PhD dissertation - Likitha successfully defended on the topic Building Trustable Methods for Group Recommendations: Advancing Fairness and Robustness Across Domains, (Friday, Feb 14).

A prestigious recognition received - (VAIBHAV - announcement) for work in summer with IIT-BHU on using AI and sensors for recommending and monitoring Yoga asanas; was 1 among 17 selected from 216 competing globally (2025-2028).

Our point of view (POV), on DeepSeek R1, the new AI Large Language Model (LLM) from DeepSeek (Feb 2, 2025).

A new funding recieved - NSF (EAGER) NAIRR Pilot: Demonstrating a Compact Foundation Model for Planning-Like(PL) Tasks for Next Generation Trusted Applications, on Large Language Models and Planning (see also: project page).

Our paper, 'On Generalized Planning for Controlling Opinion Networks: Interpreting Human-AI Dialog States and Beliefs' is accepted in the AAAI-25 Generalization in Planning Workshop.

Our paper, 'Disseminating Authentic Public Messages using Chatbots - A Case Study with ElectionBot-SC to Understand and Compare Chatbot Behavior for Safe Election Information in South Carolina' is accepted in the AAAI-25 AI for Public Missions Workshop.