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.
- Emerging Leaders in Health and Medicine by the National Academy of Medicine 2020
- Early Career Awards for Scientists and Engineers (ECASE-ARMY) 2019.
- NSF CAREER Award 2018
- 10 Scientists to Watch by Science News 2017
- MIT Top 35 Innovators under 35 (TR 35) 2016
- Google Faculty Research Award 2014, 2016, 2020
- Human-Computer Interaction (Fall 2013, Fall 2014, Fall 2015, Spring 2017, Fall 2017, Spring 2019, Spring 2020)
- Living with Pandemics: Can AI help mitigate? (Fall 2020)
- Interactive Machine Learning (Spring 2015)
- Intervention Strategies for Healthcare Applications (Fall 2017)
- NSF National Research Traineeship (NRT) on Human Behavior and its Cognitive and Neural Mechanism
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.
- Human Computer Interaction
- Artificial Intelligence
- Interactive machine learning
- Health and wellbeing
- Future of skills