Shiwali Mohan

Senior Member of Research Staff at Xerox PARC

I am an AI systems scientist at the Palo Alto Research Center. I study human-aware AI - how to design intelligent interactive systems that model, learn, and reason about their human collaborators. I am especially interested in methods for effective and robust human-agent collaborative behavior in real-world settings. My research spans artificial intelligence & machine learning and leverages insights about human behavior from cognitive science, linguistics, and economics.

I have designed intelligent collaborative agents for a variety of application domains general purpose robots, preventive healthcare, sustainable transportation, and augmented reality learning. I am particularly motivated to build intelligent collaborative technology social good and public welfare. My work is interdisciplinary and has been published at venues for research on artificial intelligence (JAIR, AAAI, IAAI), human cognition (ICCM, ACS, BICA), human-computer interaction (ACM TiiS), medical informatics & engineering (JMIR, EMBC), and AI’s impact on our society (ACM/AAAI AIES). My research is supported by the US government (DARPA, AFOSR, ARPA-E, NSF) and commercial entities (Xerox Corporation, Kaiser Permanente). Currently, I am the principal investigator for PARC’s efforts on DARPA SAIL-ON and DARPA GAILA.

Humans of AI summarizes my ongoing research and outlines my research agenda on incorporating explicit models of humans in design of collaborative AI systems. My research statement explains it in more detail

I am a graduate of the Soar lab led by John E. Laird that traces its legacy to foundational research on human cognition by Allen Newell and human decision making by Herbert Simon. My graduate experience set me on this wonderful journey in studying the computational underpinnings of human intelligence and building intelligent systems that support them. PARC’s legacy in leveraging cognitive psychology to design more effective technology has only made this journey more adventurous.


Jun 10, 2021 Research on natural human-robot teaching led by Preeti Ramaraj accepted for oral presentation at IEEE RO-MAN 2021
May 14, 2021 Giving a talk on cognitive science and robotics at Talking Robotics.
May 6, 2021 Looking forward to talking to graduate students at UM ECSEL+.
May 2, 2021 Article on the CMC and interactive intelligent systems for health behavior change finally is published by ACM TiiS.
May 1, 2021 Will be leading DARPA SAIL-ON research on desiging intelligent agents that are robust to novelties.

selected publications

    Unpacking Human Teachers’ Intentions For Natural Interactive Task Learning
    Ramaraj, Preeti, Ortiz Jr, Charles L, and Mohan, Shiwali
    30th IEEE International Conference on Robot and Human Interactive Communication 2021
  2. ACM TiiS
    Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change
    Mohan, Shiwali
    ACM Transactions on Interactive Intelligent Systems 2021
  3. ACM TiiS
    Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise
    Mohan, Shiwali, Venkatakrishnan, Anusha, and Hartzler, Andrea
    ACM Transactions on Interactive Intelligent Systems (TiiS) 2020
  4. JAIR
    Acceptable planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
    Mohan, Shiwali, Rakha, Hesham, and Klenk, Matt
    Journal of Artificial Intelligence Research 2019
  5. ACS
    Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition
    Mohan, Shiwali, Klenk, Matt, Shreve, Matthew, Evans, Kent, and Maxwell, John
    In Proceedings of the Annual Conference on Advances in Cognitive Systems 2020
  6. AAAI
    Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents.
    Laird, John, and Mohan, Shiwali
    In Proeedings of the AAAI Conference on Artificial Intelligence 2018