Dr. Subhabrata Banerjee
Professor & IEDC-ECE Coordinator
Academic Information
Ph.D, Jadavpur University, 2018
Research Areas
Research Interests
- Primary research focuses on the synergy between Soft Computing and Robotics to develop autonomous systems capable of navigating complex, uncertain environments.
- By integrating Machine Learning & Deep Learning with Evolutionary Computation, aim to optimize heuristic search patterns and neural architectures for real-time decision-making.
- Additionally, explore Error Control Coding to enhance data integrity in high-stakes robotic communication links, ensuring robust performance against noise.
- Multi-disciplinary approach strives to create resilient, adaptive intelligent systems that bridge the gap between theoretical computational intelligence and practical, reliable robotic deployment.
Courses Taught
Positions Held
IEEE Senior Member
Project lead in Cognizant Technology Solution India Pvt. Ltd.
Publications
• Journals
1. Subhabrata Banerjee, Sudipta Chattopadhyay, “Power Optimization Of Three Dimensional Turbo Code Using A Novel Modified Symbiotic Organism Search (MSOS) Algorithm”, Wireless Personal Communications (1.061), Springer. Aug 2016; vol.92, no.3, pp.941–968. doi: 10.1007/S11277-016-3586-0.
2. Subhabrata Banerjee, Sudipta Chattopadhyay, “Evaluation of System Performance by Adding a Fourth Dimension to Turbo Code”, International Journal of Communication Systems, Wiley (IF: 1.319), October 2017; vol.31, no.2, e3450. doi:10.1002/DAC.3450.
3. Subhabrata Banerjee, Sudipta Chattopadhyay, “Performance Analysis of Four Dimensional Turbo Code (4D-TC) using Moment based Simplified Augmented State Diagram (MSASD) Approach: Extension to LTE System”, Wireless Personal Communications (1.061), Springer, May 2019, vol.108, no.4, pp.2077-2102. doi:10.1007/s11277-019-06510-y
4. Subhabrata Banerjee, Sudipta Chattopadhyay, “Superposition Modulation Based New Structure of Four-Dimensional Turbo Code (4D-TC) using Modified Interleaver and its Application in WiMAX & LTE Systems”, Personal and Ubiquitous Computing (IF: 2.212), Springer, Aug 2019, vol.17, no.6, pp.1061-1314, doi: 0.1007/s00779-019-01295-0.
• Book
1. M. Katamaneni, Dr. Subhabrata Banerjee, Dr. S. Meenakshi, Dr. K. N. Devi “Genetic Algorithms and Machine Learning For Python Programmers”, Scientific International Publishing House (SIPH), 2022, ISBN: 978-93-5625-314-8.
2. P.Muniganti, Dr. Subhabrata Banerjee, S. Borase, P. Anupriya “Hands on data Visualization Using Python”, Scientific International Publishing House (SIPH), 2023, ISBN: 978-93-5757-344-3.
3. Subhabrata Banerjee “C++ Chronicles: Epic Adventures in the Galaxy of Coding”, Gyanvi Publication (2024), ISBN: 978-81-9601-118-5.
4. Subhabrata Banerjee “Python Odyssey: Solving The Mysteries of Programming”, Gyanvi Publication (2024), ISBN: 978-81-9727-398-8.
5. Subhabrata Banerjee “C++ Chronicles: Epic Adventures in the Galaxy of Coding Solution”, Gyanvi Publication (2024).
• Book Chapter
1. Subhabrata Banerjee, Sudipta Chattopadhyay, “A Novel Modified Ant Lion Optimizer Algorithm: Extension to Proposed 4D-TC”, Swarm Intelligence Volume 2: Innovation, new algorithms and methods, Author: Dr Ying Tan (Ed.) IET, 2018, ISBN: 978-1-78561-629-7.
2. Subhabrata Banerjee, Sumit Saha, and Sanchita Hazra, “A Mawkishness Model Using LSTM With Word2Vec and RAVDESS Data for Multi-Language Provision and Voice Appreciation With Noise Lessening Competence”, in proceedings of Interdisciplinary Research in Technology & Management (IRTM 2023), April 20-23, 2023.
3. Subhabrata Banerjee, Diptangsu Gupta, Biswanath Ghosh and Anirban Kar, “Amended Q-Learning Procedure: Application in Optimal Path Recognition”, in proceedings of Interdisciplinary Research in Technology & Management (IRTM 2023), April 20-23, 2023.