뉴스 및 공지사항
- 관리자
- 2026.04.15
- 78
[세미나] [ISE/GSDS Colloquium] Apr 27 16:00 / E2-2 1501 / From real world problems to esoteric research: examples and personal experience / Prof. Jeff Wu/ Chinese University of Hong Kong (Shenzhen)
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산업및시스템공학과/데이터사이언스대학원에서 통계학/데이터과학 분야의 세계적인 석학인 C. F. Jeff Wu교수님을 모시고 세미나를 진행하오니, 관련 분야 연구자 분들의 많은 관심과 참석 부탁드립니다.
The Department of Industrial and Systems Engineering/Graduate School of Data Science is pleased to host a seminar by Professor C. F. Jeff Wu, a world-renowned scholar in statistics and data science. We warmly invite researchers in related fields to attend and participate in the seminar.
# Date/Time: Monday, Apr 27, 2026, 16:00–17:00
# Venue: E2-2 1501
# Speaker: Jeff Wu, Chinese University of Hong Kong (Shenzhen)
# Title: From real world problems to esoteric research: examples and personal experience
- Zoom Link :
Meeting ID: 814 6048 5391
Abstract:
Young (and some not-so-young) researchers often wonder how to extract good research ideas and develop useful methodologies from solving real world problems. The path is rarely straightforward and its success depends on the circumstances, tenacity and luck. I will use three examples to illustrate how I trod the path. The first involved an attempt to find optimal growth conditions for nano structures. It led to the development of a new method, but after a few years of frustrated efforts and relentless pursuit, we realized that the method is more suitable for generating samples adaptively to mimic an arbitrary distribution rather than for optimization. The main objective of the second example was to build an efficient statistical emulator based on finite element simulation results with two mesh densities in cast foundry operations. It eventually led to the development of a class of nonstationary Gaussian process models that can be used to connect simulation data of different precisions and speeds. The third example is about a novel use of Treed Gaussian Process to model and classify a jet-swirl dichotomy observed in a jet ignition experiment that exhibits a dichotomous behavior. In each example, the developed methodology has broader applications beyond the original problem. I will explain the thought process in each example. Finally, I will share some secrets about a “path to innovation”.
Bio:
Jeff Wu is the X.Q. Presidential Chair Professor in the School of Data Science at the Chinese University of Hong Kong, Shenzhen, and a former professor in the Department of Industrial and Systems Engineering at Georgia Tech. He is an elected member of the National Academy of Engineering and an Academician of Academia Sinica. He is also a Fellow of the American Society for Quality, the Institute of Mathematical Statistics, INFORMS, and the American Statistical Association. He received the COPSS Presidents’ Award, the COPSS Fisher Lecture Award, and delivered the Deming Lecture. He has published about 200 papers. He co-authored the book "Experiments: Planning, Analysis, and Optimization." He coined the term “data science” in 1985 (during a lecture at Chinese Academy of Sciences, Beijing).