Abhronil Sengupta

116 papers A* 9A 4B 4C 4Misc 2Journal 76Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion. IEEE Trans. Cogn. Dev. Syst. Zhuangyu Han, Abhronil Sengupta
2026	J	`jnl`	RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers. CoRR Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
2025	J	`jnl`	A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems. CoRR Zhouhang Jiang, A. N. M. Nafiul Islam, Zhuangyu Han, Zijian Zhao, Franz Müller, Jiahui Duan, Halid Mulaosmanovic, Stefan Dünkel, Sven Beyer, Sourav Dutta, Vijaykrishnan Narayanan, Thomas Kämpfe, Suma George Cardwell, Frances S. Chance, Abhronil Sengupta, Kai Ni
2025	J	`jnl`	An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage. CoRR Zijian Zhao, Varun Darshana Parekh, Po-Kai Hsu, Yixin Qin, Yiming Song, A. N. M. Nafiul Islam, Ningyuan Cao, Siddharth Joshi, Thomas Kämpfe, Moonyoung Jung, Kwangyou Seo, Kwangsoo Kim, Wanki Kim, Daewon Ha, Sourav Dutta, Abhronil Sengupta, Xiao Gong, Shimeng Yu, Vijaykrishnan Narayanan, Kai Ni
2025	J	`jnl`	Benchmarking Spiking Neural Network Learning Methods With Varying Locality. IEEE Access Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta
2025	J	`jnl`	Delving Deeper Into Astromorphic Transformers. IEEE Trans. Cogn. Dev. Syst. Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
2025	J	`jnl`	Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors. CoRR A. N. M. Nafiul Islam, Xuezhong Niu, Jiahui Duan, Shubham Kumar, Kai Ni, Abhronil Sengupta
2025	J	`jnl`	Editorial: Focus issue on quantum materials for neuromorphic computing. Neuromorph. Comput. Eng. Abhronil Sengupta, Asif I Khan
2025	J	`jnl`	GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers. CoRR Malyaban Bal, Abhronil Sengupta
2025	—	`conf`	Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. ICONS Md Zesun Ahmed Mia, Malyaban Bal, Sen Lu, George M. Nishibuchi, Suhas Chelian, Srini Vasan, Abhronil Sengupta
2025	J	`jnl`	Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. CoRR Md Zesun Ahmed Mia, Malyaban Bal, Sen Lu, George M. Nishibuchi, Suhas Chelian, Srini Vasan, Abhronil Sengupta
2025	A*	`conf`	P-Spikessm: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks. ICLR Malyaban Bal, Abhronil Sengupta
2025	J	`jnl`	Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs. CoRR Jiaqi Lin, Malyaban Bal, Abhronil Sengupta
2025	J	`jnl`	Spatio-Temporal Pruning for Compressed Spiking Large Language Models. CoRR Yi Jiang, Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb, Abhronil Sengupta
2025	J	`jnl`	StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks. CoRR Jiaqi Lin, Yi Jiang, Abhronil Sengupta
2025	J	`jnl`	Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks. CoRR Jiaqi Lin, Abhronil Sengupta
2024	J	`jnl`	Benchmarking Spiking Neural Network Learning Methods with Varying Locality. CoRR Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta
2024	J	`jnl`	Deep unsupervised learning using spike-timing-dependent plasticity. Neuromorph. Comput. Eng. Sen Lu, Abhronil Sengupta
2024	—	`conf`	Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing. AICAS Arnob Saha, Bibhas Manna, Sen Lu, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
2024	C	`conf`	Equilibrium-Based Learning Dynamics in Spiking Architectures. ISCAS Malyaban Bal, Abhronil Sengupta
2024	—	`conf`	Exploring Extreme Quantization in Spiking Language Models. ICONS Malyaban Bal, Yi Jiang, Abhronil Sengupta
2024	J	`jnl`	Exploring Extreme Quantization in Spiking Language Models. CoRR Malyaban Bal, Yi Jiang, Abhronil Sengupta
2024	J	`jnl`	Hardware in Loop Learning with Spin Stochastic Neurons. Adv. Intell. Syst. A. N. M. Nafiul Islam, Kezhou Yang, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Weigang Wang, Abhronil Sengupta
2024	J	`jnl`	Rethinking Spiking Neural Networks as State Space Models. CoRR Malyaban Bal, Abhronil Sengupta
2024	—	`conf`	Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. ICONS Jiaqi Lin, Malyaban Bal, Abhronil Sengupta
2024	J	`jnl`	Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. CoRR Jiaqi Lin, Malyaban Bal, Abhronil Sengupta
2024	A*	`conf`	SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. AAAI Malyaban Bal, Abhronil Sengupta
2024	—	`conf`	Stochastic Spiking Neural Networks with First-to-Spike Coding. ICONS Yi Jiang, Sen Lu, Abhronil Sengupta
2024	J	`jnl`	Stochastic Spiking Neural Networks with First-to-Spike Coding. CoRR Yi Jiang, Sen Lu, Abhronil Sengupta
2023	J	`jnl`	Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion. CoRR Zhuangyu Han, Abhronil Sengupta
2023	A*	`conf`	Astromorphic Self-Repair of Neuromorphic Hardware Systems. AAAI Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta
2023	—	`conf`	Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing. MWSCAS A. N. M. Nafiul Islam, Kai Ni, Abhronil Sengupta
2023	J	`jnl`	Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity. CoRR Sen Lu, Abhronil Sengupta
2023	J	`jnl`	Delving Deeper Into Astromorphic Transformers. CoRR Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
2023	J	`jnl`	Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
2023	J	`jnl`	Hardware in Loop Learning with Spin Stochastic Neurons. CoRR A. N. M. Nafiul Islam, Kezhou Yang, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Weigang Wang, Abhronil Sengupta
2023	J	`jnl`	Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta
2023	A*	`conf`	Sequence Learning Using Equilibrium Propagation. IJCAI Malyaban Bal, Abhronil Sengupta
2023	J	`jnl`	SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. CoRR Malyaban Bal, Abhronil Sengupta
2023	J	`jnl`	Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning. CoRR Bibhas Manna, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
2022	J	`jnl`	All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst. Sandip Mondal, Zhen Zhang, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate, Kaushik Roy, Shriram Ramanathan
2022	J	`jnl`	Astromorphic Self-Repair of Neuromorphic Hardware Systems. CoRR Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta
2022	—	`conf`	Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. BICA*AI Wyler Zahm, Tyler Stern, Malyaban Bal, Abhronil Sengupta, Aswin Jose, Suhas Chelian, Srini Vasan
2022	—	`conf`	Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. AICAS Sen Lu, Abhronil Sengupta
2022	J	`jnl`	Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors. CoRR A. N. M. Nafiul Islam, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
2022	J	`jnl`	Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. CoRR Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta
2022	J	`jnl`	Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays. CoRR Kezhou Yang, Abhronil Sengupta
2022	J	`jnl`	Sequence Learning using Equilibrium Propagation. CoRR Malyaban Bal, Abhronil Sengupta
2022	A*	`conf`	Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
2021	A	`conf`	Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. ISLPED Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
2021	J	`jnl`	Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning. CoRR Arnob Saha, A. N. M. Nafiul Islam, Zijian Zhao, Shan Deng, Kai Ni, Abhronil Sengupta
2021	J	`jnl`	Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing. IEEE Trans. Smart Grid Kaveri Mahapatra, Sen Lu, Abhronil Sengupta, Nilanjan Ray Chaudhuri
2021	J	`jnl`	RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
2020	J	`jnl`	Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons. CoRR Umang Garg, Kezhou Yang, Abhronil Sengupta
2020	J	`jnl`	Exploring the Connection Between Binary and Spiking Neural Networks. CoRR Sen Lu, Abhronil Sengupta
2020	A*	`conf`	NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
2020	J	`jnl`	On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. CoRR Mehul Rastogi, Sen Lu, Abhronil Sengupta
2020	J	`jnl`	Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing. CoRR Kaveri Mahapatra, Abhronil Sengupta, Nilanjan Ray Chaudhuri
2020	J	`jnl`	Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
2020	J	`jnl`	TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy
2020	Misc	`conf`	Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy
2019	J	`jnl`	All-Spin Bayesian Neural Networks. CoRR Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta
2019	J	`jnl`	Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. CoRR Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta
2019	C	`conf`	Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan
2019	J	`jnl`	Stochastic Magnetoelectric Neuron for Temporal Information Encoding. CoRR Kezhou Yang, Abhronil Sengupta
2018	J	`jnl`	All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy
2018	J	`jnl`	An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. IEEE Trans. Emerg. Top. Comput. Intell. Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2018	J	`jnl`	Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2018	—	`—`	Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems Abhronil Sengupta
2018	J	`jnl`	Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. CoRR Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy
2018	—	`conf`	Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2018	J	`jnl`	Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
2017	J	`jnl`	An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. CoRR Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2017	J	`jnl`	Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. CoRR Abhronil Sengupta, Kaushik Roy
2017	J	`jnl`	Energy-Efficient Object Detection Using Semantic Decomposition. IEEE Trans. Very Large Scale Integr. Syst. Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
2017	J	`jnl`	Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. ACM J. Emerg. Technol. Comput. Syst. Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2017	J	`jnl`	Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. CoRR Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy
2017	A	`conf`	Magnetic tunnel junction enabled all-spin stochastic spiking neural network. DATE Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy
2017	B	`conf`	Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN Abhronil Sengupta, Aayush Ankit, Kaushik Roy
2017	A*	`conf`	RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. DAC Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
2017	J	`jnl`	Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference. CoRR Yong Shim, Shuhan Chen, Abhronil Sengupta, Kaushik Roy
2017	J	`jnl`	TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2017	A	`conf`	TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD Aayush Ankit, Abhronil Sengupta, Kaushik Roy
2016	J	`jnl`	A Vision for All-Spin Neural Networks: A Device to System Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. Abhronil Sengupta, Kaushik Roy
2016	A	`conf`	Conditional Deep Learning for energy-efficient and enhanced pattern recognition. DATE Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2016	J	`jnl`	Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. IEEE Trans. Neural Networks Learn. Syst. Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
2016	A*	`conf`	Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
2016	A*	`conf`	Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. DAC Yong Shim, Abhronil Sengupta, Kaushik Roy
2016	Misc	`conf`	Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. VLSID Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy
2016	B	`conf`	On the energy benefits of spiking deep neural networks: A case study. IJCNN Bing Han, Abhronil Sengupta, Kaushik Roy
2016	J	`jnl`	Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy
2016	J	`jnl`	Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets. IEEE Trans. Biomed. Circuits Syst. Abhronil Sengupta, Yong Shim, Kaushik Roy
2016	—	`conf`	Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy
2016	J	`jnl`	Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xuanyao Fong, Yusung Kim, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
2016	C	`conf`	Spintronic devices for ultra-low power neuromorphic computation (Special session paper). ISCAS Abhronil Sengupta, Karthik Yogendra, Kaushik Roy
2016	—	`conf`	Toward a spintronic deep learning spiking neural processor. BioCAS Abhronil Sengupta, Bing Han, Kaushik Roy
2015	J	`jnl`	Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition. CoRR Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
2015	J	`jnl`	Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems. CoRR Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy
2015	J	`jnl`	Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. CoRR Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy
2015	J	`jnl`	Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. CoRR Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
2015	J	`jnl`	Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses. CoRR Abhronil Sengupta, Kaushik Roy
2015	J	`jnl`	Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets. CoRR Abhronil Sengupta, Yong Shim, Kaushik Roy
2015	J	`jnl`	Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. CoRR Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy
2015	B	`conf`	Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. IJCNN Abhronil Sengupta, Kaushik Roy
2014	J	`jnl`	Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. Medical Biol. Eng. Comput. Saugat Bhattacharyya, Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, D. N. Tibarewala
2014	J	`jnl`	Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. CoRR Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
2014	J	`jnl`	Spin Orbit Torque Based Electronic Neuron. CoRR Abhronil Sengupta, Sri Harsha Choday, Yusung Kim, Kaushik Roy
2014	J	`jnl`	Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity. CoRR Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong, Kaushik Roy
2013	—	`conf`	3-D model assisted facial error concealment technique using regenerative particle filter based tracking. ICME Workshops Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, Amit Konar, Somnath Sengupta
2013	—	`ch.`	A Metaheuristic Approach to Two Dimensional Recursive Digital Filter Design. Advances in Heuristic Signal Processing and Applications Abhronil Sengupta, Tathagata Chakraborti, Amit Konar
2012	C	`conf`	A heuristic approach to 3D face modelling for efficient face recognition. HIS Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan
2012	B	`conf`	An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata. IEEE Congress on Evolutionary Computation Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Eunjin Kim, Atulya K. Nagar
2011	—	`conf`	Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm. SEMCCO (2) Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan
2011	—	`conf`	Energy efficient trajectory planning by a robot arm using invasive weed optimization technique. NaBIC Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Atulya Nagar
2011	—	`conf`	Implementation of EEG based control of remote robotic systems. ReTIS Tathagata Chakraborti, Abhronil Sengupta, Dhrubojyoti Banerjee, Amit Konar, Saugat Bhattacharyya, Anwesha Khasnobish, Ramadoss Janarthanan