Summary
Shijia Pan is an Assistant Professor at UC Merced with nine years of experience bridging academic research and applied engineering in indoor human sensing and localization. Trained at Carnegie Mellon (PhD) and with research stints at Microsoft Research Asia and Tsinghua, she develops systems that extract human information from ambient vibrations, RF and inertial signals—translating sensor signals into actionable insights for smart environments. Her prior industry internships at Qualcomm and Technicolor included building mobile AR-enabled location apps, reflecting a knack for turning lab prototypes into user-facing tools. At Merced she leads PansLab, continuing interdisciplinary work that combines signal processing, embedded systems, and human-centered design to tackle real-world sensing challenges.
9 years of coding experience
1 year of employment as a software developer
The Hong Kong Polytechnic University
Bachelor of Engineering (B.Eng.), Computer Science, Bachelor of Engineering (B.Eng.), Computer Science at University of Science and Technology of China
Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering at Carnegie Mellon University
English, Chinese