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Designation:Assistant Professor Department:Computer Science & Engineering Experience:25 Years Specialization:Quantum Machine Learning
Dipankar Hazra, received BCSE degree on 1998, and MTech degree on 2007 from Jadavpur University. He has 22 years of experience in teachng and 3 years of industry experience. He is currently working as Assistant Professor and HOD of Department of Computer Science & Engineering, OmDayal Group of Institutions. His area of interest is DBMS, OOP, Machine Learning, Formal Language & Automata Theory. He is currently doing research in Quantum Machine Learning.
Research & Publications
- Mahua Nandy Pal, De, Debashis and Dipankar Hazra.”Quantum Machine Learning Applications to Medical Images: A Survey”, IET Quantum Communication.
- De, Debashis, Mahua Nandy Pal, and Dipankar Hazra. "QROP: Quantum Learning‐Based Identification of Retinopathy of Prematurity." IET Quantum Communication 6.1 (2025): e70008.
- De, Debashis, Mahua Nandy Pal, and Dipankar Hazra. "FQPDR: federated quantum neural network for privacy-preserving early detection of diabetic retinopathy." Evolutionary Intelligence 17.5 (2024): 4047-4068.
- Hazra, Dipankar. "Shape recognition based on mapreduce and in-memory processing on distributed file system." International Journal of Grid and Distributed Computing (2018).
- Hazra, Dipankar, Debnath Bhattacharyya, and Kil-hwan Shin. "Heuristics and Intermediate Feature based image retrieval." Contemporary Engineering Sciences 7.32 (2014): 1731-1738.
Seminar/Conference/workshop/Training
- Hazra, Dipankar, Debnath Bhattacharyya, and Tai-hoon Kim. “A random forest-based leaf classification using multiple features.” Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020. Singapore: Springer Singapore, 2021. 227-239.
- Hazra, Dipankar, and Debnath Bhattacharyya. “A Shape-Based Model with Zone-Wise Hough Transformation for Handwritten Digit Recognition.” Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2019. Singapore: Springer Singapore, 2020. 23-33.
