban Bal; Abhronil Sengupta (IJCAI, 2023)

Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing. - A. N. M. Nafiul Islam; Kai Ni 004; Abhronil Sengupta (MWSCAS, 2023)

Delving Deeper Into Astromorphic Transformers. - Md Zesun Ahmed Mia; Malyaban Bal; Abhronil Sengupta (CoRR, 2023)

Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning. - Bibhas Manna; Arnob Saha; Zhouhang Jiang; Kai Ni 004; Abhronil Sengupta (CoRR, 2023)

Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion. - Zhuangyu Han; Abhronil Sengupta (CoRR, 2023)

Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. - Kezhou Yang; Dhuruva Priyan G. M; Abhronil Sengupta (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. - Nitin Rathi; Indranil Chakraborty; Adarsh Kosta; Abhronil Sengupta; Aayush Ankit; Priyadarshini Panda; Kaushik Roy 001 (ACM Comput. Surv., 2023)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. - Malyaban Bal; Abhronil Sengupta (AAAI, 2024)

Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing. - Arnob Saha; Bibhas Manna; Sen Lu; Zhouhang Jiang; Kai Ni 004; Abhronil Sengupta (AICAS, 2024)

Exploring Extreme Quantization in Spiking Language Models. - Malyaban Bal; Yi Jiang; Abhronil Sengupta (ICONS, 2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding. - Yi Jiang; Sen Lu; Abhronil Sengupta (ICONS, 2024)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. - Jiaqi Lin; Malyaban Bal; Abhronil Sengupta (ICONS, 2024)

Equilibrium-Based Learning Dynamics in Spiking Architectures. - Malyaban Bal; Abhronil Sengupta (ISCAS, 2024)

Rethinking Spiking Neural Networks as State Space Models. - Malyaban Bal; Abhronil Sengupta (CoRR, 2024)

Deep unsupervised learning using spike-timing-dependent plasticity. - Sen Lu; Abhronil Sengupta (Neuromorph. Comput. Eng., 2024)

Hardware in Loop Learning with Spin Stochastic Neurons. - A. N. M. Nafiul Islam; Kezhou Yang; Amit K. Shukla; Pravin Khanal; Bowei Zhou; Weigang Wang; Abhronil Sengupta (Adv. Intell. Syst., 2024)

P-Spikessm: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks. - Malyaban Bal; Abhronil Sengupta (ICLR, 2025)

Benchmarking Spiking Neural Network Learning Methods With Varying Locality. - Jiaqi Lin; Sen Lu; Malyaban Bal; Abhronil Sengupta (IEEE Access, 2025)

Editorial: Focus issue on quantum materials for neuromorphic computing. - Abhronil Sengupta; Asif I Khan (Neuromorph. Comput. Eng., 2025)

An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage. - Zijian Zhao 001; Varun Darshana Parekh; Po-Kai Hsu; Yixin Qin; Yiming Song; A. N. M. Nafiul Islam; Ningyuan Cao; Siddharth Joshi 001; Thomas Kämpfe; Moonyoung Jung; Kwangyou Seo; Kwangsoo Kim; et al. (CoRR, 2025)

Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks. - Jiaqi Lin; Abhronil Sengupta (CoRR, 2025)

A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems. - Zhouhang Jiang; A. N. M. Nafiul Islam; Zhuangyu Han; Zijian Zhao 001; Franz Müller 001; Jiahui Duan; Halid Mulaosmanovic; Stefan Dünkel; Sven Beyer; Sourav Dutta; Vijaykrishnan Narayanan; Thomas Kämpfe; et al. (CoRR, 2025)

Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors. - A. N. M. Nafiul Islam; Xuezhong Niu; Jiahui Duan; Shubham Kumar; Kai Ni 004; Abhronil Sengupta (CoRR, 2025)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. - Md Zesun Ahmed Mia; Malyaban Bal; Sen Lu; George M. Nishibuchi; Suhas Chelian; Srini Vasan; Abhronil Sengupta (CoRR, 2025)