W225G Olmsted Building
Middletown, PA 17057
Biography
Dr. Truong X. Tran has been an Assistant Professor of Computer Science at Penn State Harrisburg, Penn State University, since August 2021. Prior to joining Penn State Harrisburg, Dr. Tran was a Teaching Assistant, Research Assistant, and then Part-time Instructor at The University of Alabama in Huntsville. Dr. Tran holds a Ph.D. in Computer Science from The University of Alabama in Huntsville, an MS in Computer Science from Arkansas State University, and a B.Eng in Electronics and Telecommunication Engineering from Hanoi University of Science and Technology.
Dr. Tran has experience and interests in conducting research in Machine Learning, Data Analytics, Artificial Intelligence, Natural Language Processing, Computer Vision, Bioinformatics, and Software Engineering. His research explores applications in both transformative research and embedding innovation research into real-world problems. Dr. Tran has published scientific papers widely in the field of Computer Science.
Research Interests
- Machine Learning
- Artificial Intelligence
- Data Analytics
- Biomedical Informatics
- Natural Language Processing
- Computer Vision
- Software Engineering
Publications
Duong, S., Tran, T.X. & Tran, HA (2025). ICARE: cross-domain text classification with incremental class-aware representation and distillation learning. International Journal of Machine Learning and Cybernetics.
Tong, V., Dao, C., Tran, H.-A., Tran, D., Huynh, T. T. B., Hoang, N.-T., Tran, T (2025). Encrypted Traffic Classification Through Deep Domain Adaptation Network With Smooth Characteristic Function. IEEE Transactions on Network and Service Management, vol. 22, no. 1, pp. 331-343.
H. A. Tahir, W. Alayed, W. Ul Hassan, F. Nabi and T. X. Tran (2024). AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture. IEEE Access, vol. 12, pp. 162940-162955, 2024.
A. Vij, H. -A. Tran and T. X. Tran (2024).Trustable Network Intrusion Detection System through Wisdomnet and Uncertainty Measures. 2024 IEEE 49th Conference on Local Computer Networks (LCN), pp. 1-8.
S. Duong, H. -A. Tran and T. X. Tran (2024). Continuous Select-and-Prune Incremental Learning for Encrypted Traffic Classification in Distributed SDN Networks. 2024 IEEE 49th Conference on Local Computer Networks (LCN). pp. 1-8.
Ayomide Afolabi, Ramazan S Aygun, Truong X. Tran (2024). Quantifying Data Difficulty with Polarized K-Entropy for Assessing Machine Learning Models. 2024 IEEE 25th International Conference on Information Reuse and Integration.
Vedant Sewak Lanjewar, Hai Anh Tran, Truong X. Tran (2024). Layer-Wise Adaptive Weighting for Faster Convergence in Federated Learning. 2024 IEEE 25th International Conference on Information Reuse and Integration. pp. 126-131.
Huyen-Trang Le, Hai Anh Tran, Truong X. Tran (2024). Optimizing Edge-Cloud Server Selection: A Multi-Objective Deep Reinforcement Learning Approach. 2024 IEEE Cloud Summit, pp. 101-106
Parth Sandeep Kumthekar, Abhishek Sharma, Sravani Malla, Robert T Richardson, Aldo W Morales, Hien Nguyen, Sedig Salem Agili, Truong X. Tran (2024). A Pilot Study for Developing Mobile App and Cloud Computing for Upper Extremities Motion Analysis. 2024 IEEE Cloud Summit. pp. 24-27.
Van Tong, Cuong Dao, Hai-Anh Tran, Truong Tran, Sami Souihi (2024). Enhancing BERT-based Language Model for Multi-Label Vulnerability Detection of Smart Contract in Blockchain. Journal of Network and Systems Management, 32, 63.
Joshua A. Rosenau, Aldo W. Morales, Sedig S. Agili, Truong X. Tran (2023). Using Neural Networks for Far End Crosstalk Compensation in High-Speed MIMO Channels. IEEE Transactions on Signal and Power Integrity; DOI: 10.1109/TSIPI.2023.3335330
Nam-Thang Hoang, Cong-Son Duong, Minh-Ngoc Vu, Huy-Hieu Nguyen, Xuan-Truong Tran, Van Tong, and Hai Anh Tran (2023). A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network. In Proceedings of the 12th International Symposium on Information and Communication Technology (SOICT '23), Association for Computing Machinery (ACM) 235–242. https://doi.org/10.1145/3628797.3628804
Ahmed Tahir, Tiang Jun Jiat, Mahmud Azwan, Do Dinh-Thuan, Tran Truong, Mumtaz Shahid (2023). V2V Communications Using Blockchain-Enabled 6G Technology and Federated Learning. 2023 IEEE Global Communications Conference (GLOBECOM).
Duong Son, Nguyen Tuan, Hoang Nam-Thang, Tong Van, Tran Hai-Anh, Nguyen Giang, Mellouk Abdelhamid, Tran Truong (2023). Server and Route Selection Optimization for Knowledge-defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. 2023 IEEE Global Communications Conference (GLOBECOM).
Nguyen Tuan, Ngo Hoang, Pham Trung, Hoang Nam-Thang, Tong Van, Tran Hai-Anh, Nguyen Giang, Mellouk Abdelhamid, Tran Truong (2023). Multi Service-Oriented Routing Mechanism for Heterogeneous Multi-Domain Software-Defined Networking. 2023 IEEE Global Communications Conference (GLOBECOM)
Dao C, Tong V, Hoang N, Tran H, Tran Truong (2023). Enhancing Encrypted Traffic Classification with Deep Adaptation Networks. 2023 IEEE 48th Conference on Local Computer Networks (LCN). 2023 IEEE 48th Conference on Local Computer Networks (LCN)
Dylan T. O'Donoghue, Chang-Kwon Kang, and Truong Tran (2023). Recognition and Classification of Vortical Flows using Artificial Neural Networks and Graftieaux’s Identification Criteria, AIAA 2023-2633. AIAA SCITECH 2023 Forum.
Tran, T.X., Kang, Ck., Mathis, S.L. (2022). Lower-Gait Tracking Application Using Smartphones and Tablets. In: Comito, C., Forestiero, A., Zumpano, E. (eds) Integrating Artificial Intelligence and IoT for Advanced Health Informatics. Internet of Things. Springer, Cham.
Tran, T.X., & Aygun, R.S. (2021). WisdomNet: Trustable Machine Learning Towards Error-Free Classification. Neural Computing and Applications.
Tran, T.X., Pusey, M.L. & Aygun, R.S. (2020). Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images. Journal of Fluorescence 30, 637–656.
Subedi, S., Dinc, I., Tran, T.X., Sharma, D., Shrestha, B. R., Pusey, M. L., & Aygun, R. S. (2020). Visual-X2: interactive visualization and analysis tool for protein crystallization. Network Modeling Analysis in Health Informatics and Bioinformatics 9 (1), 15.
Shrestha, M., Tran, T. X., Bhattarai, B., Pusey, M. L., & Aygun, R. S. (2019). Schema Matching and Data Integration with Consistent Naming on Protein Crystallization Screens. IEEE/ACM transactions on computational biology and bioinformatics.
Tran, T.X., Kang, C., Mathis, S.L. (2020). Lower-Gait Tracking Mobile Application: A Case Study of Lower body Motion Capture Comparison Between Vicon T40 System and Apple Augmented Reality. Accepted at AIBH in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Tran, T.X., Pusey, M.L. & Aygun, R.S. (2020). Mobile Fluorescence Imaging and Protein Crystal Recognition. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 83-88.
Tran, T.X., Pusey, M.L. & Aygun, R.S. (2018). Else-Tree Classifier for Minimizing Misclassification of Biological Data. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2301-2308.
Shrestha, A., Tran, T., Aygun, R., & Pusey, M. (2018). Mobile Scanner for Protein Crystallization Plates. In 2018 IEEE International Symposium on Multimedia (ISM), 209-214.
Tran, T.X., Pusey, M.L. & Aygun, R.S. (2017). Classifying protein crystallization trial images using subordinate color channel. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1546-1553.
Education
Ph.D., The University of Alabama in Huntsville