| Sep 16, 2024 | Started as a Postdoc Associate with Julie Shah in the Interactive Robotics Group at CSAIL and AeroAstro, MIT. |
| Apr 03, 2024 | Successfully defended my doctoral dissertation Data-Efficient Paradigms for Personalized Assessment of Taskable AI Systems. Thanks to my advisor Siddharth Srivastava, and committee members Nancy Cooke, Georgios Fainekos, and Yu “Tony” Zhang. Slides and Video now available too. |
| Feb 12, 2024 | Our work Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings has been accepted at ICAPS 2024. |
| Feb 09, 2024 | 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. |
| Feb 02, 2024 | Received the Spring 2024 ASU GPSA JumpStart Research Grant. |
| Nov 08, 2023 | 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. |
| Oct 27, 2023 | Two of our works Learning AI-System Capabilities under Stochasticity and Epistemically Guided Exploration for Transferable Stochastic Planning in Non-stationary Relational Settings have been accepted at NeurIPS 2023 Workshop on Generalization in Planning. |
| Oct 23, 2023 | Received the Fall 2023 ASU GPSA Outstanding Research Award and ASU GPSA Outstanding Mentor Award. |
| Sep 21, 2023 | Our work Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings has been accepted at NeurIPS 2023. |
| Aug 11, 2023 | I completed my summer research internship at Meta AI. I worked on curriculum personalization with Rohan Chitnis, Alborz Geramifard, and Nitin Kamra. |
| Jul 25, 2023 | Co-organizing the NeurIPS 2023 Workshop on Generalization in Planning with Siddharth Srivastava, Aviv Tamar, and Felipe Trevizan. |
| Jun 17, 2023 | Presenting the poster on User Driven Assessment of Adaptive Taskable AI Systems at CHAI’s 7th Annual Workshop. Poster available here. |
| May 23, 2023 | Awarded Graduate College Completion Fellowship by Graduate College, Arizona State University. |
| May 02, 2023 | Our work Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems has been accepted at ICAPS 2023 Workshop on Knowledge Engineering for Planning and Scheduling. |
| Mar 31, 2023 | Awarded University (Engineering) Graduate Fellowship by ASU Engineering, Arizona State University. |
| Jan 30, 2023 | Awarded SCAI Doctoral Fellowship by School of Computing and Augmented Intelligence, Arizona State University. |
| Nov 07, 2022 | Defended the dissertation prospectus and advanced to Ph.D. Candidacy. |
| Oct 06, 2022 | Our work Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks has been accepted at EMNLP 2022. |
| Jun 03, 2022 | Giving a talk on Discovering User-Interpretable Capabilities of Black-Box AI Agents at CHAI’s 6th Annual Workshop. Slides available here. |
| May 14, 2022 | Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning won the Best Demo Award at AAMAS 2022. |
| Apr 15, 2022 | Our work Discovering User-Interpretable Capabilities of Black-Box Planning Agents has been accepted at KR 2022. |
| Apr 15, 2022 | Received the Spring 2022 ASU GPSA Teaching Excellence Award. |
| Mar 23, 2022 | Co-organizing the IJCAI-ECAI 2022 Workshop on Generalization in Planning with Yuqian Jiang, Rushang Karia, and Jendrik Seipp. |
| Mar 02, 2022 | Awarded SCAI Doctoral Fellowship by School of Computing and Augmented Intelligence, Arizona State University. |
| Feb 28, 2022 | Our work JEDAI: A System for Skill-Aligned Explainable Robot Planning has been accepted at AAMAS 2022 in Demonstration Track. |
| Dec 01, 2021 | Our work Differential Assessment of Black-Box AI Agents has been accepted at AAAI 2022. |
| Aug 18, 2021 | Presenting my dissertation idea Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems at IJCAI 2021 Doctoral Consortium. |
| Jul 01, 2021 | 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. |
| Jun 06, 2021 | Attending the Fifth Annual CHAI Workshop. |
| May 26, 2021 | Our work Learning Causal Models of Autonomous Agents using Interventions has been accepted at IJCAI 2021 Workshop on Generalization in Planning. |
| Dec 02, 2020 | Our work Asking the Right Questions: Learning Interpretable Action Models Through Query Answering has been accepted at AAAI 2021. |
| Jul 17, 2020 | Presenting the work Learning Interpretable Models for Black-Box Agents at ICML HILL 2020. |
| Feb 07, 2020 | Attending AAAI 2020 from February 07-12, 2020. |
| Feb 07, 2020 | Presenting the work Learning Generalized Models by Interrogating Black-Box Autonomous Agents at GenPlan’20. |
| Nov 08, 2019 | Our lab’s work on AI’s impact on Future of Work was covered by FullCircle and ASU Now. |
| Jul 17, 2019 | Attending the 3rd Summer School on Cognitive Robotics from July 17-21, 2019 at USC, California. |
| Oct 27, 2018 | Attending KR 2018 from October 27 - November 02, 2018. |
| Oct 02, 2018 | Awarded the Fulton Schools’ Experientital Learning Grant to attend KR 2018. |