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Dr. Partha Ghosh

Associate Professor, Department of Computer Science and Engineering · Academy of Technology

https://researchid.co/pghosh44
@aot.edu.in
40Scopus Publications
221Google Scholar Citations
9Google Scholar h-index
8Google Scholar i10-index

Research Interests

Business Intelligence

Biography

Dr. Partha Ghosh is working as an Associate Professor in the Department of Computer Science and Engineering at Academy of Technology under Maulana Abul Kalam Azad University of Technology, West Bengal, India. He completed his Ph.D. (Tech.) in Information Technology in the year of 2023 from the University of Calcutta, Kolkata, India. Prior to this, Dr. Ghosh completed his M.Tech. in 2013 from the same university. He has published more than 30 research articles in various reputed peer-reviewed journals, international conferences, and book chapters. Dr. Ghosh has served as a reviewer for numerous international conferences and has been a member of the technical program committees for several international conferences. Additionally, he is a lifetime member of IETE. His research areas include Optimization Techniques, Data Warehousing, Big Data Analysis, Machine Learning, and Business Intelligence.

Education

M.Tech. and Ph.D (Tech.) from University of Calcutta.

Recent Scopus Publications

  1. A Study of Genome Compression Algorithms for Industrial Versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats
    Lecture Notes in Networks and Systems, 2026
  2. DropWrap: A Neural Network Based Automated Model for Managing Student Dropout
    International Journal of Networked and Distributed Computing, 2025
  3. An Interactive Question Answer Based System on Alzheimer’s Disease Using Retrieval Augmented Generation
    Communications in Computer and Information Science, 2025
  4. CureCast: A Personalized Health Monitoring Model Utilizing Machine Learning Algorithms
    Proceedings 29th IEEE Acis International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Snpd 2025 Summer, 2025
  5. Lagged Co-movement Prediction of Sectoral Indices in Stock Market using Frequent Itemset Mining
    2025 IEEE Acis 23rd International Conference on Software Engineering Research Management and Applications SERA 2025 Proceedings, 2025

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