Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Abhronil Sengupta is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: Spintronics Enabled Stochastic Spiking Neural Networks with Temporal Information Encoding
Sengupta, A. (PI)
6/1/24 → 5/31/27
Project: Research project
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EFRI BRAID: Neuroscience Inspired Visual Analytics
Narayanan, V. (PI), Itti, N. (CoPI), Raghunathan, N. (CoPI), Sengupta, A. (CoPI) & Mahdavi, M. (CoPI)
9/1/23 → 8/31/27
Project: Research project
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EAGER: An Experimental Exploration for Spin-Based Neuromorphic Computing
Sengupta, A. (PI)
8/1/20 → 7/31/22
Project: Research project
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SHF: Medium: A Technology-Architecture-Algorithm Co-Design Exploration of Scalable Spiking Neural Networks (SNNs)
Das, C. C. (PI), Sengupta, A. (CoPI) & Narayanan, V. V. (CoPI)
6/1/20 → 5/31/23
Project: Research project
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Deep unsupervised learning using spike-timing-dependent plasticity
Lu, S. & Sengupta, A., Jun 1 2024, In: Neuromorphic Computing and Engineering. 4, 2, 024004.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing
Saha, A., Manna, B., Lu, S., Jiang, Z., Ni, K. & Sengupta, A., 2024, 2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 327-331 5 p. (2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Equilibrium-Based Learning Dynamics in Spiking Architectures
Bal, M. & Sengupta, A., 2024, ISCAS 2024 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE International Symposium on Circuits and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Exploring Extreme Quantization in Spiking Language Models
Bal, M., Jiang, Y. & Sengupta, A., 2024, Proceedings - 2024 International Conference on Neuromorphic Systems, ICONS 2024. Institute of Electrical and Electronics Engineers Inc., p. 272-276 5 p. (Proceedings - 2024 International Conference on Neuromorphic Systems, ICONS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Hardware in Loop Learning with Spin Stochastic Neurons
Islam, A. N. M. N., Yang, K., Shukla, A. K., Khanal, P., Zhou, B., Wang, W. G. & Sengupta, A., Jul 2024, In: Advanced Intelligent Systems. 6, 7, 2300805.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations