Napat Rujeerapaiboon

I am currently an assistant professor at the Department of Industrial Systems Engineering and Management, National University of Singapore. My research revolves around decision making under uncertainty (particularly, robust and distributionally robust optimization), and I am interested in applying such methods in finance, economics, machine learning, energy systems, and supply chain management. At the university, I am offering courses on statistics and optimization.

Email: napat.rujeerapaiboon [at] nus.edu.sg

Research Portfolio

J Tang, Y Xue, X Liu, N Rujeerapaiboon (2026). Cost-sensitive, envy-resistant consensus in group decision making. Journal of the Operational Research Society [Link].
Y Xue, N Rujeerapaiboon (2025). Robustness and Regret Tolerance. SSRN Preprint [Link]

Anecdote: This work stems from the last chapter of Yilin’s PhD thesis. Through her master’s, PhD, and postdoc, she has been loyal, patient, and hardworking—often understanding me without a word.

Y Xue, N Rujeerapaiboon, M Sim (2025). Robust Benchmark Satisficing. SSRN Preprint [Link]
D Zhu, T Xie, Y Liu, N Rujeerapaiboon (2025). Equitable Transportation Network Design for Signal-Free Smart Intersections. Under revision at Transportation Research Part B: Methodological [Link]
R Wang, C Kocyigit, N Rujeerapaiboon (2025). Equitable Auction Design: With and Without Distributions. SSRN Preprint [Link]
M Fu, X Li, N Rujeerapaiboon (2025). Optimal Competitive Ratio in Opaque Sales. Proceedings of ACM Conference on Economics and Computation, 637 [Link]
N Rujeerapaiboon, Y Xue, C Luo (2025). Utility elicitation and maximization from uncertain certainty equivalents. IISE Transactions (Forthcoming) [Link]
N Rujeerapaiboon, S Rujivan, H Chen (2025). Discounted-likelihood valuation of variance and volatility swaps. Financial Innovation 11 (13), 1-34 [Link]

Anecdote: A controversial project that challenges the conventional risk-neutral pricing regime. I will remember this project fondly as a collaboration with Hongdan, one of my best students and colleagues.

L Chen, A Ramachandra, N Rujeerapaiboon (2024). Robust data-driven CARA optimization. SSRN Preprint [Link]
C Kocyigit, D Kuhn, N Rujeerapaiboon (2024). Regret minimization and separation in multi-bidder, multi-item auctions. INFORMS Journal on Computing 36 (6), 1543-1561 [Link]
K Schindler, N Rujeerapaiboon, D Kuhn, W Wiesemann (2024). A planner-trader decomposition for multimarket hydro scheduling. Operations Research 72 (1), 185-202 [Link]

Anecdote: My longest project and my final collaboration with Kilian – thank you for proving Proposition 9! What began as a pro-consulting, pseudo-academic project evolved into a rigorous and (hopefully) impactful paper.

N Rujeerapaiboon, Y Wei, Y Xue (2023). Target-oriented regret minimization for satisficing monopolists. In: Garg, J., Klimm, M., Kong, Y. (eds) Web and Internet Economics. Lecture Notes in Computer Science 14413. Springer. [Link]

Anecdote: I am particularly fond of this work because it involved collaboration with my two junior co-authors at the time. Additionally, it is the project that requires the least amount of my time!

D Zhu, T Xie, Y Liu, B Zou, N Rujeerapaiboon (2023). Optimal deployment of an equitable CAV platoonable corridor on road networks with mixed traffic flow. Transportation Research Part C: Emerging Technologies 157, 104399 [Link]
N Rujeerapaiboon, Y Zhong, D Zhu (2023). Resilience of long chain under disruption. European Journal of Operational Research 309 (2), 597-615 [Link]
Y Xue, Y Li, N Rujeerapaiboon (2023). Distributionally robust inventory management with advance purchase contracts. SSRN Preprint [Link]
C Kocyigit, N Rujeerapaiboon, D Kuhn (2022). Robust multidimensional pricing: separation without regret. Mathematical Programming 196, 841-874 [Link]
N Rujeerapaiboon, K Schindler, D Kuhn, W Wiesemann. Scenario reduction revisited: fundamental limits and guarantees. Mathematical Programming 191, 207-242 [Link]
N Khajonchotpanya, Y Xue, N Rujeerapaiboon (2021). A revised approach for risk-averse multi-armed bandits under CVaR criterion. Operations Research Letters 49 (4), 465-472 [Link]
N Rujeerapaiboon, K Schindler, D Kuhn, W Wiesemann (2019). Size matters: cardinality-constrained clustering and outlier detection via conic optimization. SIAM Journal on Optimization 29(2), 1211-1239 [Link]
N Rujeerapaiboon, BR Barmish, D Kuhn (2018). On risk reduction in Kelly betting using the conservative expected value. Proceedings of 2018 IEEE Conference on Decision and Control, Miami, FL, USA, pp. 5801-5806 [Link]
N Rujeerapaiboon, D Kuhn, W Wiesemann (2018). Chebyshev Inequalities for Products of Random Variables. Mathematics of Operations Research 43 (3), 887-918 [Link]
BG Choi, N Rujeerapaiboon, R Jiang (2016). Multi-Period Portfolio Optimization: Translation of Autocorrelation Risk to Excess Variance. Operations Research Letters, 44 (6), 801-807 [Link]
N Rujeerapaiboon, D Kuhn, W Wiesemann (2016). Robust Growth-Optimal Portfolios. Management Science 62 (7), 2090-2109 [Link]

Teaching Portfolio

I am currently offering two courses at NUS and one course at NUSRI (Suzhou) annually.

IE3101 Statistics for Engineering Applications (undergraudate level)
IE4310 Decision Analysis (undergraduate level)
IE6001 Foundations of Optimization (doctoral level)

In the past, I have also offered the following courses at NUS and EPFL, respectively.

IE5881 Markovian Analytics (master's level)
MGT484 Applied Probability & Stochastic Processes (master's level)

I am the recipient of the Faculty Teaching Excellence Award in 2020 and 2021, College Educator Award in 2022, and College Teaching Excellence Award in 2023 and 2024.

Education

PhD in Risk Analytics and Optimization

École polytechnique fédérale de Lausanne (2012-2016)

Thesis: Dimensionality Reduction in Dynamic Optimization under Uncertainty [Link]

Best PhD Thesis Award from the Swiss Operations Research Society

Partially sponsored by Anandamahidol Foundation under the Royal Patronage of His Majesty the King of Thailand

MPhil in Operations Research

Imperial College London (2012-2014)

Sponsored by Anandamahidol Foundation under the Royal Patronage of His Majesty the King of Thailand

MSc in Computing (Computational Mangement Science)

Imperial College London (2011-2012)

Summa Cum Laude Honors and the MSc Project Prize from Winton Capital Management

Thesis: Option Pricing with Linear Programming [Link]

Sponsored by Anandamahidol Foundation under the Royal Patronage of His Majesty the King of Thailand

BEng in Computer Engineering

Chulalongkorn University (2006-2010)

First Class Honors

Sponsored by National Science and Technology Development Agency, Thailand

Page updated

Google Sites

Report abuse