Teaching Courses:

Spring, 2016

Information Visualization

Fall, 2015

Capstone Project

Fall, 2015

Advanced Computer Graphics

Research Group:            Wiki      (accessible by group members only)

Short Bio:

Ye Zhao is an associate professor in the Department of Computer Science at the Kent State University, Ohio, USA. He has been working on computer graphics and visualization for more than 15 years. His current research projects include patient-specific computational hemodynamics modeling, animated information visualization, and visual analytics of big urban data. He has published more than 50 refereed technical papers, many of which are on top-rated venues including ACM Transactions of Graphics and IEEE Transactions on Visualization and Computer Graphics. He has served in many program committees in the field of graphics and visualization including IEEE SciVis and VAST conferences. He has also reviewed hundreds of papers for journals and conferences in graphics, visualization, computational fluid dynamics, image processing, and high performance computing, as well as served in multiple NSF panels. His work has been supported by research grants from NSF, Ohio Board of Agents, etc. Three doctoral students and many master students have been graduated under his supervision. Three of them received the University Fellowship, the most outstanding scholarship at KSU. His students have been working as assistant professor or entering prestigious companies such as Google, Lockheed Martin, etc. Ye Zhao received Google Faculty Research Award in 2011. In Oct 2015, he was honored as Scholar of the Month by KSU.

Ye Zhao received B.S. and M.S. degrees in computer science from the Tsinghua University of China in 1997 and 2000. He further received his PhD degree in computer science from the Stony Brook University in 2006.

Research Interests:

Computational flow simulation and visualization

Information visualization

Visual analytics

Image and geometric processing

General purpose computing on graphics hardware (GPGPU)


National Science Foundation Grant ACI-1535031, PI, TrajAnalytics: A Cloud-Based Visual Analytics Software System to Advance Transportation Studies Using Emerging Urban Trajectory Data.

National Science Foundation Grant IIS-1352927, PI, Visualizing event dynamics with narrative animation.

National Science Foundation Grant IIS-0916131, PI, Real-time simulation system of turbulent fluids.

National Science Foundation REU, Research Experiences for Undergraduates.

Ohio Board of Agents (OBR) grant, PI, Visual analytics science and technology of Translational Biomedical Sciences.

Google Faculty Research Awards, Co-PI, Visualizing High Dimensional Categorical Datasets 

Research Group Members:

David Sheets (PhD Candidate)

Xiaoke Huang (PhD Candidate)

Zhiqiang Wang (PhD Candidate)

Shamal Al-Dohuki (PhD Candidate)

Farah Kamw (PhD Candidate)

Yingyu Wu (PhD Candidate)

Chao Ma (PhD Candidate)

Thomas Eynon (MS Student)

Previous Group Members:


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), Assistant Professor, The University of Jordan

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


Ding Chu (M.S., 2015), GraphSQL, California

Chao Ma (M.S., 2015), Kent State University (PhD)

Ryan ONeill (M.S., 2014), Georgia Tech Research Institute

Yingyu Wu (M.S., 2014), Kent State University (PhD)

Lijia Li (M.S., 2014)

Sean Reber (M.S., 2013), Explorys, Ohio

Jackson Cheenath (M.S., 2013), Motorola Solutions, Illinois

Hiroki Morimoto (M.S., 2010), SQUARE ENIX Japan

Aaron Hagan (M.S., 2009), Lockheed Martin, Texas

Visiting Scholars:

Haoran Xie, Postdoctoral Research Fellow, The University of Tokyo, Japan

Chunsheng Guo,Associate Professor, Hangzhou Dianzi University, China

Nan Geng, Associate Professor, Northwest A&F University, China

Last modified on 03/17/2016