most citedTherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation

1 citations · 2 across the 13 of their papers we have counts for

collaborators

15 papers

cs.DB2026

CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces

Joydeep Chandra

Temporal knowledge-graph data marketplaces face three coupled failures in static designs: stale hybrid index shortcuts reduce recall as edges evolve, stationary Shapley pricing mis…

cs.LG2026

Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection

Joydeep Chandra

Continuous monitoring of bipolar disorder agitation via voice biomarkers requires disentangling stable speaker traits from volatile affective states on resource-constrained edge de…

cs.HC2026

The Topology of Recovery: Using Persistent Homology to Map Individual Mental Health Journeys in Online Communities

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

Understanding how individuals navigate mental health challenges over time is critical yet methodologically challenging. Traditional approaches analyze community-level snapshots, fa…

cs.HC2026★ 1 cited

TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

As mental health chatbots proliferate to address the global treatment gap, a critical question emerges: How do we design for relational safety the quality of interaction patterns t…

cs.HC2026

When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models

Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang

Large Language Models (LLMs) are increasingly used to ``professionalize'' workplace communication, often at the cost of linguistic identity. We introduce "Cultural Ghosting", the s…

cs.HC2026

GazeFlow: Personalized Ambient Soundscape Generation for Passive Strabismus Self-Monitoring

Joydeep Chandra, Satyam Kumar Navneet, Yong Zhang

Strabismus affects 2-4% of the population, yet individuals recovering from corrective surgery lack accessible tools for monitoring eye alignment. Dichoptic therapies require active…

cs.HC2026

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…

cs.LG2026

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…

cs.HC2025

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…

cs.DB2025

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…

cs.SE2025★ 1 cited

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…

cs.CR2025

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…

cs.AI2025

Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation

Joydeep Chandra, Satyam Kumar Navneet

The implementation of Artificial Intelligence (AI) in household environments, especially in the form of proactive autonomous agents, brings about possibilities of comfort and atten…

cs.IR2025

TRACE: Transparent Web Reliability Assessment with Contextual Explanations

Joydeep Chandra, Aleksandr Algazinov, Satyam Kumar Navneet +4

In an era of AI-generated misinformation flooding the web, existing tools struggle to empower users with nuanced, transparent assessments of content credibility. They often default…

cs.NI2025

INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization

Aleksandr Algazinov, Joydeep Chandra, Matt Laing

In-network computation represents a transformative approach to addressing the escalating demands of Artificial Intelligence (AI) workloads on network infrastructure. By leveraging…