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ARNAB  BANERJEE

Assistant Professor

About

arnab.banerjee@bcrec.ac.in

1989-10-26

2023-07-01

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Doletala Bankura Benikutir- 29A/1 Dist: Bankura Pincode: 722101 P.O: Bankura State: West Bengal Country: India

Devoted to lifelong learning and developing engineering applications in thrust areas of computer science. My top choice has always been to use machine learning, especially deep learning techniques, to tackle intriguing engineering problems. Able to work in a team environment as well as using own interest in strict deadlines.

Artificial Intelligence, Machine Learning, Deep Learning, Image analysis and pattern recognition.

Qualifications

Educational Qualifications
  • PhD. (Pursuing) in Computer Science and Engineering
  • JADAVPUR UNIVERSITY - 2019 - present
  • ME in Computer Science and Engineering
  • JADAVPUR UNIVERSITY - 2013-2015
  • B.Tech in Computer Science and Engineering
  • MAKAUT (Formerly WBUT) - 2007-2011
Teaching and R & D experience
Teaching Research Industry
11.7 Years 4 Years NA

Assistant Professor in Computer Science and Engineering (Artificial Intelligence and Machine Learning)- Dr. B. C. Roy Engineering College (July 2023- Present)

Research Scholar in Computer Science and Engineering- Jadavpur University (June 2019- Present)

Lecturer in Computer Science and Technology- Dr. B. C. Roy Polytechnic (June 2015- June 2023)

Lecturer in Computer Science and Technology- Santiniketan Institute of Polytechnic (Dec 2011- June 2015)

Theory of Computation, Data structure and Algorithms, Machine Learning, Operating System, Python Programming.

Artificial Intelligence, Machine Learning, Deep Learning, Image analysis and pattern recognition.

Activities

Publications

Journal
Year
Journal DOI/Link/Web Link/UGC Link
2020 Banerjee, A., Das, N. & Santosh, K.C. Weber local descriptor for image analysis and recognition: a survey. Vis Comput 38, 321–343 (2022). https://doi.org/10.1007/s00371-020-02017-x DOI Link Web Link
2022 Arnab Banerjee, Arijit Das, Samarendra Behra, Debotosh Bhattacharjee, Nagesh Talagunda Srinivasan, Mita Nasipuri, Nibaran Das,. Carp-DCAE: Deep convolutional autoencoder for carp fish classification, Computers and Electronics in Agriculture, Volume 196,2022,106810,ISSN 0168-1699, https://doi.org/10.1016/j.compag.2022.106810. DOI Link Web Link
Conference
Year
Conference National/International DOI/Link/Web Link/UGC Link
2023 A. Banerjee, D. Bhattacharjee, N. Das, S. Behra and N. T. Srinivasan, "CARP-YOLO: A Detection Framework for Recognising and Counting Fish Species in a Cluttered Environment," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170475. International DOI Link Web Link
2023 Sinha, S. et al. (2023). Deep Learning-Based Identification of Vegetable Species: System for Specially Abled Persons. In: Bhateja, V., Yang, XS., Lin, J.CW., Das, R. (eds) Evolution in Computational Intelligence. FICTA 2022. Smart Innovation, Systems and Technologies, vol 326. Springer, Singapore. https://doi.org/10.1007/978-981-19-7513-4_36 International DOI Link Web Link
2022 Banerjee, A., Chakraborty, R., Behra, S., Srinivasan, N.T., Bhattacharjee, D., Das, N. (2022). Deep Learning Based Identification of Three Exotic Carps. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-19-3089-8_40 International DOI Link Web Link
2022 Banerjee, A., Paul, S., Priya, T., Rohit, A., Das, N. (2023). A Deep Learning-Powered Voice-Enabled Math Tutor for Kids. In: Santosh, K., Goyal, A., Aouada, D., Makkar, A., Chiang, YY., Singh, S.K. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2022. Communications in Computer and Information Science, vol 1704. Springer, Cham. https://doi.org/10.1007/978-3-031-23599-3_31 International DOI Link Web Link
2017 Banerjee, A., Das, N., Nasipuri, M. (2017). Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor. In: Santosh, K., Hangarge, M., Bevilacqua, V., Negi, A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-4859-3_26 International DOI Link Web Link

Participations

Participation In Seminar / Conference / Symposium / Workshop / Discussion Meeting

SL. No. Event Duration Year
1 4th International Conference for Emerging Technology (INCET). May 26-28, 2023 2023
2 5th International Conference, Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2022), Kingsville, TX, USA. December 01–02, 2022 2022
3 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications(FICTA 2022) June 18-19, 2022 2022
4 4th International Conference on Computational Intelligence in Pattern Recognition April 12-14, 2022 2022
5 3 Day National level workshop on “Intelligent Automation through Artificial Intelligence, Machine Learning and Deep Learning” June 28-30, 2021 2021
6 Workshop on Dart Programming Language July 27, 2020 2020
7 THINK AI: The IEEE machine learning summit April 28-29, 2019 2019
8 1st International Conference, Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2016), Bidar, India. December 16–17, 2016 2016
Participation In Faculty Development Programmes
SL. No. Name Type Duration
1 Emerging Trends and Technologies in Computer Science Online 22-06-2023 - 24-06-2023
2 Artificial Intelligence and Machine Learning Online 15-02-2022 - 19-02-2022
3 Applications of Machine Learning Online 22-02-2022 - 26-02-2022
4 Outcome Based Educations and Teaching Learning Process Online 27-10-2021 - 29-10-2021
5 Deep Learning for Visual Computing and Communication (Sponsored by Electronics and ICT academy at National Institute of Technology Patna) Online 15-10-2020 - 21-10-2020
6 Data Science for Societal Development Online 16-09-2020 - 20-09-2020
7 Joint Online Faculty Development Programme “Data Science for All”- (Supported by Ministry of Electronics and Information Technology, MeitY, Govt. of India.) Online 27-07-2020 - 08-08-2020
8 Quality Education Through OBE (Sponsored by AICTE) Online 13-07-2020 - 17-07-2020
Participation In Administrative Committees
SL. No. Post Committee Year
1 MAR and MOOCS Departmental Coordinator- CSE (AIML) MAR and MOOCS July 2023- present
2 Examination Cell Departmental Coordinator- CSE(AIML) Examination Cell July 2023- present

Thesis Supervised

Patent