Have a Question about JIIT?
Chat with VIDYA
+91-9999912862+91-9999962128
searchImportant Announcements:
Admissions Open for 2026.Apply NowAnother Opportunity : Open House (Parent Interaction) on 13th June 2026.Register NowCareer OpeningsApplyRound-1 of 10+2 Marks Based Counselling Scheduled for 03 June 2026. Instructions
Academic Experts
Dr. Kapil Madan

Biography

Dr. Kapil Madan is currently serving as an Assistant Professor (Senior Grade) in the Department of Computer Science & Engineering and Information Technology at Jaypee Institute of Information Technology (JIIT), Noida. He earned his Ph.D. in Computer Science & Engineering from Punjab Engineering College (PEC), Chandigarh (2017–2021), following an M.E. in Software Engineering from Thapar Institute of Engineering & Technology (Patiala, 2010–2012), and a B.Tech in Computer Engineering from Kurukshetra University, Haryana (2004–2008) .

Dr. Kapil Madan has amassed over 12 years of combined teaching, research, and industry experience, working across several esteemed Indian institutions, including PEC Chandigarh, NIT Kurukshetra, and Sharda University. His research interests span Information Retrieval, deep web crawling, focused crawling, digital forensics, reinforcement learning, and blockchain.

He has published multiple peer-reviewed papers. Dr. Madan has also participated in numerous faculty development programs and workshops, including sessions on cyber security, full-stack engineering, blockchain, DevOps, data intelligence, AI tools, high-performance computing, and autonomous AI for sustainable development between 2019 and 2024 at JIIT and other institutions.

Research Highlights

Dr. Kapil Madan has actively contributed to research in artificial intelligence, deep web crawling, reinforcement learning, blockchain, and enterprise data systems. His work spans both theoretical development and practical implementation of AI-driven solutions.

One of his prominent research themes is the use of reinforcement learning in focused and deep web crawling. His paper titled “Crawling the Deep Web Using Asynchronous Advantage Actor Critic Technique”, published in the Journal of Web Engineering, proposes a deep reinforcement learning architecture for efficient and intelligent data retrieval from the deep web. Complementing this, his survey “Reinforcement Learning in Deep Web Crawling”, presented at the Doctoral Symposium on Computational Intelligence, systematically reviews RL-based crawling techniques and identifies challenges in query modeling and reward design.

Expanding beyond web crawling, Dr. Madan co-authored “Virtual Fitness Trainer using Artificial Intelligence”, presented at the 2024 International Conference on Contemporary Computing, which integrates AI and computer vision to develop intelligent, interactive fitness systems for realtime pose tracking and feedback.

In the realm of enterprise data management, his work on “Quantum Flow: Enterprise Data Orchestration and Processing Suite” introduces a scalable framework for data processing and orchestration tailored for modern businesses

Dr. Madan has also explored the impact of blockchain technologies, contributing to systematic reviews aimed at understanding its integration with secure data systems.

Through his research, Dr. Madan combines emerging technologies like AI, RL, blockchain, and data orchestration to address real-world challenges in web intelligence, fitness tech, and enterprise systems—demonstrating a commitment to interdisciplinary innovation.

Areas of Interest
  • Information retrieval
  • Deep web crawling
  • Focused crawling
  • Digital Forensics
  • Reinforcement learning
  • Blockchain
Publications
  • Kapil Madan and Rajesh Bhatia, “Ranked Deep Web Page Detection Using Reinforcement Learning and Query Optimization” International Journal on Semantic Web and Information Systems (IJSWIS) vol. 17 issue 4 (2021). (SCIE Indexed).
  • Kapil Madan and Rajesh Bhatia, “Crawling the Deep Web using Asynchronous Advantage Actor-Critic Technique” Journal of Web Engineering vol. 20 issue 3 (2021) pp. 879-902, (SCIE Indexed)
  • Kapil Madan and Rajesh Bhatia, “Reinforcement learning in deep web crawling: Survey”, Doctoral Symposium on Computational Intelligence (DOSCI, 2021), Institute of Engineering and Technology College, 6th March 2021, Advances in Intelligent Systems and Computing (AISC), Springer
  • Copyright entitled “Data Mining and analysis of Indian Origin Academicians in foreign Universities for exploring opportunities of academic interaction” with Dy. No. 15781/2017-COSW dated 10th January 2018 from Copyright Office, Government of India, Ministry of Commerce & Industry, Deptt. of Industrial Policy and Promotion.
  • Bhadouria, A., Gupta, P., Bindal, P., Madan, K., & Sonal, S. (2024, August). Automated Examination System using Machine Learning and Natural Language Processing. In Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing (pp. 752-761).
  • Gupta, L., Gurbuxani, S., & Madan, K. (2024, August). Virtual Fitness Trainer using Artificial Intelligence. In Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing (pp. 226-233).