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

Vivek Farias and Jason Acimovic, Channel Fulfillment Problem Optimization, INFORMS, 2019.

References 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)

研究 (Research)

Journal articles:

• P.-S. Chen, H.-Y. Liu, and C.-H. Hsu, Economic Order Quantity of Deteriorating Drugs with New and Redistributed Demands in a Closed-loop Supply Chain: From the Viewpoint of a Hospital Pharmacy, International Journal of Systems Science: Operations & Logistics, 2026, Vol. 13, No. 1. (SCIE) 
• 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, No. 1. (SCIE)
• 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. (SCIE)

(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.

(26/7/10) Another paper published in IJSS (Closed-loop EOQ)

(26/7/8) 115 學年度教育部校務發展獎補助計畫通過 (Industrial AI Teaching Platform)

(26/7/1) 國科會115 年度計畫通過 (NSTC project awarded)

服務和計畫 (Service and Projects)

政府計畫 (Government Project)

• 國科會，高維度受限迴歸模型與稀疏特徵選取：快速座標下降演算法和應用 (High-Dimensional Constrained Regression Models and Sparse Feature Selection: Fast Coordinate Descent Algorithms and Applications)，主持人 (PI)，115 年度 (2026/8 - 2027/7)
• 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

Use LLM to learn *** and its impact

Research and development

• Marina Favaro and Jack Clark, When AI builds itself, Anthropic (new)
• As of May 2026, more than 80% of the code we merge into Anthropic’s codebase was authored by Claude.
• In the second quarter of 2026, the typical engineer was merging 8× as much code per day as they were in 2024.
• On the most open-ended tasks, Claude’s success rate reached 76% in May 2026, up 50 percentage points in six months.
• In this world, the pace of progress in AI development becomes determined entirely by the availability of compute (or the speed of discovering various efficiencies in algorithmic training or inference) for AI systems. Humans play a substantially diminished role in their development, likely moving most of our effort towards oversight, validation, and verification of an expanding “virtual lab” run by AI systems. We expect that systems capable of automated AI research and development would have skills that would transfer to the rest of science, allowing them to begin to revolutionize other fields.
• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568. 

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.

資料科學相關研究所和職涯準備

基礎知識：工業系必修課程 

• 資料科學：領域知識 (智慧製造，量化投資，行銷等等)，數學，資訊科技 
• 如果不會寫 for loop 和 function：自學 Python (每一講有作業)
• 很棒的免費課程：CS50's Introduction to Programming with Python (Malan at Harvard), Mathematics for Machine Learning and Data Science (at Coursera)
• 發展和待遇：機器學習，AI 工程師，最佳化演算法，optimization，量化交易 (方法)，智慧製造演算法，作業研究 (台達電，薪水，奇點無限 )，資料科學家
• 謝謝庭煜

上：

• 核心：IE623G 機器學習，IC258D 資料結構 (查怡老師)，CS361L 資料庫系統 
• 庭煜跟我念 4 + 1，修資料結構，拿到全班第一名，系上還提供一萬元的獎金。大四也有修資料庫系統，和此文章中許多難的課程，加上努力，所以研究做得好。據我所知，只有他聽進去我的建議。
• 數學：MA305G 離散數學，MA202 高等微積分(一)，MA306G 數值分析
• 資訊科技：IE440G 系統模擬 (包含數學和領域知識)，IE250D 網路原理與應用，IE302G 製造聯網整合技術
• 領域知識
• 作業管理 (含智慧製造)：IE238G 電腦輔助設計與製造等等
• 量化交易：FA319 財務管理(一)，FA295E 金融市場，FA082G 投資學等等
• 行銷：BA245 行銷管理學，BA336 網路行銷，IU209G 消費者行為 (和 IT911D 二選一) 等等

下：

• 核心：IE326G 人工智慧導論，IE371G 實驗設計，EL602L 計算機演算法
• 數學：MA202 高等微積分(二)，MA203 微分方程(一)
• 資訊科技：MA405M 圖論演算法，IE582G 視覺系統
• 領域知識
• 作業管理 (含智慧製造)：IE431G 電腦整合製造，IE527G 物聯網與大數據於智慧製造應用 等等
• 量化交易：FA320 財務管理 (二)，FA011 金融科技，FA323 區塊鏈與加密貨幣，FA447 期貨與選擇權等等
• 行銷：IT911D 消費者行為等等

中原大學 x 台積電半導體智慧製造學程。

預備研究生 (4 + 1) 

• 獎學金和支援
• 節省一年時間。
• 學校：
• 歷年平均成績系排名在前 30% 者，發給獎學金貳萬元整。獎學金於學生就讀碩士班一年級依學期分 2 次發给。
• 全人榮譽獎，全人標竿獎。
• 系上：
• 歷年平均成績系排名在前 20% 者，發給獎學金十萬元整。
• 參與國外國際研討會與競賽之報名費、交通費、住宿費與生活費，至多兩萬元。
• 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 students in Business Analytics Laboratory (實驗室學生指引)：修課。
• Nice quality to have: Enjoy learning and coding (or willing to), think independently, willing to share and help
• 表現優良，老師將提供研究助理費。

資訊

• 同學的問題：我們 (工業系) 從事軟體開發和資工系的差別？
• 我：如果想要從事軟體開發的 (高薪) 工作，量化學科的基礎 (例如機統、作業研究)、流程和系統的思維 (例如生產計劃與管制、品質管制、人因工程)、和商管的知識背景 (例如經濟學、會計)，是工業系的優勢。只要加上軟體系統開發需要的課程，例如資料結構、資料庫、(資管) 系統分析與設計 (開放式課程)、演算法、物件導向分析與設計、作業系統、離散數學等等，就可如虎添翼。工業系畢業學長姐，目前 (2023) 擔任純網銀的董事長和台北市資訊局副局長，就是最好的例證。
• 舉例說明工業系的優勢：線上購物定價的需求函數和最佳化，資訊系統的人機介面 (可以利用機統、實驗設計、機器學習做進階分析)，熱門售票活動中的 (軟體系統) 瓶頸等等。
• 曾子軒，旺宏吳敏求：AI 時代與其學程式，懂應用數學才是業界最想要人才，遠見，2023-11-10
• 一方面感念母校栽培，一方面從個人經驗中認知到統計學，甚至是人工智慧的重要，吳敏求因此效法黑石集團 (Blackstone Group) 創辦人蘇世民 (Stephen Schwarzman) 捐贈麻省理工學院蘇世民運算學院 (MIT Schwarzman College of Computing，簡稱 MIT 運算學院) 的作法，捐贈成大設置敏求智慧運算學院。
• 數學邏輯和程式語言的邏輯是相通的。
• Brian Christian and Tom Griffiths, Algorithms to Live By: The Computer Science of Human Decisions, William Collins, 2017. 甘錫安譯，決斷的演算：預測、分析與好決定的 11 堂邏輯課，行路，2017

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)

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)