Dr. Soumyajit Poddar is working with Electronics and Telecommunication Engineering Department, IIEST, Shibpur since July, 2025. He received the bachelor’s degree in electronics and communication engineering from VTU, Karnataka, in 2009, the master’s degree in VLSI Design from CU, Kolkata, in 2011 and the PhD degree in VLSI Design from IIEST, Shibpur, in 2016. Before joining IIEST, he was working as consultant in Electrolab, Kolkata. He was previously working as an Assistant Professor in the electronics and communication Department, IIIT, Guwahati, Assam from 2016-2022. His research interests include Embedded Systems, VLSI architectures, Machine Learning and Photonics.
Ph.D. (VLSI)
Dissertation: Design and Evaluation of Photonic Networks on Chip for Many-core Architectures,
IIEST Shibpur, Howrah
M. Tech. (VLSI Design)
Dissertation: An Open Platform for VLSI CAD
Department of Radio Physics and Electronics, Rajabazar Science College, Kolkata
B. Tech. (Electronics and Communication Engineering),
RV College of Engineering, Bangalore
His research interests include Embedded Systems, VLSI architectures, Machine Learning and Photonics.
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A. A. Shaikh, A. K. Mukhopadhyay, Soumyajit Poddar and S. Samui, Toward Robust and Accurate Myoelectric Controller Design Based on Multiobjective Optimization Using Evolutionary Computation, 24, 6418-6429, IEEE Sensors Journal, 2024
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A. Hazarika, N. Choudhury and Soumyajit Poddar, “Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices, Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices,, roximate, , 2024
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A. Hazarika, N. Choudhury and Soumyajit Poddar, “Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices, Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices,, roximate, , 2024
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A. A. Shaikh, A. K. Mukhopadhyay, Soumyajit Poddar and S. Samui, Toward Robust and Accurate Myoelectric Controller Design Based on Multiobjective Optimization Using Evolutionary Computation, 24, 6418-6429, IEEE Sensors Journal, 2024
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A. Hazarika, N. Choudhury and Soumyajit Poddar, “Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices, Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices,, roximate, , 2024
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A. Hazarika, N. Choudhury and Soumyajit Poddar, “Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices, Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices,, roximate, , 2024
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A. Thomas K, Soumyajit Poddar and H.K. Mondal, ?A CNN Hardware Accelerator Using Triangle based Convolution, 18, 1-23, ACM Journal on Emerging Technologies in Computing Systems (JETC), 2022
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B Purkayastha, Anakhi Hazarika, Amal Thomas K, Soumyajit Poddar, “Cardiac Anomaly Detection us, Cardiac Anomaly Detection using Embedded Attractors Reconstructed from Multichannel ECG,, , 2022
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B Purkayastha, Anakhi Hazarika, Amal Thomas K, Soumyajit Poddar, “Cardiac Anomaly Detection us, Cardiac Anomaly Detection using Embedded Attractors Reconstructed from Multichannel ECG,, , 2022
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A. Thomas K, Soumyajit Poddar and H.K. Mondal, ?A CNN Hardware Accelerator Using Triangle based Convolution, 18, 1-23, ACM Journal on Emerging Technologies in Computing Systems (JETC), 2022