Kartik Patel

I am an incoming assistant professor at IIT Gandhinagar. Before this, I was a postdoctoral researcher at Nokia Bell Labs, Murray Hill from 2024 to 2026. I received my Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin under the joint supervision of Prof. Sanjay Shakkottai and Prof. Robert Heath in 2024. While at UT Austin, I was also part of Wireless Networking and Communications Group (WNCG) and 6G@UT. Before joining UT Austin, I received my B.Tech. degree in Electronics and Communication Engineering from the Indian Institute of Technology Roorkee, India, in 2017.

My research interests lie at the intersection of wireless networks, sensing, and machine learning. My postdoctoral work was focused on prototyping a large-scale backscatter network for wide area applications. Over the course of my Ph.D., I have worked on various topics spanning the physical layer, MAC layer, and network planning. I also enjoy designing the testbeds and prototyping my research on real-world systems.

Latest News

Delighted to share that our paper on "CIPAT: A Two-stage Configuration Impact Prediction Analysis Toolkit for Cellular Networks" has been accepted to ACM Transactions on Modeling and Performance Evaluation of Computing Systems.
I will be giving a guest lecture on "Multi-static Backscatter Networks for Integrated Sensing and Communications for Next-generation IoT" for CSE5194 Wireless Networks in the Department of Computer Science and Engineering at Ohio State University. Thank you, Dr. Soni, for the invitation!
Our paper on "Real-time Range-Angle Estimation and Tag Localization for Multi-static Backscatter Systems" is now available on arXiv.
Our paper on "Next-Generation Backscatter Networks for Integrated Communications and RF Sensing" that develops a comprehensive analytical model of a bi-static backscatter system for ranging applications is now available on arXiv.
Our poster on "Predicting the Performance of Cellular Networks: A Latent-resilient Approach" is the 2nd runner-up in the student research competition (graduate category) at ACM Mobicom 2024!
Our paper on "Analyzing the Scalability of Bi-static Backscatter Networks for Large Scale Applications" has been accepted to IEEE Journal of Radio Frequency Identification.

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