Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning won the Best Demonstration Award at AAMAS 2022.

Our work Discovering User-Interpretable Capabilities of Black-Box Planning Agents has been accepted at KR 2022. Preprint coming out soon!

Received the Spring 2022 ASU GPSA Teaching Excellence Award.

Co-organizing the IJCAI-ECAI 2022 Workshop on Generalization in Planning with Yuqian Jiang, Rushang Karia, and Jendrik Seipp.

Awarded SCAI Doctoral Fellowship by School of Computing and Augmented Intelligence, Arizona State University.

Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning has been accepted at AAMAS 2022 in Demonstration Track.

Our work Differential Assessment of Black-Box AI Agents has been accepted at AAAI 2022.

Presenting my dissertation idea Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems at IJCAI 2021 Doctoral Consortium.

Our work Learning User-Interpretable Descriptions of Black-Box AI System Capabilities has been accepted at ICAPS 2021 Workshop on Knowledge Engineering for Planning and Scheduling.

Attending the Fifth Annual CHAI Workshop.

Our work Learning Causal Models of Autonomous Agents using Interventions has been accepted at IJCAI 2021 Workshop on Generalization in Planning.

Our work Asking the Right Questions: Learning Interpretable Action Models Through Query Answering has been accepted at AAAI 2021.

Presenting the work Learning Interpretable Models for Black-Box Agents at ICML HILL 2020.

Attending AAAI 2020 from February 07-12, 2020.

Presenting the work Learning Generalized Models by Interrogating Black-Box Autonomous Agents at GenPlan’20.

Our lab’s work on AI’s impact on Future of Work was covered by FullCircle and ASU Now.

Attending the 3rd Summer School on Cognitive Robotics from July 17-21, 2019 at USC, California.

Attending KR 2018 from October 27 - November 02, 2018.

Awarded the Fulton Schools’ Experientital Learning Grant to attend KR 2018.