abhijit.banerjee@bcrec.ac.in |
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1984-05-16 |
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2009-04-16 |
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Electronics and Communication Engineering |
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Dr. Abhijit Banerjee has an extensive background in the fields of Electronics and Communication Engineering, Radiophysics, and Machine Learning. With a career spanning over a decade, Dr. Banerjee has been an Assistant Professor at Dr. B. C. Roy Engineering College in Durgapur, West Bengal, India, where responsibilities included teaching and research. Dr. Banerjee has also served as the In Charge of Texas Instruments Innovation Lab at BCREC, Durgapur, and AICTE IDEA LAB BCREC, Durgapur, focusing on research in AI, ML, DL, Robotics, product design, and innovation. Dr. Banerjee holds a Doctor of Philosophy degree from the National Institute of Technology, Durgapur, India, with a focus on Reinforcement Learning and Neuro Evolution. Further academic achievements include a Master of Technology in Radiophysics and Electronics from the Institute of Radio Physics and Electronics, University of Calcutta. Certifications include Professional Machine Learning Engineer from Google Inc. and AWS Certified Machine Learning - Specialty from Amazon.com, Inc. Dr. Banerjee's research interests encompass Machine Learning, Reinforcement Learning in Robotics, Generative Adversarial Networks, and Cognitive Robotics. Professional memberships include IEEE, IET, and CSI. |
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Machine Learning, Deep Reinforcement Learning, Generative Adversarial Networks, Digital Communications |
CCNA,CCSP,MCP (.NET),GATE
Teaching | Research | Industry |
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15 | 8 | 2 |
Digital Communication,Analog Communication,Artificial Neural Networks, Embedded Systems
Machine Learning, Deep Reinforcement Learning, Generative Adversarial Networks, Digital Communications
1. Best paper Award (A. Banerjee, D. Ghosh and S. Das, "Evolving Network Topology in Policy Gradient Reinforcement Learning Algorithms," 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1-5, doi: 10.1109/ICACCP.2019.8882916.)
2. Best paper award (Banerjee, A., Ghosh, D., Das, S. (2020). A Gamma-Levy Hybrid MetaHeuristic for HyperParameter Tuning of Deep Q Network. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_54)
3. Niominated for Leadership in Teaching Excellence (LITE)
Machine Learning, Deep Reinforcement Learning, Generative Adversarial Networks, Digital Communications