The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hoong Chuin Lau sits on this spectrum.
This scientist: 309 publications — 75th percentile
75% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hoong Chuin Lau sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hoong Chuin Lau is affiliated with Singapore Management University in Singapore and has contributed extensively to research in engineering and computer science. Their work primarily focuses on artificial intelligence and industrial and manufacturing engineering, with significant contributions in automotive, building and construction, and ocean engineering subfields.
Their research centers around key topics such as vehicle routing optimization methods, transportation and mobility innovations, metaheuristic optimization algorithms research, urban and freight transport logistics, quantum computing algorithms and architecture, optimization and packing problems, as well as evacuation and crowd dynamics.
Hoong Chuin Lau has authored numerous papers, including recent publications such as "Deep Reinforcement Learning Approach to Solve Dynamic Vehicle Routing Problem with Stochastic Customers" (2020, Proceedings of the International Conference on Automated Planning and Scheduling), "Solving the winner determination problem for online B2B transportation matching platforms" (2021, Transportation Research Part E Logistics and Transportation Review), "Optimization of customer service and driver dispatch areas for on-demand food delivery" (2024, Transportation Research Part C Emerging Technologies), "A hierarchical optimization approach for dynamic pickup and delivery problem with LIFO constraints" (2023, Transportation Research Part E Logistics and Transportation Review), and "Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning" (2024, Proceedings of the International Conference on Automated Planning and Scheduling).
Their work has been published frequently in notable venues, including arXiv (Cornell University), Proceedings of the International Conference on Automated Planning and Scheduling, Transportation Research Part E Logistics and Transportation Review, Proceedings of the Genetic and Evolutionary Computation Conference Companion, and INFORMS Journal on Computing.
Hoong Chuin Lau maintains collaborative relationships with several frequent co-authors, including Waldy Joe, Siong Thye Goh, Monit Sharma, Sabrish Gopalakrishnan, and Jonathan Chase.
Aldy Gunawan;Hoong Chuin Lau;Pieter Vansteenwegen
Hoong Chuin Lau;Melvyn Sim;Kwong Meng Teo
Hoong Chuin Lau;Zhe Liang
Hoong Chuin Lau
Robert De Souza;Mark Goh;Hoong Chuin Lau;Wee-Siong Ng
Hoong Chuin Lau;Huawei Song;Chuen Teck See;Siew Yen Cheng
Hoong Chuin Lau;Yam Guan Goh
Qianhui Liang;Xindong Wu;Hoong Chuin Lau
Hoong Chuin Lau;Lei Zhang
Earl Barnes;Jim Dai;Shijie Deng;Doug Down
Unknown
Aldy Gunawan;Hoong Chuin Lau
Waldy Joe;Hoong Chuin Lau
H.C. Lau;Z. Liang
Magnús M. Halldórsson;Hoong Chuin Lau
Yuyue Song;Hoong Chuin Lau
Tanvi Verma;Pradeep Varakantham;Sarit Kraus;Hoong Chuin Lau
Duc Thien Nguyen;William Yeoh;Hoong Chuin Lau
Chia Jim Tong;Hoong Chuin Lau;Andrew Lim
Duc Thien Nguyen;Akshat Kumar;Hoong Chuin Lau
Thivya Kandappu;Nikita Jaiman;Randy Tandriansyah;Archan Misra
Hoong Chuin Lau;Huawei Song;Chuen Teck See;Siew Yen Cheng
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