He is interested in developing computational approaches to generate new insights and theories about human behavior that are "written nowhere, known by none, and understood by all." Ehsan 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 a conversational system. Ehsan's work has been recognized through the Best Paper award at the ACM Ubiquitous Computing conference (UbiComp 2013) and Best Paper nominations at the IEEE Automatic Face and Gesture Recognition conference (FG 2011) and ACM Intelligent Virtual Agents conference (IVA 2006).