Applying learning/mining techniques in computer systems and beyond

Sepaker:        Professor Yuanyuan Zhou
                UC San Diego

Title:          "Applying learning/mining techniques in computer systems
                 and beyond"

Date:           Monday, 22 December 2014

Time:           4:00pm - 5:00pm

Venue:          Lecture Theater H (near lifts 27 & 28), HKUST

Abstract:

As computer systems become ever-so complex to manage and optimize, various
machine learning or data mining techniques have become popular in
analyzing a large amount of system data.  In this talk, I will share my
limited experience and mistakes we have made when applying these
techniques to solve system problems in our research projects and also
commercial products.  Additionally, we will also share some of the
challenges in extracting and analyzing people-related information in our
recent project.


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Biography:

Yuanyuan Zhou is currently a Qualcomm Chair Professor at UC-San Diego.
She is an ACM Fellow and obtained her Ph.D from Princeton. Before UCSD,
she was a tenured associate professor at University of Illinois at Urbana
Champaign. Her research interests span the areas of operating systems,
software engineering, system reliability and maintainability.  She has
co-founded three startups. Her recent startup, PatternInsight, has
successfully deployed software quality assurance tools in many companies
and in 2012  its Log Insight business line was acquired by VmWare and now
Log Insight is a VmWare Product offering to its many data center customers
for data center management.  Recently she has launched her third startup,
Whova, that helps professional networking intelligently offline at events
and meetings. She has the great fortune of working with many talented
students and post-docs, many of whom are currently professors at top
universities such as Univ. of Wisconsin, Madison, and risk-taking startup
founders.