Faculty Research Topics

Date and time: 
Thursday, October 13, 2016 - 15:30
Location: 
220 Deschutes
Author(s):
Hank Childs, Daniel Lowd, Lei Jiao
University of Oregon

Abstract

This week we continue our introduction to faculty research topics. We encourage all faculty members and PhD students to attend and hope these presentations help students meet faculty members and get exposed to the full range of the research portfolio in our department. We feature the following three speakers this week:

Presentation #1: "Research Overview for CDUX: Computing and Data Understanding at eXtreme Scale" by Associate Professor Hank Childs

The CDUX research group tackles a variety of problems in the areas of visualization, analysis, and high-performance computing. In this talk, I will describe some background that motivates our work and research directions that we are pursuing to solve them.

Presentation #2: "Ongoing Research in Statistical Machine Learning" by Assistant Professor Daniel Lowd

Probabilistic graphical models have had a big impact on many areas of artificial intelligence, including natural language processing, computer vision, robotics, bioinformatics, and more. However, these models can also be brittle, computationally intractable, and difficult to work with. I will present our ongoing work to address these problems by learning probabilistic models where reasoning is robust and efficient.

Presentation #3: "Optimization and Control in Cloud Resource Allocation" by Assistant Professor Lei Jiao

In this talk, I will introduce our recent research efforts on online, dynamic cloud resource allocation. I will identify the problem, highlight the challenges, and briefly describe how to address them from an optimization and control-theoretic perspective.

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