-
Designation:Assistant Professor Department:Computer Science & Engineering Experience:18 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
Sl. No Level of Journal Name of Journal ISSN/ISBN No Title of paper Year/Vol/Page No 1 International Evolutionary Intelligence 1864-5909 FQPDR: federated quantum neural network for privacy-preserving early detection of diabetic retinopathy 2024/17/4047-4068 2 International International Journal of Grid and Distributed Computing 2005-4262 Shape Recognition Based on MapReduce and In-Memory Processing on Distributed File System 2018/11/21-30 3 International International Journal of Multimedia and Ubiquitous Engineering 1975-0080 Image retrieval process based on relevance feedback and ontology using decision tree 2015/10/83-90 4 International Contemporary Engineering Sciences 1314-7641 Heuristics and Intermediate Feature based Image Retrieval 2014/7/1731-1738 Seminar/Conference/workshop/Training
Sl. No Name of Conference Organized by Title of paper Year 1 1st International Conference on Machine Intelligence & Soft Computing Vignan’s Institute of Information Technology and VFSTR Deemed to be University A Random Forest based Leaf Classification using Multiple Features 2020 2 3rd International Conference on Smart Technologies in Data Science & Communication Vignan’s Institute of Information Technology A Shape based Model with Zone wise Hough Transformation for Handwritten Digit Recognition 2019 3 7th International Conference on Computing, Communication and Sensor Networks Applied Computer Technology Image Retrieval using Multiple Features and Spatial Relations of Image Segments 2018