Wenyao Xu
Assistant Professor
Office:
330 Davis Hall Buffalo, NY 14260-2500
Phone:
(716)645-4748
Fax:
(716)645-3464
Email:
wenyaoxu at buffalo dot edu
Openings: Our group is looking for postdoctoral researchers, Ph.D. students and undergraduate students.

Biography:

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) Lab. 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 (both with honor) in 2006 from Zhejiang University, China.

Research Overview: Read More

My work has been published in peer-reviewed top research venues across multiple disciplines, including Computer Science conferences (e.g., ASPLOS, ISCA, CCS, MOBICOM, SenSys, INFOCOM and DAC), Biomedical Engineering journals (e.g., IEEE TBME, TBioCAS, and JBHI), and Medicine journals (e.g., LANCET). I won four 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, the Wall Street Journal, National Public Radio, Los Angeles Times, and the National Science Foundation's News. My current research is in the interdisciplinary fields of:

  • Wireless Health: integrated smart sensing and mHealth data analytics to promote health/medical services (e.g., Stroke Rehabilitation, Parkinson Disease, Autism Spectrum Disorder and Elderly Care);
  • Smart Manufacturing: sensor exploiting methods to enhance efficiency, reliability and security of smart manufacturing (e.g., 3D printing systems);
  • Emerging Biometrics: future biometric technologies using physiological and behavioral traits for security and privacy applications (e.g., brain, heart and vein biometrics);
  • Innovative Systems: transformative architecture/system supports for emerging system (e.g., wearables/implants, internet of things).

Recent News: Read More

  • (2016/11) A milestone of our clinical study on "Smartphone Apps for Early Autism Detection". Read More.
  • (2016/10) Our research work on "Smartphone hacks 3D Printers" 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 about this work. Read More.

    Selected Recent Publications: Read More

  • [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", in ACM SenSys, Delft, Netherlands, Nov. 2017 (SenSys rate: 17.2%, 26 out of 151)
  • [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", in ACM MobiCom, Utah, USA, Oct. 2017 (MobiCom rate: 18.8%, 35 out of 186)
  • [ISCA'17] A. Wang, L. Chen, W. Xu, "XPro: A Cross-End Processing Architecture for Data Analytics in Wearables", in ACM/IEEE ISCA, Toronto, Canada, Jun. 2017 (ISCA rate: 16.8%, 54 out of 322)
  • [ASPLOS'17] J. Ajay, C. Song, A. Rathore, C. Zhou, W. Xu, "3DGates: An Instruction-level Energy Analysis and Optimization of 3D Printers", In ACM ASPLOS, Xi'an, China, April 2017 (ASPLOS rate: 17.4%, 56 out of 321)
  • [BHI'17] C. Song, A. Wang, F. Lin, R. Zhao, Z. Jin, Wenyao Xu, "A Tempo-spatial Compressed Sensing Architecture for Efficient High-throughput Information Acquisition in Organs-on-a-chip", in IEEE BHI, Orlando, Florida, Feb. 2017 [pdf] [bib] (Best Paper Award, ~0.3%, 1 out of 322)
  • [ASPDAC'17] A. Wang, C. Zhou, Z. Jin, W. Xu, "Towards Scalable and Efficient GPU-Enabled Slicing Acceleration in Continuous 3D Printing", in ACM/IEEE ASPDAC, Chiba/Tokyo, Japan, Jan. 2017 (Best Paper Nomination, ~3%, 11 out of 358)
  • [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", in ACM CCS, Vienna, Austria, Oct. 2016 (CCS rate: 16.4%, 137 out of 831)
  • [INFOCOM'16] C. Song, A. Wang, K. Ren, W. Xu, "EyeVeri: A Secure and Usable Approach for Smartphone User Authentication", in IEEE INFOCOM , San Francisco, California, April 2016 (INFOCOM rate: 18.2%, 300 out of 1644)