News & Events

Graduate seminar series

The graduate seminar series occurs autumn, winter, and spring quarter. The seminars feature lectures on current research within the field of industrial and systems engineering. MSIE and Ph.D. students are required to register for the entire seminar series (3 credits total).

IND E 593 schedule

Quarter:
Spring 2019
Time:
Tuesdays, 1:30pm – 2:20pm
Location:
MEB 245 (unless specified)
Date Speaker
April 2

Mustafa Y. Sir, Ph.D.
Assistant Professor, Health Care Systems Engineering, Mayo Clinic College of Medicine

Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic

April 9

Amitabh Sinha, Ph.D.
Principal Scientist, Modeling and Optimization, Amazon, Seattle

Network Design and Optimization in Amazon's Supply Chain

April 16

Hasan Manzour
Ph.D. Candidate, Industrial and Systems Engineering, University of Washington

Integer Programming for Learning Directed Acyclic Graphs from Continuous Data

April 23

Mark Haselkorn, Ph.D.
Professor, Human Centered Design and Engineering, University of Washington

A Virtual Coordination Center for Integrated Management of the Seattle I-5 Corridor

April 30

Osman Ozaltin, Ph.D.
Assistant Professor, North Carolina State University

The Value of Missing Information in Severity of Illness Score Development

May 7

Yin Tat Lee,Ph.D.
Assistant Professor,Computer Science and Engineering, University of Washington

Linear Programs in n^2.38 time via Sketching

May 14

Jon Froehlich
Associate Professor, Computer Science and Engineering, University of Washington

Project Sidewalk: Mapping the Accessibility of the World through Google Street View

May 21

Seksan Kiasupaibul
Associate Professor, Chulaongkorn University, Bangkok

Martingale Search Algorithm for Stochastic Optimization with Applications in Machine Learning

May 28

Maggie Ramirez,Ph.D.
Assistant Professor, Public Health, University of Washington

Health Information Technology to Enable Chronic Illness Care

June 4

Tim Althoff, Ph.D. 
Assistant Professor, Computer Science and Engineering, University of Washington

Data Science for Human Well-being