Harsh Raj
Ph.D. Research Scholar
Department of Electronics and Electrical Engineering
Indian Institute of Technology Guwahati
About Me
I am currently pursuing my Ph.D. in the Department of Electronics and Electrical Engineering at the Indian Institute of Technology Guwahati, since July 2022, under the supervision of Dr. Manoj B. R. My research centers on next-generation wireless architectures, specializing in Integrated Sensing and Communication (ISAC), Intelligent Reflecting Surfaces (IRS), and Machine Learning applications for communication networks.
Prior to joining IIT Guwahati, I earned my M.Tech. in Communication and Signal Processing from the Indian Institute of Technology Ropar in 2022, where I worked on deep learning-based image super-resolution under Dr. J.S. Sahambi. I completed my B.E. in Electronics and Communication Engineering from the University Institute of Technology Burdwan in 2019.
Advisor
Primary Focus
ISAC, IRS, B5G/6G Networks
Affiliation
Dept. of EEE, IIT Guwahati
Education
Institution-wise details of my academic journey.
Ph.D. in Electronics & Electrical Engineering
Indian Institute of Technology Guwahati
Research focus on IRS-assisted ISAC, NOMA, and ML for wireless systems under Dr. Manoj B. R.
M.Tech. in Communication & Signal Processing
Indian Institute of Technology Ropar
Research focus on Super-resolution and Deep Learning applications, and ML for image processing under Dr. J.S. Sahambi
B.E. in Electronics & Communication Engineering
University Institute of Technology Burdwan
Undergraduate studies with a focus on communication systems, signal processing, and embedded systems.
Publications
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J1IEEE Transactions on Cognitive Communications and Networking, Accepted for publication, May 2025. (* Equal Contribution)@article{agrawal2025noma, title={NOMA-assisted ISAC system: Downlink and uplink performance in Rician fading channels}, author={Agrawal, I. and Raj, Harsh and Manoj, B. R.}, journal={IEEE Transactions on Cognitive Communications and Networking}, pages={1--15}, year={2025}, publisher={IEEE} }
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C1In Proc. IEEE National Conference on Communications (NCC), IIT Delhi, India, Mar. 6–9, 2025.@inproceedings{raj2025cascaded, title={Cascaded channel statistics and target detection analysis for IRS-assisted ISAC employing NOMA}, author={Raj, Harsh and Manoj, B. R.}, booktitle={Proceedings of the IEEE National Conference on Communications (NCC)}, pages={1--6}, year={2025}, organization={IEEE} }
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B1Springer Chapter in "Next-Generation Wireless Systems: Fundamentals and Applications," Transactions on Computer Systems and Networks, Springer, Singapore, pp. 309-368, 2025. (* Equal Contribution)@incollection{manoj2025machine, title={Machine Learning for Wireless Communications: Applications and Security}, author={Manoj, B. R. and Baishya, N. M. and Raj, Harsh}, booktitle={Next-Generation Wireless Systems: Fundamentals and Applications}, pages={309--368}, year={2025}, publisher={Springer} }
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C2In Proc. IEEE 99th Vehicular Technology Conference (VTC-Spring), Singapore, Jun. 24–27, 2024.@inproceedings{raj2024performance, title={On the performance of IRS-assisted SSK and RPM over Rician fading channels}, author={Raj, Harsh and Singh, U. and Manoj, B. R.}, booktitle={Proceedings of the IEEE 99th Vehicular Technology Conference (VTC-Spring)}, pages={1--6}, year={2024}, organization={IEEE} }
Teaching Assistantships
Served as a Teaching Assistant for undergraduate and postgraduate courses in communication systems, wireless communications, digital communications, electronics laboratories, and machine learning at IIT Guwahati.
Principles of Communication
Undergraduate core course covering analog and digital modulation techniques, noise analysis, and receiver design.
Advanced Topics in Communication Systems
Postgraduate level course covering advanced communication theory, intelligent reflecting surfaces (IRS), integrated sensing and communication (ISAC), and signal processing techniques.
Fundamentals of Wireless Communications
Undergraduate elective covering fading channels, diversity techniques, MIMO, and cellular systems.
Digital Communications
Postgraduate core course on detection and estimation of symbols, signal space representation, and bit error rate (BER) analysis.
Basic Electronics (Tutorial)
Undergraduate tutorial sessions covering semiconductor devices, diode circuits, BJT/FET amplifiers, and operational amplifiers.
Pattern Recognition & Machine Learning
Postgraduate course covering classification, clustering, neural networks, and ML frameworks for signal analysis.
Achievements
Professional Contributions
Active Student Member of IEEE and IEEE Communications Society (ComSoc). Contributed to the research community as a reviewer for leading international conferences and journals.
Ongoing