Publications | Trustworthy Artificial Intelligence Research Lab

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: 1109/TSIPI.2023.3335330
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); accepted; in press. Camera ready: https://sites.psu.edu/truongtran/files/2023/10/Globecom_V2V_Camera_Ready.pdf
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); accepted; in press. Camera ready: https://sites.psu.edu/truongtran/files/2023/10/Globecom_SARS_Camera_Ready.pdf
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); accepted, in press. Camera Ready: https://sites.psu.edu/truongtran/files/2023/10/Globecom_SORM_CameraReady.pdf
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); Daytona Beach, FL, USA. IEEE; https://doi.org/10.1109/LCN58197.2023.10223333
O’Donoghue, Dylan T., Chang-Kwon Kang, and Truong Tran (2023). “Recognition and Classification of Vortical Flows using Artificial Neural Networks and Graftieaux’s Identification Criteria.” AIAA SCITECH 2023 Forum. https://doi.org/10.2514/6.2023-2633
Tran, T.X., Kang, C., Mathis, S.L (2022). Lower-Gait Tracking Application Using Smartphones and Tablets, Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 1-8,. DOI:10.1007/978-3-030-91181-2_1
Tran, T.X., & Aygun, R.S. (2021). WisdomNet: Trustable Machine Learning Towards Error-Free Classification. Neural Computing and Applications. 33 (7), 2719-2734. https://doi.org/10.1007/s00521-020-05147-4.
Tran, T.X. (2021)The High Confidence Data Classification Method with near Zero Classification Error. Available from ProQuest (2572633211).
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. https://doi.org/10.1007/s10895-020-02500-7.
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. https://doi.org/10.1007/s13721-020-0220-6.
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. https://doi.org/10.1109/TCBB.2019.2913368.
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. DOI:10.1109/CBMS49503.2020.00023.
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. DOI:10.1109/BIBM.2018.8621322.
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. DOI:10.1109/ISM.2018.000-5.
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. DOI:10.1109/BIBM.2017.8217890.