7 papers
Orchestrating Attention: Bringing Harmony to the 'Chaos' of Neurodivergent Learning States
Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang
Adaptive learning systems optimize content delivery based on performance metrics but ignore the dynamic attention fluctuations that characterize neurodivergent learners. We present…
Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning
Joydeep Chandra, Satyam Kumar Navneet, Aleksandr Algazinov +1
Urban traffic management demands systems that simultaneously predict future conditions, detect anomalies, and take safe corrective actions -- all while providing reliability guaran…
Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spaces
Joydeep Chandra, Satyam Kumar Navneet
Domestic AI agents faces ethical, autonomy, and inclusion challenges, particularly for overlooked groups like children, elderly, and Neurodivergent users. We present the Plural Voi…
The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang
The proliferation of complex, multimodal datasets has exposed a critical gap between the capabilities of specialized vector databases and traditional graph databases. While vector…
Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
Satyam Kumar Navneet, Joydeep Chandra
The integration of Large Language Models (LLMs) into software engineering has revolutionized code generation, enabling unprecedented productivity through promptware and autonomous…
Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation
Joydeep Chandra, Satyam Kumar Navneet
As AI-driven dataspaces become integral to data sharing and collaborative analytics, ensuring privacy, performance, and policy compliance presents significant challenges. This pape…