• Ph D in Computational Science, The University of Texas at El Paso (2022)
• MS in Computational Science, University of Texas at El Paso (2018)

• A review of mechanisms and ML-based research on factors affecting spontaneous imbibition of surfactant Geoenergy Science and Engineering (2024), Kun Xie, Zhanqi Wu, Changlong Liu, Jie Mei, Weijia Cao, Hongna Ding, Xiaoqin Zhang, Honglun Xu, Yu Suo, Xuanshuo Tian, others.
• Development and Optimal Design of Electric Vehicle Charging Station Digital Twin (2024), Tzu-Liang B. Tseng, Tenzin Lhaden, Denisse U. Castaneda, Honglun Xu, Fashiar Rahman, Michael Pokojovy, Chun-Che Huang.
• A simulation-based optimization approach to improve the performance of the healthcare systems - A case study on the emergency department Institute of Industrial and Systems Engineering (IISE) - 2023 (2023), Md Fashiar Rahman, Briana Cardenas, Tzu-Liang (Bill) Tseng, Honglun Xu.
• A simulation-based optimization approach to improve the performance of the healthcare systems-A case study on the emergency department (2023), Md F. Rahman, Briana Cardenas, Tzu-Liang B. Tseng, Honglun Xu.
• HIT-2: Implementing machine learning algorithms to treat bound ions in biomolecules Computational and Structural Biotechnology Journal 21 (2023), Shengjie Sun, Honglun Xu, Yixin Xie, Jason E. Sanchez, Wenhan Guo, Dongfang Liu, Lin Li.
• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md F. Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang B. Tseng.
• Efficient Approaches to Steady State Detection in Multivariate Systems The University of Texas at El Paso (2022), Honglun Xu.
• Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective Measurement 187 (2022), Yuxin Wen, Md F. Rahman, Honglun Xu, Tzu-Liang B. Tseng.
• Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine learning with applications 9 (2022), Yuxin Wen, Md F. Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang B. Tseng.
• Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine learning with applications 9 (2022), Yuxin Wen, Md F. Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang B. Tseng.
• Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective Measurement 187 (2022), Yuxin Wen, Md Fashiar Rahman, Honglun Xu, Tzu-Liang (Bill) Tseng.
• An automatic approach to lung region segmentation in chest x-ray images using adapted U-Net architecture SPIE (2021), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Wei Qian, Basavarajaiah Totada, Honglun Xu.
• An automatic approach to lung region segmentation in chest X-ray images using adapted U-Net architecture 11595 (2021), Md F. Rahman, Tzu-Liang B. Tseng, Michael Pokojovy, Wei Qian, Basavarajaiah S. Totada, Honglun Xu.
• Adaptive Minimum Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-Event Simulations Technometrics 62 4 (2020), Jianguo Wu, Honglun Xu, Feng Ju, Tzu-Liang Tseng.
• Data mining in telemedicine Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications (2020), Md F. Rahman, Yuxin Wen, Honglun Xu, Tzu-Liang B. Tseng, Satya Akundi.

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