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Friday, January 26, 2018

Hoda Bidkhori - Analyzing Process Flexibility Using Robust Optimization: UC Berkeley IEOR

Seminar | January 26 | 4 p.m. | 4193 Etcheverry Hall


Hoda Bidkhori, UC Berkeley IEOR

Industrial Engineering & Operations Research


Abstract: Process flexibility has been widely applied in many industries as a competitive strategy to improve responsiveness to demand uncertainty. The first part of the talk addresses the problem of managing process flexibility in a fairly general manufacturing system. In our model, each plant might have a different cost for adding flexibility or extra capacity. We model this problem as an...   More >

Monday, January 29, 2018

Laurent El Ghaoui- Lifted Neural Nets: Beyond The Grip Of Stochastic Gradients In Deep Learning

Seminar: Distinguished Lecture Series | January 29 | 3:30-5 p.m. | 3108 Etcheverry Hall


Laurent El Ghaoui, UC Berkeley IEOR

Industrial Engineering & Operations Research


Abstract: We describe a novel family of models of multi-layer feedforward neural networks, where the activation functions are encoded via penalties in the training problem. The new framework allows for algorithms such as block-coordinate descent methods to be applied, in which each step is composed of simple (no hidden layer) supervised learning problems that are parallelizable across layers, or...   More >

Monday, February 5, 2018

Wenpin Tang - Optimal Surviving Strategy For The Up The River Problem

Seminar: Distinguished Lecture Series | February 5 | 3:30-5 p.m. | 3108 Etcheverry Hall


Wenpin Tang, UCLA

Industrial Engineering & Operations Research


Nowadays there are more and more people living on the planet, but the available resources are very limited. So an interesting question is how to allocate the limited resources to maximize our welfare.

Monday, February 12, 2018

Georgina Hall - LP, SOCP, and optimization-free approaches to sum of squares optimization

Seminar: Distinguished Lecture Series | February 12 | 3:30-5 p.m. | 3108 Etcheverry Hall


Georgina Hall, Princeton University

Industrial Engineering & Operations Research


The problem of optimizing over the cone of nonnegative polynomials is a fundamental problem in computational mathematics, with applications to polynomial optimization, control, machine learning, game theory, and combinatorics, among others.

Wednesday, February 14, 2018

Eric Friedlander - Mean-Field Methods In Large Stochastic Networks

Seminar | February 14 | 3:30-5 p.m. | 540 Cory Hall


Eric Friedlander, University of North Carolina - Chapel Hill

Industrial Engineering & Operations Research


Abstract: Analysis of large-scale communication networks (e.g. ad hoc wireless networks, cloud computing systems, server networks etc.) is of great practical interest. The massive size of such networks frequently makes direct analysis intractable. Asymptotic approximations using hydrodynamic and diffusion scaling limits provide useful methods for approaching such problems. In this talk, we study...   More >

Friday, February 16, 2018

Zeyu Zheng - Top-Down Statistical Modeling

Seminar | February 16 | 2-3:30 p.m. | 3108 Etcheverry Hall


Zeyu Zheng, Stanford University

Industrial Engineering & Operations Research


Abstract: In this talk, we will argue that data-driven service systems engineering should take a statistical perspective that is guided by the decisions and performance measures that are critical from a managerial perspective. We further take the view that the statistical models will often be used as inputs to simulations that will be used to drive either capacity decisions or real-time decisions...   More >

Wednesday, February 21, 2018

Weina Wang- Delay Bounds And Asymptotics In Cloud Computing Systems

Seminar: Distinguished Lecture Series | February 21 | 3:30-5 p.m. | 3110 Etcheverry Hall


Weina Wang, Illinois Urbana-Campaign

Industrial Engineering & Operations Research


With the emergence of big-data technologies, cloud computing systems are growing rapidly in size and becoming more and more complex, making it costly to conduct experiments and simulations. Therefore, modeling computing systems and characterizing their performance analytically are more critical than ever in identifying bottlenecks, informing system design, and facilitating provisioning.

Monday, February 26, 2018

Barna Saha - Efficient Fine-Grained Algorithms

Seminar | February 26 | 3:30-5 p.m. | 3108 Etcheverry Hall


Barna Saha, University of Massachusetts Amherst

Industrial Engineering & Operations Research


Abstract: One of the greatest successes of computational complexity theory is the classification of countless fundamental computational problems into polynomial-time and NP-hard ones, two classes that are often referred to as tractable and intractable, respectively. However, this crude distinction of algorithmic efficiency is clearly insufficient when handling today's large scale of data. We need...   More >

Monday, April 2, 2018

Agostino Capponi - Columbia University

Seminar: Distinguished Lecture Series | April 2 | 3:30-5 p.m. | 3108 Etcheverry Hall


Agostino Capponi, Columbia University

Industrial Engineering & Operations Research


Agostino Capponi joined Columbia University's IEOR Department in August 2014, where he is also a member of the Institute for Data Science and Engineering.

His main research interests are in the area of networks, with a special focus on systemic risk, contagion, and control. In the context of financial networks, the outcome of his research contributes to a better understanding of risk...   More >

Monday, April 30, 2018

Avraham Shtub -Technion

Seminar: Distinguished Lecture Series | April 30 | 3:30-5 p.m. | 3108 Etcheverry Hall


Avraham Shtub, Technion

Industrial Engineering & Operations Research


Professor Avraham Shtub holds the Stephen and Sharon Seiden Chair in Project Management. He was a faculty member of the department of Industrial Engineering at Tel Aviv University from 1984 to 1998 where he also served as a chairman of the department (1993-1996)...   More >