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Current Teaching Courses
Information Visualization (Spring 2021)
Visualization Software
Software Website: Open-source software developed for domain researchers and practitioners.

Short Bio:

Ye Zhao is a professor in the Department of Computer Science at the Kent State University, Ohio, USA. His current research focuses on data management, analysis, and visualization techniques for data science, AI, smart city and intelligent transportation, image processing, simulation and modeling, and computing systems. His research has been steered towards wider publicity through a set of open-source software (Software Website) of big data management and visual analytics in urban study and transportation, biological and health sciences, physical sciences, and social studies. He has published numerous refereed technical papers, many of which are on top-rated venues including IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Intelligent Transportation Systems, International Journal of Geographical Information Science, ACM Transactions of Graphics and more. He has served in many program committees including IEEE SciVis and VAST conferences. His research has been supported by multiple extramural grants. Ye Zhao received his PhD degree in computer science from the Stony Brook University, State University of New York in 2006. He held B.S. and M.S. degrees in computer science from the Tsinghua University in 1997 and 2000.

Research Interests:

        Data Science: Big Data Analytics and Visualization    

        Artificial Intelligence: Visual Explanation of Deep Learning Models and Applications 

        Smart City and Intelligent Transportation: Urban Mobility, Visual, and Geo-coded Data Analysis

        Image Processing: Scientific Image Classification; Medical Image Processing with GPUs 

        Simulation and Modeling: Physically Based Fluid Modeling and Flow Simulation 

        Computing Systems: Open Software for Data Analysis, Management, and Visualization 

Current PhD Advisees:

David Sheets (PhD Candidate)

Suphanut Jamonnak (PhD Candidate)

Md Amiruzzaman (PhD Candidate)

Xinyi Huang (PhD Candidate)

Deepshikha Bhadi (PhD Candidate)

Tsung Heng Wu (PhD Student)

Previous PhD Advisees:

Chao Ma (Ph.D., 2020), Gamma Technologies Inc., Illinois

Dissertation: Visual Analytic Technique and System of Spatiotemporal-Semantic Events

Shamal Al-Dohuki (Ph.D., 2019), Assistant Professor, University of Duhok, KRG

Dissertation: Interactive Visual Querying and Analysis for Urban Trajectory Data

Farah Kamw (Ph.D., 2019), Assistant Professor, Concordia University Ann Arbor, Michigan

Dissertation: “Utilizing Big Trajectory Data for Urban Visual Analytics and Accessibility Studies

Zhiqiang Wang (Ph.D., 2017), Gamma Technologies Inc., Illinois

Dissertation: “Studying Computational Methods for Biomedical Geometry Extraction and Patient Specific Hemodynamics

Xiaoke Huang (Ph.D., 2016), LinkedIn Inc., California

Dissertation: “Using Graph Modeling in Several Visual Aanalytics Tasks

Fan Chen (Ph.D., 2015), Google Inc., California

Dissertation: “Enhancing Fluid Modeling with Turbulence and Acceleration

Zhi Yuan (Ph.D., 2013), Gamma Technologies Inc., Illinois

Dissertation: Fluid Modeling with Stochastic and Structural Features  

Jamal Alsakran (Ph.D., 2012), Associate Professor, Higher Colleges of Technology, UAE

Dissertation: “Supporting Interactive Visual Analytics for High Dimensional Data Exploration ”

Last modified on 12/13/2020