News
Our work Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings has been accepted at ICAPS 2024. Preprint coming out soon!!
Two of our extended abstracts User-Aligned Autonomous Capability Assessment of Black-Box AI Systems and Can LLMs translate SATisfactorily? Assessing LLMs in Generating and Interpreting Formal Specifications have been accepted at AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems. Preprints coming out soon!!
Received the Spring 2024 ASU GPSA JumpStart Research Grant.
Co-organizing the AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems with Rohan Chitnis, Georgios Fainekos, Hazem Torfah, and Siddharth Srivastava.
Received the Fall 2023 ASU GPSA Outstanding Research Award and ASU GPSA Outstanding Mentor Award.
Our work Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings has been accepted at NeurIPS 2023.
I completed my summer research internship at Meta AI. I worked on curriculum personalization with Rohan Chitnis, Alborz Geramifard, and Nitin Kamra.
Co-organizing the NeurIPS 2023 Workshop on Generalization in Planning with Siddharth Srivastava, Aviv Tamar, and Felipe Trevizan.
Presenting the poster on User Driven Assessment of Adaptive Taskable AI Systems at CHAI’s 7th Annual Workshop. Poster available here.
Awarded Graduate College Completion Fellowship by Graduate College, Arizona State University.
Awarded University (Engineering) Graduate Fellowship by ASU Engineering, Arizona State University.
Awarded SCAI Doctoral Fellowship by School of Computing and Augmented Intelligence, Arizona State University.
Defended the dissertation prospectus and advanced to Ph.D. Candidacy.
Our work Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks has been accepted at EMNLP 2022.
Giving a talk on Discovering User-Interpretable Capabilities of Black-Box AI Agents at CHAI’s 6th Annual Workshop. Slides available here.
Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning won the Best Demo Award at AAMAS 2022.
Our work Discovering User-Interpretable Capabilities of Black-Box Planning Agents has been accepted at KR 2022.
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.
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.