2/27/2026

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)
    • We get a million applications a year, from some of the brightest minds in the world. But with the half-life of skills getting shorter, we have to ask if we’re hiring for the right credentials. To answer that, we’ve been applying analytics to ourselves to determine the skills and characteristics that, over the past 20 years, have been most likely to lead to someone making partner. It turns that out we’ve had some bias in our system.
    • We’ve been too focused on whether one has perfect marks instead of whether one is resilient. An applicant who has experienced a setback and recovered has a higher probability of making partner. So we’ve changed the process to look for resilience. We also weren’t indexing enough on how one works with others. We’re prioritizing that a lot more. And we’re looking at whether applicants have the aptitude to learn new stuff versus whether they have mastered the subjects they chose to study. My son used this against me when he was changing his major for the third time. He saw my frustration and said, “But Dad, you published a paper that said one has to have the aptitude to learn new stuff.”
    • We’re still exploring this, but one thing AI models don’t do well is aspire; they’re not good at setting the right level of aspiration. Great leaders set an aspiration and then get people to stretch. So we’re focusing on how to promote that skill.
    • A second thing is judgment. There isn’t truth in AI models; there isn’t judgment. Humans need to impose those parameters. So how do you build up that capability?
    • And lastly, how do you get to truly novel thinking? AI models are great at a linear approach to problem-solving but not at making discontinuous leaps. We’re starting to figure out which backgrounds tend to produce the most-creative solutions, beyond just the next logical step. We’re looking more at liberal arts majors, whom we had deprioritized, as potential sources of creativity.
  • 李建平，學問要如金字塔，學生寫論文的毛病 
  • Martin A. Schwartz, The importance of stupidity in scientific research, Journal of Cell Science, (2008) 121 (11): 1771. 
    • It's a lot harder than taking even very demanding courses. What makes it difficult is that research is immersion in the unknown.
  • Sarah Wells, My PI is not offering any support or guidance on my PhD project, what should I do?, Nature, 16 January 2026
  • 高強，由「努力工作能生幸運」談研究發表，管理學報，2024年，41卷，2期，155-166 (單單 EJOR 就已經發表了 38 篇，包含擔任國立成功大學校長（2001~2007） 時的單一作者)  
  • Antonio Torralba, Phillip Isola, and William Freeman, Foundations of Computer Vision, The MIT Press, 2024. (On Research, Writing and Speaking) 
  • Takeo Kanade, Think Like an Amateur, Do As an Expert 
  • AI in education: Geoffrey Hinton’s and Yann LeCun’s vision of the future, The Buzz Business, 2023. 
    • The role of AI in education extends to fostering creativity and critical thinking.
    • Another significant impact of AI in education is its potential to democratize access to quality learning.
  • 李琳山，碩博士生應該要知道的事情  (YouTube) 
  • Geoffrey Hinton, the "Godfather of AI," predicts AI tutors will soon surpass human teachers, potentially rendering undergraduate computer science education obsolete. He suggests these AI systems, leveraging vast student data, will offer hyper-personalized lessons. While universities may face challenges, Hinton emphasizes their continued importance in fostering research and critical thinking skills, signaling a radical shift in education. (Economic Times, 2025)
  • David A. Patterson, Your Students Are Your Legacy, Communications of the ACM, March 1, 2009, Vol. 52, No. 3, Pages: 30-33. (Non-Technical Talks)
    • Helpful guidance for students:
      • Show initiative, for fortune favors the bold. Don’t wait for professors to tell you what to do; if we were good managers, we probably wouldn’t be faculty. Explore, challenge assumptions, and don’t let lots of prior art discourage you.
      • Sink or swim. We’ll offer you what we think are great projects with plenty of potential, and we’ll support you the best we can, but it’s what you do with the opportunity that makes or breaks your graduate student career.
      • Educate your professor. We’re in a fast-moving field, so for us to give you good advice we need to know what you’re working on. Teach us!
    • I searched and read papers related to my research and presented them to my master's thesis advisor during our regular meetings even though he did not request me to do it. 
  • Jonathan Wu, AI論文工具 | 如何一天看3~5篇論文？寫論文軟體推薦 | 論文工具 | AI 工具 EP4
  • Tools: Aim Writing, Connected Paper, Consensus, DeepL Translate, Harvard Writing Project, SciSpace, Stanford STORM, Smallpdf, Statista, Thesaurus.com

My lab:

Find nice resources with Python codes and review by using Google search: 
Python for everyone:
Software engineering:

For master students:
International students: 
  • Fall: IE412R Artificial Intelligence, IE623R Machine Learning, IE794R Supply Chain Management
  • Spring: CS456R Nature Language Processing
For Ph.D. students: 
Conferences:
  • APIEMS: Submission Deadline of Abstract June 16th,  Conference Date : Oct 22nd – 26th (varied)
  • 中國工業工程學會，年會暨學術研討會，徵稿日期 07.01- 09.19
  • 台灣作業研究學會年會暨學術研討會，截稿日期：10.15
Competitions:
  • Under 
    • 中原大學工業與系統工程學系，專題實作競賽，報名時間：3.14 - 4.08
    • 中國工程師學會學生分會，大專學生工程論文競賽：4 月 28 日
    • 中國工業工程學會，「工業工程與管理」大學生專題論文競賽：112 年 4 月 28 日 
    • 台灣作業研究學會，大專校院專題競賽，網路報名日期：5月01日至5月31日
    • 大專校院資訊應用服務創新競賽，報名日期：9月26日~ 10月6日
    • 中原大學電機資訊學院，原力覺醒-專題暨 AI 創意構想競賽，分為「專題製作組」及「創意構想組，截止 12/21
  • Graduate 
    • 中國工業工程學會，「工業工程與管理」 碩士論文競賽： 6 月 4 日
    • 富邦人壽管理博碩士論文獎，5/13 - 7/16
    • 台灣作業研究學會，碩博士論文競賽，截稿日期 9 月 16 日前
Interesting readings (You could follow your favorite authors under their Google Scholar Profiles to know their newest research articles.) 
at
Labels: , , , , , , , , , ,

沒有留言:

張貼留言

訂閱： 張貼留言 (Atom)