Visual Intelligence Laboratory

About Us

The Visual Intelligence Laboratory is a research group conducting fundamental research works in computational geometry, vision, and machine learning. We target a wide variety of multidisciplinary applications such as geometric machine learning, statistical shape analysis, 4D scanning, computational design and fabrication, digital human modeling, driver state detection/analysis, sports performance analytics, injury prediction, etc. Interested students, researchers, or any other individuals are always welcome to contact us!


 

Faculty

Stephen Baek, Ph.D.

P.O. Box 400249, Charlottesville, VA 22904, United States
my last name (at) virginia (dot) edu
http://www.stephenbaek.com

Bio:

I’m interested in theories and applications of computational geometry and machine learning, or more specifically, I’m interested in mathematical representations and algorithms for learning trends and patterns in geometric objects. For my research, I have a lot of fun with photographs, videos, depth images, 3D models/scans, and medical images. My current and past research spans a variety of interdisciplinary subjects including statistical human body shape analysis and modeling, vision-based human motion tracking and analysis, driver state monitoring in autonomated/autonomous vehicles, data-driven physics simulation, and medical image analysis.

Curriculum Vitae
Google Scholar Citation Record

Education:


 

Research Scientists

Phong Nguyen, Ph.D.


 

Ph.D. Students

Heesu Kim

208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
heesu-kim@uiowa.edu

Bio:

I am a Ph.D student in Industrial and Systems Engineering at the University of Iowa. I have received my B.S.E. and M.E. degrees in Naval Architecture & Ocean Engineering from Inha University in Korea and an MPhil degree in Naval Architecture & Marine Engineering from the University of Strathclyde in the United Kingdom. I am currently working as a Graduate Research Assistant at the Visual Intelligence Laboratory. My research interest includes 3D human posture estimation and reconstruction from videos using machine learning.

Education:


 

Joseph Choi

208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
boogun-choi@uiowa.edu

Bio:

I am a Research Assistant at the Visual Intelligence Laboratory at the Center for Computer Aided Design (CCAD). I have received my B.S. degrees in Computer Science and Mathematics from the University of Iowa in 2016 with focus on the Computational Mathematics and Big Data. My research interest is in machine learning, differential geometry, and manifold theory. I am currently studying 3D human models, specifically methods for generating statistically realistic 3D human models.

Education:


 

Master’s Students

Jessica Shull

208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
jessica-shull@uiowa.edu

Bio:

I am a first year Ph.D. student in Industrial Engineering at the University of Iowa. I received my B.S.E. in Biomedical Engineering from the University of Iowa in 2018. I now work as a graduate research assistant at the Visual Intelligence Laboratory at the Center for Computer-Aided Design (CCAD) on campus. I am also an ergonomics trainee in the Heartland Center for Occupational Health and Safety. My research focus is on biomechanics and ergonomics, and combining these concepts with machine learning algorithms. I am currently studying the application of machine learning to human motion analysis techniques.

Education:


 

Alumni

Doctoral Students

Master’s Students

Postdocs & Visiting Scholars