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Darpan Anand

Professor · Chitkara University

https://researchid.co/darpan.anand
@chitkara.edu.in
69Scopus Publications
1337Google Scholar Citations
19Google Scholar h-index
38Google Scholar i10-index

Research Interests

Information Security, Computer Networks, Machine Learning, Blockchain

Biography

Prof. (Dr.) Darpan Anand is a Professor in the Computer Science Engineering Department at Chandigarh University, India with more than 17 years of experience in teaching, industry, and research. He is currently a member of the Board of Studies, a Member of the research Degree Committee, Outcome Based Education Coordinator, ABET Accreditation Coordinator, Research Coordinator, and the Coordinator of Projects in the Department of Computer Science, Chandigarh University. He teaches Computer Networks, Operating Systems, Cryptography & Network Security, Machine Learning, Robotics Process Automation, etc. His research interests include Information Security, e-governance, machine learning, Intelligent Information Processing, Evolutionary Algorithms, etc. He has guided several Ph.D. and PG Dissertations. He is an author/co-author of more than 50+research papers (indexed in SCI, ESCI, Scopus, etc.), 1 Textbook, 6 book chapters (IET, Springer, and Elsevier), 4 patents, SWAYAM MOOC courses,

Education

B.Tech., M.Tech., Ph.D.

Recent Scopus Publications

  1. Multi-Server Authentication and Key Agreement Protocol with Distributed Storage Utility
    Journal of Transformative Technologies and Sustainable Development, 2026
  2. Unified Dataset Creation and Model Enhancement Through MURA and LERA Integration
    Lecture Notes in Networks and Systems, 2026
  3. The Rise of Artificial Intelligence Agents in Medical Sciences
    Lecture Notes in Networks and Systems, 2026
  4. Application of Consensus Algorithms, Risk Control, and Application of Cryptographic Methods in Distributed Ledger-Based Blockchain Risk Control Technologies
    Lecture Notes in Networks and Systems, 2026
  5. A novel and efficient statistical and soft-computing intelligence integrated feature selection technique for human chronic diseases prediction
    Multimedia Tools and Applications, 2025

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