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1994 …2026

Research activity per year

Personal profile

Biography

I received a PhD in computer science from The Ohio State University in 1998. I am currently a professor in the Computer Science Department at Stony Brook University and I am also a senior scientist at the Computational Science Initiative at Brookhaven National Lab. From 2023-2026 I served as interim chair of the Department of Tech, AI, and Society, and from 2012-2015 I served as the founding chair of the Computer Science Department at SUNY Korea and VP for Academic Affairs and Finance. My current research interests are visual analytics, explainable AI, machine learning and data science, human-centered responsible AI, fairness, belief modeling and personalized communication, virtual and augmented realityand computational and medical imaging. I won the US National Science Foundation Early Career award in 2001, the SUNY Chancellor Award for Excellence in Scholarship and Creative Activity in 2011, and the Meritorious Service Certificate and the Golden Core Award of the IEEE Computer Society in 2016. In 2018 I was inducted into the US National Academy of Inventors. To date, I have authored more than 300 peer-reviewed journal and conference papers, which have been cited more than 15,000 times. I am a frequent speaker at international conferences, have organized or participated in 18 tutorials on various topics, chaired the IEEE Visualization Conference in 2009, was the elected chair of the IEEE Technical Committee on Visualization and Computer Graphics (VGTC) from 2012-2015, and served as the Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics from 2019-2022. I am a Fellow of the IEEE. (Please see here for a bio in the third person).

 

Research interests

Visual analytics -- Visualization, visual data science, visual storytelling, explainable AI, infovis, HCI
Human-centered responsible AI -- Fairness, bias, belief modeling, and personalized communication
Computational imaging -- Computed tomography, low-dose, GAN-synthesis, GPU-acceleration
Volume visualization -- Medical and scientific visualization, multivalued data w/geo-reference
Virtual reality -- Virtual, augmented, mixed reality, display walls, immersive visualization
Cognitive computer graphics -- Color, texture, details, points, perception, cognition, semiotics
Filters and grids -- Sampling, hexagonal amd body-centerered lattices, extensions to N-D
Eyetracking -- Visualization for eye tracking data, acquisition, applications
Natural phenomena -- Simulation, urban security applications,GPU-acceleration
Face recognition (this is no longer an active research topic)
All my publications via Google Scholar

 

Education/Academic qualification

PhD, Computer Science , The Ohio State University

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