Sijie Ji

Building sensing-driven physical AI systems to decode real-world human states and drive proactive interventions.

I develop Physical AI for human-centered cyber-physical systems, focusing on how intelligent systems can reliably infer latent human states from imperfect real-world observations and act under uncertainty and resource constraints.

My work spans mobile, wearable, and wireless sensing and integrates learning with system-level design for dependable real-world operation. I work with Prof. Wei Gao and Prof. Mani Srivastava.

By bridging the gap between hardware limits and algorithmic robustness, I aim to move healthcare beyond episodic clinical visits toward in daily life.