Ts. Dr. Tarak Nandy

About

Dr. Tarak Nandy is a Senior Lecturer in the Department of Information Systems, Faculty of Computer Science and Information Technology (FCSIT), at the University of Malaya. His research interests include Artificial Intelligence, Machine Learning, Spatiotemporal Data Analytics, Intelligent Transportation Systems, Data Science, and AI-driven Smart City applications.

He is actively involved in interdisciplinary research focusing on real-time traffic congestion prediction, proactive road safety optimization, and applied AI solutions for societal impact. Dr. Nandy has experience in academic teaching, research supervision, scientific publication, and collaborative research projects. He is also interested in leveraging AI technologies for intelligent decision-making, sustainable urban development, and sports analytics.

His current research emphasizes adaptive AI frameworks, predictive analytics, and scalable intelligent systems for real-world applications.

Employment

• University of Malaya Senior Lecturer
  2026 - Present
• UCSI University
  2023 - 2026
• Lovely Professional University Assistant Professor
  2022 - 2023
• Universiti Malaya Graduate Research Assistant
  2019 - 2022
• Maldives Business School Associate Professor
  2014 - 2019
• Narula Institute of Technology Assistant Professor
  2012 - 2014

Education

• Universiti Malaya PhD
  2019 - 2022
• West Bengal University of Technology M. Tech
  2010 - 2012
• West Bengal University of Technology B. Tech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Prediction of Possible Outcomes using Big Data Analysis and Machine Learning
  2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) 2023 DOI: 10.1109/icaisc58445.2023.10200831
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• Authors’ Reply
  IEEE Sensors Journal 2022 DOI: 10.1109/JSEN.2022.3175591
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• A Secure, Privacy-Preserving, and Lightweight Authentication Scheme for VANETs
  IEEE Sensors Journal 2021 DOI: 10.1109/JSEN.2021.3097172
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• An Edge Assisted Secure Lightweight Authentication Technique for Safe Communication on the Internet of Drones Network
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3060420
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• An enhanced lightweight and secured authentication protocol for vehicular ad-hoc network
  Computer Communications 2021 DOI: 10.1016/J.COMCOM.2021.06.013
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• Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3072030
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• RFID Authentication Scheme Based on Hyperelliptic Curve Signcryption
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3069429
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• A stream position performance analysis model based on DDoS attack detection for cluster-based routing in VANET
  Journal of Ambient Intelligence and Humanized Computing 2020 DOI: 10.1007/s12652-020-02279-2
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• Vehicle Positioning System Based on Cubic Spline Interpolation UsingStatistical Analysis
  Journal of Engineering Technology and Applied Physics 2020 DOI: 10.33093/JETAP.2020.X1.1
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• Vehicle Location Prediction System Based on Historical Data
  TechRxiv 2020 DOI: 10.36227/TECHRXIV.12866978
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