Refereed Journals and Transactions

1. B. Wang♦, L. Lu, S. Chen and M. Li*, "Optimal Test Design for Reliability Demonstration under Multi-stage Acceptance Uncertainties," Quality Engineering, Vol. 36, No. 1, pp. 91-104, 2024.
2. H. Nguyen♦, X. Sun♦, Q. Lu, Q. Zhang and M. Li*, "Bayesian Heterogeneous Degradation Performance Modeling with an Unknown Number of Sub-populations," Quality and Reliability Engineering International, Vol. 39, No. 7, pp. 2686-2705, 2023.
3. X. Sun♦, N. Kong, Y. Zhao, N. Sakib♦, C. Meng, H. Meng, K. Hyer, Y. Li, C. Masterson and M. Li*, "A Latent Survival Model Integrated Computer Simulation-based Evaluation for Nursing Home Staffing," Computers & Industrial Engineering, Vol. 177, https://doi.org/10.1016/j.cie.2023.109074, 2023.
4. Z. Lou, M. Li, N. Kong, N. Campbell and W. Tu, "An Improved Statistical Modeling Approach to Individual Anticholinergic Drug Use Trend Analysis," IEEE Journal of Biomedical and Health Informatics, DOI:10.1109/jbhi.2023.3332598, 2023.
5. N. Sakib♦, X. Sun♦, N. Kong, C. Masterson, H. Meng, K. Smith and M. Li*, "Heterogeneous Length-of-stay Modeling of Post-acute Care Residents in the Nursing Home with Competing Discharge Dispositions," Frontiers of Engineering Management, Vol. 9, pp. 577-591, 2022.
6. N. Sakib♦, K. Hyer, D. Dobbs, L. Peterson, D. Jester, N. Kong and M. Li*, "A GIS Enhanced Data Analytics Approach for Predicting Nursing Home Hurricane Evacuation Response," Health Information Science and Systems, Vol. 10, No. 28, 2022.
7. H. Nguyen♦, N. Abdel-Mottaleb, S. Uddin, Q. Zhang, Q. Lu, H. Zhang and M. Li*, "Joint Maintenance Planning of Deteriorating Co-located Road and Water Infrastructures with Interdependencies," Reliability Engineering & System Safety, Vol. 226, 2022.
8. Y. Chen, Q. Zhang, M. Li and W. Cai, "Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference," National Research Logistics, pp. 1-16, year 2021.
9. X. Sun♦, L. Lu, Q. Zhang and M. Li*, "A Hierarchical Modeling Approach for Degradation Data with Mixed-type Covariates and Latent Heterogeneity," Reliability Engineering & System Safety, Vol. 216, 2021.
10. X. Sun♦, M. Li, G. Liang, Q. Zhang and Y. Feng "Bayesian Heterogeneous Assembly Time Modeling for Robotic Performance Prediction," Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 15, No. 1, 2021.
11. S. Chen♦, L. Lu, Q. Zhang and M. Li*, "Optimal Binomial Reliability Demonstration Tests Design under Acceptance Decision Uncertainty," Quality Engineering, Vol. 32, pp. 492-508, 2020.
12. S. Mohebbi, Q. Zhang, C. Wells, T. Zhao, H. Nguyen♦, M. Li, N. Abdel-Mottaleb, S. Uddin, Q. Lu, M. Wakhungu, Z. Wu, Y. Zhang, A. Tuladhar and X. Ou, "Cyber-Physical-Social Interdependencies and Organizational Resilience: A Review of Water, Transportation, and Cyber Infrastructure Systems and Processes," Sustainable Cities and Society, Vol. 62, 2020.
13. Z. Xu, Q. Zhang, W. Li, M. Li and PSF. Yip, "Individualized Prediction of Depressive Disorder in the Elderly: A Multitask Deep Learning Approach," International Journal of Medical Informatics, Vol. 132, 2019.
14. Y. Shi, Y. Xiang and M. Li, "Optimal Maintenance Policies for Multi-level Preventive Maintenance with Complex Effects," IISE Transactions, Vol. 51, No. 9, pp. 999-1011, 2019.
15. X. Sun♦, H. Mraied, W. Cai, Q. Zhang, G. Liang and M. Li*, "Bayesian Latent Degradation Performance Modeling and Quantification of Corroding Aluminum Alloys," Reliability Engineering & System Safety, Vol. 178, pp. 84-96, 2018.
16. T. Dahigamuwa, M. Gunaratne and M. Li, "An Improved Data-Driven Approach for the Prediction of Rainfall-Triggered Soil Slides Using Downscaled Remotely Sensed Soil Moisture," Geosciences, Vol. 8, No. 9, 1-27, 2018, doi:10.3390/geosciences8090326
17. S. Chen♦, N. Kong, X. Sun♦, H. Meng and M. Li*, "Claims Data-driven Modeling of Hospital Time-to-readmission Risk with Latent Heterogeneity," Health Care Management Science, Vol. 22, No. 1, pp. 156-179, 2018, https://doi.org/10.1007/s10729-018-9431-0.
18. S. Chen♦, L. Lu, Y. Xiang, Q. Lu and M. Li*, "A Data Heterogeneity Modeling and Quatification Approach for Field Pre-assessment of Chloride-Induced Corrosion in Aging Infrastructures," Reliability Engineering & System Safety, Vol. 171, pp. 123-135, 2018.
19. T. Shireen, C. Shao, H. Wang, J. Li, X. Zhang and M. Li, "Iterative Multi-task Learning for Time-series Modeling of Solar Panel PV Outputs," Applied Energy, Vol. 212, pp. 654-662, 2018.
20. Z. Zhu, Y. Xiang, M. Li, W. Zhu and K. Schneider, "Preventive Maintenance subject to Equipment Unavailability," IEEE Transactions on Reliability, Vol. 68, No. 3, pp. 1009-1020, 2019.
21. N. Sakib♦, X. Sun♦, N. Kong, H. Meng and M. Li*, "Bi-level Heterogeneity Modeling of Functional Performance Degradation for the Aging Population," IISE Transactions on Healthcare Systems Engineering, Vol. 7, No. 3, pp. 156-167, 2017.
22. M. Li*, H. Meng and Q. Zhang, "A Nonparametric Bayesian Modeling Approach for Heterogeneous Lifetime Data with Covariates," Reliability Engineering & System Safety, Vol. 167, pp. 95-104, 2017.
23. S. Chen♦, L. Lu and M. Li*, "Multi-state Reliability Demonstration Tests," Quality Engineering, Vol. 29, No. 3, pp. 431-445, 2017.
24. M. Li, W. Zhang, Q. Hu, H. Guo and J. Liu, "Design and Risk Evaluation of Reliability Demonstration Test for Hierarchical Systems With Multilevel Information Aggregation," IEEE Transactions on Reliability, Vol. 66, No. 1, pp. 135-147, 2017.
25. M. Li, J. Han and J. Liu, "Bayesian Nonparametric Modeling of Heterogeneous Time-to-event Data with an Unknown Number of Sub-populations," IISE Transactions, Vol. 49, No. 5, pp. 481-492, 2017.
26. L. Lu, M. Li and A. Christine, "Multiple Objective Optimization in Reliability Demonstration Test," Journal of Quality Technology, Vol. 48, No. 4, pp. 1-18, 2016.
27. M. Li and J. Liu, "Bayesian Hazard Modeling based on Lifetime Data with Latent Heterogeneity," Reliability Engineering & System Safety, Vol. 145, pp. 183-189, 2016.
28. X. Wei, A. Kusiak, M. Li, F. Tang and Y. Zeng, "Multi-objective Optimization of the HVAC (Heating, Ventilation, and Air Conditioning) System Performance," Energy, Vol. 83, pp. 294-306, 2015.
29. Y. Yuan, Z. Wang, M. Li, Y-J. Son and J. Liu, "DDDAS-based Information Aggregation for Crowd Dynamics Modeling with UAVs and UGVs," Frontiers in Robotics and AI, Vol.2, pp. 1-10, 2015.
30. M. Li, Q. Hu and J. Liu, "Proportional Hazard Modeling for Hierarchical Systems with Multi-level Information Aggregation," IIE Transactions, Vol. 46, No. 2, pp. 149-163, 2014.
31. M. Li, J. Liu, J. Li and B. Uk Kim, "Bayesian Modeling of Multi-state Hierarchical Systems with Multi-level Information Aggregation," Reliability Engineering & System Safety, Vol. 124, pp. 158-164, 2014.
32. B. Uk Kim, D. Goodman, M. Li, J. Liu and J. Li, "Improved Reliability-based Decision Support Methodology Applicable in System-level Diagnosis/Prognosis", IEEE Transactions on Aerospace and Electronic Systems, Vol 50, No. 4, pp. 2630-2641, 2014.
32. A. M. Khaleghi, D. Xu, Z. Wang, M. Li, A. Lobos, J. Liu and Y-J. Son, "A DDDAMS-based Planning and Control Framework for Surveillance and Crowd Control via UAVs and UGVs," Expert Systems with Applications, Vol. 40, No. 18, pp. 7168-7183, 2013.
34. A. Kusiak, M. Li, "Cooling Output Optimization of an Air Handling Unit," Applied Energy, Vol. 87, No. 3, pp. 901-909, 2010.
35. A. Kusiak, M. Li and Z.-J. Zhang, "A Data-driven Approach for Steam Load Prediction in Buildings," Applied Energy, Vol. 87, No. 3, pp. 925-933, 2010.
36. A. Kusiak, M. Li, "Reheat Optimization of the Variable-Air-Volume Box," Energy, Vol. 35, No. 5, pp. 1997-2005, 2010.
37. A. Kusiak, M. Li and H. Zheng, "Virtual Models of Indoor-Air-Quality Sensors," Applied Energy, Vol. 87, No. 6, pp. 2087-2094, 2010.
38. A. Kusiak, Z. Zhang and M. Li, "Optimization of Wind Turbine Performance with Data-Driven Models," IEEE Transactions on Sustainable Energy, Vol. 1, No. 2, pp. 66-76, 2010.
39. A. Kusiak, M. Li and F. Tang, "Modeling and Optimization of HVAC Energy Consumption," Energy, Vol. 87, No. 10, pp. 3092-3102, 2010.
40. A. Kusiak, M. Li, "Optimal Decision Making in Ventilation Control," Energy, Vol. 34, No. 11, pp. 1835-1845, 2009.

Book Chapters

1. S. Jiang, M. Li and N. Kong, "Stochastic Lookahead Optimization with Bayesian Forecasting," Book chapter in Encyclopedia of Optimization, Word Scientific Publishing, in press, 2023.
2. X. Sun♦, Z. Lou, M. Li, N. Kong and P. Parikh, "Predictive Modeling of Care Demand and Transition," Book chapter 6 in Stochastic Modeling and Analytics in Healthcare Systems, Word Scientific Publishing, pp. 135-166, 2017.

Peer-Reviewed Conference Proceedings

1. Y. Kuang, D. Das, M. Li and K. Johnson, "A Continuous-time Stochastic Modeling Approach for Measuring and Monitoring the Cascade of Care for Patients with Alcohol Use Disorder," Proceedings of the IISE Annual Conference & Expo 2022, May 21-24, 2022.
2. S. Jiang, N. Kong, K. Abrahamson, M. Li and Y. Yih, "Optimal Nursing Home Service Scheduling under Covid-19 Related Probabilistic Staff Shortage: A Two-Stage Stochastic Programming Approach," Proceedings of the IISE Annual Conference & Expo 2021, May 22-25, 2021.
3. S. Jiang, M. Li, K. Hyer and N. Kong "Optimal Nursing Home Shift Scheduling: A Two-Stage Stochastic Programming Approach," Proceedings of the 2020 IEEE 16th International Conference on Automation Science and Engineering, Hong Kong, Aug. 20-21, 2020.
4. N. Sakib♦, K. Hyer, D. Dobbs, L. Peterson, D. Jester, N. Kong and M. Li*, "Data Integrated Predictive Analytics for Nursing Home Hurricane Evacuation," IISE Annual Conference, Orlando, FL., May 18-21, 2019. (Best Health System Track Paper Award)
5. S. Sarmadi♦, M. Li and S. Chellappan, "A Statistical Framework to Forecast Duration and Volume of Internet Usage based on Pervasive Monitoring of Netflow Logs," in Proceedings of IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), 2018.
6. N. Sakib♦, X. Sun♦, C. Meng, N. Kong, C. Masterson, H. Meng, K. Hyer and M. Li*, "A Data-driven Staffing Decision Platform for Improving Nursing Care Operational Excellence," 11th World Conference of International Society for Gerontechnology, St. Petersburg, FL., May 7-11, 2018.
7. Z. Zhu, Y. Xiang, T. Jin and M. Li, "A Sequential Opportunistic Maintenance Policy for Multi-unit Systems subject to Stochastic Degradation," IEEE Annual Proceedings in Reliability and Maintainability Symposium (RAMS), Jan 22-25, 2018.
8. W. Silva-Sotillo, M. Li and T. K. Das, "Analysis of the Infection Time from a Potential H7N9 Influenza Pandemic Outbreak," The Fifteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, Boca Raton, FL., July 19-21, 2017.
9. X. Sun♦, C. Meng, N. Kong, H. Meng, K. Hyer and M. Li*, "Data-driven Simulation for Healthcare Facility Utilization Modeling and Evaluation," Proceedings of the Winter Simulation Conference, Las Vegas, NV., Dec. 3-6, 2017.
10. E. Handling, H. Meng, W. Monaco, M. Ji, M. Li, P. Foulis and S. Buslovich, "Adherence to Glycemic Control Guidelines and 8-Year Mortality Risk Among U.S. Adults with Diabetes," Innovation in Aging, Vol. 1, No. S1, 2017.
11. S. Sarmadi♦, M. Li and S. Chellappan, "On the Feasibility of Profiling Internet Users Based on Volume and Time of Usage," IEEE 9th Latin-American Conference on Communications, Guatemala City, Guatemala, Central America, Nov. 8-10, 2017.
12. H. Nguyen♦, X. Sun♦, Z. Zhang and M. Li*, "Real-Time Health Monitoring of Wind Turbine Gearbox Performance," Proceedings of the Industrial and Systems Engineering Research Conference, Pittsburgh, PA., May 20-23, 2017.
13. S. Chen♦, W. Kearns, J. Fozard and M. Li*, "Personalized Fall Risk Assessment for Long-term Care Service Improvement," IEEE Annual Proceedings in Reliability and Maintainability Symposium (RAMS), Jan 23-26, 2017.
14. X. Sun♦, H. Meng, K, K. Hyer and M. Li*, "Bayesian Data Analytics for Personalized Hospital Length-of-Stay Modeling and Analysis," Proceedings of the Industrial and Systems Engineering Research Conference, Anaheim, CA., May 21-24, 2016.
15. H. Yang, M. Li, J. Han, H. Chen, B. Zhang and J. Liu, "Statistical Modeling of Heterogeneous Robotic Assembly Time with Weibull Regression," IEEE Conference on Robotics and Biomimetics, Zhuhai, China, Dec. 6-9, 2015.
16. M. Li and J. Liu, "Bayesian Modeling and Inferencing of Heterogeneous Time-to-Event Data with an Unknown Number of Sub-populations," INFORMS Annual Meeting, San Francisco, California, Nov. 9-12, 2014. (Best Student Paper Award Finalist in Quality Statistics and Reliability Section of INFORMS)
17. W.-J. Huang, Z. D. Fortuno, M. Li, J. Liu, H. Liao, K. Simmons-Potter and B. G. Potter, "Combined-environment Influence on Microcrack Evolution in Mono-crystalline Silicon," Proceedings of SPIE 9179, Reliability of Photovoltaic Cells, Modules, Components, and Systems VII, 2014.
18. A. M. Khaleghi, D. Xu, S. Minaeian, M. Li, Y. Yuan, J. Liu, Y-J. Son, C. Vo and J-M, Lien, "A DDDAMS-based UAV and UGV Team Formation Approach for Surveilliance and Crowd Control," Proceedings of the Winter Simulation Conference,Savannah, GA, Dec.7-10, 2014.
19. M. Li, H. Chen, B. Zhang, J. Liu and B. Uk Kim, "Hazard Regression Modeling for Robotic Performance Prediction," Proceedings of the Industrial and Systems Engineering Research Conference, Montreal, QC, May 3-Jun. 3, 2014.
20. A. M. Khaleghi, D. Xu, M. Li, Y. Yuan, J. Liu, Y-J. Son, S. Minaeian, J-M. Lien, C. Vo and A. Mousavian, "A Comparative Study of Control Architecture in UAV/UGV-based Surveillance System," Proceedings of the Industrial and Systems Engineering Research Conference, Montreal, QC, May 3-Jun. 3, 2014.
21. Z. Wang, M. Li, A. M. Khaleghi, D. Xu, A. Lobos, C. Vo, J. Lien, J. Liu and Y-J. Son, "DDDAMS-based Crowd Control via UAVs and UGVs," Procedia Computer Science, International Conference on Computational Science, Vol. 18, pp. 2028-2035, 2013.
22. M. Li and J. Liu, "System Reliability Modeling for Multi-state Hierarchical System with Multi-level Information Aggregation," The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Hong Kong, Dec. 10-13, 2012. (Honorable Mention in Best Paper Award)
23. B. Uk Kim, S. Vohnout, E. Mikkola, M. Li and J. Liu, "Causal Analysis for Troubleshooting and Decision Support System," Proceedings of IEEE Conference on Prognostics and Health Management (PHM), Montreal, QC, Jun. 20-23, 2011.

My Student ♦

Presentations and Talks

1. "Skilled Nursing Facility Service Utilization Modeling and Staffing Evaluation with Competing Discharge Disposition", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
2. "Optimal Maintenance Management of the Deteriorating Water and Transportation Infrastructures with Interdependencies", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
3. "Optimal Design of Reliability Demonstration Tests with Risk-adjusted Costs", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
4. "Data Analytics Integrated Simulation for Older Adults Healthcare Utilization Modeling and Evaluation under Multi-type Settings", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
5. "Consistent Nursing Staff Planning Under Heterogeneous Service Demand", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
6. "A Simulation Optimization Approach to Nursing Home Capacity Planning with Residents Heterogeneity", INFORMS Annual Meeting, Phoenix, Arizona, Nov. 4-7, 2018.
7. "Heterogeneous Degradation Performance Modeling of Deteriorating Road Infrastructures", IISE Annual Conference, Orlando, Florida, May 19 - 22, 2018.
8. "Healthcare Facility Utilization Modeling and Evaluation via Bayesian Analytics Integrated Agent-based Simulation", IISE Annual Conference, Orlando, Florida, May 19 - 22, 2018.
9. "Nursing Home Service Demand Modeling and Evaluation with Competing Discharge Disposition", IISE Annual Conference, Orlando, Florida, May 19 - 22, 2018.
10. "Heterogeneous Degradation Performance Modeling for Prognostics and Health Management of Deteriorating Infrastructures", IISE Annual Conference, Orlando, Florida, May 19 - 22, 2018.
11. "Hospital Time-to-Readmission Risk Modeling with Latent Heterogeneity", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
12. "Role Identification and Modeling of Online Health Communities", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
13. "Physical-statistical Modeling and Quantification of Degradation Rate for Corroding Aluminum Alloy", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
14. "Bi-level Heterogeneous Degradation Modeling of Functional Performance for the Aging Population", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
15. "Analysis of the Infection Time from a Potential H7N9 Influenza Pandemic Outbreak", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
16. "Multi-state Reliability Demonstration Tests", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
17. "Integrated Performance Modeling of Water and Transportation Infrastructures with Physical-socioeconomic Interdependencies", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
18. "Bayesian Fall Risk Assessment for Older Adults in Assisted Living Facilities", INFORMS Annual Meeting, Houston, Texas, Oct. 22-25, 2017.
19. "Design and Planning of Bayesian Multi-state Reliability Demonstration Testing", IISE Annual Conference, Pittsburgh, Pennsylvania, May 20 - 23, 2017.
20. "Real-Time Health Monitoring of Wind Turbine Gearbox Performance", IISE Annual Conference, Pittsburgh, Pennsylvania, May 20 - 23, 2017.
21. Personalized Fall Risk Assessment for Long-term Care Service Improvement," IEEE Annual Proceedings in Reliability and Maintainability Symposium (RAMS), Orlando, Florida, Jan 23-26, 2017.
22. "Bayesian Data Analytics For Individualized Health Care Demand Modeling Of Aging Population", INFORMS Annual Meeting, Nashville, Nov. 13-16, 2016.
23. "A Data-driven Heterogeneity Quantification Approach For Chloride Ingress Profiles Of Aging Marine Infrastructures", INFORMS Annual Meeting, Nashville, Nov. 13-16, 2016.
24. "Exploratory Data Analytics For Temporal Lighting Energy Usage In Commercial Buildings", INFORMS Annual Meeting, Nashville, Nov. 13-16, 2016.
25. "Bayesian Data Analytics for Personalized Hospital Length-of-Stay Modeling and Analysis", IIE Annual Conference, Anaheim, California, May 21 - 24, 2016.
26. "Multiple Objective Optimization in Reliability Demonstration Test", IIE Annual Conference, Anaheim, California, May 21 - 24, 2016.
27. "Bayesian Hazard Modeling of Heterogeneous Lifetime Data with an Unknown Number of Sub-populations", INFORMS Annual Meeting, Philadelphia, Pennsylvania, Nov. 1-4, 2015.
28. "Bayesian Hazard Modeling based on Lifetime Data with Latent Heterogeneity", IIE Annual Conference, Nashville, Tennessee, May 30 - June 2, 2015.
29. "Bayesian Modeling and Inferencing of Heterogeneous Time-to-Event Data with an Unknown Number of Sub-populations", INFORMS Annual Meeting, San Francisco, California, Nov. 9-12, 2014.
30. "Application of Computational Intelligence in Modeling and Optimization of HVAC Systems", invited talk at INFORMS Annual Meeting, San Francisco, California, Nov. 9-12, 2014.
31. "Reliability Modeling based on Lifetime Data with Latent Heterogeneity", Industrial and Systems Engineering Research Conference (ISERC), Montreal, QC, May 3-Jun. 3, 2014.
32. "Hazard Regression Modeling for Robotic Performance Prediction", Industrial and Systems Engineering Research Conference (ISERC), Montreal, QC, May 3-Jun. 3, 2014.
33. "Modeling Reliability of Heterogonous Products with Semi-latent Hazard Regression System", INFORMS Annual Meeting, Minneapolis, Minnesota, Arizona, Oct., 2013.
34. "Risk Evaluation of System Reliability Demonstration Testing with Multi-level Information Aggregation", INFORMS Annual Meeting, Minneapolis, Minnesota, Arizona, Oct., 2013.
35. "Information Aggregation-based Crowd Tracking using UAVs and UGVs", INFORMS Annual Meeting, Minneapolis, Minnesota, Arizona, Oct., 2013.
36. "System Reliability Demonstration Testing with Multi-level Information Aggregation", The Second International Symposium on System Information and Engineering, Xi'an, China, July, 2013
37. "Workforce Performance Evaluation Based on Robust Zero-Inflated Poisson Regression and ANOMR/ANOMRV Chart", (On behalf of Z. Wang) The Second International Symposium on System Information and Engineering, Xi'an, China, July, 2013.
38. "System Reliability Demonstration Testing with Multi-level Information Aggregation", INFORMS Annual Meeting, Phoenix, Arizona, May, 2012.
39. "Proportional Hazard Modeling of Hierarchical Systems with Multi-level Information Aggregation", Industrial Engineering Research Conference (IERC), Reno, Nevada, May, 2011.
40. "Cooling Output optimization of an Air Handling Unit", Symposium on Control and Modeling of Alternative Energy System, University of Illinois at Urbana-Champaign, April 2, 2009.
41. "HVAC System Optimization: A Data Driven Approach" to first year students from the University of Iowa, University of Iowa, October 12, 2009.