Thank you, Jorge, for sharing your articles and perspectives on teaching statistics to engineers. I agree that not all engineering graduate programs emphasize statistics to the extent needed, even though real-world engineering problems inherently involve uncertainty. Increasing awareness of the foundational role of statistics in engineering is essential, and workshops like this aim to help strengthen that connection.
Original Message:
Sent: 11-09-2025 12:13
From: Jorge Romeu
Subject: Workshop on Collaborative Research at the Intersection of Statistics and Engineering
A good first step would be to convince engineering departments to teach more graduate statistics, which would provide a necessary basis. I have taught statistics in engineering, for years. Usually, graduate students get two semesters: one with probability, followed by another of stats (distributions, some hypothesis testing, and some modeling in regression and ANOVA; industrial engineering and O.R. may include a third one with DOE and stochastic processes). Many departments don't even give the two semesters, because of "lack of space" in their curriculum. As a result, their students are weak in stats and do not perceive a great need for using statistics in their work. I have done some research on this issue. See, for example:
- How Engineers Learn Stats on their Own, After Leaving College Icots-6
- Analysis of a Survey on How Engineers Learn Stats After Leaving College
- Enhancing the Statistics Education of Practicing Engineers FTC-2007
Keep safe/jorge.
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Jorge L. Romeu
Emeritus SUNY Faculty
Adjunct Professor, Syracuse U.
https://web.cortland.edu/romeu/
https://www.researchgate.net/profile/Jorge_Romeu
Original Message:
Sent: 11-06-2025 17:54
From: Ardavan Yazdanbakhsh
Subject: Workshop on Collaborative Research at the Intersection of Statistics and Engineering
< Date Change for CRSE Workshop >
Because of hotel availability and pricing constraints associated with the FIFA World Cup in Philadelphia during June 2026, the Collaborative Research at the Intersection of Statistics and Engineering (CRSE) Workshop has been rescheduled to August 11–13, 2026. Please submit your application by December 31, 2025. For more information, visit the workshop website: https://sites.google.com/view/nsfcrse/home.
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Ardavan Yazdanbakhsh
Associate Professor
City College of New York
Original Message:
Sent: 09-15-2025 16:11
From: Giles Hooker
Subject: Workshop on Collaborative Research at the Intersection of Statistics and Engineering
Applications are invited from PhD students wishing to participate in the Workshop on Collaborative Research at the Intersection of Statistics and Engineering: High Dimensional Data Analysis. See:
https://sites.google.com/view/nsfcrse/home
The Collaborative Research at the Intersection of Statistics and Engineering (CRSE) Program is a collaboration between the University of Pennsylvania, Texas A&M and the City College of New York. It aims to provide supplementary mentorship to engineering Ph.D. students whose research involves the analysis of high-dimensional data, as well as to statistics Ph.D. students developing statistical methods applicable to engineering. The CRSE Workshop will include two main components: Lectures on state-of-the-art methods in high-dimensional data analysis by distinguished experts, and Research Sessions in which Ph.D. students will present their projects, followed by discussions and feedback from participating experts and peers. In addition, a Program Director from the National Science Foundation (NSF) will share insights on funding opportunities and resources available to Ph.D. students and academic researchers.
Applications are due December 1; details of the short application process are given at:
https://sites.google.com/view/nsfcrse/application
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Giles Hooker
University of Pennsylvania
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