ÈÕ±¾avÊÓƵ

• Performance modeling for reliability and remaining useful life assessment
• Optimization in management and decision making
• Nonlinear dynamic systems and the stabilities
• Cancer management
• Battery management systems

The Mayo Clinic collaborative researcher (2009-2011)

International Technology Collaboration invited, Dalian University of Technology (2013-2016, 2015-2018: Remanufacturing Theory and System; Remaining Useful Life theory) 

Faculty Science and Technology Research Award (College of Engineering, ÈÕ±¾avÊÓƵ, 2018)

Selected

• South Dakota Governor Research Center project, July 2021-June 2026, $2.7 million, South Dakota School of Mines and Technology and ÈÕ±¾avÊÓƵ.
• Navy Small Business Technology Transfer project (with Space Information Lab) on Lithium-ion Battery Modeling and Management System, Phase I, Phase IA and Phase II (September 2016-August 2018).
• Sanford Profile research project, personal treatment regimes model, September 2015-August 2017, ÈÕ±¾avÊÓƵ.
• NASA EPSCoR major research project on Power Lithium-Iron Battery, 2014-2017, ÈÕ±¾avÊÓƵ co-principal investigator.
• ÈÕ±¾avÊÓƵ DEM project on Monte Carlo methods for dynamics modeling in eco and management, 2014-2015.
• ÈÕ±¾avÊÓƵ faculty research fund on Discrete event dynamics and simulation model: severe sepsis resuscitation. April 2012-March 2013.
• Texas Advance Technology Research project of Automated Visual Inspection in Wafer Manufacturing (1997-1999), co-principal investigator, funded by Texas State.

• The U.S. patent of Automated Defect Classification in semiconductor manufacturing (joint inventor, Texas Tech University and Texas Instruments, U.S. patent No. 6014461, Jan. 11, 2000).

Selected

• Li, X., Hu, Y., Wang, H. Lin, Y., Liu, X., Lu, H. (2025). A closed-form continuous-depth neural based hybrid difference features re-representation network for RUL prediction. Reliability Engineering and System Safety, 253, 110540. doi: 10.1016/j.ress.2024.110540
• Khan, N. and Lu, H. (2023). Simulating transport capacity, delivery speed and routing efficiency to predict economic growth. Intelligent Information Management, 15(4). doi: 10.4236/iim.2023.154015
• Hu, Y., R. Wei, Y. Yang, X. Li, Z. Huang, Y. Liu, C. He, H. Lu. (2022). Performance degradation prediction using LSTM with optimized parameters. Sensors (6), 2407. doi: 10.3390/s22062407
• Izzet, S., Sun, S., Lu, H. (2020). Prediction of remaining lifetime distribution from functional trajectories under censoring data. International Journal of Intelligent Technologies and Applied Statistics, 13 (4). 347-367. doi: 10.6148/IJITAS.202012_13(4).0003
• Ding, M., Zhang Y., Wang, H., Lu, H., Xian, Hu, N., Li, Z. (2020). Fatigue-strength analysis in the very-high-cycle regime of the TC17 titanium alloy with micro scratches. Materials and Technology, 54 (2020) 3, 311-320.
• Wu, Z., T. Li†, Q. Lu, B. Shi, X. Li, X. Wang, H. Lu†, H. Zhang, (2019). Process optimization of laser cladding Ni60A alloy coating in remanufacturing. Optics and Laser Technology, available online Aug. 17, 2019: corresponding author.
• Hu, Y., Liu, S., Lu, H. and Zhang H. (2018). Online remaining useful life prognostics using an integrated particle filter. Journal of Risk and Reliability, Vol. 232(6), pages 587-597.
• Hu, Y., Liu, S., Lu, H. and Zhang, H. (2017). Online remaining useful life prognostics using an integrated particle filter. Journal of Risk and Reliability, 2018, doi:10.1177/1748006X17751494
• Chang, H., Qasaimeh, A., Lu, S. and Lu, H.† (2016). Intelligent integration of SPC/EPC for quality control and fault diagnosis. Journal of Industrial and Intelligent Information, Vol. 4, No. 3, 191-197.
• Wang, J., Y. Zhang, S. Liu, Q. Sun, Lu, H. (2016). Competitive giga-fatigue life analysis owing to surface defect and internal inclusion for FV520B-I. International Journal of Fatigue, Vol. 87, 203-209.
• Wang, J., Y. Zhang, Q. Sun, S. Liu, S., B. Shi, Lu, H. (2016). Giga-fatigue life prediction of FV520B-I with surface roughness. Materials and Design, Vol. 89, 1028-1034.
• Liu, S., Y. Hu, C. Li, H. Lu, H. Zhang (2015). Machinery condition prediction based on wavelet and support vector machine. Journal of Intelligent Manufacturing.
• Zhang, H., S. Liu, Y. Zhang and Lu, H. (2014). Remanufacturing and RUL assessment. Chapter in Handbook of Manufacturing Engineering and Technology, by A. Y.C. Nee (ed.), Springer, 978-1-4471-4669-8.
• Alqudah, S., Dong, Y., Lu, H. and Lu, S. (2014). System analysis and process redesign for quality improvement of sepsis resuscitation. International Journal of Collaborative Enterprise (IJCENT), Vol. 4, No. 1/2, 83-100.
• Song, Y. and Lu, H. (2011). Reliability of consecutive k-out-of-n: F system under incomplete information. Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering (ICQR2MSE 2011), 59-63.
• Dong, Y., Lu, H., Gajic, O. and Pickering, B. (2011). Intensive care unit operational modeling and analysis. In A. Kolker and P. Story (Eds.), Management engineering for effective healthcare delivery: principles and applications (132-147). New York, NY: I.G.I. Global.
• Um, W.S., Lu, H. and Hall, T.J.K. (2010). A study of multiagent based supply chain modeling and management. iBusiness, 2(4).
• Ren, C., Ke, W. and Lu, H. (2009). Objective Bayesian analysis for spatio-temporal models. International Journal of Technology and Applied Statistics, 2(2), 121-134.
• Biesecker, M., Kimn, J. H., Lu, H., Dingli, D., Bajzer, Z. (2009). Optimization of virotherapy for cancer. The Bulletin of Mathematical Biology, Advanced online publication. doi: 10.1007/s11538-009-9456-0
• Lin, T., Lu, S. and Lu, H. (2009). A study on performance and reliability of magnetostatic actuated RF MEMS switches. Microelectronics Reliability, 49; 59-65.
• W. Ke, W., Ren, C. and Lu, H. (2007). Using a two-stage minimum aberration criterion to select optimal two-level fractional factorial designs. Journal of Statistical Research, Vol. 41, No. 1, 81-92.
• Lu, Susan, Tu, Yuchen and Lu Huitian* (2007). Predictive condition-based maintenance for continuously deteriorating systems. Quality and Reliability Engineering International, 23, 71-81.
• W. Kolarik, W., Woldstad, J., Lu, Susan and Lu, Huitian (2004). Human performance reliability: Online assessment using fuzzy logic. I.I.E. Transaction, 36, 457-467.
• Lu, H., W. Kolarik, Lu, S. (2001). Real-time performance reliability prediction. IEEE Transactions on Reliability, No. 4, 353-357.
• Lu, S, Lu, H. and Kolarik, W. (2001). Multivariate performance reliability prediction in real-time. Reliability Engineering and System Safety, 72, 39-45.
• The U.S. patent of Automated Defect Classification in semiconductor manufacturing (Joint inventor, Texas Tech University and Texas Instruments, U.S. patent No. 6014461, Jan. 11, 2000).