philippos
Philippos Mordohai
Assistant Professor
Department of Computer Science
Stevens Institute of Technology

Office: Lieb 215
Phone Number: +1 201 216 5611
E-mail: mordohai_at_cs.stevens.edu




Home

Research

Publications

Teaching

Service, Awards and
Other Activities


CV (pdf)

NEWS
  • I received outstanding reviewer awards from ACCV 2010, CVPR 2011 and ICCV 2011. Not sure what this means for my priorities in time allocation...
  • I received a Google Research Award, with George Kamberov and Gerda Kamberova as coPIs, to develop novel computer vision techniques for scene understanding in large-scale urban environments. Click here for more details.
  • The list of papers presented at the weekly computer vision reading group can be found here. (VERY outdated.)

M.S. ADVISING

Office hours: Tuesday 5-6pm and by appointment. You can also email me your signed study plan for approval.

Important notes:
  • I cannot help with issues related to admissions, finances or student visas. Please contact the appropriate office for these matters.
  • I do not waive prerequisites for courses without the consent of the instructor. (This is because I do not claim to know which specific background material is required for each class.) If you think that you have covered all the prerequisites for a class, please email the instructor or bring a completed change of enrollment form to class for him or her to sign. These forms are available here along with other useful forms and the schedule of classes.
  • I strongly prefer that you contact me by email instead of telephone for record-keeping and other purposes.
EDUCATION
  • Ph.D. in Electrical Engineering at the University of Southern California (2005).
  • Master of Science in Electrical Engineering at the University of Southern California (2000).
  • Diploma in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, Greece (1998).

RESEARCH INTERESTS
  • Binocular, multiple-view and video-based 3D reconstruction
  • Perceptual organization
  • 3D shape representation and object recognition
  • Machine learning

STUDENTS
  • Xiaoyan Hu (Ph.D.), 2009-
  • Sam Petrocelli (Ph.D.), 2011-
ALUMNI
  • Liefei (Lucy) Xu (Ph.D. co-advised with H. Quynh Dinh), ``Vector Field Analysis for Flow Pattern Detection and Video Analysis", 2011
  • Qiuxia Han (M.S.), 2009-2011
  • Konstantinos Batsos (M.S.), 2011
  • Morgan Baron (M.S. co-advised with G. Kamberov), 2011
  • Wei Jiang (M.S.), 2010
TEACHING

CS 677: Multicore Platforms for Cognitive Gaming and Simulation (Spring 2012)
Class webpage.

CS 284: Data Structures (Fall 2011)
Class notes etc. are available on Moodle.

CS 559: Machine Learning: Fundamentals and Applications (Fall 2011)
Class webpage. The class meets 6:15-8:45 on Thursdays in Pierce 216.

CS 677: Multicore Platforms for Cognitive Gaming and Simulation (Spring 2011)
Class webpage.

CS 559: Machine Learning: Fundamentals and Applications (Fall 2010)
Class webpage. The class meets 6:15-8:45 on Thursdays in Babbio 110.

CS 559: Machine Learning: Fundamentals and Applications (Spring 2010)
Class webpage. Note that Burchard 124 has a separate entrance to the left of the main entrance to Burchard.

CS 537: Interactive Computer Graphics (Fall 2009)
Class webpage.

CS 559: Machine Learning: Fundamentals and Applications (Spring 2009)
Class webpage.

WORDS OF WISDOM
By Jacob August Riis: "I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it. Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it, but all that had gone before."

FACE MODEL
I spent a few years demonstrating and evaluating 3D face reconstruction and recognition using technology developed by Geometrix, Inc. I have spent even more years working on 3D reconstruction in various settings.



For a 3-D model of my face using these two pictures click on the pictures or here.