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Sister Nibedita Government General Degree College for GirlsAffiliated to University of Calcutta | NAAC Accredited with B+ Grade; CGPA:2.7 (Cycle-1) | (Recognised under Section 2(f) of UGC Act, 1956)

An Institution for Undergraduate Studies in Science & Humanities
Under the Department of Higher Education, Govt. of West Bengal

Departments

Faculty Profile

Dr. Samit Bhanja, ASSISTANT PROFESSOR, Sister nibedita govt. general degree college for girls

Dr. Samit Bhanja WBES

Qualification

Ph.D. in Engineering,Aliah University, 2023
M.Tech in Computer Science & Engineering, WBUT, 2011

Contact Details :

ASSISTANT PROFESSOR
Department of Computer Science
E-Mail: samitbhanja@snggdcg.ac.in  

Teaching Experience :

  1. Assistant Professor (WBES) in Sister Nibedita Govt. General Degree College for Girls, Hastings House, Alipore, Kolkata from 10.01.2025 to till date.
  2. Assistant Professor (WBES) in Govt. General Degree College, Singur from 10.03.2015 to 09.01.2025

Research Interest:

  1. Machine Learning
  2. Deep Learning
  3. Pattern Recognition
  4. Generative AI

Publications:

Peer Reviewed Journal(s)

  1. Bhanja, Samit, and Abhishek Das. "A Black Swan event-based hybrid model for Indian stock markets’ trends prediction." Innovations in Systems and Software Engineering 20, no. 2 (2024): 121-135.
  2. Bhanja, Samit, and Abhishek Das. "Deep learning-based integrated stacked model for the stock market prediction." Int. J. Eng. Adv. Technol 9, no. 1 (2019): 5167-5174.
  3. Bhanja, Samit, and Abhishek Das. "An air quality forecasting method using fuzzy time series with butterfly optimization algorithm." Microsystem Technologies 30, no. 5 (2024): 613-623.
  4. Bhanja, Samit, Banani Ghose, and Abhishek Das. "Multi-Step-Ahead Time Series Forecasting using Deep Learning and Fuzzy Time Series-based Error Correction Method." Journal of Universal Computer Science (JUCS) 30, no. 11 (2024).
  5. Roy, Sandipan, Samit Bhanja, and Abhishek Das. "AndyWar: an intelligent android malware detection using machine learning." Innovations in Systems and Software Engineering 21, no. 1 (2023): 303-311.
  6. Bhanja, Samit, Santanu Metia, and Abhishek Das. "A hybrid neuro-fuzzy prediction system with butterfly optimization algorithm for PM2. 5 forecasting." Microsystem Technologies 28, no. 12 (2022): 2577-2592.
  7. Bhanja, Samit, and Abhishek Das. "A hybrid deep learning model for air quality time series prediction." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1611-1618.
  8. Bhanja, Samit, Santanu Metia, and Abhishek Das. "A Smart City Air Quality Data Imputation Method Using Markov Weights-Based Fuzzy Transfer Learning." IETE Journal of Research 69, no. 9 (2023): 5755-5763.

Book Chapter(s)

  1. Bhanja, Samit, and Abhishek Das. "Deep neural network for multivariate time-series forecasting." In Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2020, pp. 267-277. Springer Singapore, 2021.
  2. Bhanja, Samit, and Abhishek Das. "A deep learning framework to forecast stock trends based on black swan events." In Proceedings of International Conference on Innovations in Software Architecture and Computational Systems: ISACS 2021, pp. 221-235. Springer Singapore, 2021.
  3. Bhanja, Samit, and Abhishek Das. "Electrical power demand forecasting of smart buildings: A deep learning approach." In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020, pp. 71-82. Singapore: Springer Singapore, 2021.
  4. Zahedi, Mehboob, Md Iqbal, Samit Bhanja, Roseline O. Ogundokun, and Abhishek Das. "Innovative intelligent systems and applications: A Swarm intelligence perspective." In Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, pp. 41-87. Academic Press, 2024.
  5. Iqbal, Md, Roseline O. Ogundokun, Samit Bhanja, Souvik Sengupta, and Abhishek Das. "Machine Learning for Dementia and Alzheimer’s Disease Prediction." In International Conference on Emerging Applications of Information Technology, pp. 271-291. Singapore: Springer Nature Singapore, 2024.
  6. Iqbal, Md, Roseline O. Ogundokun, Samit Bhanja, and Souvik Sengupta. "Machine Learning for Dementia." Machine Learning for Social Transformation: Proceedings of EAIT 2024: 271.
  7. Ali, Dildar, Nitin Tiwari, Baisakhi Das, Samit Bhanja, and Abhishek Das. "Deep Learning Approaches to Improve Effectiveness and Efficiency for Time Series Prediction." In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020, pp. 251-266. Springer Singapore, 2021.

Awards:

  1. Second Runner-Up in Techie Track – ThinkTank Quiz Contest of INSPIRE – The Faculty Contest Series at Eastern Regional Level 2011-2012 organized by Infosys Limited.
  2. Received Best Paper Award in the International Conference Computing, Communication & Sensor Networks (CCSN2022) held at department of Computer Science and Applications, Utkal University, Bhbaneswar, Odisha.

Members in Professional body:

  1. Associate member of The Institution of Engineers (India)

Others:

  1. Google Scholar Link: https://scholar.google.com/citations?hl=en&user=x26bOjgAAAAJ