Qijia Shao

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction.

Educational Background:

• Ph.D., Computer Science, Columbia University (2024)
• M.Sc., Dartmouth College
• B.Sc., UESTC
• Visiting Student, National Chiao Tung University (EECS)
• Research Assistant, Missouri S&T

Research Interests:

• Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement)
• Generalizable AI algorithms for low-overhead data interpretation
• Hardware-software co-design for imperceptible sensing
• Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics

Awards & Recognition:

• MobiSys 2024 Best Paper and Demo Awards
• NSF Funding & Rising Stars Honors
• ACM UbiComp Gaetano Borriello Award Finalist
• Editorial Board Member (ACM IMWUT, since 2024)

Lab & Collaborations:

• Director of the Ubiquitous X Lab at HKUST
• Industry partnerships with Samsung, Snap, and Philips Research
• International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements