Haobin Li

BIOGRAPHY

Dr. Li Haobin is a Senior Lecturer at the National University of Singapore, Department of Industrial Systems Engineering and Management. He received his B.Eng. degree (1st Class Honors) in 2009 from the Department of Industrial and Systems Engineering at National University of Singapore, with minor in computer science; and Ph.D. degree from the same department in 2014. He has research interests in operation research, simulation optimization and designing high performance optimization tools which are ready for practical industrial use. His main contribution includes development of MO-COMPASS algorithm for multi-objective simulation optimization, GO-POLARS algorithm for incorporating gradient information into a stochastic search, and O2DES framework for discrete-event simulation modeling.

Education

• Ph. D., Department of Industrial & Systems Engineering, National University of Singapore, Aug. 2009 – Feb. 2014
• Advisors: Prof. Lee Loo Hay and Prof. Chew Ek Peng
• B. Eng. Hons (1st), Department of Industrial & Systems Engineering, Minor in Computer Science, National University of Singapore, Aug. 2005 – Jun. 2009
• Specializations: Logistics and System Optimization

Research Interests

• Simulation-based Optimization
• Discrete-Event Simulation Modelling
• System Dynamics Simulation Modelling
• Maritime Port Operations
• Logistics Warehouse Operations

Selected Publications

• Li, H., Cao, X., Sharma, P., Lee, L. H., & Chew, E. P. (2020, December). Framework of O2DES.Net Digital Twins for Next Generation Ports and Warehouse Solutions. In 2020 Winter Simulation Conference (WSC) (pp. 3188-3199). IEEE.
• Li, H., Zhou, C., Lee, B. K., Lee, L. H., Chew, E. P., & Goh, R. (2017) Capacity Planning for Mega Container Terminals with Multi-Objective and Multi-Fidelity Simulation Optimization. IISE Transactions.
• Li, H., Lee, L. H., Chew, E. P., & Chen, C. H. (2017). GO-POLARS: A Steerable Stochastic Search on the Strength of Hyper-Spherical Coordinates. IEEE Transactions on Automatic Control.
• Li, H., Pedrielli, G., Lee, L. H., & Chew, E. P. (2016). Enhancement of Supply Chain Resilience Through Inter-Echelon Information Sharing. Flexible Services and Manufacturing Journal, pp. 1 – 26.
• Li, H., & Pedrielli, G. (2016). Shipment Policy Optimization in a Return Supply Chain for Online Retailers via Stochastic Discrete Event Simulation-Optimization. International Journal of Simulation and Process Modelling, Vol. 11, No. 3/4, pp. 241 – 258.
• Li, H., Zhu, Y., Chen, Y., Pedrielli, G., & Pujowidianto, N. A. (2015, December). The object-oriented discrete event simulation modeling: a case study on aircraft spare part management. In 2015 Winter Simulation Conference (WSC) (pp. 3514-3525). IEEE.
• Li, H., Lee, L. H., Chew, E. P., & Lendermann, P. (2015). MO-COMPASS: A Fast Convergent Search Algorithm for Multi-Objective Discrete Optimization via Simulation. IIE Transactions, 47 (11).