Hi! I’m a 3rd year PhD candidate in the CORES Lab. My research interests focus on machine learning/deep learning applications in wireless communications.

Education

• PhD, Electrical and Computer Engineering, UCLA, Los Angeles, CA, 2022 – Present
• MS, Electrical and Computer Engineering, UCLA, Los Angeles, CA, 2019 – 2022
• BS, Applied Mathematics, UCLA, Los Angeles, CA, 2014 – 2019 (MAGNA CUM LAUDE)
• BS, Electrical Engineering, UCLA, Los Angeles, CA, 2014 – 2019 (SUMMA CUM LAUDE)

CORES Publications

• T. Zhao, B. W. Domae, C. Steigerwald, L. B. Paradis, T. Chabuk and D. Cabric, “Drone RF Signal Detection and Fingerprinting: UAVSig Dataset and Deep Learning Approach,” MILCOM 2024 – 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024.
• T. Zhao, S. Sarkar, Y. Tian and D. Cabric, “Anomaly Transmitter Recognition and Tracking,” 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Washington, DC, USA, 2024.
• T. Zhao, S. Sarkar, E. Krijestorac, and D. Cabric, “GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting” in IEEE Transactions on Cognitive Communications and Networking, April 2024.
• J. Feng, T. Zhao, S. Sarkar, D. Konrad, T. Jacques, D. Cabric, and N. Sehatbakhsh. “Fingerprinting IoT Devices Using Latent Physical Side-Channels,” Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 2, Article 54, June 2023

Awards

• SpectrumX Graduate Research Fellowship, 2022
• Member, IEEE-Eta Kappa Nu

Teaching Experience

• Teaching Assistant, ECE 3 (Introduction to Electrical Engineering), Fall 2019, Fall 2020, Spring 2021, Summer 2021, Fall 2021, Spring 2023, Fall 2023, Fall 2024
• Teaching Assistant, ECE 113D (Digital Signal Processing Design), Winter 2020, Spring 2020
• Teaching Assistant, ECE 110L (Circuit Measurements Laboratory), Winter 2021
• Teaching Assistant, COMPTNG 10A (Introduction to Programming), Summer 2021

Contact

zhaotianyi[at]ucla[dot]edu