Wenyao Xu
Associate 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.


Dr. Xu is an Associate 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 150 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) in 2013. He 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 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 conferences (e.g., ACM SenSys, MobiSys, UbiComp, MobiCom, ASPLOS, ISCA, HPCA and CCS), Biomedical Engineering journals (e.g., IEEE TBME, TBioCAS, and JBHI), and Medicine journals (e.g., LANCET). Our group won six best paper awards, one best paper nomination and two 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.

Our research 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
    • mPD: Passive Daily-life Activity Monitoring for Parkinson Disease Screening and Self-management  -Active
  • Cyber-Physical Security:
    • Heart Biometrics: A Non-Contact and Continuous Heart Biometric System (Project Website) - Active
    • Brain Biometrics: A Secure and Truly Cancelable Biometric System  - Active
    • Secure and Dependable 3D Printing: Investigating the Vulnerabilities of 3D Printing Systems - Active
    • Vessel Biometrics: A Secure 3D Vessel Biometric System using Photoacoustic Effects - Completed
  • IoT Design & Implementation:
    • PASense: Exploring Novel Wireless and Photoacoustic Sensing on Mobile Applications - Active
    • 3D Printing Acceleration in Mass Customization (Project Website) - Completed
    • CSArch: Novel Architectural Support for Energy-Efficient Wearables (Project Website) - Completed

Selected Research News: Read More

  • (2018/10) Our research work on "Fingerprinting 3D Printers" (ACM CCS'18) drives emerging challenges of abusing 3D printers for unethical and criminal activities. Our product PrinTracker receives tremendous attentions from over 50 public media outlets, including VICE, CNET, ZDNet and New Atlas. Read More
  • (2018/10) Our team published a Popular Science article in The Conversation about our research work "Brain Password: a truly cancelable biometrics" (ACM MobiSys'18). Brain Password is the first secure and truly cancelable biometrics by exploiting the dynamics and high capacity of human brain. Over 100 renowned public media outlets follow up the story, including Fast Company Daily Mail, and Business Standard. 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" (ACM 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" (ACM 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 Publications: Read More

  • [MobiCom'19] "PDVocal: Towards Privacy-preserving Parkinson’s Disease Detection using Non-speech Body Sounds", ACM MobiCom, Los Cabos, Mexico, October 2019
  • [MobiHoc'19] "DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data", ACM MobiHoc, Catania, Italy, July 2019
  • [MobiSys'19] "WaveEar: Exploring a mmWave-based Noise-resistant Speech Sensing for Voice-User Interface", ACM MobiSys, Seoul, South Korea, June 2019
  • [MobiSys'19] "SpecEye: Towards Pervasive and Privacy-Preserving Screen Exposure Detection in Daily Life", ACM MobiSys, Seoul, South Korea, June 2019
  • [RTAS'19] "PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing", IEEE RTAS, Montreal, Canada, April, 2019
  • [ASPLOS'19] "ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs using Alternating Direction Methods of Multipliers", ACM ASPLOS, Providence, RI, USA, April 2019
  • [HPCA'19] "E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs", IEEE HPCA, Washington D.C., USA, February 2019
  • [SenSys'18] "E-Eye: Hidden Electronics Recognition through mmWave Nonlinear Effects", ACM SenSys, Shenzhen, China, November 2018 (Best Paper Runner-up) [Video Demo]
  • [MobiCom'18] "Towards Environment Independent Device Free Human Activity Recognition", ACM MobiCom, New Delhi, India, October 2018
  • [CCS'18] "PrinTracker: Fingerprinting 3D Printers using Commodity Scanners", ACM CCS, Toronto, Canada, Oct. 2018
  • [UbiComp'18] "Watching and Safeguarding Your 3D Printer: Online Process Monitoring Against Cyber-Physical Attacks", ACM UbiComp, Singapore, October 2018
  • [UbiComp'18] "PAvessel: Practical 3D Vessel Structure Sensing through Photoacoustic Effects with its Applications in Palm Biometrics", ACM UbiComp, Singapore, October 2018
  • [UbiComp'18] "My Smartphone Recognizes Genuine QR Codes! Practical Unclonable QR Code via 3D Printing", ACM UbiComp, Singapore, October 2018
  • [ICDCS'18] "Towards Personalized Learning in Mobile Sensing Systems", IEEE ICDCS, Vienna, Austria, July 2018
  • [MobiSys'18] "Brain Password: A Secure and Truly Cancelable Brain Biometrics for Smart Headwear", ACM MobiSys, Munich, Germany, June 2018
  • [BHI'18] "A Pervasive and Sensor-Free Deep Learning System for Parkinsonian Gait Analysis", IEEE BHI, Las Vegas, Nevada, March 2018 (Best Poster Paper Award, 3 out of 164)
  • [HotMobile'18] "Exploring Eye Adaptation in Head-Mounted Display for Energy-Efficient Smartphone Virtual Reality", ACM HotMobile, Tempe, Arizona, February 2018 (Best Demo Paper Award)
  • [SenSys'17] "LuBan: Low-Cost and In-Situ Droplet Micro-Sensing for Inkjet 3D Printing Quality Assurance", ACM SenSys, Delft, Netherlands, November 2017
  • [MobiCom'17] "Cardiac Scan: A Non-Contact and Continuous Heart-Based Authentication System", ACM MobiCom, Utah, USA, October 2017
  • [ISCA'17] "XPro: A Cross-End Processing Architecture for Data Analytics in Wearables", ACM/IEEE ISCA, Toronto, Canada, June 2017
  • [ASPLOS'17] "3DGates: An Instruction-level Energy Analysis and Optimization of 3D Printers", ACM ASPLOS, Xi'an, China, April 2017
  • [BHI'17] "A Tempo-spatial Compressed Sensing Architecture for Efficient High-throughput Information Acquisition in Organs-on-a-chip", IEEE BHI, Orlando, Florida, February 2017 (Best Paper Award, 1 out of 322)
  • [CCS'16] "My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers", ACM CCS, Vienna, Austria, October 2016
  • [INFOCOM'16] "EyeVeri: A Secure and Usable Approach for Smartphone User Authentication", IEEE INFOCOM, San Francisco, California, April 2016