Subject to: Simge Küçükyavuz

Описание: Simge Küçükyavuz is Chair and David A. and Karen Richards Sachs Professor in the Industrial Engineering and Management Sciences Department at Northwestern University. She is an expert in mixed-integer, large-scale, and stochastic optimization, with applications in complex computational problems across numerous domains, including social networks, computing and energy infrastructure, statistical learning, and logistics. Her research has been supported by multiple grants from the National Science Foundation (NSF) and the Office of Naval Research (ONR). She is an INFORMS Fellow, and the recipient of the NSF CAREER Award and the INFORMS Computing Society (ICS) Prize. She is the past chair of ICS and serves on the editorial boards of Mathematics of Operations Research, Mathematical Programming, Operations Research, SIAM Journal on Optimization, and MOS-SIAM Optimization Book Series. She received her Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley.

Contents of this video:
0:00 - Intro
1:15 - Simge
1:36 - Family background
4:42 - Tennis player
5:30 - Grunge music
7:14 - Interest in independent movies
8:21 - Eclectic reader
9:20 - Motivation to study Industrial Engineering
10:28 - Learning about OR
12:20 - Capstone project
13:07 - Visiting the US for the first time
13:49 - Applying to graduate schools in the US
15:56 - Moving to the US for higher studies at UC Berkeley
17:54 - Meeting s.t. guests Candi Yano and Karen Smilowitz at UC Berkeley
19:17 - Path to integer programming
20:01 - Coding skills
22:41 - Earning the Master's degree
22:59 - PhD research
24:06 - Finding valid inequalities
26:47 - First presentation at an INFORMS conference
28:03 - Encouraging young people at conferences
29:10 - Internship at HP labs
30:50 - Earning the PhD degree
31:09 - Richard Karp and Simge’s PhD Examination Committee
32:24 - Moving to Tucson after being recruited by the University of Arizona
33:33 - Yves Pochet's story at ISMP in Rio in 2016
36:04 - The power of networking at conferences
36:52 - Moving to Columbus to work at Ohio State University
37:25 - Turning attention to optimization problems under uncertainty
39:20 - Chance-constrained optimization
42:07 - Balancing between capturing uncertainty effectively and maintaining computational feasibility
43:52 - Appreciation of computational work in stochastic optimization
45:02 - The value of open source code sharing
48:19 - Moving to Seattle to work at the University of Washington
48:57 - Working on statistical learning and mixed-integer convex optimization problems
50:28 - Moving to Illinois to join Northwestern University
51:26 - Developing the theory behind mixed-integer convex optimization problems
54:38 - On being department chair
56:17 - Editorial activity
58:52 - Are researchers overly obsessed with academic metrics?
1:02:15 - Gender issues
1:04:17 - Plans for the future
1:05:09 - Final message
1:05:49 - Concluding remarks