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Faculty Directory Shuvadeep Bhattacharjee
Shuvadeep Bhattacharjee

Shuvadeep Bhattacharjee

Assistant Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

Presently pursuing Ph.D in AKCSIT department from Calcutta University. Completed M.Tech in VLSI Design from Calcutta University.

Research Areas

Machine Learning Application in Embedded system

Research Interests

My research interests focus on FPGA-based system design for machine learning applications. I work on developing efficient hardware architectures for neural networks, emphasizing performance optimization, low latency, and energy efficiency. My interests include hardware acceleration of deep learning models, design space exploration, parallelism and pipelining techniques, and resource-aware mapping of algorithms onto FPGAs.

Courses Taught

Basic Electronics Engineering

Positions Held

Presently working as Assistant professor in BSH department, IEM Kolkata. Worked as Technical Assistant in ECE department from 2017-2019.

Publications

1. M. Debnath, S. Bhattacharjee, P. Ganguly, S. Mandal and A. Chakrabarti, "Efficient Task Graph Generation for DNN Inference on FPGA-based SoC Platforms," 2025 IEEE 38th International System-on-Chip Conference (SOCC) 2. Bhattacharjee, S., Ganguly, P., Mandal, S., Chakrabarti, A. (2024). Efficient Deep Learning Inference Engine on SoC Platform. In: Das, N., Khan, A.K., Mandal, S., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2023. Lecture Notes in Networks and Systems 3. Pal, R., Ganguly, P., Bhattacharjee, S., Mandal, S., Chakrabarti, A., Chatterjee, S. (2024). Accelerating Deep Neural Network-Based Image Analysis Using Reconfigurable Architecture. In: Kole, D.K., Roy Chowdhury, S., Basu, S., Plewczynski, D., Bhattacharjee, D. (eds) Proceedings of 4th International Conference on Frontiers in Computing and Systems. COMSYS 2023. Lecture Notes in Networks and Systems 4. Biswas, T., Bhattacharjee, S., Mandal, S.B., Saha, D., Chakrabarti, A. (2019). FPGA-Based Novel Speech Enhancement System Using Microphone Activity Detector. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing,