Ehsan Hoque

Ehsan Hoque

  • Associate Professor of Computer Science

PhD, Massachusetts Institute of Technology, 2013

Office Location
3013 Wegmans Hall
Telephone
(585) 275-1351
Web Address
Website

Biography

Ehsan Hoque is an associate professor of computer science at the University of Rochester, where he co-directs the Rochester Human-Computer Interaction (ROC HCI) Lab. From January 2018 to June 2019, he was the interim director for the Goergen Institute for Data Science.

His research program aims to use techniques from artificial intelligence to amplify human ability. I model and capture the dynamics of human behavior and their relationships using machine learning, computer vision, and network sciences, and design interactive systems to promote equality and access in health care and education.

Ehsan received his Ph.D. in 2013 from the Massachusetts Institute of Technology. His PhD thesis - "Computers to Help with Conversations: Affective Framework to Enhance Human Nonverbal Skills" - was the first of its kind to demonstrate that it is possible for people to learn and improve their social skills by interacting with an automated system; the thesis was showcased at the MIT Museum as one of the most unconventional inventions at MIT.

Awards:

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Research Overview

Ehsan Hoque is an associate professor in the Department of Computer Science at the University of Rochester. His research focuses on (1) designing and implementing new algorithms to sense subtle human nonverbal behavior, (2) enabling new behavior sensing for human-computer interaction, and (3) inventing new applications of emotion technology in high-impact social domains such as social skills training, public speaking, and assisting individuals who experience difficulties with social interactions.

Hoque received his PhD in 2013 from the Massachusetts Institute of Technology. His PhD thesis — “Computers to Help with Conversations: Affective Framework to Enhance Human Nonverbal Skills” — was the first of its kind to demonstrate that it is possible for people to learn and improve their social skills by interacting with an automated system; the thesis was showcased at the MIT Museum as one of the most unconventional inventions at MIT. Dr. Hoque has won a number of awards, including the IEEE Gold Humanitarian Fellowship, Best Paper Award at Ubiquitous Computing (UbiComp), Best Paper Nominations at Automated Face and Gesture Recognition (FG), and Intelligent Virtual Agents (IVA), and NSF CRII (Pre-CAREER) Award.

Research Interests

  • Human Computer Interaction
  • Artificial Intelligence
  • Interactive machine learning
  • Health and wellbeing
  • Future of skills