KULDEEP CHOUHAN
Sharda University, Dr. M.G.R. Educational and Research Institute
About
Dr. Kuldeep Chouhan, is currently working as a Professor in the Department of Computer Science and Applications in the School of Engineering and Technology, Sharda University, India. Dr. Chouhan obtained his doctorate from Dr. M. G. R. Educational and Research Institute University, Chennai in the Department of Computer Science and Engineering with a specialization in Computer Networking in the year 2014. He was one of the youngest scholars of the university in the Engineering and Technology discipline. He is having about 17 years of teaching and research experience in various prestigious educational institutions. His area of interest is Wireless Network, Machine Learning, Speech Recognition and Natural Language Processing, and Sentiment Analysis. Dr. Chouhan has published around 70 journals, Conferences and Book chapters in SCI, Scopus, Web of Science, and UGC Listed. He is a Member of the editorial board/review committee in many International/National journals and served as a program/organizing committee member for organizing several conferences (Reviewer of various SCI and Scopus journals such as Emerald, Tech Science, Elsevier, IEEE, Hindawi, InderScience, etc. He has conducted and attended several Faculty Development Programs, Workshops, Session Chair, Seminar/ Webinars and Guest Lectures in various educational institutions at national and international levels.
Employment
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Sharda University Professor2023 - Present
Education
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Dr. M.G.R. Educational and Research Institute Ph.D.
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- RETRACTED: Pandian et al. Improving Efficiency of Large RFID Networks Using a Clustered Method: A Comparative Analysis. Electronics 2022, 11, 2968 Save
- Brain-Computer Interface-Controlled Smartphones for Streamlined Organizational Data Management Save
- Computer-Brain Interface in Economics Save
- Brain-Computer Interface in Social Science Research Save
- AI-Based Economic Models for Evaluating Vehicle Safety Costs and Benefits Save
- Data-Driven Marketing for Promoting AI-Enhanced Vehicle Safety Features Save
- Evaluating Economic Benefits of AI-Powered Crash Prevention Technologies Save
- Multicast routing with shortest path and distance vector to analyze network classification Save