Visual Intelligence Laboratory
About Us
The Visual Intelligence Laboratory is a research group I direct at the University of Iowa. We conduct fundamental research in computational geometry, vision, and machine learning, targeting at a wide variety of multidisciplinary applications—geometric machine (deep) 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!
Join Our Group!
We are always looking for a self-motivated, highly competent, and friendly graduate students to pursue Ph.D. degree. For all positions, the minimum requirements are as follows:
- Bachelor’s degree in a relevant discipline (engineering, computer science, etc.);
- Proficiency in at least one programming language (C/C++, Python, MATLAB, etc.);
- B+ or above in linear algebra or equivalent; AND
- Capability to communicate in spoken/written English.
Students with one or more of the following qualifications will be preferred:
- Master’s degree in engineering, computer science, or other relevant areas
- B+ or above in computer vision, machine learning, computer graphics, and/or similar courses
- One or more published articles in peer-reviewed international journals/conferences
- Software development experience (other than school projects)
Students with the above qualifications are strongly encouraged to contact Prof. Stephen Baek (stephen-baek@uiowa.edu) by sending an up-to-date CV and official/unofficial transcripts.
Facility and Equipment
Studio360
Driver360
GPU Computing Server
Form II
MakerBot Z18 Replicator
Faculty
Stephen Baek, Ph.D.
4611 Seamans Center, Iowa City, IA 52242, United States
stephen-baek@uiowa.edu
http://www.stephenbaek.com
+1 (319) 384-0810
Affiliations:
- Assistant Professor of Industrial and Systems Engineering (Primary)
- Assistant Professor of Electrical and Computer Engineering
- Assistant Professor of Radiation Oncology
- Researcher, Center for Computer-Aided Design
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:
- Ph.D. Mechanical and Aerospace Engineering, Seoul National University, Korea, 2013.
- B.S. Mechanical and Aerospace Engineering, Seoul National University, Korea, 2009.
Research Scientists
Siyeop Yoon
Nima Hamidi Ghalehjegh
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
nima-hamidi@uiowa.edu
Bio:
I am pursuing a Master of Computer Science at the University of Iowa. Prior to this, I received a Ph.D. in music composition from the University of Iowa. I am currently working as a graduate research assistant at the Visual Intelligence Laboratory located in the Center for Computer-Aided Design (CCAD). My research interests include signal processing, computational musicology, and machine learning. More recently I am working on the integration of deep learning in both computer vision and music information retrieval tasks.
Education:
- M.S. Computer Science, University of Iowa, 2019 (expected).
- Ph.D. Music Composition, University of Iowa, 2017.
- M.A. Music Composition, Soureh Institution of Higher Education, Tehran, Iran, 2010.
- B.S. Civil Engineering, Azad University, Iran, 2007.
Ph.D. Students
Zhiyu Sun
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
zhiyu-sun@uiowa.edu
Bio:
I am currently a Ph.D student in Industrial Engineering at the University of Iowa. I work as a graduate research assistant at the Visual Intelligence Laboratory at the Center for Computer-Aided Design (CCAD). I received my B.S. and M.S. degrees in Mechanical Engineering from the University of Iowa (2014, 2015) with an elective focus area in solid mechanics. My current research interest is in computational design, mainly focused on design algorithms based on performance-geometry relationship. I am currently studying fundamental computational geometry theories such as statistical shape analysis, shape descriptor, correspondence detection, and etc., and utilizing machine learning algorithms to automate geometry design processes.
Education:
- Ph.D. Industrial Engineering, University of Iowa, 2019 (expected).
- M.S. Mechanical Engineering, University of Iowa, 2015.
- B.S. Mechanical Engineering, University of Iowa, 2014.
Yusen (Forest) He
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
yusen-he@uiowa.edu
Bio:
I am a PhD student in Industrial Engineering at the University of Iowa. I have received my B.S. in Applied Mathematics in 2013 from Chengdu University of Technology in China and M.S. in Statistics with an emphasis in Actuarial Science in 2015 from the University of Iowa. I am currently working as a graduate research assistant at the Visual Intelligence Laboratory at the Center for Computer-Aided Design (CCAD). My research interest is on the application of deep learning techniques to discover the relationship between the process parameters and the manufacturing quality in 3D metal printing processes.
Education:
- Ph.D. Industrial Engineering, University of Iowa, 2019 (expected).
- M.S. Statistics (with emphasis in Actuarial Science), University of Iowa, 2015.
- B.S. Applied Mathematics, Chengdu Univerity of Technology, China, 2013.
Se Hyun (Eric) Chun
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
sehyun-chun@uiowa.edu
Bio:
I am a Ph.D student in Industrial Engineering at the University of Iowa. I received my B.S. degrees in Physics and Mathematics in 2017 from the University of Iowa. I am working as a graduate research assistant at the Visual Intelligence Laboratory at the Center for Computer-Aided Design (CCAD). I am currently studying markerless human motion capture techniques applied with deep machine learning approaches.
Education:
- B.S. Physics, University of Iowa, 2017.
- B.S. Mathematics, University of Iowa, 2017.
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:
- B.S. Computer Science, University of Iowa, 2016.
- B.S. Mathematics, University of Iowa, 2016.
Venous Roshdibenam
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
venous-roshdibenam@uiowa.edu
Bio:
N/A
Education:
N/A
M.S. Students
Benjamin Perlson
208 Engineering Research Facility, 330 S. Madison St., Iowa City, IA 52242, United States
benjamin-perlson@uiowa.edu
+1 (847) 722-7722
Bio:
I am currently an undergraduate student in Industrial Engineering, at the University of Iowa. My focus in my degree is in design and manufacturing. I work as a research assistant at the Visual Intelligence Laboratory at the Center for Computer-Aided Design (CCAD). I am very interested in machine learning, 4D motion capture, and task analysis.
Education:
- BS/MS Industrial Engineering, University of Iowa, 2019 (Expected).