Computer Science Faculty

Wenwen Dou
Presonal Webpages: http://webpages.charlotte.edu/wdou1/ Degree Institution: University of North Carolina at Charlotte Degree: Ph.D. Education: Computer Science I’m Wenwen Dou, currently a research assistant professor at the Charlotte Visualization Center. I work in the cutting-edge research area of Visual Text Analytics, which integrates statstical and machine learning methods with powerful interactive visualization for analyzing large amounts […]

Liyue Fan
Personal Website: https://webpages.charlotte.edu/lfan4/index.html Lab and Website: Privacy Lab Ph.D. Institution: Emory University Research Description: Dr. Liyue Fan’s research is at the intersection of data privacy and spatio-temporal databases. She was named one of the “Rising Stars in EECS” by MIT in 2015. Her recent research work has focused on developing privacy-preserving methods for computer vision, […]

John Gero
Personal Website: http://johngero.com Degree Institution: University of Sydney Degree: Ph.D. Education: Architecture Research Areas: Cluster Computing Research Description: Dr Gero’s research is based on the notion that designing is itself a meta-discipline practiced in multiple disciplines such as software design, hardware design, engineering, architecture, and industrial design. His research in design as a meta-discipline commenced […]



Daniel Jugan
Personal Website: http://webpages.charlotte.edu/djugan/


Siddharth Krishnan
Siddharth is a new faculty in the department of computer science (College of Computing and Informatics) at UNCC. His research interests are in web-mining, data analytics, computational social science, and applied machine learning with a primary emphasis on analyzing, characterizing, and forecasting information (news, rumors, memes, advertisements, etc.) dynamics on online social networks & social […]

Christian Kuemmerle
Personal Website: http://ckuemmerle.com Degree Institution: Technical University of Munich Degree: Ph.D. in Mathematics Research Areas: Mathematical Foundations of Machine Learning, Non-Convex Optimization, Trustworthy Machine Learning, Scalable Algorithms, Information Theory, Recommender Systems Dr. Christian Kümmerle’s research interests are in the mathematical foundations of machine learning and the development and analysis of efficient algorithms for large scale […]

Jake Lee
Personal Website: http://webpages.charlotte.edu/mlee173 Lab and Website: Video and Image Analysis Lab Ph.D. Institution: Colorado State University Research Description: Dr. Jake Lee’s research interests are in foundational machine learning, with an emphasis on reinforcement learning. Recent projects in robotics, adaptive systems, human-AI interactions are investigated under NSF and NIH support. Diverse angles of learning including knowledge […]