Neeraj Gupta
- APID
- 5002
- Member since
- December 2023
Biography
Dr. Neeraj Gupta is working as Professor, Department of Information Technology in Panipat Institute of Engineering and Technology, Panipat, Haryana. He has served 23 years in academia. He has served as IQAC coordinator in K.R. Mangalam University. He obtained his B.Tech. in Computer Engineering from Kurukshetra University and MTech in Computer Science Engineering in 1999 and 2006 respectively. He completed his Ph.D. from Guru Gobind Indraprastha University, Delhi in 2016. He has 36 publications in International/national journals and conferences. He has authored one book and three book chapters. There are 5 patents that has been published by him. He has guided 06 PhD scholars and 04 M.Tech. thesis. He was conferred with “Best Teacher Award” of the Hindu College of Engineering, Sonipat for the Academic Year 2007-2008. Mr. Gupta is nominated as reviewer in various SCI and Scopus journals. He was also nominated as committee member for design of Curriculum of Diploma Course in Computer Engineering for State of Haryana. The committee was constituted by Haryana State Board of Technical Education (HSBTE), Haryana & National Institute of Technical Teachers’ Training & Research, Chandigarh, 2021. He is life member of Computer Society of India, ISTE Professional membership of ACM, and IEEE Members. His teaching and research interests include: Computer Networks, Ad hoc Networks, Cloud Computing, Fog Computing, Device to Device Communications, Software Engineering and, Data Structures.
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- Analysis of Hadoop Map Reduce Scheduling in Heterogeneous Environment
- Diagnosing of Disease using Machine Learning in Healthcare by Internet of Things
- Game Theoretic and Non-Game Theoretic Resource Allocation Approaches for D2D Communication
- Simplifying Statistical Modeling for Infrastructure-as-a-Service Cloud Computing
- Transform Free Modelling of Finite Buffer Non-Saturated IEEE 802.11 DCF in Ad Hoc Networks
- Wearable Sensors for Evaluation Over Smart Home Using Sequential Minimization Optimization-based Random Forest. International