People

Our Team

At VIVA, we strongly promote a culture of diversity and inclusion. Our alumni have been from diverse backgrounds, and pursued diverse interests! We firmly believe our current team reflects our culture, and are always interested in hiring motivated students for pursuing research in advancing image and video analysis techniques.

Thank you for your interest in our group - Virginia Image and Video Analysis. If you are interested in applying, please apply HERE. Do remember to mention Dr. Scott T. Acton as the faculty you would be interested in conducting research with.

Faculty

Scott T. Acton

Lawrence R. Quarles Professor and Chair, Electrical and Computer Engineering Professor, Biomedical Engineering (By Courtesy)

Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in biological image analysis problems. The research emphases of VIVA include machine learning for image and video analysis, AI for education, tracking, segmentation, and enhancement.
VIVA (lab group) Google Scholar
Email [email protected]

Post Doctorals

Matthew Korban

Matthew Korban

Matthew Korban is a Postdoctoral Research Associate and an IEEE Senior Member working with Prof. Scott T. Acton in VIVA Lab. He received his Ph.D. from Louisiana State University (LSU) in Electrical and Computer Engineering, where he led several recognizable research projects, including LSU CAVE2 VR, the largest and most advanced VR structure in the world. His research interests are Image and Video Processing, Computer Graphics, Human Motion, Facial and Geometric modeling, and Virtual Reality.
Google Scholar
Email [email protected]

Graduate Students

Jonathan McGee

Jonathan McGee

Jonathan McGee is an Electrical Engineering PhD student who joined VIVA in Fall 2023. He received his Bachelor’s degree in Computer Engineering at the University of Maryland, Baltimore County in 2017. Jonathan worked in industry for 5 years, building skills in Software Engineering and Signal Processing. His research interests include video processing, action recognition, and machine learning.
Email [email protected]
Samarth Singh

Samarth Singh

Samarth is currently pursuing a PhD in Biomedical Engineering co-advised by DR. SCOTT T. ACTON and DR. NATASHA D. SHEYBANI. His primary research interests include developing principled and explainable medical image analyses algorithms for clinical adoption.
MY GITHUB GOOGLE SCHOLAR
Email [email protected]
Soumee Guha

Soumee Guha

Soumee is pursuing her PhD in Computer Engineering advised by Dr. Scott T. Acton, currently working on projects related to single-molecule localization and tracking. She is also interested in reinforcement learning based trackers and related topics in image processing and computer...
GOOGLE SCHOLAR
Email [email protected]
Shuhan Ding

Shuhan Ding

Shuhan is pursuing her PhD in Electrical Engineering advised by Dr. Scott T. Acton. Her research interests include medical AI, image processing and computer vision.
GOOGLE SCHOLAR
Email [email protected]
Tanjin Taher Toma

Tanjin Taher Toma

Tanjin is pursuing her PhD in Electrical Engineering advised by by Dr. Scott T. Acton, and focusses on developing advanced algorithms for bacterial biofilm analysis. Tanjin's research interest includes biomedical image processing, machine learning, and deep learning.
GOOGLE SCHOLAR
Email [email protected]
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