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Current Teaching Courses
Scientific Visualization (Fall 2019)
Urban Data Visualization Software
A few open-source software we developed for visual analytics of urban data: TrajAnalytics, NeighborVis, and GeoVisuals.
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Tutorials and Workshops
Tutorial  on  IEEE Visualization Conferences, Oct., 2018, Berlin, Germany
Workshop  on IEEE Intelligent Transportation Systems Conferences, Oct., 2019, Auckland, New Zealand


Short Bio:

Ye Zhao is a 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 20 years. His current research projects include visual analytics of urban transportation data, multidimensional, text, and animated information visualization, patient-specific computational hemodynamics modeling, etc. 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, and ACM Transactions of 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 with more than $1.5 million by research grants from NSF, Ohio Board of Agents, etc. Supported by NSF, several open source software has been developed for domain researchers to conduct visual analytics tasks including TrajAnalytics, NeighborVis, and GeoVisuals. Seven doctoral students and many master students have been graduated under his supervision. Four 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 2017, he is awarded as one of the best reviewers of IEEE Transactions on Visualization and Computer Graphics.

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:

Visual Analytics and Information Visualization
    • Visual Analytics for Smart City and Community
    • Multi-Dimensional, Text and Categorical Data Visualization
    • Animated and Narrative Visualization
    • Distributed and Cloud Based Data Visualization
Lattice Boltzmann Based PDE Modeling
    • Computational Hemodynamics of Blood Flow
    • Medical Image Processing
    • GPU-based PDE Solver
Physically Based Fluid Modeling
    • Pattern Based Flow Control
    • Turbulent Flow Modeling

Funds:

National Science Foundation Grant OAC-1739491, PI, GeoVisuals Software: Capturing, Managing, and Utilizing GeoSpatial Multimedia Data for Collaborative Field Research

National Science Foundation Grant CNS-1637242, PI, S&CC: Support Community-Scale Study by Visual Analytics of Human Mobility and Opinion Data from Social Media Data

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)

Chao Ma (PhD Candidate)

Suphanut Jamonnak (PhD Student)

Md Amiruzzaman (PhD Student)

Xinyi Huang (PhD Student)

Deepshikha Bhadi (PhD Student)

Tsung Heng Wu (MS Student)

Previous Group Members:

Ph.D.:

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

Dissertation: Interactive Visual Querying and Analysis for Urban Trajectory Data

Farah Kamw (Ph.D., 2019), University of Duhok, KRG - Iraq

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), GraphSQL 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), Assistant Professor, The University of Jordan

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

M.S.:

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), Ebay Inc.

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


Last modified on 08/15/2019