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 PhD 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 over 100 scientific peer-reviewed publications in various top research venues, and has been recognized across several disciplines. Testaments to this recognition are my publications in prestigious computer science conferences (e.g., ASPLOS/CCS/ISCA/INFOCOM/DAC/ISLPED), top biomedical engineering journals (e.g., IEEE TBME, TBioCAS, and JBHI), and prestigious medicine journals (e.g., LANCET). I won four best paper awards (i.e., IEEE BHI 2017, IEEE BSN 2012/2013 and ACM WH 2011) and one best design award (i.e., the International 3D Printing Competition 2016). 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, security of smart manufacturing (e.g., 3D printing systems);
  • Emerging Systems: emerging systems (e.g., wearables/implants) for intelligent sensing and computing in real-world applications.

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

  • [ISCA'17] "XPro: A Cross-End Analytic Engine Architecture for Wearable Computing", ACM/IEEE International Symposium on Computer Architecture, Toronto, Canada, June 2017
  • [ASPLOS'17] "3DGates: An Instruction-level Energy Analysis and Optimization of 3D Printers", ACM International Conference on Architectural Support for Programming Languages and Operation Systems, 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 International Conference on Biomedical and Health Informatics, Orlando, Florida, February 2017  (Best Paper Award)
  • [ASPDAC'17] "Towards Scalable and Efficient GPU-Enabled Slicing Acceleration in Continuous 3D Printing", ACM/IEEE Asia and South Pacific Design Automation Conference, Chiba/Tokyo, Japan, January 2017 (Best Paper Nomination)
  • [CCS'16] "My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers", ACM Conference on Computer and Communications Security, Hofburg Palace, Vienna, Austria, October 2016
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