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

• 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”.