AVICK KUMAR DEY

About

Dr. Avick Kumar Dey is a distinguished professional in the realm of Computer Science, currently serving as an Associate Professor (CSE) & Associate Dean (UG&PG) at the Durgapur Institute of Advanced Technology & Management (DIATM). With a dynamic career spanning over a decade, Dr. Dey has seamlessly transitioned from a high-impact corporate background as a Project Manager to becoming a leading figure in Indian academia.

He previously held the significant roles of Assistant Professor and Head of the Department of Computer Application at DSMS College, Durgapur, where he was instrumental in shaping the department's research and development initiatives as a Project Manager for R&D (Technology).

Dr. Dey recently achieved a major academic milestone by completing his Ph.D. from the National Institute of Technology (NIT) Durgapur (March 2024), where his research focused on “A Study on Recommendation for Academic and Scientific Literature.” His expertise lies at the intersection of Data Science, Machine Learning, and Recommender Systems, with a prolific publication record in international journals and conferences covering AI-driven business analytics and healthcare innovations.

A versatile leader, Dr. Dey also serves on the editorial boards of prestigious academic journals and continues to contribute to the global tech community through his research into decentralized intelligence and human-centric data science.

Employment

• Durgapur Institute of Advanced Technology and Management Associate Professor
  2026 - Present

Education

• National Institute of Technology Durgapur PhD
  2016 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Correction: Improving recommendations utilizing users’ demographic information
  Quality & Quantity 2024 DOI: 10.1007/s11135-024-01919-5
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• Improving recommendations utilizing users’ demographic information
  Quality & Quantity 2024 DOI: 10.1007/s11135-024-01890-1
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• A Comparative Book Recommendation System using Apriori & FP Growth Algorithm Removing the Barriers of Time & Memory Constraint.
  2021 DOI: 10.21203/rs.3.rs-245630/v1
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• Distinctive author ranking using DEA indexing
  Quality & Quantity 2021 DOI: 10.1007/s11135-020-01018-1
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• AN EFFICIENT APRIORI ALGORITHM BASED INTELLIGENT BOOK RECOMMENDATION SYSTEM WITH FREQUENT PATTERN MINING
  IJPUBLICATION | IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138 2021
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• Recommender systems: an overview, research trends, and future directions
  International Journal of Business and Systems Research 2021 DOI: 10.1504/ijbsr.2021.111753
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• Real-Time Learner Classification Using Cognitive Score
  EPiC Series in Computing 2020 DOI: 10.29007/fn7b
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• Exploiting Marketing Value From Obsession: A Demographic- Based Seasonal Product and Service Recommendation For Online Facebook User
  International Conference on Business and Information Management 2016
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