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Academic Experts
Prof. Vineet Khandelwal

Biography

Prof. Vineet Khandelwal is a Professor in the Department of Electronics and Communication Engineering at Jaypee Institute of Information Technology (JIIT), Noida. He received his Ph.D. from the School of Computer Systems and Sciences, Jawaharlal Nehru University, New Delhi, in 2014, and his M.Tech. in Signal Processing from NSUT, New Delhi, in 2001. He earned his B.E. degree in Electronics and Communication Engineering from MITS, Gwalior, in 1999. Following his M.Tech., Prof. Khandelwal worked as a Design Engineer at nSys Design System for over a year. He then embarked on his academic and research career as a Lecturer in the Department of Electronics and Communication Engineering at Amity School of Engineering and Technology, IP University, New Delhi, where he served until 2004. Subsequently, he joined the Department of Electronics and Communication Engineering at Jaypee Institute of Information Technology, Noida, and was promoted to Professor in 2023. With over 24 years of professional, teaching, and research experience, Prof. Khandelwal specializes in signal processing, RF and optical wireless communication, and artificial intelligence. He has made significant contributions to academic leadership, serving as Deputy Controller of Examination, Program Coordinator for Integrated M.Tech and postgraduate programs, hostel warden, and a member of the Proctorial Board. He has also served as UG Coordinator, convener for audit committees across various departments, led curriculum design initiatives, developed several UG and PG laboratories, and coordinated PG and Ph.D. entrance examinations. Prof. Khandelwal has successfully guided five Ph.D. scholars to completion and supervised numerous M.Tech and B.Tech projects. He is actively involved in institutional governance, contributing to the NAAC Steering Committee, audit committees, curriculum committees, and institutional linkage teams. He has played key roles in organizing major conferences such as the International Conference on Signal Processing and Communication (ICSC), serving as Co-Secretary, Co-Track Chair, and overseeing registration and planning. His research work has been published extensively in reputed journals including IEEE, Springer, ACM, and IET, and he has presented papers at numerous international conferences and seminars both in India and abroad. Additionally, Prof. Khandelwal has taught courses and delivered guest lectures at several esteemed institutes and universities.

Research Highlights

Prof. Vineet Khandelwal research spans advanced image processing, optical wireless communication, and optimization algorithms. In image forensics, he developed a novel 3D-CNN method using frequency domain features for detecting multiple image manipulations, enhancing forgery detection accuracy. His work on ultrasound imaging includes innovative speckle noise reduction techniques, employing adaptive thresholding with AMID, BEMD combined with cross bilateral and pixel-wise Wiener filtering, and Shearlet domain modeling using Nakagami and Normal Inverse Gaussian distributions, significantly improving diagnostic image clarity. In optical wireless communications, Prof. Khandelwal introduced bio-inspired algorithms like Oppositional-Breeding Artificial Fish Swarm and Magnetic Border Collie Optimization for Wavefront aberration compensation and power allocation in MIMO-NOMA visible light systems, respectively. His contributions also include novel closed-form approximations for Bit Error Rate and channel capacity under weak atmospheric turbulence and log-normal fading conditions, addressing challenges such as weather attenuation through aperture averaging and spatial diversity. Furthermore, his unified truncated moment generating function approach advances channel capacity analysis over slow fading environments. Earlier work explored digital restoration techniques for artwork, demonstrating interdisciplinary expertise. Collectively, these contributions enhance the robustness, efficiency, and practical applicability of image analysis and optical communication systems, validated through publications in high-impact, indexed journals across SCI, ESCI, and Scopus databases.

Areas of Interest
  • Signal Processing
  • Biomedical Signal Processing
  • Image Processing
  • Artificial Intelligence
  • RF & Optical Wireless Communication
Projects
  • Project Title: Development of IP Core for Real Time Audio and Video Surveillance System
    Granting Agency:  RPS Project awarded by AICTE for 5 Lakh
    Position Co-PI
    Project Cost: 5 Lakh
    Status: Completed