Colloquium: Towards Gaining Control Over Big Data

Thursday, Feburary 16, 2012
3:30 p.m. Hardymon Theater Davis Marksbury Building
Refreshments Served 3:00 p.m., Marksbury Atrium

Dr. Michael Gubanov, Stanford University

Towards Gaining Control Over Big Data

Abstract:
Continuous technological advances cause exponential growth of digitized information.

Web, sensor data-streams, Electronic Health Records, and other major sources of valuable information produce more data every year and are in constant need of new technologies to regain control over information overflow.

By nature the produced data is heterogeneous and large-scale, therefore interdisciplinary approaches involving Information Retrieval,   Data management, Machine Learning, Natural Language Processing, and Clinical Informatics become necessary.

In this talk, I will provide an overview of the field and focus on some of our recent results, including an Object-Oriented Self-Learning Data Management Paradigm,a new structural information retrieval engine for clinical text, and a new clinical cyber-physical system designed in collaboration with Stanford School of Medicine, Google, and IBM Research. As time permits, I will also briefly mention possible research directions.

Bio:

After earning his Ph.D. in Computer Science & Engineering in the Paul G. Allen Center at the University of Washington (UW), Dr. Gubanov has been visiting Stanford University to participate in the interdisciplinary Biomedical research initiative spanning several departments.

While at the UW he was a research intern at Google and IBM Almaden Research Center, His Ph.D. thesis research was highlighted in a book on major advances in Data Management and Information Retrieval published by Springer in 2011 and generated eight refereed research publications in top avenues, and an invited book chapter. Finally, he was an invited speaker at many research universities and laboratories including Stanford University, Google, and IBM Research; twice a recipient of George Soros national award for research excellence, and a full Clarendon Fund Fellowship for three years.