Zhigang Deng
Scholar

Zhigang Deng

Google Scholar ID: Um2XpzkAAAAJ
Moores Professor of Computer Science, University of Houston
Human-Centered ComputingComputer GraphicsHuman Computer Interaction
Citations & Impact
All-time
Citations
3,450
 
H-index
28
 
i10-index
80
 
Publications
20
 
Co-authors
50
list available
Resume (English only)
Academic Achievements
  • Recipient of many awards including Moores Professorship, ACM ICMI Best Paper Runner-up Award, CASA Best Paper Awards, IEEE TCCLS Best Paper Award, ACM ICMI Ten Year Technical Impact Award, UH Teaching Excellence Award, ICRA Best Medical Robotics Paper Runner-up Award, and Google Faculty Research Award. His research has been funded by NSF, NIH, NASA, DOD, Texas NHARP, QNRP, and various industry sources (Google, Honda, Electronic Arts, Nokia, etc). He has served as conference/program co-chair for several international conferences and is an Associate Editor for IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, etc. His work has been incorporated into many de facto graphics/animation packages (including Maya and Houdini) and used in many game studios (e.g., Electronic Arts).
Research Experience
  • Worked at or consulted for Founder Group (China), AT&T Research, Tencent USA, and Qualcomm. Current research projects include flying insect modeling and simulation, large-scale farm scene modeling, analysis and modeling of human behaviors in multiparty conversations, and tele-mentoring for minimally invasive surgeries.
Education
  • Ph.D. in Computer Science from the University of Southern California (2006); M.S. in Computer Science from Peking University; B.S. in Mathematics from Xiamen University.
Background
  • Moores Professor of Computer Science and the Director of Graduate Studies at the Computer Science Department of University of Houston. His research interests are in human-centered computing, computer graphics and animation, human-computer conversation, and biomedical informatics.
Miscellany
  • Looking for new graduate or undergraduate students to join his group. Self-motivated students with solid math, vision, or graphics background are encouraged to apply. If already a current MS or PhD student in the UH Computer Science program and interested in working with him, it's recommended to take COSC6372 and/or COSC6356 courses.