Digital Worlds Institute
College of Fine Arts
University of Florida
Machine Vision and Applications, Virtual Reality, Biomedical Image Processing, Data Visualization
Prof. Barmpoutis’ current research interests lie in the areas of machine vision and applications, virtual reality in medicine, human motion capture and analysis, biomedical image processing and visualization, and facial recognition and expression analysis. He has coauthored numerous journal publications, conference articles and book chapters in the aforementioned topics. Dr. Barmpoutis has received various awards and scholarships, including the Outstanding Academic Achievement Award from the College of Engineering and the CIEGL bursary from the University of Oxford.
PhD in Computer Engineering, University of Florida, May 2009.
MSc in Electronics and Electrical Engineering, University of Glasgow, Dec 2004.
BSc summa cum laude in Computer Science, Aristotle University of Thessaloniki, Jun 2003.
Key Professional Appointments:
2010- present: Assistant Professor of Digital Arts and Sciences, Digital Worlds Institutue, University of Florida
2011-present: Affiliate Assistant Professor, Center for Greek Studies, Department of Classics, University of Florida
"Tensor Field Analysis for Image Processing Applications", Center of Imaging Science, Johns Hopkins University, March 8, 2011
"Methods for Efficient and Robust High-Order Diffusion Tensor Imaging", Department of Radiology, University of North Carolina, Chapel Hill, May 17th, 2010
"Multi-linear Forms and their Application to Image Analysis", General Electric Research Campus, Albany New York, March 18, 2010
"Searching inside the human brain: The next-generation medical imaging techniques", University of South Carolina, Beaufort, February 23, 2010
"Robust High-Order Diffusion Tensor Imaging Techniques", Stanford Research Institute International, February 12, 2010
"Multi-linear Forms and their Applications to Image Analysis", Computer Science department, Rutgers University, May 7, 2009
A. Barmpoutis, E. Bozia, and R. S. Wagman. "A novel framework for 3D reconstruction and analysis of ancient inscriptions." Journal of Machine Vision and Applications, 21(6), 2010, pp. 989-998.
R. Kumar, A. Barmpoutis, A. Banerjee, B. C. Vemuri. "Non-Lambertian Reflectance Modeling and Shape Recovery for Faces using Anti-Symmetric Tensor Splines." IEEE Transactions on Pattern Analysis and Machine Intelligence 33(3), 2011, pp. 533-567.
A. Barmpoutis, M. S. Hwang, D. Howland, J. R. Forder, B. C. Vemuri. "Regular Positive-Definite 4th-order Tensor Field Estimation from DW-MRI". NeuroImage, 45 (1. Sup 1) 2009, pp. 153-162.
A. Barmpoutis, B. C. Vemuri, T. M. Shepherd, and J. R. Forder. "Tensor splines for interpolation and approximation of DT-MRI with applications to segmentation of isolated rat hippocampi." IEEE Transactions on Medical Imaging 26(11), 2007, pp. 1537-1546.
J. Barker and A. Barmpoutis. "Smart Dust: Monte Carlo Simulation of Self-Organized Transport." Journal of Computational Electronics 3(3-4), 2004, pp. 317-321.
June 2011 – Dec. 2012, Digital Epigraphy Toolbox, National Endowment for the Humanities, Office of Digital Humanities, Award: HD-51214-11, Role: Principal Investigator.
March 2011 – March 2012, Game technology to enhance sensory input and promote walking recovery, UF Clinical and Translational Science Institute, Role: co-Investigator.
Outstanding Academic Achievement Award, Engineering College, University of Florida, 2008
Bursary, International Epigraphic Conference, University of Oxford, 2007
Alumni Fellowship, University of Florida, 2004-2008
Educational Stipend, ISMRM, 2007
Author of the most cited article in Information Processing in Medic. Imaging, 2007.