Dimitris Samaras
Dimitris Samaras
SUNY Empire Innovation Professor

Department of Computer Science
Room 263
Stony Brook, NY 11794-2424

(631) 632-8464
samaras [at] cs.sunysb.edu
Computer vision; machine learning; computational behavioral sciences; computer graphics; medical imaging; computational photography.

Dimitris Samaras earned his Ph.D. in Computer Science from University of Pennsylvania in 2001; M.S. in Computer Science from Northeastern University in 1994, and Diploma in Computer Engineering and Informatics from University of Patras, Greece in 1992.


Dimitris Samaras's research up to now has focused on explaining visual data for Computer Vision, Computer Graphics and Medical Image Analysis, through the appropriate physical and statistical models. A central interest is in modeling the interaction of 3D shape and illumination, (a major source of variability in images) for applications such as shape and motion estimation, object recognition and augmented reality. Further interest in 3D shape deformation is fueled by the availability of image and range data that allows statistical modeling of non-rigid motion. The construction of such statistical models leads to the problem of accurate matching of 3D data. A natural application area for all the above questions is the field of human modeling and especially faces. We have been focusing on topics such as facial appearance under variable illumination and facial expression modeling for biometrics and human computer interaction. My general interest in human modeling has led to exciting collaborations with psychologists who collect visual data about human behavior through multiple modalities such as eye-trackers and fMRI bran imaging. Thus based on recent neuropsychological findings we are exploring the application of machine learning techniques to the analysis of brain images. Current sources of funding include NSF, NIH (NIDA), DoE and DoJ.

Dimitris Samaras is a recipient of the NSF Information Technology Research Award and Certificate of Appreciation (Graduate Admissions) in 2014.
Teaching Summary
CSE 327/ESE 358, CSE 378/525, CSE 390, CSE 523/524, CSE 527/627, CSE 592, CSE 601/ESE 559, CSE 615, CSE 656, CSE 681