About me

I am a Postdoctoral fellow at WNCG at the Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX. I obtained my PhD in electrical and computer engineering in Summer 2026 under the supervision of Prof. Kaushik Chowdhury, with dissertation title “Applied Deep Learning for Next-G Communication Systems”. My reasearch is broadly at the intersection of wireless communications and machine learning.

Research Interests

• Spectrum Sensing: Deep learning for signal detection, classification, and spectrum localization.
• Device authentication: Deep learning-based methods for device authentication using the physical layer signal properties (RF fingerprinting).
• Receiver chain design: AI-native receivers (WiFi/Cellular) for next-G wireless systems.

News

• September 2026: Our paper “Sharing of Irreversible Latent Features in lieu of RF IQ Data for Multiple Downstream Learning Tasks” was accepted in ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc) 2026. 🎉
• July 2026: I defended my PhD thesis, and started as a Post-doctrol fellow at the WNCG. 🎉
• October 2025: I attended the Summit for AI Institutes Leadership (SAIL) 2025 in Reston, VA, as AI-Edge representative student, and presented my research as a poster in the graduate student workshop.
• July 2025: I was awarded the Engineering Foundation Endowed Graduate Fellowship by the Cockrell School of Engineering at the University of Texas at Austin for 2025-2026 academic year. 🎉
• February 2025: Our paper “UNICORN: URLLC Network Traffic Classification and OOD Detection for O-RAN” was accepted at IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2025, May 26-29, Barcelona, Spain. 🎉
• October 2024: I presented a poster “Lifelong learning for Open Radio Access Networks” at Student Research Showcase by WNCG group at the University of Texas at Austin, Austin, TX.
• August 2024: I transferred to the University of Texas at Austin with my advisor, to continue my PhD.
• June 2024: I presented a poster “Learning from the Best: Active Learning for Wireless Communications” at the Artificial Intelligence Modeling, Analysis, and Control of Complex Systems (AIMACCS) Workshop, June 4-5, 2024, Columbus, OH. poster
• April 2024: I gave a talk in Monthly Virtual Rising Star Symposium Series, at IEEE TCCN SIG AI/ML for Security. flyer, slides, video
• January 2024: Our paper “Learning from the Best: Active Learning for Wireless Communications” is accepted in IEEE Wireless Communications Magazine. 🎉
• November 2023: Our paper “PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization” is published in IEEE Transactions on Wireless Communications. 🎉
• August 2023: I presented my PhD proposal with the topic of “Deep Learning for the Physical Layer: From Signal Classification to Decoding”.