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Notice to headhunters: If you consider contacting me to discuss consulting or another job opportunity, you should first glance over the information below and think how it would align with my research interests and accomplishements.
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About
After earning my Ph.D. in Computer Science from the University of Washington in collaboration with Stanford University and IBM Almaden Research Center
I am visiting Stanford University. I also spent some time doing research on Big data and Big learning at Google and Data integration, Bioinformatics at IBM Almaden. Most of my current work is in Big learning, and Biomedical informatics.
Before coming to Seattle I earned my B.Sc. from St. Petersburg University of IT, Mechanics, and Optics (ACM World champions).
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Books
ReadFast: Structural Information Retrieval from Biomedical Big Text by Natural Language Processing
Michael Gubanov, Linda Shapiro, Anna Payt
Invited book chapter in "Information Reuse And Integration In Academia And Industry", Springer Verlag, 2012
Object-oriented Data Management for Structured and Unstructured Data
Michael Gubanov
Book published by Proquest publishing, 2010
Simplifying Information Integration: Object-based flow-of-mappings framework for integration. [bib] [pdf][book]
Bogdan Alexe, Michael Gubanov, Mauricio A. Hernandez, Howard Ho, Jen-Wei Huang, Yannis Katsis, Lucian Popa, Barna Saha, Ioana Stanoi
Invited book chapter in "Business Intelligence for the Real Time Enterprise", Springer Verlag, 2009
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Selected publications (full list)
Using Unified Famous Objects (UFO) to Automate Alzheimer's Disease Diagnostics. [bib] [pdf]
Michael Gubanov, Linda Shapiro
Proceedings of the IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Atlanta, Georgia, 2011
ReadFast: Browsing large documents through Unified Famous Objects (UFO). [bib] [pdf]
Michael Gubanov, Linda Shapiro, Anna Payt
Proceedings of the 12th IEEE International Conference on Information Reuse and Integration (IRI), Las Vegas, Nevada, 2011, acc. rate 29%
Learning Unified Famous Objects (UFO) to Bootstrap Information Integration. [bib] [pdf] [book]
Michael Gubanov, Linda Shapiro, Anna Payt.
Proceedings of the 12th IEEE International Conference on Information Reuse and Integration (IRI), Las Vegas, Nevada, 2011, acc. rate 29%
IBM UFO Repository: Object-oriented data integration [bib] [pdf] [book]
Michael Gubanov, Lucian Popa, Howard Ho, Hamid Pirahesh, Jeng-Yih Chang, Shr-Chang Chen.
Proceedings of the 35th International Conference on Very Large Data Bases (VLDB), Lyon, France 2009, acc. rate 27%
Metadata Management Engine for Data Integration with Reverse-Engineering Support [bib][pdf]
Michael Gubanov, Phil Berstein, Alex Moshchuk
Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE), Cancun, Mexico 2008, acc. rate 29%
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Selected research projects
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ReadFast - a new structural Information Retrieval (IR) engine for large text corpuses. Can be used to retrieve and browse patient history (EHR) and relevant literature
to speed up clinical decision making and improve patient safety. Was recently invited for publication as a book chapter by Springer.
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Unified Famous Objects (UFO)
- a new self-learning information extraction and fusion technology.
Can be used to automatically find and fuse needed data from many sources to assist with Alzheimer's Disease diagnosis.
Was recently highlighted in the book on data management
published by Springer.
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RankHive
During my internship at Google I was doing research on Web scale distributed machine learning.
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Talks
Simplifying access to structured and unstructured data.
Stanford University, Stanford, CA, 2011.
Object-oriented management of structured and unstructured data.
University of Washington, Seattle, WA, 2010.
Simplifying information integration using Unified Famous Objects (UFO).
University of Washington, Seattle, WA, 2010.
IBM UFO Repository.
IBM Almaden Research Center, San Jose, CA, 2007.
Improving local search ranking with NLP.
Mcrosoft, Seattle, WA, 2006.
Feature engineering architecture for Web-search ranking.
Mcrosoft, Seattle, WA, 2006.
Improving ranking of product search results.
Google, Mountain View, CA, 2005.
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Selected awards
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Clarendon Fund Full Felowship for 3 years, Oxford University, UK
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George Soros national award for research excellence twice in a row
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Winner of Russian national physics contest
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Links
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