Business Analytics Laboratory (商業分析實驗室)

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

(News) 恭喜可勳 (Ryan)，第一次實驗室論文報告就主動使用英語

(News) 恭喜庭煜 (Angus)，獲國科會補助，將前往義大利米蘭參加 ICIEA-EU 2026 並發表論文

The coming wave

Mustafa Suleyman and Michael Bhaskar, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Crown, September 5, 2023

洪慧芳譯，控制邊緣：未來科技與全球秩序的抉擇，感電出版，2024

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

Latent Space, [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton, 2026/1/1

• Top publications in AI: NeuIPS, ICLR, ...
• First author Kevin Wang: Developed a Bayesian optimization ML model at Cadence Design Systems during his freshman winter vacation. 
• Advisor Benjamin Eysenbach: As of February 14, 2026, he has 7,089 citations after completing his PhD in 2023. His doctoral research was supervised by Ruslan Salakhutdinov and Sergey Levine, over 200k citations for each person.
• Hsiang-Tsung Kung, "Learn from the masters" in the wonderful talk You and AI (slide in English, talk in mandarin)
• Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach, 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities, NeurIPS 2025. (OpenReview is a great way to gain different perspectives on a problem. You can find a newer version on arXiv.)

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)

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.