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Dimitris Metaxas

Distinguished Professor
Email: 
Phone: 
(848)-445-2914
Office: 
CBIM, Room 11
Research Area: 
Computational Biomedicine
Computer Vision
Computer Graphics
Address: 

Department of Computer Science
Rutgers The State University of New Jersey
110 Frelinghuysen Road
Piscataway, NJ 08854-8019

Biography: 

Dr. Dimitris Metaxas is a Distinguished Professor in the Department of Computer Science at Rutgers University since July 2007. From September 2001 to June 2007 he was a Professor in the same department. He is currently directing the Center for Computational Biomedicine, Imaging and Modeling (CBIM). From January 1998 to September 2001 he was a tenured Associate Professor in the Computer and Information Science Department of the University of Pennsylvania and Director of the VAST Lab. Prior to this he was an Assistant Professor in the same department since 1992. Prof. Metaxas received a Diploma in Electrical Engineering from the National Technical University of Athens of Athens Greece in 1986, an M.Sc. in Computer Science from the University of Maryland, College Park in 1988, and a Ph.D. in Computer Science from the University of Toronto, Ontario, Canada in 1992.

 

Dr. Metaxas has been conducting research towards the development of formal methods upon which both computer vision, computer graphics and medical imaging can advance synergistically. In computer vision, he works on the simultaneous segmentation and fitting of complex objects, shape representation, statistical model-based tracking, learning, sparsity, ASL and gesture recognition. In particular he is focusing on human body and shape motion analysis, human surveillance, security applications, ASL recognition, behavior modeling and analysis and scalable solutions to large and distributed sensor-based networks. In the area of biomedical applications new methods have been developed for material modeling and shape estimation of internal body parts (e.g., lungs) from MRI, SPAMM and CT data, a pioneering framework for linking the anatomical and physiological models of the human body and deformable models suitable for the automatic diagnosis of heart illness from MRI data. In computer graphics, he introduced the Navier-Stokes methodology for Fluids, based on which the water scenes in the movie ''Antz'' were created in 1998. For this work, his student Nick Foster won a Technical Acheivement award from the Academy of Motion Picture Arts and Sciences in 1999. Since then, he is working on new techniques for modeling fluid phenomena, and control theoretic techniques for automating and improving the animation of articulated (e.g., humans) objects. Dr. Metaxas has published over 500 research articles (see google scholar) in these areas and has graduated 42 PhD students. The above research has been funded by NSFNIHONRAFOSRDHSDARPA and the ARO.

 

Dr. Metaxas has published a book on his research activities titled ''Physics-based deformable models: Applications to computer vision, graphics and medical imaging''  published by Kluwer Academic. He organized the first IEEE Workshop on Physics-Based Modeling in Computer Vision, he is on the Editorial Board of Medical Imaging, as Associate Editor of GMOD, and CAD and is a Co-Editor of the Special Issue of Computer Vision and Image Understanding on Physics-Based Modeling and Reasoning. Dr. Metaxas has received 7patents and numerous best paper awards for his work on vision, medical imaging and fluid modeling. His student Junzhou Huang won a Young Scientist Award (best paper award) for his work on sparsity from MICCAI 2010 and his recent work  on Histopathologic Image Analysis by his student Menglin Jiang and Shaoting Zhang won a best paper award at MICCAI 2015. Dr Metaxas was awarded a Fulbright Fellowship in 1986, is a recipient of an NSF Research Initiation and Career awards, an ONR YIP, is a Fellow of  IEEE and a Fellow of the  American Institute of Medical and Biological Engineers, and a member of ACM. He was also the Program Chair of  ICCV 2007 (best Computer Vision Conference), a General Chair of ICCV 2011, and CVPR 2014, the General Chair of MICCAI 2008 (best Medical Imaging Conference) and the Senior Program Chair for SCA 2007. He has also organize dnumerous workshops in his areas or research.

Research Interests

Research Areas: Computational Biomedicine, Computer Vision, Computer Graphics, Scientific Computations, Computational Neuroscience, Learning and Robotics, Dynamic Data Analytics.

 

Major Emphasis: Novel theories for segmentation, dynamic object tracking and recognition, model-based learning, sparisty, physics-based and deformable object modeling, human behavior and movenent analytics, computer animation of fluid phenomena, scalable solutions to multidimensional and distributed learning problems.

 

Applications: Human communication analytics, Human activity recognition,  Dynamic and stochastic human tracking, Segmentation and tracking Methods, American sign language recognition, Cardiac modeling and analysis, Segmentation methods for internal organs, Cancer detection and recognition for lungs, breast, brain and the prostate, Functional anatomy, Sparse solutions for inverse problems, Modeling of complex physical phenomena, Fluid simulations, Crowd modeling and Analysis.

 
 
Awards & Distinctions: 
Personal News: 

Dimitris Metaxas just visited several Senators and Representatives in Washington DC, as part of the CRA efforts to have the US budget for FY17 follow the trends in CS research and education.

Grant Awards: 
PI: Kang Li | Co-PI: Vladimir Pavlovic, Dimitris Metaxas | Co-PI: Jingang Yi, Michael Vives | National Science Foundation (NSF)
10/01/2015 to 09/30/2017
300000
Publications: 
Displaying 1 - 3 of 3

Dimitri Metaxas

September, 2016

Nick Foster, Dimitri Metaxas

Graphical models and image processing,V 58,pp. 471-483,Academic Press,
September, 1996
Third International Conference on Computer Vision, IEEE, 1990. Proceedings, pp. 606-615
December, 1990

Research Projects

Facial Expression Recognition

Accurate face tracking and 3D head pose prediction

We consider the minimization of a smooth convex function regularized by the composite prior...