Xinghua Sun (孙兴华)

ECE Ph.D. candidate at University of Washington

xinghua_about_20250105.jpg

Hi👋! I am currently a 3rd year Ph.D. candidate at University of Washington in the department of Electrical and Computer Engineering. I am a member of the Networking and Emerging Wireless Technologies Lab (NEWT), working on wireless and mobile systems under the supervision of Prof. Akshay Gadre.

I am passionate about solving exciting and impactful real-world challenges. Recently My research interest lies in Millimeter-Wave sensing and imaging system.

Prior to PhD, I received my Master’s degree in Electrical Engineering from Columbia University (2022) working with Prof. Fred Jiang at Intelligent and Connected Systems Lab (ICSL) on embedded AI and Robotics. I received my Bachelor’s degree in Automation Science and Engineering from South China University of Technology (2021).

News

Nov 18, 2024 We will be presenting a Demo and a Workshop paper at Mobicom 2024 in Washington, D.C.
Jun 11, 2024 We have presented our work at T-Mobile’s headquarter in Bonn, Germany. And won the T-Mobile Challenge Most Engaging Presentation Award 2024.

Publications

  1. vrwireless_1.gif
    Demo: "My WiFi is not working!" Augmenting Wireless Awareness in Consumers via XR
    Qiancheng Li, Xinghua Sun , and Akshay Gadre
    Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom ’24), 2024
    DOI
  2. vrwireless_2.gif
    Workshop: Synthetic Data for Data-Driven Wireless
    Qiancheng Li, Xinghua Sun , and Akshay Gadre
    Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom ’24), 2024
    DOI
  3. Exploring Foundation Models in Detecting Concerning Daily Functioning in Psychotherapeutic Context Based on Images from Smart Home Devices
    Yuang Fan, Jingping Nie, Xinghua Sun, and Xiaofan Jiang
    2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys ’24), 2024
    DOI
  4. caiti_sensys22.gif
    Demo: AI Therapist for Daily Functioning Assessment and Intervention Using Smart Home Devices
    Jingping Nie, Minghui Zhao, Stephen Xia, Xinghua Sun, Hanya Shao, and 3 more authors
    Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (Sensys ’22), 2023
    Best Demo Runner-up DOI
  5. tinyml.webp
    How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?
    Subhajit Ray, Xinghua Sun, Nolan Tremelling, Maria Gordiyenko, and Peter Kinget
    TinyML Research Symposium, 2023
    arXiv

Awards

  • UW ECE Research Showcase Best Demo Award sponsored by Apple (2025)
  • T-Mobile T-Challenge - AI for Telecommunications Finalist & Most Engaging Presentation Award (2024)
  • ACM Sensys 2022 Best Demo Runner-up (2022)

Teaching

  • UW EE 419/565 Computer Communication Networks - Teaching Assistant (Spring 2025)
  • UW EE 417/506 Modern Wireless Communications - Teaching Assistant (Winter 2025)
  • UW EE 215 Fundamentals of Electrical Engineering - Teaching Assistant (Winter 2024)