Written by stephenbaek

Visual Intelligence Laboratory

About Us

The Visual Intelligence Laboratory @ UVA (the “VIVA Lab”) is a research group directed by Professor Stephen Baek at the University of Virginia School of Data Science. We tackle both fundamental and applied research problems in geometric data analysis to understand the roles of geometry in various scientific phenomena. Interested students, researchers, or any other individuals are always welcome to contact us!


 

Faculty

Prof. Stephen Baek, Ph.D.

Elson 189A, 400 Brandon Ave., Charlottesville, VA 22903, 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. 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. See here for more details.

Curriculum Vitae
Google Scholar Citation Record

Education:


 

Prof. Phong Nguyen, Ph.D.

Elson 188B, 400 Brandon Ave., Charlottesville, VA 22903, United States
phongnguyen (at) virginia (dot) edu

Bio:

My research interest is at the intersection of mechanical engineering and data science in which novel data-driven methods are proposed to solve engineering problems. My main areas of research include physics-informed machine learning, deep generative modeling, uncertainty quantification and robust design optimization, all for the application in materials and structural design.

Google Scholar Citation Record

Education:


 

Research Scientists

Dominik Mattioli, Ph.D.

Elson 153, 400 Brandon Ave., Charlottesville, VA 22903, United States
urp6gg (at) virginia (dot) edu


 

Mohammad Shafkat Islam, Ph.D.

Elson 153, 400 Brandon Ave., Charlottesville, VA 22903, United States
vwp4tr (at) virginia (dot) edu

Bio:

I am interested in machine-learning and deep-learning-based applications for solving real-life medical imaging problems. My current and previous research focus on developing various state-of-the-art deep learning and medical imaging algorithms for segmentation and classification from various types of medical image data, and to assist clinicians in different tasks, including identifying the severity and cause of ophthalmic diseases and identifying the boundaries of each instance of neurons.

Google Scholar Citation Record

Education:


 

Ph.D. Students

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 received my B.S. degrees in Computer Science and Mathematics from the University of Iowa in 2016 with a focus on 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:


 

na3au (at) virginia (dot) edu

Bio:

I am interested in the intersection of computer vision and healthcare. My undergraduate background was based in Systems Engineering and my previous research includes the application of deep learning in medical imaging, active learning, and segmentation problems. Currently, I am focused on applying learned 3D human models to generate realistic and pose-dependent shapes.

Google Scholar Citation Record

Education:


 

Jason Yan Wang

jyw5hw (at) virginia (dot) edu

Bio:

I am currently a Ph.D. student in the School of Data Science and am interested in researching the application of computer vision in sports analytics. I am currently a Double Hoo with my BA in Mathematical Statistics and MS in Data Science. My past research experience has included applying computer vision to medical imaging and NFL football plays. I hope to use computer vision to make sports more accessible and safer for everyone.

Education:


 

Xinlun Cheng

xc7ts (at) virginia (dot) edu
https://chengxinlun.github.io/

Bio:

I’m an astronomy Ph.D. student at the University of Virginia. Previously, I have worked in many areas of astronomy, including analysis and modeling stellar and galaxy datasets from large sky surveys. As an astronomist, I have also received professional training in data science and I earned a master of science in data science (MSDS) degree in Spring 2022 from UVA. I’m currently conducting research on the acceleration of quantum spin dynamics numerical simulation using a physics-aware neural network with Professor Stephen Baek.

Curriculum Vitae

Education:


 

Negin Moghadasi

nm2fs (at) virginia (dot) edu
https://neginmoghaddasi.wixsite.com/home

Bio:

I am a Ph.D. Student in Systems and Information Engineering at the University of Virginia (UVA). My research interest lies in applying machine learning, deep learning, and computer vision to solve real-world complex problems specifically in healthcare, Human-Computer Interaction (HCI), cybersecurity and trust in Electric Vehicle charging systems, IoT devices, and supply chains.

Curriculum Vitae
Google Scholar Citation Record

Education:


 

Undergraduate Students

Jiayi Niu


 

Akhil Saket Havaldar


 

Maajid Ali Husain

mah2ksc (at) virginia (dot) edu

Bio:

Maajid is an undergraduate student at UVA, double majoring in Computer Science and Applied Statistics with a concentration in Finance and Business. He is also the president of the UVA Data Science and Analytics Club and pushes to build a community of data-driven students at UVA.

Education:


 

Alumni

Research Scientists, Postdocs, Visiting Scholars

Doctoral Students

Master’s Students

Undergraduate Students