Wenyao Xu
Assistant Professor
330 Davis Hall Buffalo, NY 14260-2500
wenyaoxu at buffalo dot edu
Openings: Our group is looking for postdoctoral researchers, Ph.D. students and undergraduate students.


I am an Assistant Professor of Computer Science and Engineering Department in the State University of New York (SUNY) at Buffalo since 2013, where I direct the ESC (Embedded Sensing and Computing) Group. I received the Ph.D. degree from University of California, Los Angeles (UCLA) in 2013. I got both M.S. degree in 2008 and B.S. degree  in 2006 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 new Internet of Things (IoT) systems for high-impact real-world applications in the fields of healthcare, security and manufacturing. Results has been published in peer-reviewed top research venues across multiple disciplines, including Computer Science conferences (e.g., ACM SenSys, MobiSys, UbiComp, MobiCom, ASPLOS, ISCA and CCS), Biomedical Engineering journals (e.g., IEEE TBME, TBioCAS, and JBHI), and Medicine journals (e.g., LANCET). My group won six best paper awards, one best paper nomination and two international best design awards. My inventions have been filed within U.S. and internationally as patents, and have been licensed to several industrial players. My research has been reported in various 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.

Our group has been supported by National Science Foundation (NSF), National Institute of Health (NIH), National Institute for Occupational Safety and Health (NIOSH), SUNY RF, and University at Buffalo. Selected research projects are as below:

  • Smart Health:
    • mRehab: Scalable mHealth Technologies using 3D Printing for Stroke Rehabilitation (Project Website) - Active
    • EarlySee: Pervasive Autism Screening in Infancy and Toddlerhood (Project Website) - Active
    • CSArch: Novel Architectures for Energy-Efficient Wearable Sensing (Project Website) - Completed
  • Emerging Biometrics:
    • Cardiac Password: A Non-Contact and Continuous Heart Biometric System (Project Website) - Active
    • Brain Hacking: Harnessing the Vulnerabilities of Brain Biometric System - Active
    • Brain Password: A Non-volitional and Psychophysiological Authentication System - Completed
  • Smart Manufacturing:
    • 3D Printing Acceleration in Mass Customization (Project Website) - Completed

Recent News: Read More

  • (2018/04) Our research product EarlySee, an app to screen Autism among infants and toddlers, was released on the World Autism Awareness Day, on April 2nd 2018. EarlySee is a high-accessible technology to estimate the risk of autism towards infants and toddlers. The product is reported by multiple national and international TV media, including Fox8, Fox6 and CNN. You visit the project website and download EarlySee from Google Play Store now. Read More
  • (2017/10) Our research work on "Heart Scan: A Novel Distance Heart-based Biometrics" (MobiCom'17) is featured in many media outlets. Here is a 1-minute video introduction [MobiCom Video]. Tech fans also create video clips (e.g., [Video1], [Video2] and [Video3]) to introduce Cardiac Scan from different angles. Read More
  • (2016/10) Our research work on "Smartphone hacks 3D Printers" (CCS'16) is reported by more than 80 public media outlets, including National Science Foundation's News, Communications of the ACM news, Science Daily, Digital Trend, Fedscoop, and 3DPrint. Interestingly,  NSF Science 360 releases a video clip about this work. Read More

    Selected Recent Publications: Read More

  • [MobiSys'18] F. Lin, K. Cho, C. Song, W. Xu, Z. Jin, "Brain Password: A Secure and Truly Cancelable Brain Biometrics for Smart Headwear", ACM MobiSys, Germany, June 2018
  • [SenSys'17] A. Wang, T. Wang, C. Zhou, W. Xu, "LuBan: Low-Cost and In-Situ Droplet Micro-Sensing for Inkjet 3D Printing Quality Assurance", ACM SenSys, Delft, Netherlands, Nov. 2017
  • [MobiCom'17] F. Lin, C. Song, Y. Zhuang, W. Xu, C. Li, K. Ren, "Cardiac Scan: A Non-Contact and Continuous Heart-Based Authentication System", ACM MobiCom, Utah, USA, Oct. 2017
  • [ISCA'17] A. Wang, L. Chen, W. Xu, "XPro: A Cross-End Processing Architecture for Data Analytics in Wearables", ACM/IEEE ISCA, Toronto, Canada, Jun. 2017
  • [ASPLOS'17] J. Ajay, C. Song, A. Rathore, C. Zhou, W. Xu, "3DGates: An Instruction-level Energy Analysis and Optimization of 3D Printers", ACM ASPLOS, Xi'an, China, April 2017
  • [CCS'16] C. Song, F. Lin, Z. Ba, K. Ren, C. Zhou, W. Xu, "My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers", ACM CCS, Vienna, Austria, Oct. 2016