Use LLM (e.g., ChatGPT) to learn *** and its impact

Research

• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568. 

Nice talks on AI, geopolitics, optimization, SCM, and more

Harvard University, Ronny Chieng Address | Harvard Class Day 2026, 2026/5/30 (Ronny Chieng)

(Plz read it first) Business Analytics Laboratory (商業分析實驗室)

(Important) Please read this webpage first if you want to join my lab and schdule an interview.

(News) 恭喜品穎 (Pollie)、振宇 (Jeff)，獲補助，前往日本京都參加 ICIEA 2026 並發表論文 (Please look at the size of the computer screen on the left (or the first) picture. This is the main reason why I keep asking for larger fonts and 8 lines per slide during student presentation.)

(News) A warm welcome to Enzo, Michael, and Paul from Mapúa University, who have joined the lab as undergraduate exchange students.

Nonlinear Optimization (非線性最佳化)

• Course objective: Nonlinear optimization is widely used in engineering, business, data science, and machine learning. We will introduce fundamental algorithms through examples in this course, enabling students to read research articles, formulate their own problems, and solve them efficiently using the appropriate algorithms.

研究 (Research)

Conference papers:

• C.-H. Hsu and T.-Y. Liao,  Enhanced holistic regression for multicollinearity detection and feature selection, Available at SSRN, 2025. (code)
• 廖庭煜、維琪、許志華、饒忻，增強不確定性下的決策：結合 TRIZ 和機器學習方法的穩健優化框架，2025 系統性創新研討會暨專案競賽，論文競賽獎第一名 (code)

Journal articles:

• P.S. Chen, J. Lyu,  C.W. Chen, I.H. Yu, and C.H. Hsu, The social-economic value of a renewable energy power generation and energy storage system: A case study, International Journal of Systems Science: Operations & Logistics, 2026, vol.13, p.1-22.
• H.-A. Bui, C.-H. Hsu, H.-W.V. Young, Y.-Y. Chen, and Y.-A. Liou, Advanced Semi-Supervised Learning for Remote Sensing-Based Land Cover Classification in the Mekong River Delta, Vietnam, Remote Sensing, 2026, 18, 989. https://doi.org/10.3390/rs18070989.

預備研究生 (4 + 1) (包含資料科學相關研究所和職涯準備)

預備研究生規定 (資訊處，新增加同學的問題)

• 培養
• 商業分析實驗室 (Business Analytics Laboratory)：論文。
• 人少，老師 (每週) 單獨討論。學生的光，老師看得見。
• 根據經驗，班排不是一個絕對的指標。重點在於想要 (投入時間) 改變自己。
• 可詢問庭煜，準時畢業且有良好的研究成果。建議從三下開始；庭煜從三下準備校外機器學習競賽、暑假實習和我做研究。

Guides for graduate students and my Laboratory members

Knowledge to master for a better foundation (and future)

Tools and general: 

•  Adi Ignatius, “We Want to Make Ourselves Better”: The HBR Interview with Bob Sternfels, Harvard Business Review, January–February 2026.  (new)

2025 Franz Edelman Award

2025 Edelman Competition (video, special issue in the INFORMS Journal on Applied Analytics)

Ryan Cooper, Lindsay Golich, Craig Griffin, Jono Hailstone, Jim Miller, Gary Sutton (2026) Project 4:05: Optimizing USA Cycling’s Women’s Team Pursuit Gold. INFORMS Journal on Applied Analytics 56(1):5-22. (2025 Franz Edelman Award Winner) (Keywords: Edelman Award team pursuit, operations research aerodynamics, optimization, mixed-integer programming, sports analytics, Olympic cycling)

Some books and information on machine learning and AI

General introduction (without math)

• 簡禎富，工業3.5：台灣企業邁向智慧製造與數位決策的戰略，天下雜誌，2019
• Alex J. Gutman and Jordan Goldmeier, Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Wiley, 2021.

Adaptive Forests For Classification

D. Bertsimas and Y. Cui, Adaptive Forests For Classification, arXiv:2510.22991, 2025. (code)

作業研究和機器學習

課程

• 作業研究 (上): 3.8 迴歸，11.2 迴歸，12.3.1 類神經
• Google Scholar: generative ai optimization
• 作業研究 (下): 2 Robust Optimization (穩健最佳化)，3 適應穩健最佳化，5 資料驅動的報童模型
• Applications in generative AI: diffusion probabilistic models 
• Dmytro Kuzmenko, Denoising diffusion probabilistic models
• Lilian Weng, What are Diffusion Models?
• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568.
• 最佳化和機器學習：

  機器學習和作業研究的奇妙結合

專題和論文的製作與報告 (tips for the final project and your thesis)

• (at the bottom) Avoid common phenomena, final written report (for your ppt content)
• (大學生) 重要任務

• 人生困境：

• 計算機程式補考後的人生 (1/2) 

• 我的方法：運動，音樂 (馬友友)，閱讀 (哲學，堅忍的挑戰，老莊)

• Tal Ben-Shahar, Happier: Learn the Secrets to Daily Joy and Lasting Fulfillment, McGraw Hill, 2007. (譚家瑜譯，更快樂：哈佛最受歡迎的一堂課，天下雜誌，2012)

服務和計畫 (Service and projects)

政府計畫 (Government project)

• 國科會，公平最佳決策樹和其應用 (Fair and Optimal Decision Tree and Its Applications)，主持人 (PI)，114年度 (2025/8 - 2026/7)

產學合作 (Industry-Academia Cooperation)

• 金屬工業研究發展中心 (Metal Industries Research & Development Centre)，最佳化決策於工站排程應用之研究 (Optimal decision-making in work station scheduling) (3)，主持人 (PI)，2024

到高中介紹作業研究 (和適性教育、選填大學志願)

臺北市立陽明高級中學，作業研究，2023/11/30。適性教育、AI 和作業研究，2024/2/22。 (簽到和提問)

學生問題之回答

Some information and papers related to the seminar

(4/9/2025) 許志華 (The original speaker needs to take care of emergency affairs.)

• Dimitris Bertsimas and Michael Lingzhi Li, Scalable holistic linear regression, Operations Research Letters, Volume 48, Issue 3, May 2020, Pages 203-208.
• We could not reproduce their results in the paper, so I asked Prof. Li for his code. He told me he finished the paper as a course project (MIT style?!😂), and the codes were stored on another obsolete hard drive. 
  

Optimization in Fusion Energy

Raphael Rosen, The 10-Second Algorithm That Could Unlock Fusion Energy, Princeton Plasma Physics Laboratory, March 16, 2025.

QUADCOIL is a groundbreaking computer code that simplifies the design of stellarator magnets, ensuring plasma shapes remain practical for real-world construction.

Unlike traditional methods, it rapidly predicts magnet complexity, saving time and effort. By integrating engineering constraints early, QUADCOIL helps streamline the path to cost-effective fusion energy.

Google's quantum chip Willow

 Hartmut Neven, Meet Willow, our state-of-the-art quantum chip, Google Research, Dec 09, 2024.

Robust Optimization Webinar

This is the youtube channel for the Robust Optimization Webinar (ROW) organized by Ahmadreza Marandi (TU Eindhoven) and Jannis Kurtz (University of Amsterdam). (Speaker)

How Could Machines Reach Human-Level Intelligence?

Yann LeCun, How Could Machines Reach Human-Level Intelligence?, Columbia Engineering, 2024/10/24 (slide)

Neural Coordination and Capacity Control for Inventory Management

C Eisenach, U Ghai, D Madeka, K Torkkola, D Foster, S Kakade, Neural Coordination and Capacity Control for Inventory Management, 2024, arXiv preprint arXiv:2410.02817. (SCOT, Amazon)