Hoang H. Nguyen

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

Jun 24, 2024	“LaMMOn: Language Model Combined Graph Neural Network for Multi-Target Multi-Camera Tracking in Online Scenarios” paper, a collaboration between the L3S Research Center and the Center for Urban Informatics and Progress at The University of Tennessee at Chattanooga, has been officially accepted for publication in the Machine Learning journal.
May 03, 2024	On May 3rd, 2024, after three and a half years, Hoang H. Nguyen successfully defended his doctoral thesis and officially completed the doctoral program at Leibniz University Hannover, Germany.
Nov 16, 2023	“Inductive and Transductive Link Prediction for Criminal Network Analysis” paper has won the Best Paper Award at the L3S Research Center. “Multi-Vehicle Multi-Camera Tracking With Graph Based Tracklet Features” paper has won the Best Paper Award at the L3S Research Center.
May 10, 2023	“Inductive and Transductive Link Prediction for Criminal Network Analysis” paper has been accepted for publication in the Journal of Computational Science.
Apr 28, 2023	“Multi-Vehicle Multi-Camera Tracking With Graph Based Tracklet Features” paper has been accepted for publication in the IEEE Transactions on Multimedia journal.

selected publications

LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios

Tuan T. Nguyen, Hoang H. Nguyen, Mina Sartipi, and 1 more author

Machine Learning, 2024

DOI Bib PDF

@article{nguyen2024lammon,
  title = {LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios},
  author = {Nguyen, Tuan T. and Nguyen, Hoang H. and Sartipi, Mina and Fisichella, Marco},
  journal = {Machine Learning},
  pages = {1--27},
  year = {2024},
  doi = {10.1007/s10994-024-06592-1},
  url = {https://doi.org/10.1007/s10994-024-06592-1},
  publisher = {Springer},
}

Multi-Vehicle Multi-Camera Tracking With Graph Based Tracklet Features

Tuan T. Nguyen, Hoang H. Nguyen, Mina Sartipi, and 1 more author

IEEE Transactions on Multimedia, 2024

DOI Bib PDF

@article{nguyen2024multi,
  title = {Multi-Vehicle Multi-Camera Tracking With Graph Based Tracklet Features},
  author = {Nguyen, Tuan T. and Nguyen, Hoang H. and Sartipi, Mina and Fisichella, Marco},
  journal = {IEEE Transactions on Multimedia},
  year = {2024},
  volume = {26},
  number = {},
  pages = {972-983},
  publisher = {IEEE},
  doi = {10.1109/TMM.2023.3274369},
}

Inductive and Transductive Link Prediction for Criminal Network Analysis

Zahra Ahmadi, Hoang H. Nguyen, Zijian Zhang, and 6 more authors

Journal of Computational Science, 2023

DOI Bib PDF

@article{ahmadi2023inductive,
  title = {Inductive and Transductive Link Prediction for Criminal Network Analysis},
  author = {Ahmadi, Zahra and Nguyen, Hoang H. and Zhang, Zijian and Bozhkov, Dmytro and Kudenko, Daniel and Jofre, Maria and Calderoni, Francesco and Cohen, Noa and Solewicz, Yosef},
  journal = {Journal of Computational Science},
  publisher = {Elsevier},
  volume = {72},
  pages = {102063},
  year = {2023},
  issn = {1877-7503},
  doi = {https://doi.org/10.1016/j.jocs.2023.102063},
  url = {https://www.sciencedirect.com/science/article/pii/S1877750323001230},
}

MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, and 4 more authors

In Proceedings of the 20th International Conference on Mining Software Repositories, Melbourne, Australia, May 2023

DOI Bib PDF

@inproceedings{nguyen2023msr,
  author = {Nguyen, Hoang H. and Nguyen, Nhat-Minh and Xie, Chunyao and Ahmadi, Zahra and Kudenko, Daniel and Doan, Thanh-Nam and Jiang, Lingxiao},
  title = {MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection},
  year = {2023},
  month = may,
  doi = {10.1109/MSR59073.2023.00052},
  booktitle = {Proceedings of the 20th International Conference on Mining Software Repositories},
  numpages = {13},
  keywords = {vulnerability detection, smart contracts, source code, bytecode, heterogeneous graph learning, graph transformer},
  location = {Melbourne, Australia},
  series = {MSR '23},
}

MANDO-GURU: Vulnerability Detection for Smart Contract Source Code By Heterogeneous Graph Embeddings

Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, and 3 more authors

In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Singapore, Singapore, Nov 2022

DOI Bib PDF

@inproceedings{nguyen2022fse,
  author = {Nguyen, Hoang H. and Nguyen, Nhat-Minh and Doan, Hong-Phuc and Ahmadi, Zahra and Doan, Thanh-Nam and Jiang, Lingxiao},
  title = {MANDO-GURU: Vulnerability Detection for Smart Contract Source Code By Heterogeneous Graph Embeddings},
  year = {2022},
  month = nov,
  isbn = {9781450394130},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3540250.3558927},
  doi = {10.1145/3540250.3558927},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  pages = {1736-1740},
  numpages = {5},
  keywords = {Ethereum blockchain, graph neural networks, heterogeneous graphs, smart contracts, vulnerability detection},
  location = {Singapore, Singapore},
  series = {ESEC/FSE 2022},
}

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, and 4 more authors

In Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, Shenzhen, China, Oct 2022

DOI Bib PDF

@inproceedings{nguyen2022dsaa,
  author = {Nguyen, Hoang H. and Nguyen, Nhat-Minh and Xie, Chunyao and Ahmadi, Zahra and Kudenko, Daniel and Doan, Thanh-Nam and Jiang, Lingxiao},
  title = {MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities},
  year = {2022},
  month = oct,
  booktitle = {Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics},
  pages = {1-10},
  numpages = {10},
  keywords = {heterogeneous graphs, graph embedding, graph neural networks, vulnerability detection, smart contracts, Ethereum blockchain},
  location = {Shenzhen, China},
  doi = {10.1109/DSAA54385.2022.10032337},
  series = {DSAA '22},
}

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data

Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, and 2 more authors

In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, Jul 2022

DOI Bib PDF

@inproceedings{nguyen2022sigir,
  author = {Nguyen, Hoang H. and Bozhkov, Dmytro and Ahmadi, Zahra and Nguyen, Nhat-Minh and Doan, Thanh-Nam},
  title = {SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data},
  year = {2022},
  month = jul,
  isbn = {9781450387323},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3477495.3531735},
  doi = {10.1145/3477495.3531735},
  booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages = {3036--3045},
  numpages = {10},
  keywords = {database, social networks, decentralized applications, datasets, decentralized social networks, blockchain, network analysis},
  location = {Madrid, Spain},
  series = {SIGIR '22},
}

API recommendation for event-driven Android application development

Weizhao Yuan, Hoang H. Nguyen, Lingxiao Jiang, and 3 more authors

Information and Software Technology, Jul 2019

DOI Bib PDF

@article{yuan2019api,
  title = {API recommendation for event-driven Android application development},
  journal = {Information and Software Technology},
  volume = {107},
  pages = {30-47},
  year = {2019},
  issn = {0950-5849},
  doi = {https://doi.org/10.1016/j.infsof.2018.10.010},
  url = {https://www.sciencedirect.com/science/article/pii/S0950584918302222},
  author = {Yuan, Weizhao and Nguyen, Hoang H. and Jiang, Lingxiao and Chen, Yuting and Zhao, Jianjun and Yu, Haibo},
  keywords = {Android programming, Event callbacks, Code search, API recommendation, Information retrieval},
}