Rate My Professor Duy Ho

Dr. Ho's academic interests and research specializations include AI-empowered robotics, Web and mobile application development, augmented/virtual/mixed reality, and reinforcement/imitation/curriculum learning. His contributions to artificial intelligence are evidenced by recent key publications. These include "Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation" (arXiv preprint, 2026); "Trust-Aware Task Allocation With Quantum Optimization in Adversarial Multi-Agent Systems" (IEEE International Conference on Data Mining Workshops, 2025); "Resilient Multi-Agent Task Allocation Through Trust-Aware Quantum-Inspired Optimization" (IEEE International Conference on Data Mining Workshops, 2025); "GRIP: A Unified Framework for Grid-Based Relay and Co-Occurrence-Aware Planning in Dynamic Environments" (arXiv preprint, 2025); "Embodied Surgical Intelligence via Digital Twins: Autonomous Trocar Insertion" (International Workshop on Agentic AI for Medicine, 2025); "Leveraging multi-agent systems and large language models for diabetes knowledge graphs" (IEEE International Conference on Big Data, 2024); "Building Trust in Autonomous Systems With an AI Framework for Privacy, Safety, and Reliability in Data, Software, and Robotics" (University of Missouri-Kansas City, 2024); "Surmounting obstacles for academic resilience: a dynamic portal for supporting an alliance of students with disabilities" (International Conference on Human-Computer Interaction, 2023); "A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises" (BMC Public Health, 2023); and "Community-in-the-loop: Creating artificial process intelligence for co-production of city service" (Proceedings of the ACM on Human-Computer Interaction, 2022).