Vijith Varma Kotte
PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).
Biography
Vijith Varma Kotte is a Ph.D. candidate in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He joined KAUST in 2020 under the supervision of Prof. Tareq Y. Al-Naffouri. He received his B.Tech. degree in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, India, in 2015, and his M.Tech. degree from Indian Institute of Technology Delhi (IIT Delhi) in 2018.
Prior to joining KAUST, Vijith worked as a Research Engineer at the Centre for Development of Telematics (C-DOT) in New Delhi from 2018 to 2019.
Research Interests
His research interests span signal and image processing, deep learning, and wireless communications, with a particular focus on radar signal processing for biomedical and automotive applications.
- MIMO Radar signal processing.
- Wireless communications..
- Deep Learning.
Education
- Master of Engineering (MEng)
- Telecommunications Engineering, I.I.T. Delhi, India, 2018
- Bachelor of Engineering (B.Eng.)
- Electronics and Communications Engineering, Amrita University, India, 2015
Selected Publications
- Kotte, V. V., Ahmed, S. ., Alouini, M.-S. ., & Al-Naffouri, T. Y. (2024). Joint Estimation of Single Target’s High Amplitude Difference Doppler Frequencies in FMCW Radar.
- Kotte, V. V., Gishkori, S. ., Masood, M. ., & Al-Naffouri, T. Y. (2023). Unsupervised Deep Basis Pursuit Based Resolution Enhancement for Forward Looking MIMO SAR Imaging.
- Kotte, V. V., Gishkori, S. ., Masood, M. ., & Al-Naffouri, T. Y. (2022). Enhanced Imaging for Forward Looking MIMO SAR Via Un-Supervised Deep Basis Pursuit. 2022 IEEE Radar Conference (RadarConf22). Presented at the. IEEE.
- Varma, K. V., Boddapati, H. K., Bhatnagar, M. R., & Prakriya, S. . (2017). Performance of multi-path and multi-hop underlay cognitive radio network with max-min path selection. 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). Presented at the. Bhubaneswar, India: IEEE.
