Tianya Zhao

I am a second-year Ph.D. student studying computer science at FIU, supervised by Dr. Xuyu Wang. Prior to this, I received my Master's degree from Carnegie Mellon University and my Bachelor's degree from Hunan University. In my current Ph.D. program, I am focusing on Wireless Sensing, AI Security, AIoT, and Smart Health. I am excited about the potential impact my research can have on the field of computer science and beyond. Outside of my academic pursuits, I like to play soccer and go hiking.

Education

Florida International University, Computer Science, Ph.D. Student

Miami, Florida

Carnegie Mellon University, Civil Engineering, Master of Science

Pittsburgh, Pennsylvania, 2022

Hunan University, Civil Engineering, Bachelor of Engineering

Changsha, Hunan, 2019

Internship

Research Assistant, Hunan University, 2021, Human behavior analysis in buildings.

Teaching Experience

Teaching Assistant, Machine Learning, Florida International University, Fall 2022 - Spring 2024

Research Experience

Research Interests

Wireless Sensing; Wireless Security; AIoT; Smart Health; Machine Learning

Award

  • NSF Student Travel Award for IEEE INFOCOM 2024
  • NSF Student Travel Award for IEEE/ACM CHASE 2023

Selected Publications

  • Tianya Zhao, Ningning Wang, Guanqun Cao, Shiwen Mao, and Xuyu Wang, "Functional Data Analysis Assisted Cross-Domain Wi-Fi Sensing Using Few-Shot Learning," in Proc. IEEE ICC 2024, Denver, CO, June 2024.
  • Tianya Zhao, Xuyu Wang, Junqing Zhang, and Shiwen Mao, "Explanation-Guided Backdoor Attacks on Model-Agnostic RF Fingerprinting," in Proc. IEEE INFOCOM 2024, Vancouver, Canada, May 2024. Acceptance rate: 256/1307=19.6%.
  • Tianya Zhao, Xuyu Wang, and Shiwen Mao, "Cross-domain, Scalable, and Interpretable RF Device Fingerprinting," in Proc. IEEE INFOCOM 2024, Vancouver, Canada, May 2024. Acceptance rate: 256/1307=19.6%.
  • Tianya Zhao, Xuyu Wang, and Shiwen Mao, "Backdoor Attacks Against Deep Learning-based Massive MIMO Localization," in Proc. IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 2023.
  • Azhar Chara*, Tianya Zhao*, Xuyu Wang, and Shiwen Mao, “Respiratory Biofeedback Using Acoustic Sensing with Smartphones,” in Proc. IEEE/ACM CHASE 2023, Orlando, FL, June 2023. Acceptance rate: 23/103=22%. (*co-first author)