Focusing on R&D leadership to move innovations towards commercial impact, Ashwin joined PARC as a Research Fellow and manager of its socio-cognitive computing (also known as "augmented social cognition") area. His research interests include artificial intelligence and cognitive science – spanning machine learning, natural language processing, case-based reasoning, educational technology, and AI applications.
Ashwin brings to PARC a proven track record in driving research to successful commercialization. A serial entrepreneur, Ashwin co-founded or helped create the following companies based on his and others' research – Enkia Corporation, which specializes in commercial artificial intelligence software; Inquus Corporation/ OpenStudy, which operates the first large-scale open social and peer-to-peer learning network for students; and Ardext Technologies, which provides software services for testing electronic components and systems.
Before joining PARC, Ashwin was the Director of Georgia Tech's Cognitive Computing Lab. He was an Associate Professor in the Interactive and Intelligent Computing division of Georgia Institute of Technology's College of Computing, an Associate Professor of Cognitive Science, and an Adjunct Professor in the School of Psychology. Ashwin's work has been supported by the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the Advanced Research and Development Activity (ARDA), the Air Force Office of Sponsored Research (AFOSR), the Army Research Lab (ARL), the Office of Naval Research (ONR), the EduTech Institute, Digital Equipment Corporation (DEC), and Yamaha Motor Corporation.
Dr. Ram earned his received his Ph.D. from Yale University, M.S. in Computer Science from the University of Illinois at Urbana-Champaign, and B.Tech. in Electrical Engineering from the Indian Institute of Technology in New Delhi. He has over 100 research publications, and is a co-editor of two books (both published by MIT Press) on Goal-driven Learning and Understanding Language Understanding: Computational Models of Reading.