Update: Our team is actively looking for postdoctoral  researchers, doctoral candidates and undergraduate students in the area of Wireless Sensing, Digital Health and Biometrics.

Biography:

Dr. Xu is a Professor of Computer Science and Engineering Department in the State University of New York (SUNY) at Buffalo, where he founds and directs the ESC (Embedded Sensing and Computing) Group. He has published over 200 technical papers, co-authored 2 books and is a named inventor on many international and U.S. patents. He received the Ph.D. degree from University of California, Los Angeles (UCLA). He received both M.S. degree and B.S. degree from Zhejiang University (both with honor), China.

Research Overview: Read More

Our group has focused on exploring novel Embedded Sensing and Computing technologies to build up innovative Internet-of-Things (IoT) systems for high-impact real-world applications in the fields of healthcare, security and advanced manufacturing. Results has been published in peer-reviewed top research venues across multiple disciplines, including Computer Science (e.g., ACM SenSys, MobiSys, MobiCom, UbiComp, ASPLOS, ISCA, HPCA, Oakland, NDSS and CCS), Biomedical Engineering (e.g., IEEE TBME, TBioCAS, and JBHI), and Medicine (e.g., LANCET, Advanced Science). Our group won 14 best paper/article awards, 3 best paper award nominations and 2 international best design awards. Our inventions have been filed within U.S. and internationally as patents, and have been licensed to industrial players. Our research has been reported in various high-impact media outlets, including the Discovery Channel, Cable News Network, the Wall Street Journal, National Public Radio, Los Angeles Times, and the National Science Foundation's News.

Selected research projects are as below:

• Smart Health:
  • mRehab: Scalable mHealth Technologies using 3D Printing for Stroke Rehabilitation (Project Website)
  • EarlySee: Pervasive Autism Screening in Infancy and Toddlerhood (Project Website)
  • mPD: Passive Daily-life Activity Monitoring for Parkinson Disease Screening and Self-management
  • mCalm: Closed-loop and Just-in-time Mental Health Intervention using Mobile and IoT Technologies
• Cybersecurity:
  • Emerging Biometrics: Secure (e.g., cancelable) and Practical Biometric Systems in Ecological Environments
  • Biometrics Education: A Research Experiences for Undergraduate Site on Biometrics (Project Website)
  • Secure and Dependable 3D Printing: Investigating the Vulnerabilities of 3D Printing Systems
  • mmWave Radar Security in Autonomous Vehicles: Vulnerability Identification and mitigation