Xiaomin Ouyang
Scholar

Xiaomin Ouyang

Google Scholar ID: y7oUVucAAAAJ
Department of Computer Science and Engineering, HKUST
Embedded AIAI for HealthIoTMobile ComputingCyber-Physical Systems
Citations & Impact
All-time
Citations
823
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Recipient of ACM MobiSys Best Paper Award and ACM SIGBED China Outstanding Doctoral Dissertation Award; named one of EECS Rising Stars (2023) and mHealth Scholars (2024); multiple papers published in conferences such as SenSys’25, MobiCom’24, MobiSys’23.
Research Experience
  • Currently an Assistant Professor at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology, leading the HKUST Mobile, Intelligent, and Networked System (MINSys) Group. Formerly a postdoctoral researcher at UCLA Networked & Embedded Systems Lab.
Education
  • Obtained a Ph.D. from The Chinese University of Hong Kong in 2023, advised by Prof. Guoliang Xing (ACM/IEEE Fellow) and co-advised by Prof. Jianwei Huang (IEEE Fellow). Previously, a postdoctoral researcher at UCLA Networked & Embedded Systems Lab, working with Prof. Mani Srivastava (ACM/IEEE Fellow).
Background
  • Research interest: Empowering mobile and IoT devices with AI to create ambient intelligence for smart health applications. Specialized in Embedded AI, Smart Health, and Mobile Sensing.
Miscellany
  • Actively seeking highly motivated students to join her group and offering several research internship positions.