About Vijith Varma Kotte Vijith Varma Kotte Ph.D. Student, Electrical and Computer Engineering Deep learning Signal processing Next generation wireless communications MIMO radars PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). Articles Related News October 2025 Excited to share our publication in IEEE Journal on Selected Areas in Communications 1 min read · Sun, Oct 26 2025 News We are thrilled to share that our latest paper, “𝙀𝙡𝙚𝙘𝙩𝙧𝙤𝙢𝙖𝙜𝙣𝙚𝙩𝙞𝙘𝙖𝙡𝙡𝙮 𝙍𝙚𝙘𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙖𝙗𝙡𝙚 𝙁𝙡𝙪𝙞𝙙 𝘼𝙣𝙩𝙚𝙣𝙣𝙖 𝙎𝙮𝙨𝙩𝙚𝙢 𝙛𝙤𝙧 𝙒𝙞𝙧𝙚𝙡𝙚𝙨𝙨 𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨: 𝘿𝙚𝙨𝙞𝙜𝙣, 𝙈𝙤𝙙𝙚𝙡𝙞𝙣𝙜, 𝘼𝙡𝙜𝙤𝙧𝙞𝙩𝙝𝙢, 𝙁𝙖𝙗𝙧𝙞𝙘𝙖𝙩𝙞𝙤𝙣, 𝙖𝙣𝙙 𝙀𝙭𝙥𝙚𝙧𝙞𝙢𝙚𝙣𝙩,” has been accepted for publication in the IEEE Journal on Selected Areas in Communications. This work is the result of a collaborative effort between the KAUST IMPACTS Lab and the Information Science Lab, with amazing co-authors: Ruiqi Wang; Pinjun Zheng; Vijith Varma Kotte; Sakandar Rauf; Yiming Yang; Muhammad Mahboob Ur Rahman; Tareq Al-Naffouri; Atif Shamim. In this paper, we present a comprehensive July 2025 ISL bids farewell to Dr. Vijith Varma Kotte 1 min read · Sat, Jul 5 2025 News Information Science Lab, CEMSE, KAUST bids farewell to Dr. Vijith Varma Kotte, who recently defended his PhD dissertation in Electrical and Computer Engineering at #KAUST under the supervision of Prof. Tareq Al-Naffouri. During his time at #ISL, Vijith made impactful contributions in the areas of FMCW radar signal processing in automotive, non-contact biomedical monitoring, and THz communication. His research focused on enabling smart sensing systems through AI-driven signal processing techniques, with real-world applications in health, automotive, and next-generation wireless systems. Dr May 2025 Congratulations to Vijith Varma Kotte on successfully defending his PhD dissertation 1 min read · Fri, May 16 2025 News 🎉 Congratulations to Vijith Varma Kotte on successfully defending his PhD dissertation titled “FMCW Radar Systems for Automotive and Biomedical Applications” under the supervision of Prof. Tareq Al-Naffouri. This work advances FMCW radar as a versatile and robust sensing modality by developing cutting-edge signal processing and deep learning techniques across two impactful domains: 🔹 Automotive Applications: Introduced a forward-looking MIMO-SAR radar imaging system, significantly enhancing azimuthal resolution using unsupervised Deep Basis Pursuit and Convolutional Decoder models. 🔹
Excited to share our publication in IEEE Journal on Selected Areas in Communications 1 min read · Sun, Oct 26 2025 News We are thrilled to share that our latest paper, “𝙀𝙡𝙚𝙘𝙩𝙧𝙤𝙢𝙖𝙜𝙣𝙚𝙩𝙞𝙘𝙖𝙡𝙡𝙮 𝙍𝙚𝙘𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙖𝙗𝙡𝙚 𝙁𝙡𝙪𝙞𝙙 𝘼𝙣𝙩𝙚𝙣𝙣𝙖 𝙎𝙮𝙨𝙩𝙚𝙢 𝙛𝙤𝙧 𝙒𝙞𝙧𝙚𝙡𝙚𝙨𝙨 𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨: 𝘿𝙚𝙨𝙞𝙜𝙣, 𝙈𝙤𝙙𝙚𝙡𝙞𝙣𝙜, 𝘼𝙡𝙜𝙤𝙧𝙞𝙩𝙝𝙢, 𝙁𝙖𝙗𝙧𝙞𝙘𝙖𝙩𝙞𝙤𝙣, 𝙖𝙣𝙙 𝙀𝙭𝙥𝙚𝙧𝙞𝙢𝙚𝙣𝙩,” has been accepted for publication in the IEEE Journal on Selected Areas in Communications. This work is the result of a collaborative effort between the KAUST IMPACTS Lab and the Information Science Lab, with amazing co-authors: Ruiqi Wang; Pinjun Zheng; Vijith Varma Kotte; Sakandar Rauf; Yiming Yang; Muhammad Mahboob Ur Rahman; Tareq Al-Naffouri; Atif Shamim. In this paper, we present a comprehensive
ISL bids farewell to Dr. Vijith Varma Kotte 1 min read · Sat, Jul 5 2025 News Information Science Lab, CEMSE, KAUST bids farewell to Dr. Vijith Varma Kotte, who recently defended his PhD dissertation in Electrical and Computer Engineering at #KAUST under the supervision of Prof. Tareq Al-Naffouri. During his time at #ISL, Vijith made impactful contributions in the areas of FMCW radar signal processing in automotive, non-contact biomedical monitoring, and THz communication. His research focused on enabling smart sensing systems through AI-driven signal processing techniques, with real-world applications in health, automotive, and next-generation wireless systems. Dr
Congratulations to Vijith Varma Kotte on successfully defending his PhD dissertation 1 min read · Fri, May 16 2025 News 🎉 Congratulations to Vijith Varma Kotte on successfully defending his PhD dissertation titled “FMCW Radar Systems for Automotive and Biomedical Applications” under the supervision of Prof. Tareq Al-Naffouri. This work advances FMCW radar as a versatile and robust sensing modality by developing cutting-edge signal processing and deep learning techniques across two impactful domains: 🔹 Automotive Applications: Introduced a forward-looking MIMO-SAR radar imaging system, significantly enhancing azimuthal resolution using unsupervised Deep Basis Pursuit and Convolutional Decoder models. 🔹
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