Research portfolio / 2026
Harsh Raj 
Research Scholar · IIT Guwahati
Working on ISAC, IRS, MIMO, Beamforming, Machine Learning, B5G/6G Networks
Explore research 
Currently a PhD Student at IIT Guwahati
Institution
Indian Institute of Technology Guwahati
Department
Electronics and Electrical Engineering
Advisor
Research Focus
ISAC, IRS, MIMO, Beamforming, Machine Learning, B5G/6G Networks
Email
👤 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
Dr. Manoj B. R.
Primary Focus
ISAC, IRS, B5G/6G Networks
Affiliation
Dept. of EEE, IIT Guwahati
What's New (Recent Activity)
- Publication Our co-authored journal "NOMA-Assisted ISAC System: Downlink and Uplink Performance..." has been published in IEEE Transactions on Cognitive Communications and Networking ( TCCN 2026 ).
- Conference Presented our research "Cascaded Channel Statistics and Target Detection Analysis..." at the National Conference on Communications (NCC 2025) at IIT Delhi.
- Book Chapter Co-authored a book chapter on "Machine Learning for Wireless Communications: Applications and Security" published by Springer.
🎓 Education
Ph.D. in Electronics & Electrical Engineering
2022 — PresentIndian 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
2020 — 2022Indian Institute of Technology Ropar
Research focus on Image Super-resolution and Deep Learning applications under Dr. J.S. Sahambi.
B.E. in Electronics & Communication Engineering
2015 — 2019University Institute of Technology Burdwan
Undergraduate studies with a focus on communication systems, signal processing, and embedded electronics.
📝 Publications
J1
NOMA-Assisted ISAC System: Downlink and Uplink Performance in Rician Fading Channels
IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 3073-3087, 2026. (* Equal Contribution)
Abstract: This paper investigates the performance of a Non-Orthogonal Multiple Access (NOMA)-assisted Integrated Sensing and Communication (ISAC) system operating over Rician fading channels. We characterize both downlink and uplink performance, deriving exact closed-form expressions for outage probabilities, spectral efficiencies, and target detection metrics. The results confirm that NOMA provides significantly improved performance over OMA in joint setups.
@ARTICLE{11219189,
author={Agrawal, Ishaan and Raj, Harsh and Manoj, B. R.},
journal={IEEE Transactions on Cognitive Communications and Networking},
title={NOMA-Assisted ISAC System: Downlink and Uplink Performance in Rician Fading Channels},
year={2026},
volume={12},
number={},
pages={3073-3087},
doi={10.1109/TCCN.2025.3626335}}
C1
Cascaded Channel Statistics and Target Detection Analysis for IRS-Assisted ISAC Employing NOMA
In Proc. IEEE National Conference on Communications (NCC), IIT Delhi, India, Mar. 6–9, 2025.
Abstract: We analyze the cascaded channel statistics and target detection probability for an Intelligent Reflecting Surface (IRS)-assisted ISAC system employing NOMA. By reflecting radar signals off a reconfigurable array, we show that the system can bypass physical blockages to detect targets and communicate simultaneously. Performance bounds are validated through numerical analysis.
@INPROCEEDINGS{10982964,
author={Raj, Harsh and Manoj, B. R.},
booktitle={2025 National Conference on Communications (NCC)},
title={Cascaded Channel Statistics and Target Detection Analysis for IRS-Assisted ISAC Employing NOMA},
year={2025},
pages={1-6},
doi={10.1109/NCC63735.2025.10982964}}
B1
Machine Learning for Wireless Communications: Applications and Security
Springer Chapter in "Next-Generation Wireless Systems: Fundamentals and Applications," Singapore, pp. 309-368, 2025. (* Equal Contribution)
Abstract: This book chapter provides a comprehensive survey of Machine Learning applications in modern wireless networks. We discuss channel estimation, beamforming optimization, pattern classification, and security challenges in next-generation networks.
@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}}
C2
On the Performance of IRS-Assisted SSK and RPM over Rician Fading Channels
In Proc. IEEE 99th Vehicular Technology Conference (VTC-Spring), Singapore, Jun. 24–27, 2024.
Abstract: We evaluate the performance of Intelligent Reflecting Surface (IRS)-assisted Space Shift Keying (SSK) and Spatial Modulation over Rician fading channels. Analytical bounds on bit error rates are derived and validated via extensive Monte Carlo simulations.
@INPROCEEDINGS{10683164,
author={Raj, Harsh and Singh, Ugrasen and Manoj, B. R.},
booktitle={2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)},
title={On the Performance of IRS-Assisted SSK and RPM over Rician Fading Channels},
year={2024},
pages={1-5},
doi={10.1109/VTC2024-Spring62846.2024.10683164}}
👨🏫 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.
EE 331
Principles of Communication
Undergraduate course covering analog/digital modulation, noise analysis, and receiver architectures.
EE 632
Advanced Topics in Communication
Postgraduate course on reconfigurable intelligent surfaces (IRS), ISAC, and advanced signal processing.
EE 337
Wireless Communications
Undergraduate elective covering multipath fading channels, diversity, MIMO, and cellular systems.
EE 530N
Digital Communications
Postgraduate core course on detection/estimation, signal space, and BER analysis.
EE 101
Basic Electronics (Tutorial)
Undergraduate tutorial covering diodes, BJT/FET amplifiers, and operational amplifiers.
EE 626
Pattern Recognition & ML
Postgraduate course on statistical classification, clustering, neural networks, and ML models.
🏆 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
🛠️ Skills & Tools
💻 Programming & Simulation
MATLAB
Python
Mathematica
C/C++
🧠 ML & Data Science
TensorFlow
NumPy / SciPy
Computer Vision
📡 Wireless & Communication
Signal Processing
Optimization Theory
OFDM / NOMA
Statistical Analysis
🛠️ Research Tools
LaTeX
Git
Linux
Overleaf