About me

I am a PhD student at WNCG at the Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX. I started my PhD in computer engineering in Fall 2018 under the supervision of Prof. Kaushik Chowdhury. My reasearch is broadly at the intersection of wireless communications and machine learning, and my thesis topic is “Deep Learning for the Physical Layer: From Signal Classification to Decoding”.

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: Deep learning-based OFDM receivers (WiFi/Cellular) for next-G wireless systems.

News

• 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”.