Gang Hua

Gang Hua (Chinese: 华刚; born 1979) is a Chinese-American computer scientist who specializes in the field of computer vision and pattern recognition. He is an IEEE Fellow,[1] IAPR Fellow[2] and ACM Distinguished Scientist.[3] He is a key contributor to Microsoft's Facial Recognition technologies. [4]

The native form of this personal name is Hua Gang. This article uses Western name order when mentioning individuals.
Gang Hua
Born
Hunan, China
CitizenshipU.S.A.
Alma materNorthwestern University
Xian Jiaotong University
Known forComputer Vision
Pattern Recognition
Machine Learning
Robotics
Artificial Intelligence
AwardsIAPR Young Biometrics Investigator Award (2015)
Scientific career
FieldsComputer Science
Electrical Engineering
Computer Engineering
InstitutionsWormpex AI Research
Websitewww.ganghua.org

Biography

Gang Hua is the Vice President and Chief Scientist of Wormpex AI Research. His research focuses on computer vision, pattern recognition, machine learning, robotics, towards general Artificial Intelligence, with primary applications in cloud and edge intelligence, and currently with a focus on new retail intelligence.[5]

Before that, he served in various roles at Microsoft (2015-18) as the Science/Technical Adviser to the CVP of the Computer Vision Group, Director of Computer Vision Science Team in Redmond and Taipei ATL, and Principal Researcher/Research Manager at Microsoft Research. He was an Associate Professor in Computer Science at Stevens Institute of Technology (2011-15). During 2014-15, he took an on leave and worked at Amazon (company) on the Amazon-Go project. He was an Visiting Researcher (2011-14) and a Research Staff Member (2010-11) at IBM Thomas J. Watson Research Center, a Senior Researcher (2009-10) at Nokia Research Center Hollywood[6], and a Scientist (2006-09) at Microsoft Live Labs.

He received his Ph.D. degree in Electrical Engineering and Computer Engineering from Northwestern University in 2006. He received his M.S. degree in Pattern Recognition and Intelligent System in 2002 and B.S. degree in Control Engineering and Science in 1999, both from Xi'an Jiaotong University. In 1994, he was selected to the Special Class for Gifted Young in Xi'an Jiaotong University.

Services

He is a general chair for IEEE/CVF International Conference on Computer Vision 2025. He is a program chair for IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019 [7] and 2022.

He is also a member of the editorial board of International Journal of Computer Vision, an Associate Editor in Chief for Computer Vision and Image Understanding (journal), and an Associate Editor for IAPR Journal of Machine Vision and Applications. He was An Associate Editor for IEEE Transaction on Image Processing for two terms (2012-2015, 2017-2019) and IEEE Transaction on Circuit Systems and Video Technologies (2015-2019), and Vision and View Department Editor for IEEE Multimedia Magazine (2011-16).

Awards

In 2018, Hua was elevated to a Fellow of Institute of Electrical and Electronics Engineers for contributions to Facial Recognition in Images and Videos.[1]. In 2016, Hua was elected as a Fellow of International Association for Pattern Recognition for contributions to visual computing and learning from unconstrained images and videos[2] and a Distinguished Scientist of Association for Computing Machinery for contributions to Multimedia and Computer Vision.[3] He is the recipient of the 2015 IAPR Young Biometrics Investigator Award for contributions to Unconstrained Face Recognition in Images and Videos.[8]

gollark: no.
gollark: Anyway, osmarks.tk™ free hosting™ is available for signups, by which I mean you have to ask me it's entirely manual.
gollark: ???
gollark: Ideally, self-driving cars which run neural networks which are not susceptible to weird attacks.
gollark: Because:- if they're not robust against these problems, then a leak of the network means you can meddle with cars- it makes it harder for new companies to enter the self-driving-car space- you would need some sort of really evil DRM scheme to stop people just... reading the neural network out of the car's computer systems- trusting your life to closed-source systems is problematic

References
  1. "2019 Newly Elevated Fellows - IEEE" (PDF). IEEE Fellows Directory. 30 November 2018.
  2. "IAPR Fellows for 2016". 13 January 2017IAPR Fellows Directory.
  3. "ACM Recognizes Distinguished Members for Computing Innovations that Transform Society". ACM Media Center. 30 November 2016.
  4. "Microsoft researchers earn distinctions from premier computing society". Microsoft Research Blog. 8 December 2016.
  5. "Gang Hua's Personal Web". Gang Hua's Personal Website.
  6. "Nokia Research Center: Welcome to Hollywood". ADWEEK. 21 November 2011.
  7. "2019 CVPR2019 Organizers". CVPR2019 Conference Website. 30 May 2018.
  8. "IAPR Awards-Young Biometrics Investigator Award". IAPR Young Biometrics Investigator Award.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.