Deepanjan Sen

About

Deepanjan Sen
BCA, MCA, Ph.D. in Computer Science (Pursuing)
Career Summary
• 8.5+ years of professional experience, includes Teaching (5 years), Research (2 years 11 months), Others (3 years 6 months)
• Currently serving as an Assistant Professor (Full Time) in the Department of Computer Applications at Dr. B. C. Roy Academy of Professional Courses (Formerly, Dr. B. C. Roy Engineering College), and a Doctoral Research Scholar (registered, part-time) at the University of North Bengal.
• Voluntarily serving as an Assistant Teacher (Contractual) in a Govt. Spon. School as a PGT (Computer Application).
• Voluntarily serving as Research Intern (Part-time) at the Ramakrishna Mission Vidyamandira (NAAC Accreditation: 'A++' Grade, NIRF 2025 Rank (College): 19th) under the principal supervision of Dr. Arindam Sarkar.
• Specializing in Geospatial Artificial Intelligence with a current Ph.D. thesis focused on flood susceptibility zonation using geospatial intelligence in the Teesta River Basin.
• Demonstrated excellence in research and publication, with peer-reviewed publications in Scopus-indexed journals, book chapters and conferences.
• Recognized with Outstanding Paper Presenter Award at 8th Regional Science and Technology Congress 2026 (Feb 2026) and Best Paper Award at ICTDSC-2024 (Nov 2024) and served as organizer and convenor in multiple national and international FDPs and seminars related to Computer Science, Data Science, GIS, and NAAC frameworks.
• Holds extensive technical project leadership experience, contributing as a team leader in over 6 significant academic software development projects.
• Holds strong multidisciplinary exposure, having worked in multiple roles, thus demonstrating organizational versatility and social commitment.
• Actively involved in community development and student mentorship, with voluntary teaching engagements at the higher secondary level and consistent contributions to institutional bodies (NAAC, IIC, Branding and Promotion, Project and Research Cell, Sports & Cultural Committees)
• Corporate Life Member of IETE, Member of CSI and Life member of IAENG, with a proven commitment to continuous learning, professional development, and interdisciplinary collaboration

Employment

• Ramakrishna Mission Vidyamandira Research Intern (Part Time & Voluntary Service) under the principal supervision of Dr. Arindam Sarkar
  2025 - Present
• Gopalmath High School (H.S.) Assistant Teacher (Contractual and Voluntary Service)
  2025 - Present
• University of North Bengal Ph.D. Research Scholar
  2023 - Present
• Dr. B. C. Roy Academy of Professional Courses (Formerly Dr. B. C. Roy Engineering College) Assistant Professor
  2023 - Present

Education

• University of North Bengal Ph.D. in Computer Science
  2023 - Present
• University of North Bengal Master of Computer Application (MCA)
  2013 - 2017
• Maulana Abul Kalam Azad University of Technology (formerly WBUT) Bachelor of Computer Application (BCA)
  2010 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Assessment of Flood Susceptibility in the Teesta River Basin: A Novel Deep Learning Framework with Hybrid Feature Selection
  2026 DOI: 10.1007/978-3-032-25176-3_19
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• Comprehending Diabetes Prediction: A Boruta-Driven Comparative Analysis of Boosting Algorithms
  2026 DOI: 10.1007/978-3-032-25176-3_20
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• Comparative Analysis of Heterogeneous Ensemble Models for Early Depression Prediction Among Undergraduates
  International Conference on Computing Intelligence and Application Ciacon 2025 2025 DOI: 10.1109/CIACON65473.2025.11189611
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• Enhanced Landslide Susceptibility Assessment Along Transport Infrastructures Through Hybrid Ensemble Learning Techniques
  2025 DOI: 10.1007/978-3-031-89246-2_15
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• Flood Susceptibility Assessment in the Teesta River Basin, India: An Advanced Geospatial Artificial Intelligence Approach Leveraging Spatial Data Augmentation
  SN Computer Science 2025 DOI: 10.1007/s42979-025-03836-2
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• Flood Susceptibility Zonation Using Geospatial Frequency Ratio and Artificial Neural Network Techniques within Himalayan Terai Region: A Comparative Exploration
  2025 DOI: 10.1007/978-3-031-81935-3_12
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• Flood Susceptibility in the Teesta River Basin: Unraveling the Potential of Standalone Versus Hybrid Stacking Ensembles with Spatial Data Augmentation
  2025 DOI: 10.1007/978-981-96-4543-5_42
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• Geospatial Landslide Susceptibility Zonation in Darjeeling-Kalimpong Hills Through Stacked-Averaging-Based Data-Driven Ensemble
  2025 DOI: 10.1007/978-981-96-4543-5_41
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• Geospatially augmented flood risk assessment incorporating machine learning approaches: a case study in the Teesta river basin
  Recent Trends in Engineering, Science and Technology 2025 DOI: 10.1201/9781003663348-47
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• Artificial Neural Network Based Trend Analysis and Forecasting Model for Course Selection
  International Journal of Computer Sciences and Engineering 2017 DOI: 10.5281/ZENODO.5226838
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