Principal Computer Scientist, Intelligent Systems Lab, Future Concepts Division
Shiwali Mohan is a principal scientist in the Knowledge Representation and Reasoning area and researches collaborative human-AI systems. She brings together methods from computational sciences (AI & ML) with human-centered sciences (cognitive psychology, behavioral economics) to build intelligent systems that can collaborate with humans effectively. She has developed intelligent systems for a variety of application domains including general-purpose robotics, preventive healthcare, sustainable living, and augmented reality learning. She leads interdisciplinary research teams on DARPA grants and has participated in research supported by AFOSR, ARPA-E, NSF, and NIH. She is keenly interested in developing intelligent technology for social good and public welfare.
Dr. Mohan earned her Ph.D. and M.S.E in Artificial Intelligence from the Computer Science and Engineering division at the University of Michigan, Ann Arbor. She received an undergraduate degree in Instrumentation and Control Engineering from Delhi University. She has authored more than 45 articles in the fields of artificial intelligence, cognitive science, and human-machine interaction; and holds 10 issued patents or patent applications. She was the recipient of the Blue Sky Award at the 2018 AAAI Conference on AAAI and is a part of the AAAI leadership.
Expertise
- Sequential decision making
- Intelligent agent architectures
- Knowledge representation and reasoning
- Cognitive and behavioral science
- Human-computer interaction
- Human participant studies and experiments
