Liqiang Wang
Scholar

Liqiang Wang

Google Scholar ID: mZKxB10AAAAJ
Professor of Computer Science, University of Central Florida
Big DataDeep LearningBlockchainProgram AnalysisParallel Computing
Citations & Impact
All-time
Citations
3,929
 
H-index
26
 
i10-index
70
 
Publications
20
 
Co-authors
14
list available
Contact
Resume (English only)
Academic Achievements
  • He received the NSF CAREER Award in 2011, Castagne Faculty Fellowship (2013-2015), and Mid-Career Refresh Award (UCF, 2020). He has published multiple papers in top conferences such as CVPR and ECCV, and has received grants from Google and Meta.
Research Experience
  • He was a visiting Research Scientist at IBM T.J. Watson Research Center during 2012-2013. Currently, he is the director of the Big Data Lab at the University of Central Florida. Previously, he was a faculty member in the Department of Computer Science at the University of Wyoming (2006-2015).
Education
  • He received his Ph.D. in Computer Science from Stony Brook University in 2006.
Background
  • His research focuses on big data computing and analytics techniques, including improving the accuracy and security of big data analysis models, optimizing the performance and scalability of big data processing and parallel computing systems, and using program analysis and deep learning techniques to detect and prevent programming errors and execution anomalies in big data or parallel programs. He is currently a professor in the Department of Computer Science at the University of Central Florida.