Wenyao Xu
Wenyao Xu

Wenyao Xu, PhD, Fellow of IEEE/AIMBE/AAIS

Carl V. Granger Endowed Chair Professor
Director of Research, Department of Computer Science & Engineering
Director of UB Center for Translational AI and Digital Health
Affiliated Faculty, Department of Biomedical Engineering
University at Buffalo, the State University of New York (SUNY)
Office:
330 Davis Hall Buffalo, NY 14260-2500
Phone:
(716) 645-4748
ORCID:
0000-0001-6444-9411
Email:
wenyaoxu at buffalo dot edu

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

Biography

I am the Carl V. Granger Endowed Chair Professor in the Department of Computer Science and Engineering at the State University of New York (SUNY) at Buffalo, where I founded and lead the ESC (Embedded Sensing and Computing) Group. I also direct the UB Center for Translational AI and Digital Health. My research team has published over 300 technical papers, co-authored 2 books, and holds 11 U.S. and international patents advancing embedded sensing, AI-driven health technologies, and computing systems.

I received the Ph.D. from University of California, Los Angeles (UCLA), and my M.S. and B.S. from Zhejiang University, China. I am also the founder of Auspex Medix — a MedTech startup developing AI-enabled medical devices and services. I am a Fellow of IEEE, AIMBE, and AAIS.

Research Overview

Google Scholar || Research Group Linkedin

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 have 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 has won 22 best paper awards and nominations and 10+ international best design awards in the field of IoT and smart health. Our inventions have been filed within the 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 (CNN), Fox News, National Public Radio (NPR), the British Broadcasting Corporation (BBC), and the National Science Foundation's News.

Our research areas include

  • AI and Sensing for Digital Health:
    • Physical Rehabilitation: Smartphone sensing and AI-powered feedback for home extremity exercise (Link)
    • Chronic Wound Care: Smartphone, mmWave and emerging sensing for chronic wound assessment (Link)
    • Hearing Health: Physiological and neurological markers of hearing loss, tinnitus and hyperacusis (Link)
    • Speech, Language and Voice Health: Child language assessment and neurodegenerative voice biomarkers (Link)
    • Substance Use: Wearable smoking detection and cessation support, plus cannabis and alcohol use (Link)
    • Autism Spectrum Disorder: Smartphone-based screening and sport-based intervention (Link)
  • Brain-Computer Interface:
    • MindVoice: EEG-Enhanced Voice Assistance for Older Adults with Speech Impairments
    • Cancelable Brain Biometrics: Secure and Truly Cancelable EEG-based User Authentication
  • Advanced Cybersecurity and Biometrics:
    • Emerging Biometrics: Secure (e.g., cancelable) and Practical Biometric Systems in Ecological Environments
    • Biometrics Education: A Research Experiences for Undergraduates Site on Biometrics (Link)
    • Secure and Dependable 3D Printing: Investigating the Vulnerabilities of 3D Printing Systems
    • mmWave Radar Security in Autonomous Vehicles: Vulnerability identification and mitigation