INTRODUCTION

Dr. Dahui Liu is currently working in the Department of Management Science and Engineering at the Glorious Sun School of Business and Management, Donghua University. After graduating from Shanghai Maritime University, he pursued a doctoral degree in Industrial Engineering at Clemson University, and worked as a postdoctoral associate in Cornell University and the University of Arkansas for nearly 4 years. His research focuses on Applied Operations Research, Supply Chain Management, Intelligent Transportation, Natural Hazards Risk Management and other related fields. He has participated in and completed several related projects supported by the National Science Foundation (NSF), the U.S. Department of Transportation, and the U.S. Department of Energy.

Education

• 2013.10-2020.08  Industrial Engineering, Clemson University, Ph.D.

• 2009.09-2013.07  Industrial Engineering, Shanghai Maritime University, B.S.

Work Experience

• 2024.7-    Glorious Sun School of Business and Management, Donghua University, Assistant Professor

• 2021.09-2024.06  School of Civil and Environmental Engineering, College of Engineering，Cornell University, Postdoctoral Associate

• 2020.09-2021.09  Department of Engineering, College of Engineering，University of Arkansas, Postdoctoral Fellow

Research Projects

• 2022-2024  Large-scale CoPe: Coastal Hazards, Equity, Economic prosperity, and Resilience (CHEER), National Science Foundation（NSF），Participant

• 2017-2023  LEAP-HI: Embedding Regional Hurricane Risk Management in the Life of a Community: A Computational Framework, National Science Foundation（NSF），Participant

• 2018-2023  Integrated Process Optimization for Biochemical Conversion, US Department of Energy（USDOE），Participant

• 2017-2021  Framework for Accommodating Emerging Autonomous Vehicles, US Department of Transportation（USDOT），Participant

TEACHING COURSES

• Blockchain Technology and Applications, Engineering Management

ACADEMIC ACHIEVEMENTS

Peer-reviewed Journal Articles

• Liu, D., Li, J., Wing, I. S., Blanton, B., Kruse, J., Nozick, L., & Millea, M. (2024). Unequal economic consequences of coastal hazards: hurricane impacts on North Carolina. Environmental Research Letters, 19(10), 104003.

• Liu, D., Eksioglu, B., Schmid, M., Huynh, N., & Comert, G. (2024). Decentralized platoon formation for a fleet of connected and autonomous trucks. Expert Systems with Applications, 249, 123650.

• Liu, D., Guo C., Nozick L., Millea M., Kruse J., Williams C., Davidson R., Trainor J. (2024). Comprehensive Approach to Reduce Hurricane Risk with a Focus on Equity and Economic Prosperity, chapter Springer Nature under the Global Alliance of Disaster Research Institute (GADRI) Book Series: Disaster and Risk Research.

• Liu, D., Eksioglu, S., & Roni, M. (2021). Optimal Control of Biomass Feedstock Processing System Under Uncertainty in Biomass Quality. IEEE Transactions on Automation Science and Engineering, 19(3), 1645-1661.

• Liu, D., Eksioglu, B., Schmid, M. J., Huynh, N., & Comert, G. (2021). Optimizing energy savings for a fleet of commercial autonomous trucks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 7570-7586.

• Liu D., Nozick L., Millea M., Kruse J., Davidson R., Trainor J., Li J., Williams C. Impacts on homeowners and insurers from Government-funded mitigation. The Geneva Papers on Risk and Insurance. Upcoming.

• Liu D., Nozick L., Kruse J., Millea M., Li J., Davidson R. Computing and Evaluating Multi-regions Competitive Prices for hurricane-related insurance. International Journal of Disaster Risk Reduction. Upcoming.

• Davidson R., Kruse J., Liu D., Millea M., Nozick L., Wing I.S., Trainor J., Williams C.. Stakeholder-based Tool for the Analysis of Regional Risk (STARR). Natural Hazards Review. Upcoming.

• Liu D., Nozick L., Millea M., Kruse J., Davidson R., Williams C., Trainor J. (2023). Understanding the impacts of government spending on retrofits and buyouts to mitigate regional and homeowner impacts from hurricanes. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.

• Liu, D., Eksioglu, S., Roni, M., & Kucuksayacigil, F. N. (2021). Optimization Model for Streamlining of Biomass Processing Systems. In IIE Annual Conference. Proceedings (pp. 830-835). Institute of Industrial and Systems Engineers (IISE).

• Liu, D., Eksioglu, B., Schmid, M., Huynh, N., & Comert, G. (2020). Simulation-Optimization Platooning Model for of a Fleet of Commercial Autonomous Trucks. In IIE Annual Conference. Proceedings (pp. 1-6). Institute of Industrial and Systems Engineers (IISE).

• Cheng, B., Liu, D., & Nozick, L. (2024). Understanding Derived Demand for Transportation to Support Electric Vehicle Recharging After Earthquake Events. 57th Hawaii International Conference on System Sciences, HICSS 2024.

• Schmid, M., Liu, D., Eksioglu, B., Huynh, N., & Comert, G. (2020). Prediction Model for Energy Consumption in Heavy-Duty Vehicle Formations. In IIE Annual Conference. Proceedings (pp. 1176-1181). Institute of Industrial and Systems Engineers (IISE).

• 'Understanding Derived Demand for Transportation to Support Electric Vehicle Recharging After Earthquake Events.' D Liu, B cheng, L Nozick. 57th HICSS Annual Conference, Honolulu, HI, 2024.

• 'Hurricane Policy Support through Integration of Disciplinary Contributions.' R Davidson, J Kruse, D Liu, M Millea, L Nozick, J Trainor, C Williams. ASCE INSPIRE Annual Conference, Arlington, VA, 2023.

• 'Modeling Policy Interventions to Reduce Losses for Low Income Households from Hurricanes.' D Liu, L Nozick, J kruse, M Millea, R Davidson, J Trainor. INFORMS Annual Conference, Phoenix, AZ, 2023.

• 'Optimization of Integrated Biorefinery Operations Via Biomass Blending.' D Liu, SD Eksioglu, M Roni. INFORMS Annual Conference, Anaheim, CA, 2021

• 'Optimization Model for Streamlining of Biomass Processing Systems.' D Liu, SD Eksioglu, M Roni. FN Kucuksayacigi. IISE Annual Conference (virtual), Montreal, Canada, 2021.

• 'Simulation-Optimization Platooning Model for of a Fleet of Commercial Autonomous Trucks.' D Liu, B Eksioglu, M Schmid, N Huynh, G Comert. IISE Annual Conference (virtual), New Orleans, LA, 2020.

• 'Prediction Model for Energy Consumption in Heavy-Duty Vehicle Formations.' D Liu, M Schmid, B Eksioglu, N Huynh, G Comert. IISE Annual Conference (virtual), New Orleans, LA, 2020.