PhD candidate in Computer Science at UIUC — mobile computing, indoor localization, wireless sensing. I build systems that make accurate positioning available everywhere, even where GPS fails.
🌐 enguang2.github.io · Google Scholar · LinkedIn · GitHub · enguang2 [at] illinois.edu
I am a PhD candidate in the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Klara Nahrstedt. I have also worked with Prof. Deepak Vasisht and Prof. Matthew Caesar.
My research centers on mobile computing, indoor localization, and wireless sensing systems — with a focus on scalable, infrastructure-free positioning using standard Wi‑Fi and IMU sensors found in everyday devices.
Before my PhD, I interned at Google on the Android Indoor Localization Team (2025), where I built a Wi‑Fi RTT + IMU sensor fusion system achieving 0.8 m accuracy at 90% CDF. I hold an M.S. and a B.S. (Highest Distinction) in CS/Statistics from UIUC.
🏆 MobiCom 2025 Best Poster Runner-Up — Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging
- Indoor localization: non-cooperative Wi‑Fi ranging, crowdsourcing, sensor fusion (PDR + EKF)
- Wireless systems: multipath modeling, clock-offset-robust ranging, FTM/RTT protocols
- Robotics & security: UAV swarm coordination, GPS spoofing detection, visual SLAM
- Industry impact: Google Android Location — production-grade indoor positioning at sub-meter accuracy
| Venue | Title |
|---|---|
| MobiCom 2025 🏆 | Scalable Indoor Localization with Non-Cooperative Wi-Fi Ranging — PDF |
| arXiv 2025 | Crowdsourcing Ubiquitous Indoor Localization with Non-Cooperative Wi-Fi Ranging — arXiv:2506.18317 |
| arXiv 2026 | Communication-Aware Multi-Agent RL for Decentralized Cooperative UAV Deployment — arXiv:2603.16141 |
| IEEE MILCOM 2023 | Towards Effective Swarm-Based GPS Spoofing Detection in Disadvantaged Platforms — 8 citations |
→ Full publication list with citation counts