Theory | Computer Vision & Pattern Recognition • Machine Learning & Deep Learning • Compressive Sensing • Algorithm Development | Application | Affective Computing (Facial Expressions Recognition) • Socially Assistive Robotics • Social Behavior Analysis • Biomedical Signal Processing • Brain and Human Computer Interfacing |

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Teaching & Outreach

I enjoy teaching as much as I enjoy doing research! I teach machine learning, computer vision, and digital systems at undergraduate and graduate levels. I also outreach to the community with goals of promoting public understanding and awareness of innovative technology (e.g. social robotics) for well-being and health care.

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News & Updates

  • Our paper on describing AffectNet database accepted for publication in IEEE Transactions on Affective Computing. download link.
  • I will serve as an Area Chair for WACV 2018.
  • I will serve as an Area Chair and a Demo Chair for FG 2018.
  • I serve as the Local Arrangement Chair for IJCB 2017 that will be held in Denver.
  • I served as an Associate Editor for ICRA 2017.
  • I  serve as an Area Chair for WACV 2017.
  • Our paper received the RSJ/KROS Distinguished Interdisciplinary Research Award in the RO-MAN’16 conference.
  • Robot Assist webpage is online now.
  • A video of our lifelike robotic face can be seen here.
  • You can listen to my interview with Colorado Public Radio here.
  • Dr. Mahoor has been elected as a Senior Member of IEEE since June 2013.
  • The DISFA (+) Database is now released.
  • Check out the University of Denver’s RoboCup Team.

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