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International Conference on Pattern Recognition (ICPR), 2020 (delayed until Jan. 2021):

Computer Vision and Pattern Recognition (CVPR), 2019:

  • Representing Cause-and-Effect in a Tensor Framework
    Organizers and Speakers:

    • M. Alex O. Vasilescu -- University of California, Los Angeles / Tensor Vision Technologies

    • Jean Kossaifi -- Samsung AI Center, London, United Kingdom

    • Lieven De Lathauwer -- KU Leuven, Belgium

University of California, Los Angeles (UCLA):
  •  2014 - 2018

    • Introduction to Computer Graphics, CS 174A: -- Winter 2014, Spring 2014, Fall 2017, Winter 2018

    • 2018 Course evaluation excerpt - student comments

  • One of my favorite classes I've taken in my 4 years here! The professor truly cares about teaching students and is extremely passionate in her work - lectures were always extremely engaging and interesting. She somehow made so much complicated math actually understandable and a bit fun!


  • I personally enjoyed the creative side of the programming assignments and the real world connections of what we learned the most in this course. The assignments were fairly well spread out and not too much time. I really appreciated the flexibility that the 7 late days policy gave.

  • I really liked how clear and engaging the professor was. Her lectures, while occasionally a bit fast, were almost always organized and easy to follow. The slides complimented the lectures as well. I also appreciated how eager the teacher was in terms of helping students learn the material and answering questions

  • Well-organized curriculum, great textual supplements, and fun and interesting assignments. Great elective that has inspired significant interest in both the theory and implementation of computer graphics.

Stony Brook University (SUNY, Stony Brook): 


International Conference on Machine Learning (ICML), 2007:
Massachusetts Institute of Technology:


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