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Dr. Soumadip Ghosh

Professor, Dept. of Computer Science & Engineering · Future Institute of Technology

https://researchid.co/soumadip.ghosh
@futureeducation.in
29Scopus Publications
699Google Scholar Citations
13Google Scholar h-index
14Google Scholar i10-index

Research Interests

MY research interests include Data Mining, Machine Learning, Deep Learning, Java and Web technologies, Cloud Computing, and the Internet of Things (IoT).

Biography

Prof. (Dr.) Soumadip Ghosh currently serves as a Professor and HOD in the Department of Computer Science and Engineering at Future Institute of Technology in Kolkata. He has over twenty-one years of experience in teaching and research. Previously, he held the position of Professor at Sister Nivedita University (Dept. of CSE) and the Institute of Engineering and Management (Dept. of CSE) in Kolkata. Before that, he also served as an Associate Professor at the Academy of Technology in Hooghly, West Bengal, India, and as an Assistant Professor at the College of Engineering and Management in Kolaghat, West Bengal, India.

Education

Prof. (Dr.) Soumadip Ghosh earned his PhD (Engineering) degree from the University of Kalyani, West Bengal, India, in 2017. He received his M. Tech (CSE) and B. Tech (CST) degrees from the University of Calcutta and the University of Kalyani in 2005 and 2002, respectively. He is a noted author in Java technology and has authored two books in that domain.

Recent Scopus Publications

  1. A Comparative Study on CNN and ConvSNN
    Lecture Notes in Networks and Systems, 2026
  2. Exploring Social Media Chatter during a Rumoring Phenomenon
    Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication Imcom 2025, 2025
  3. Fetal health risk prediction using ensemble-based machine learning approaches
    Knowledge and Information Systems, 2025
  4. DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
    Network Modeling Analysis in Health Informatics and Bioinformatics, 2024
  5. Brain stroke prediction model based on boosting and stacking ensemble approach
    International Journal of Information Technology Singapore, 2024

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