Dr. Soumadip Ghosh

@futureeducation.in

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

Dr. Soumadip Ghosh


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https://researchid.co/soumadip.ghosh
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.

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Software
29

Scopus Publications

699

Scholar Citations

13

Scholar h-index

14

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • A Comparative Study on CNN
    S Chakraborty, P Paul, S Ghosh
    Proceedings of International Conference on Computational Intelligence, Data … , 2026
    2026
  • Fetal health risk prediction using ensemble-based machine learning approaches: S. Mondal et al.
    S Mondal, R Maity, A Nag, S Ghosh
    Knowledge and Information Systems 67 (8), 7227-7261 , 2025
    2025
    Citations: 2
  • A Comparative Study on CNN and ConvSNN
    S Chakraborty, P Paul, S Ghosh
    International Conference on Computational Intelligence, Data Science and … , 2025
    2025
  • Exploring Social Media Chatter during a Rumoring Phenomenon
    A Pal, S Ghosh, P Paul
    2025 19th International Conference on Ubiquitous Information Management and … , 2025
    2025
  • DeMoS: Dense module based gene signature detection through quasi-clique: An application to cervical cancer prognosis
    S Saha, S Seth, S Ghosh, G Qin, T Bhadra, SK Pati, S Chakraborty, ...
    Network Modeling Analysis in Health Informatics and Bioinformatics 13 (1), 36 , 2024
    2024
    Citations: 4
  • Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain
    S Mallik, A Bandyopadhyay, R Hu, PK Singh, S Ghosh, S Swain
    CRC Press , 2024
    2024
    Citations: 3
  • An efficient computational risk prediction model of heart diseases based on dual-stage stacked machine learning approaches
    S Mondal, R Maity, Y Omo, S Ghosh, A Nag
    IEEE Access 12, 7255-7270 , 2024
    2024
    Citations: 60
  • Brain stroke prediction model based on boosting and stacking ensemble approach
    S Mondal, S Ghosh, A Nag
    International Journal of Information Technology 16 (1), 437-446 , 2024
    2024
    Citations: 57
  • A comprehensive view on the progress of organoid research with an emphasis on its relevance to disease characterization
    C Kishore, V Ji, S Mallik, A Mukherji, N Tomar, SK Pati, AM Li, ...
    Biomedical and Environmental Sciences 36 (10), 959-971 , 2023
    2023
    Citations: 2
  • A New Language‐Generating Mechanism of SNPSSP
    P Paul, S Ghosh, A Pal
    Mathematics and Computer Science Volume 1, 435-453 , 2023
    2023
  • Thyroid Disease Prediction Model on Boosting-based Stacking Ensemble Approach
    S Mondal, S Dutta, S Ghosh, S Gupta, D Kakati, A Nag
    2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 1-6 , 2023
    2023
    Citations: 1
  • Watson-Crick grammar and its label languages
    P Paul, S Ghosh, A Mandal
    2023 IEEE 13th Annual Computing and Communication Workshop and Conference … , 2023
    2023
  • 3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection
    S Mallik, A Sarkar, S Nath, U Maulik, S Das, SK Pati, S Ghosh, Z Zhao
    Frontiers in Genetics 14, 1095330 , 2023
    2023
    Citations: 1
  • Early prediction of coronary heart disease using boosting-based voting ensemble learning
    S Mondal, R Maity, YR Singh, S Ghosh, A Nag
    2022 IEEE Bombay Section Signature Conference (IBSSC), 1-5 , 2022
    2022
    Citations: 8
  • Detection of chronic kidney disease using neuro-fuzzy rule-based classifier
    S Das, A Hazra, SK Pati, S Ghosh, S Mallik, S Banerjee, A Mukherji, A Li, ...
    2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM … , 2022
    2022
    Citations: 1
  • Feature selection, machine learning and deep learning algorithms on multi-modal omics data
    S Das, S Ghosh, S Mallik, G Qin
    Artificial Intelligence Technologies for Computational Biology, 305-322 , 2022
    2022
    Citations: 6
  • Evaluation and optimization of biomedical image-based deep convolutional neural network model for covid-19 status classification
    S Ghosh, S Banerjee, S Das, A Hazra, S Mallik, Z Zhao, A Mukherji
    Applied Sciences 12 (21), 10787 , 2022
    2022
    Citations: 6
  • Using Machine Learning for Obesity Level Estimation
    S Ghosh, A Pal, P Paul
    Applications of Machine intelligence in Engineering, 351-358 , 2022
    2022
  • On label languages of homogeneous variant of SNPSSP (HSNPSSP)
    P Paul, S Ghosh
    2022 IEEE 12th annual computing and communication workshop and conference … , 2022
    2022
    Citations: 5
  • A comparative study of different classification techniques for sentiment analysis
    S Ghosh, A Hazra, A Raj
    Research anthology on implementing sentiment analysis across multiple … , 2022
    2022
    Citations: 24

MOST CITED SCHOLAR PUBLICATIONS

  • Mining frequent itemsets using genetic algorithm
    S Ghosh, S Biswas, D Sarkar, PP Sarkar
    arXiv preprint arXiv:1011.0328 , 2010
    2010.0
    Citations: 106
  • A novel Neuro-fuzzy classification technique for data mining
    S Ghosh, S Biswas, D Sarkar, PP Sarkar
    Egyptian Informatics Journal 15 (3), 129-147 , 2014
    2014.0
    Citations: 83
  • Sentiment analysis in the light of LSTM recurrent neural networks
    S Pal, S Ghosh, A Nag
    International Journal of Synthetic Emotions (IJSE) 9 (1), 33-39 , 2018
    2018.0
    Citations: 82
  • A comparative study of breast cancer detection based on SVM and MLP BPN classifier
    S Ghosh, S Mondal, B Ghosh
    2014 first international conference on automation, control, energy and … , 2014
    2014.0
    Citations: 79
  • An efficient computational risk prediction model of heart diseases based on dual-stage stacked machine learning approaches
    S Mondal, R Maity, Y Omo, S Ghosh, A Nag
    IEEE Access 12, 7255-7270 , 2024
    2024.0
    Citations: 60
  • Brain stroke prediction model based on boosting and stacking ensemble approach
    S Mondal, S Ghosh, A Nag
    International Journal of Information Technology 16 (1), 437-446 , 2024
    2024.0
    Citations: 57
  • A comparison between different classifiers for tennis match result prediction
    S Ghosh, S Sadhu, S Biswas, D Sarkar, PP Sarkar
    Malaysian Journal of Computer Science 32 (2), 97-111 , 2019
    2019.0
    Citations: 28
  • A comparative study of different classification techniques for sentiment analysis
    S Ghosh, A Hazra, A Raj
    Research anthology on implementing sentiment analysis across multiple … , 2022
    2022.0
    Citations: 24
  • Weather data mining using artificial neural network
    S Ghosh, A Nag, D Biswas, JP Singh, S Biswas, D Sarkar, PP Sarkar
    2011 IEEE Recent Advances in Intelligent Computational Systems, 192-195 , 2011
    2011.0
    Citations: 22
  • A Tutorial on Different Classification Techniques for Remotely Sensed Imagery Datasets
    S Ghosh, S Biswas, D Sarkar, PP Sarkar
    Smart Computing Review 4 (1), 34-43 , 2014
    2014.0
    Citations: 21
  • Soil Classification From Large Imagery Databases Using a Neuro-Fuzzy Classifier
    Soumadip Ghosh, Debasish Biswas, Sushanta Biswas, Debasree Sarkar, Partha ...
    Canadian Journal of Electrical and Computer Engineering 39 (4), 333-343 , 2016
    2016.0
    Citations: 19
  • Network anomaly detection using a fuzzy rule-based classifier
    S Ghosh, A Pal, A Nag, S Sadhu, R Pati
    Computer, Communication and Electrical Technology, 61-65 , 2017
    2017.0
    Citations: 18
  • Breast Cancer Detection using a Neuro-fuzzy based Classification Method
    S Ghosh, S Biswas, D Chanda, PP Sarkar
    Indian Journal of Science and Technology 9, 14 , 2016
    2016.0
    Citations: 14
  • Association rule mining algorithms and Genetic Algorithm: A comparative study
    S Ghosh, S Biswas, D Sarkar, PP Sarkar
    2012 Third International Conference on Emerging Applications of Information … , 2012
    2012.0
    Citations: 11
  • Early prediction of coronary heart disease using boosting-based voting ensemble learning
    S Mondal, R Maity, YR Singh, S Ghosh, A Nag
    2022 IEEE Bombay Section Signature Conference (IBSSC), 1-5 , 2022
    2022.0
    Citations: 8
  • A comparative study to the bank market prediction
    S Ghosh, A Hazra, B Choudhury, P Biswas, A Nag
    International Conference on Machine Learning and Data Mining in Pattern … , 2018
    2018.0
    Citations: 7
  • Feature selection, machine learning and deep learning algorithms on multi-modal omics data
    S Das, S Ghosh, S Mallik, G Qin
    Artificial Intelligence Technologies for Computational Biology, 305-322 , 2022
    2022.0
    Citations: 6
  • Evaluation and optimization of biomedical image-based deep convolutional neural network model for covid-19 status classification
    S Ghosh, S Banerjee, S Das, A Hazra, S Mallik, Z Zhao, A Mukherji
    Applied Sciences 12 (21), 10787 , 2022
    2022.0
    Citations: 6
  • Real Time Sentiment Analysis
    S Palit, S Ghosh
    International Journal of Synthetic Emotions (IJSE) 11 (1), 27-35 , 2020
    2020.0
    Citations: 6
  • pres: italics> et al</pres: italics>.(2004)
    DK Biswas, Q Shi, S Baily, I Strickland, S Ghosh, AB Pardee
    Proc Natl Acad Sci USA 101, 10137-11042 , 0
    Citations: 6