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个人简介
Vivek Saraswat received dual B. Tech. and M. Tech. degrees in Electrical Engineering with specialization in microelectronics from the Indian Institute of Technology Bombay (India) in 2018. He received the Undergraduate Research Award for his dual degree thesis on network applications of resistive switching devices. He was selected for the Prime Minister’s Research Fellowship to continue quality research at IIT Bombay, where he is also pursuing a Ph. D. degree in the Department of Electrical Engineering under the guidance of Prof. Udayan Ganguly. He has submitted his Ph. D. thesis on the modelling and control of PCMO-based RRAM in 2023.
He has worked on emerging memories for in-memory computing, on-chip training for SRAM-based ANN, and probabilistic neural networks using stochastic devices as a part of the India Research Program of the Semiconductor Research Corporation, from 2019 to 2022. He was a part of Intel’s Neuromorphic Research Community to benchmark Speech Classification algorithms using LSM on Intel’s Loihi from 2018 to 2022. His research interest includes memory devices for neuromorphic applications, and network architectures and algorithms for classification and optimization. He has authored/co-authored 8 journal papers and 14 conference articles and applied 6 patents till 2022. He has been a teaching assistant for 10 semesters at IIT Bombay, Gandhinagar and Varanasi in courses ranging from nanoelectronics, device physics, VLSI technology and neuromorphic engineering.
研究兴趣
论文共 39 篇作者统计合作学者相似作者
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Shreyas Deshmukh,Shubham Patil,Anmol Biswas,Vivek Saraswat,Abhishek Kadam, Ajay K. Singh, Laxmeesha Somappa, Maryam Shojaei Baghini,Udayan Ganguly
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS)pp.462-466, (2024)
CoRR (2024)
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Shreyas Deshmukh,Shubham Patil,Anmol Biswas,Vivek Saraswat,Abhishek Kadam, Ajay Kumar Singh,Laxmeesha Somappa, Maryam Shojaei Baghini,Udayan Ganguly
International Conference on Artificial Intelligence Circuits and Systemspp.462-466, (2024)
IEEE TRANSACTIONS ON ELECTRON DEVICESno. 4 (2024): 2380-2385
2023 INTERNATIONAL CONFERENCE ON SIMULATION OF SEMICONDUCTOR PROCESSES AND DEVICES, SISPADpp.201-204, (2023)
2023 7TH IEEE ELECTRON DEVICES TECHNOLOGY & MANUFACTURING CONFERENCE, EDTM (2023)
NEURAL NETWORKS (2023): 1050-1057
CoRRno. 10 (2023): 105008-105008
2023 7th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)pp.1-3, (2023)
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作者统计
#Papers: 36
#Citation: 77
H-Index: 5
G-Index: 8
Sociability: 4
Diversity: 2
Activity: 8
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