Harsh Raj — Curriculum Vitae

Professional Summary

Active Ph.D. Research Scholar in the Department of Electronics and Electrical Engineering at the Indian Institute of Technology Guwahati. Highly interested in modeling, analyzing, and optimizing next-generation wireless communications systems. Primary expertise lies in Joint Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (IRS), and Machine Learning applications for cellular networks.

Research Interests

Integrated Sensing and Communication (ISAC) Wireless Communications Machine Learning for Wireless Systems Beamforming Signal Processing Optimization Deep Learning MIMO Systems Beyond 5G / 6G Networks

Education

2022 — Present

Ph.D. in Electronics & Electrical Engineering

Indian Institute of Technology Guwahati

Thesis research under Dr. Manoj B. R. focusing on IRS-assisted ISAC and ML applications for B5G networks.

2020 — 2022

M.Tech. in Communication & Signal Processing

Indian Institute of Technology Ropar

Specialization in signal representation, neural networks, and image super-resolution under Dr. J.S. Sahambi.

2015 — 2019

B.E. in Electronics & Communication Engineering

University Institute of Technology Burdwan

Undergraduate coursework covering digital systems, electronic circuits, electromagnetic theory, and signal analysis.

Teaching Assistant Experience

EE 3002 / EE 331

Principles of Communication

Tutored students on baseband modulation, noise in receivers, and analog/digital demodulators.

EE 632

Advanced Topics in Communication Systems

Assisted postgraduate students with signal estimation, optimization, and complex coding structures.

EE 337

Fundamentals of Wireless Communications

Provided guidance on channel models, Rayleigh/Rician fading channels, and MIMO capacities.

EE 530N

Digital Communications

Graded assignments and conducted tutorials on detection theory and error-control codes.

EE 101

Basic Electronics (Tutorial)

Conducted weekly problem-solving tutorials covering diodes, BJTs, MOSFETs, and op-amps.

EE 102

Basic Electronics Laboratory

Supervised undergraduate students during hardware testing, wiring, and oscilloscope measurements.

EE 626

Pattern Recognition & Machine Learning

Supported PG course labs covering PCA, clustering, support vector machines, and deep neural nets.

Skills & Proficiencies

Expertise Areas

Signal Processing Wireless Channels MIMO Arrays Beamforming Convex Optimization Target Detection

Software & Code

MATLAB Python PyTorch Jupyter LaTeX

Awards & Fellowships

2022 — Present

Ministry of Education Doctoral Fellowship

Government of India

Secured full scholarship for conducting doctoral research at IIT Guwahati.

2020

Qualified GATE ECE Exam

Ministry of Education, India

Ranked in top percentiles, qualifying for admissions and research fellowships in India.

Publications

Journal

[J1] NOMA-assisted ISAC system: Downlink and uplink performance in Rician fading channels

I. Agrawal*, H. Raj*, and B. R. Manoj

IEEE Transactions on Cognitive Communications and Networking, Accepted for publication, May 2025. (* Equal Contribution)

Conference

[C1] Cascaded channel statistics and target detection analysis for IRS-assisted ISAC employing NOMA

H. Raj and B. R. Manoj

In Proc. IEEE National Conference on Communications (NCC), IIT Delhi, India, Mar. 6–9, 2025.

Book Chapter

[B1] Machine Learning for Wireless Communications: Applications and Security

B. R. Manoj*, N. M. Baishya*, and H. Raj*

Springer Chapter in "Next-Generation Wireless Systems: Fundamentals and Applications," Transactions on Computer Systems and Networks, Springer, Singapore, pp. 309-368, 2025. (* Equal Contribution)

Conference

[C2] On the performance of IRS-assisted SSK and RPM over Rician fading channels

H. Raj, U. Singh, and B. R. Manoj

In Proc. IEEE 99th Vehicular Technology Conference (VTC-Spring), Singapore, Jun. 24–27, 2024.

Research Projects & Software

GitHub projects and code repositories are listed on the dedicated projects page. Please refer to the Projects & Code page.