Samir Kumar Bandyopadhyay

About

Prof. (Dr.) Samir Kumar Bandyopadhyay is presently designated as Advisor to Chancellor, JIS University. He is also Senior Professor in the Department of Computer Science and Engineering of University of Calcutta. He did his Bachelor and Master Degree in Engineering Degree and Medical Science from University of Calcutta. Prof. Bandyopadhyay did three Ph.D. in Medical Science. First he did his Ph.D. in Cardiology from University of Calcutta. Prof. Bandyopadhyay also did his second Ph.d. on Breast Cancer from Bristol University, UK. Finally, he obtained his Ph.D. degree in Brain Tumor from MIT, USA. He served as Registrar, Vice-Chancellor of State University in India. His fields of research interest are:
Biomedical Image Processing, Biomedical Engineering, Mobile Computing, Pattern Recognition, Graph Theory, Image Processing, Handwritten Signature Verification, Graphical Password Verification, Steganography and Watermarking, Medical Imaging, Forensic Science, Crime Science
Till date Eighty scholars, who have worked with him, have received Ph. D. degrees, from India and abroad. He is a visiting Professor of more than 10 renowned University in the globe. He published more than 800 papers in National and International Journals. He has been teaching and research experience over 30 years. He has been associated with a number of National and International Professional Societies. Prof. Bandyopadhyay published the following books:
Books
• Data structure Using C Pearson publication
• Computer Science (Part I), Deep Prakashan publication
• Modern Computer Applications (Part I), Deep Prakashan publication
• Computer Science (Part II), Deep Prakashan publication
• Modern Computer Applications (Part II), Deep Prakashan publication
• C Programming Essentials Pearson Publication
• Basic Computation and Principles of Computer Programming(WBUT) by Pearson publication
• Computer Programming: For Sant Gadge Baba Amrabati University by Pearson publication
• Data and File Structures: For Gujrat Technological University by Pearson publication
• Fundamental of Computer Programming: by Pearson publication
• Computer Concept and Programming in C (for the GBTU) by Pearson publication
• Information Security and Assurance: 4th International Conference, ISA 2010, Japan, June 23-25, 2010, Proceedings (edited by Prof. Samir Kumar Bandyopadhyay)
• A Handbook on Computerised Tumour Classification from MRI of Brain, Lambert Academic Publication, Germany, 2015
• Analysis of Digital Histopathology Images for Breast Cancer Diagnosis, Oxford Press
• Brain Tumour Analysis and Detection, Lambert Academic Publication, Germany
• COVID-19- Validation of Disease by Machine Learning Approach, Academic Press, USA
• Machine Learning Based Analysis Detection of Malaria Disease, Lambert Academic Publication, Germany

Employment

• University of Calcutta Professor
  1983 - Present
• West Bengal University of Technology Vice-Chancellor
• West Bengal University of Technology Controller of Examinations
• West Bengal University of Technology Registrar
• University of Calcutta Inspector of Colleges
• West Bengal University of Technology Acting Vice-Chancellor
• Massachusetts Institute of Technology Ph.D.
• University of Calcutta Registrar
• JIS University Advisor to Chancellor
• The Bhawanipur Education Society College Academic Advisor
• University of Calcutta Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (78)

• Innovative Skin Disease Diagnosis: A Hybrid Learning Framework for Skin Cancer Detection
  2025 DOI: 10.1007/978-981-96-4539-8_6
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• A Novel Grammar-Based Approach for Patients’ Symptom and Disease Diagnosis Information Dissemination to Maintain Confidentiality and Information Integrity
  Bioengineering 2024 DOI: 10.3390/bioengineering11121265
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• A Comprehensive Assessment and Classification of Acute Lymphocytic Leukemia
  Mathematical and Computational Applications 2024 DOI: 10.3390/mca29030045
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• A Comprehensive Assessment And Classification Of Acute Lymphocytic Leukemia
  2024 DOI: 10.20944/preprints202404.1930.v1
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• A Predictive Modeling to Assess the Underlying Risks of Stroke
  2024 DOI: 10.1007/978-981-97-0700-3_50
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• Analysis of Big Data
  2023 DOI: 10.4018/978-1-7998-9220-5.ch006
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• Identifying Disease and Diagnosis in Females Using Machine Learning
  2023 DOI: 10.4018/978-1-7998-9220-5.ch187
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• A Graphical-Based Video Steganography for Information Security
  2023 DOI: 10.1007/978-981-19-0098-3_52
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• A Novel SARS-COV-2 Variant Omicron Disseminating Evaluation
  2023 DOI: 10.1007/978-981-19-9228-5_5
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• An Intelligent Approach for Investigating Water Quality Using Machine Learning Models
  2023 DOI: 10.1007/978-981-99-3963-3_5
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