Dr. Abhijit Banerjee

Assistant Professor

About

Email	abhijit.banerjee@bcrec.ac.in
Date of birth	1984-05-16
Date of joining	2009-04-16
Department	Electronics and Communication Engineering
Address
Vidwan ID
About Me	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.
Specialization / Research Interest	Machine Learning, Deep Reinforcement Learning, Generative Adversarial Networks, Digital Communications

Qualifications

Educational Qualifications

PHD
National Institute of Technology,Durgapur - 2020
M.Tech
Institute of RadioPhysics and electronics,University of Calcutta - 2008
B.Tech
MAKAUT - 2006

Examination Cleared

GATE

Other Examination Cleared

CCNA,CCSP,MCP (.NET),GATE

Teaching and R & D experience

Teaching	Research	Industry
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)

Activities

Area of Interest

Machine Learning, Deep Reinforcement Learning, Generative Adversarial Networks, Digital Communications

Publications

Journal

Date	Title	Journal	DOI	Link
01-03-2024	Optimizing IPL Squad Composition: A Mathematical Framework for Efficient Team Selection on a Limited Budget in a Multi-Criteria, Multi Objective Environment	International Journal of Data Analysis Techniques and Strategies	DOI	View
09-05-2022	A review of SQLI detection strategies using machine learning	International Journal of Health Sciences	DOI	View
11-03-2021	Hyper-parameter tuned deep q network for area estimation of oil spills: a meta-heuristic approach	Evolutionary Intelligence	DOI	View
15-09-2020	Modelling the steel microstructure knowledge for in-silico recognition of phases using machine learning	Materials Chemistry and Physics	DOI	View
03-08-2019	Grain boundary detection and phase segmentation of SEM ferrite–pearlite microstructure using SLIC and skeletonization	Journal of The Institution of Engineers (India): Series D	DOI	View
28-12-2018	Modified firefly algorithm for area estimation and tracking of fast expanding oil spills	Applied Soft Computing	DOI	View
09-05-2014	AHP-Neural Network Based Player Price Estimation in IPL	International Journal of Hybrid Information Technology	DOI	View

Conference

Date	Title	Conference	DOI	Link
23-01-2023	XSS filter detection using trust region policy optimization	2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)	DOI	View
25-02-2019	Evolving network topology in policy gradient reinforcement learning algorithms	2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP)	DOI	View
18-08-2019	A Gamma-Levy Hybrid MetaHeuristic for HyperParameter Tuning of Deep Q Network	Computational Intelligence in Pattern Recognition	DOI	View
12-11-2018	Evaluation of Reverse Ellitism Firefly Algorithm on the CEC2013 Real Parameter Single Objective Optimization Benchmark Functions	2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)	DOI	View
05-05-2023	NeuroEvolution-based hyperparameter tuning for reinforcement learning in SDN computation offloading	7th IET Smart Cities Symposium (SCS 2023)	DOI	View

Book Chapters

Date	Title	Book Title	Editor	ISBN	DOI	Link
19-01-2025	AI in Vocational Education and Training: Technologies and Applications	Transforming Vocational Education and Training Using AI	Eriona Çela (University of New York Tirana, Albania), Narasimha Rao Vajjhala (University of New York Tirana, Albania), Rajasekhara Mouly Potluri (Kazakh-British Technical University, Kazakhstan), and Philip Eappen (Cape Breton University, Canada)	9798369382523	DOI	View

Participations

Faculty Development Programmes

Start Date	End Date	Title	Organizer
15-04-2024	20-04-2024	Big Data Analysis, Visualization, and Machine Learning	Department of Computer Science and Design, Dr. B. C. Roy Engineering College, Durgapur
01-01-2025	22-02-2025	Advanced IT Automation with Python	Google/Coursera
20-01-2025	25-01-2025	CryptoGenX: Empowering Future AI with Cyber Risk	Department of Computational Sciences, Brainware University

Highlights

Faculty-Details