Rahul Kumar is pursuing PhD degree in Microelectronics and VLSI Group, Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, under the supervision of Dr. Brajesh Kumar Kaushik and Prof. Raman Balasubramanian . Mr. Kumar received Masters of Technology (M.Tech.) degree with honour in 2015 from National Institute of Technology, Rourkela. He has served as a reviewer of IET circuits, devices and systems, Springer circuits, systems, and signal processing, and IEEE Transactions on Very Large Scale Integration (VLSI) Systems. He is a recipient of the prestigious "Newton-Bhabha" fellowship. He has received many awards and recognition from national and international organizations. He has published several research publications in reputed journals and conference proceedings. His research interests are in the areas of low-power VLSI design, architecture and algorithm co-design, image processing, reconfigurable architectures, deep learning, and machine vision. He is student member of IEEE and SPIE research societies.
Image and Video Dehazing
Machine Learning
Robotics
VLSI Architectures
[1]. Rahul Kumar, Raman Balasubramanian, Brajesh Kumar Kaushik, "Efficient Method and Architecture for Real-Time Video Defogging," IEEE Transactions on Intelligent Transportation Systems, vol.22, no. 10, pp. 6536-6546, Oct. 2021.
[2]. Rahul Kumar, Brajesh Kumar Kaushik, and R. Balasubramanian, "Multispectral Transmission Map Fusion Method and Architecture for Image Dehazing," IEEE Transactions on Very Large Scale Intergration (VLSI) Systems, vol.27, no.11, pp. 2693-2697, Nov. 2019.
[3]. Rahul Kumar, Brajesh Kumar Kaushik, and R. Balasubramanian, “FPGA Implementation of Image Dehazing Algorithm for Real-Time Applications”, in Proc. SPIE Appl. of Digital Image Processing XL, San Diego, CA, 2017, Art. no. 1039633.
[4]. Rahul Kumar, Manoj Purohit, Deepa Saini, and Brajesh Kumar Kaushik, “Air turbulence mitigation techniques for long-range terrestrial surveillance,” IETE Technical Review Journal, vol. 34, no. 4, pp. 416-430, Jul. 2017.
[5]. Gyanendra, Rahul Rahul, Brajesh Kumar Kaushik, and R. Balasubramanian, “Blur and noisy image restoration for near real time applications,” in Proc. SPIE Appl. of Digital Image Processing XLII, San Diego, CA, 2019.
[1]. Real-Time Fog Removal System and Its Method Thereof, Rahul Kumar, Brajesh Kumar Kaushik, Balasubramanian Raman, and Gaurav Sharma, Filing No. 202011047686 (Funded by IIT Roorkee).
[2]. A Single Stage Multi-Spectral Image and Video Dehazing System and Its Method Thereof, Rahul Kumar, Brajesh Kumar Kaushik, and Gaurav Sharma, Filing No. 201911024268 (Funded by IIT Roorkee).