Dahui Liu

My expertise lies in optimization modeling and algorithm development, and I possess a deep understanding of programming languages such as Python, C++, Matlab, and others. I am a research professional with advanced mathematical and analytical capabilities. I specialize in developing models to aid the design of complex system frameworks by leveraging data analysis, developing mathematical models, implementing algorithms, and providing practical solutions. Additionally, I am proficient in utilizing professional software like Vissim, ArcGIS, GAMs, and R.

I have hands-on experience in applying high-performance computing (HPC) for distributed and parallel computing, and I am enthusiastic about the development and implementation of Machine Learning and Artificial Intelligence (AI) algorithms. I am a self-motivated individual driven by the aspiration to advance professionally in the fields of Operations Research, Computer Science, and Data Science.

Peer-reviewed Articles:

• D. Liu, B. Eksioglu, M. J. Schmid, N. Huynh and G. Comert (2024). Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks. in Expert Systems With Applications, vol. 249, part B, doi: 10.1016/j.eswa.2024.123650.
• D. Liu, C. Guo, L. Nozick, M. Millea, J. Kruse, C. Williams, R. Davidson, J. Trainor (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.
• D. Liu, S. Eksioglu and M. Roni (2021). "Optimal Control of Biomass Feedstock Processing System Under Uncertainty in Biomass Quality," in IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1645-1661, doi: 10.1109/TASE.2021.3133211.
• D. Liu, B. Eksioglu, M. J. Schmid, N. Huynh and G. Comert (2021). "Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7570-7586, doi: 10.1109/TITS.2021.3071442.
• D. Liu, I.S. Wing, L. Nozick, B. Blanton, J. Kruse, M. Millea, J. Li (2023). Unequal Economic Consequences of Coastal Hazards: Hurricane Impacts on North Carolina. Revised and Resubmitted to Environmental Research Letters. Under review.
• D. Liu, L. Nozick, R. Davidson, M. Millea, J. Kruse, J. Li (2023). Computing and Evaluating Multi-regions Competitive Prices for hurricane-related insurance. Submitted to European Journal of Operational Research. Under review.
• D. Liu, M. Millea, L. Nozick, J. Kruse, J. Li (2023). Distribution of Benefits to Homeowners and Insurers from Government-founded Mitigation. Submitted to The Geneva Papers on Risk and Insurance. Under review.
• R. Davidson, J. Kruse, D. Liu, M. Millea, L. Nozick, I.S. Wing, J. Trainor, C. Williams (2024). Stakeholder-based Tool for the Analysis of Regional Risk (STARR). Submitted to Risk Analysis. Under review.

Conference Proceedings:

• B. Cheng, D. Liu, L. Nozick (2024). Understanding Derived Demand for Transportation to Support Electric Vehicle Recharging After Earthquake Events. 57th Hawaii International Conference on System Sciences, HICSS 2024.
• D. Liu, L. Nozick, M. Millea, J. Kruse, R. Davidson, C. Williams, J. Trainor (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.
• D. Liu, SD. Eksioglu, M. Roni. FN. Kucuksayacigi (2021). Optimization Model for Streamlining of Biomass Processing Systems. In IIE Annual Conference. Proceedings (pp. 830-835). Institute of Industrial and Systems Engineers (IISE).
• D. Liu, B. Eksioglu, M. Schmid, N. Huynh, G. Comert (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).
• M. Schmid, D. Liu, B. Eksioglu, N. Huynh, G. Comert (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). (2020 Best Paper award of the IISE Modeling and Simulation Division)

Dissertation and Thesis:

• D. Liu. (Advisor: B Eksioglu) Optimizing Energy Savings for a Fleet of Commercial Autonomous Vehicles via Centralized and Decentralized Platooning Decisions. (Doctoral Dissertation)
• D. Liu. (Advisor: Z Dai) Technique Process Design and Control for NLE Assembly Line. (Bachelor Thesis)

• Title: LEAP-HI: Embedding Regional Hurricane Risk Management in the Life of a Community: A Computational Framework

Sponsor(s): National Science Foundation (NSF)

PI: Rachel A Davidson; Co-PI: Linda K Nozick

My contribution: I have developed a comprehensive stochastic and dynamic computational framework that integrates multiple modules to support government decision-making. This framework encompasses simulated hazard events, building losses, homeowner decision-making, insurance and reinsurance pricing, multi-insurer competition, and government mitigation grant allocation strategies. The framework is linked to a simulation-optimization model focused on minimizing region-wide losses. This was successfully applied in a case study conducted in Eastern North Carolina. I am now keen on expanding my work by implementing a model designed to address the challenges posed by climate change scenarios.

• Title: Large-scale CoPe: Coastal Hazards, Equity, Economic prosperity, and Resilience (CHEER)

Sponsor(s): National Science Foundation (NSF)

PI: Rachel A Davidson; Co-PI: Linda K Nozick

My contribution: I employed a computable general equilibrium model in conjunction with the previously established integrated framework to delve into the intricate relationship between equity, economic prosperity, and regional resilience in the face of hurricane impacts. To address the specific needs of low-income populations, I developed segmented mitigation strategies and dual insurance plans aimed at mitigating extreme cases. My work also entailed designing a multiple-zone insurance pricing model and a heuristic-based search algorithm. Furthermore, I established a high-resolution loss model to examine the interplay between economic sectors and social vulnerability. Additionally, I conducted evaluations of government interventions to assess their impact on various stakeholders, including homeowners and insurers, seeking to understand the broader implications of these actions.

• Title: Integrated Process Optimization for Biochemical Conversion

Sponsor(s): Energy Efficiency and Renewable Energy Office (EERE)

PI: SD. Eksioglu

My contribution: I have created a chance-constraint optimization model aimed at enhancing process control in an integrated biorefinery, particularly focusing on biomass blending in the presence of uncertainty. I implemented a Sample Mean Approximation approach to solve the model and improve system reliability and cost efficiency. This approach ensures that the requirements of the biochemical conversion process are consistently met while concurrently reducing operational costs.

• Title: Framework for Accommodating Emerging Autonomous Vehicles

Sponsor(s): Center for Connected Multimodal Mobility (C2M2)

PI: B. Eksioglu

My contribution: I have engineered a robust simulation-optimization framework designed to quantify energy savings within real traffic conditions, with a particular focus on platooning. This framework encompasses the development of both a centralized mixed-integer programming model and a decentralized dynamic game model, which collectively determine the assignment of vehicles to platoons. To bring this framework to fruition, I established a micro-level simulation traffic network to effectively execute the decisions derived from the optimization model. In addition, I have devised a hybrid prediction formula for forecasting energy savings within vehicle fleets. This formula blends fundamental physical mechanisms with empirical data gleaned from existing studies.

Teaching Assistant at Clemson University

• IE 3600 - Industrial Applications of Probability and Statistics I
• IE 3610 - Industrial Applications of Probability and Statistics II
• IE 3810 - Probabilistic Operations Research
• IE 3840 - Engineering Economic Analysis
• IE 4400 - Decision Support Systems in Industrial Engineering
• IE 4610 - Quality Engineering
• IE 4620/6620 - Six Sigma Quality
• IE 8090 - Modeling Systems under Risk
• IE 8560 - Engineering Project Justification and Control
• MGT 8560 - Business for SC Management

• "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.
• "Simulation-Optimization Platooning Model for Fuel Savings of a Fleet of Commercial Autonomous Trucks." D Liu, B Eksioglu, M Schmid, N Huynh, G Comert. C2M2 3rd Annual Fall Conference, Clemson, SC, 2019.

Programming Languages: Python, C++, Matlab

Engineering Software: ArcGIS, AutoCAD, IMPLAN

Optimization Softwares: AMPL, CPLEX, Gurobi, GAMs

Traffic Simulation Software: Vissim

High Performance Computing: Distributed and Parallel computing

Data Analysis Software: R, Minitab, SQL, Microsoft Office

Mathematics and Operation Research: Linear Programming, Mixed-Integer Programming, Stochastic Optimization, Network Optimization, Dynamic Programming, Probability Theory, Stochastic Process, Markov Decision Process, Metaheuristics, Statistics, Data Analysis, Game Theory, Traffic Optimization, Traffic Simulation, Process Optimization, Computable General Equilibrium

Languages: English, Chinese

Mathematical Programming; Engineering Optimization and Application; Model System Under Risk; Human Factors Engineering; Game Theory; Metaheuristics; Advanced Probability Methods; Advanced Methodology of Operation Research; Multilevel Mathmatical Optimization; Applied Engineering Economics; Network Optimization; Stochastic Processes; Discrete Optimization; Applications in Traffic Engineering.

GPA: 3.85

Dr. Linda K. Nozick

Professor, Director of Civil and Environmental Engineering

Department of Civil and Environmental Engineering, Cornell University

527 College Ave (Hollister Hall), Room 220, Ithaca, NY 14853

Email: lkn3@cornell.edu

Phone: (607)-279-4526

Dr. Burak Eksioglu

Professor

Department of Industrial Engineering, University of Arkansas

Department of Supply Chain Management (joint appointment), University of Arkansas

4183 Bell Engineering Center, Fayetteville, AR 72701

Email: burak@uark.edu

Phone: (662)-722-0814

Dr. Sandra Eksioglu

Hefley Professor in Logistics and Entrepreneurship, Associate Dean of College of Engineering

Department of Industrial Engineering, University of Arkansas

4207 Bell Engineering Center, Fayetteville, AR 72701

Email: sandra@uark.edu

Phone: (662) 722-0816

Dr. Jamie B. Kruse

THCAS Distinguished Professor of Economics, Director of Center for Natural Hazards Research
Department of Economics, East Carolina University

Brewster A-112 Tenth Street, Greenville, NC 27858

Email: krusej@ecu.edu

Phone: (252) 328-5784

Dr. Matthias Schmid

Research Assistant Professor

Department of Automotive Engineering, Clemson University

4 Research Drive, Greenville, SC 29607

Email: schmidm@clemson.edu

Phone: (864) 283-7245