معرفی
Shijia Pan serves as an Assistant Professor in the Electrical Engineering and Computer Science department within the School of Engineering at the University of California, Merced. Her research focuses on making networked devices more pervasive, intelligent, and interactive through innovative sensing approaches.
Professor Pan's research interests span Ubiquitous Computing, Mobile Sensing Systems, Ambient Structural Vibration Sensing, and Objects as Sensors. Her work in the Pervasive Autonomous Networked Systems Lab centers on three main pillars:
- Pervasive Sensing - converting everyday objects into sensors for seamless physical and behavioral monitoring
- Adaptive Learning - developing multimodal collaborative learning approaches for IoT and physics/data-driven spatiotemporal modeling
- Ubiquitous Interaction - exploring novel human-system interaction methods including AR/VR-based IoT privacy visualization, unvoiced speech recognition (in collaboration with Stony Brook and UMass), and LLM-based IoT user preference modeling
Professor Pan is actively seeking highly motivated PhD students to join her research team at UC Merced, which is strategically located between Silicon Valley and Yosemite National Park. The university has achieved notable recognition, ranking #14 in Mobile Computing and #59 in Human-Computer Interaction according to CSRankings, and #60 in the U.S. News College Rankings. Established in 2005, UC Merced recently attained R1 research university status in 2025.
