Hoang H. Nguyen
Research Assistant Professor | Graph Machine Learning • Blockchain Security • Smart Transportation | UTC Research Institute, The University of Tennessee at Chattanooga.
Dr. Hoang H. Nguyen (Eric Hoang) is a Research Assistant Professor at the UTC Research Institute, The University of Tennessee at Chattanooga (UTC), beginning August 2025. His current work focuses on federated learning and the development of advanced machine learning solutions to enhance trajectory prediction at traffic intersections using decentralized data sources, while also exploring blockchain security through vulnerability analysis in smart contracts.
Previously, Dr. Nguyen was a postdoctoral researcher at the Center for Urban Informatics and Progress (CUIP) at UTC from August 2024 to July 2025. From 2020 to 2024, he was a doctoral researcher at the L3S Research Center, Leibniz University Hannover. He also served as a visiting student and later a research associate at the School of Computing and Information Systems, Singapore Management University, from 2016 to 2018. In 2017, he earned his Master of Engineering degree in Computer Science from Ho Chi Minh City University of Technology (HCMUT), Vietnam, and completed his Dr. rer. nat. (equivalent to Ph.D.) in Computer Science at Leibniz University Hannover, Germany, in 2024.
With over fifteen years of experience in Software Engineering and Graph Mining across both industry and academia, Dr. Nguyen has worked extensively on developing platforms to accelerate investigative processes in collaboration with law enforcement agencies (LEAs) from more than fifteen countries. His contributions include frameworks for managing blockchain-powered social network data and identifying critical security vulnerabilities in blockchain smart contracts.
His research interests include Federated Learning, Graph Mining, Machine Learning, Graph Learning, Social Network Analysis, Program Analysis, Software Security, and Blockchain Smart Contracts.
news
| Oct 24, 2026 | Our team has multiple research papers accepted for the Transportation Research Board (TRB) 2027 Annual Meeting, spanning intelligent transportation and traffic safety. Individual paper citations will be added as their proceedings metadata becomes available. |
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| Oct 23, 2026 | Our paper “Trustworthy Evaluation of Quantum Message Passing: Isolating Circuit Contributions in Traffic Forecasting” was accepted to the SaTQuML workshop at NeurIPS 2026, with Firas Elhag leading the presentation. |
| Oct 20, 2026 | Two full papers from our team have been accepted at WACV 2027, covering language-driven multi-camera tracking and map-free traffic-conflict anticipation. Camera-ready citation details will be posted when available. |
| Jul 17, 2026 | Two of our papers were accepted at IEEE ITSC 2026: CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception and PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment. |
| Jun 25, 2026 | Our paper “Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion” appeared at IEEE Intelligent Vehicles Symposium (IV 2026). Dr. Nguyen also served as a Poster Session Chair at the conference in Detroit. |
selected publications
- PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety AssessmentIn 2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC), 2026Accepted at ITSC 2026; preprint available on arXiv