April 2021
4/05: Jing Dong – Prediction-driven surge planning with application in the emergency department
Abstract: Optimizing emergency department (ED) nurse staffing decisions to balance the quality of service and staffing cost can be extremely challenging, especially when there is a high level of uncertainty in patient-demand. Increasing data availability and continuing advancements in predictive analytics provide an opportunity to mitigate demand-rate uncertainty by utilizing demand forecasts. In this work, we study a two-stage prediction framework that is synchronized with the base (made months in advance) and surge (made nearly real-time) staffing decisions in the…
Find out more »4/19: Amy Cohn – From Theory to Practice: Challenges and Solutions for Solving Real-World Multi-Criteria “Optimization” Problems in Healthcare Personnel Scheduling
Abstract: Healthcare personnel scheduling problems look on the surface to be clear candidates for combinatorial optimization techniques such as integer programming. A key challenge, however, is the lack of a single, well-defined objective function. Instead, there are many competing metrics of importance including service coverage and patient care, provider well-being and satisfaction, and (in the case of medical trainees) educational considerations. In this talk, I will consider a number of personnel scheduling problems from the University of Michigan health system,…
Find out more »4/21: Industrial Engineering and Operations Research Student Panel
What is it like to be an IEOR student? Join our student panel for admitted undergraduate students to get your questions answered and learn about the student perspective on IEOR classes, navigating student life, clubs, and more. Zoom meeting information
Find out more »4/22: Industrial Engineering and Operations Research Student Panel
What is it like to be an IEOR student? Join our student panel for admitted undergraduate students to get your questions answered and learn about the student perspective on IEOR classes, navigating student life, clubs, and more. Zoom meeting information
Find out more »4/26: Pascal Van Hentenryck – End-to-End Learning and Optimization for Engineering Applications
Abstract: This talk studies how to tightly integrate machine learning and optimization for solving complex engineering problems. It considers case studies in ride-hailing systems, public transit, and power systems, and demonstrates the benefits of this integration on large-scale optimization problems. In particular, the talk describes how machine learning can deliver optimization proxies that can be integrated in an end-to-end optimization pipeline, and how to optimize over machine models capturing human preferences. The talk concludes with a discussion of the many…
Find out more »4/28: IEOR Information Session for Newly Admitted Students
4/28: 4:00 PM - 4:50 PM Find out what it takes to be an Industrial Engineering and Operations Research major! Prof. Robert Leachman, Head Undergraduate Adviser, will answer your questions. Learn how students use information technology and mathematical modeling to solve problems Register here.
Find out more »4/29: Industrial Engineering and Operations Research Student Panel
4/29: 4:00 pm - 4:50 pm What is it like to be an Industrial Engineering and Operations Research student? Hear from current IEOR students about their experience in the program, and ask questions to get an inside look from the student perspective. Register here.
Find out more »June 2021
6/21: Seth Bonder Summer Camp (Engineering Camp for 6th-12th grade)
The UC Berkeley IEOR department is collaborating with Kids Teach Tech, the Georgia Institute of Technology and Urban League Bay Area to offer Seth Bonder Summer Camp in Computational and Data Science. The camp is for rising 6th -- 12th graders. img.attachment-full.size-full.wp-post-image { display: none;} This is an Engineering Camp using Snap Programming, and no experience is required. Students must be rising 6th through 12th graders. Priority will be given to underrepresented students (African American, LatinX, Indigenous, Girls, and Low-income).…
Find out more »July 2021
7/26: Increasing Diversity in Innovation Virtual Conference
Findings by the US Patent and Trademark Office (USPTO) and leading researchers show that women, people of color, and veterans are significantly underrepresented as US patent inventors. All of the data indicates that the US has missed out on millions of inventors, impacting national innovation and economic growth. On July 26-29, the US Intellectual Property Alliance and UC Berkeley Fung Institute will host a virtual conference bringing together the USPTO, corporate legal teams, innovators, industry associations and key stakeholders across the country to focus on increasing…
Find out more »September 2021
09/20: David Simchi-Levi – Statistical Learning in Operations Management (virtual)
Abstract: Traditionally, statistical learning is focused on either (i) online learning where data is generated online according to some unknown model; or (ii) offline learning where the entire data is available at the beginning of the process. In this talk we show that combining both approaches can accelerate learning. Specifically, we show that difficult online learning problems can be reduced to well-understood offline regression problems. We demonstrate the impact of our work in the context of product recommendation, multiclass classification…
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