Ranit Baram
Computer Science & Engineering | CSE
Assistant Professor
Area of Specialization
Soft Computing, Data Mining and Data Warehousing, Machine Learning, AI, Deep Learning
Teaching Experience
2 Years
Academic Qualifications
M.E.: Jadavpur University, 2023
B.Tech.: Government College of Engineering and Textile Technology, Berhampore, 2021
Date of Joining 01-01-2024
Nature of Association Regular
International Conference Publications
- A. S. Gaadhe, B. P. Kumar, R. Baram, P. K. Lendale, B. R. Darshan and P. Singh, “A Deep Learning Approach to Track Real-Time Objects Using YOLO and DeepSORT for Next-Gen Security and Surveillance,” 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), Tirunelveli, India, 2025, pp. 1946-1951, doi: 10.1109/ICDICI66477.2025.11135019.
- R. Baram, S. Bose, N. Mandal, Overlapping Community Detection in Attributed Networks using NSGA II, in Proceedings of the International Conference on Artificial Intelligence and Sustainable Computing, Springer Nature, Singapore (In Press).
Patent:
A system for dynamic optimization of precision agriculture integrating
machine learning and mathematical models
Application No.: 202431013918 A
Publication Date: 08/03/2024
The Patent Office Journal No.: 10/2024 Dated 08/03/2024
International Association of Engineers (IAENG)
Participation in FDP:
- Participated in FDP on “Inculcating Universal Human Values in Technical Education”, AICTE, (May 13-May 17, 2024)
- Participated in FDP on Recent Trends and Applications in Data Science, Sister Nivedita University, Kolkata (February 26 – March 1, 2024)
- Participated in FDP on Artificial Intelligence, Machine Learning and Deep Learning, HIT, Haldia (February 19 – February 23, 2024)
- Participated in FDP on Python Programming with Django Framework for building Web Applications, CMREC, Hyderabad (February 12 – February 16, 2024)
- Participated in FDP on “FUTURE TRENDS IN MACHINE LEARNING AND DATA SCIENCE-DRIVEN IOT APPLICATIONS (FTMLDSA-IOT-2025)” HALDIA INSTITUTE OF TECHNOLOGY (March 10 to March 13, and March 17)
UG Projects:
- Stock Market Forecasting using Deep Learning
- A Novel Hybrid Image Steganography Technique
Gate qualified in 2021.
UGC NET qualified in 2023.
WBSET qualified in 2023.