Michael Gubanov

Postdoctoral Associate
Computer Science and Artifical Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology (MIT)

The Stata Center
32 Vassar St., 32-G904B
Cambridge, MA 02139

Note: We are the finalists of Nokia 2.25M Global X-Prize competition!

About

I am a Postdoc at MIT CSAIL working on Large-scale Data Management, Web-search, and Data Integration with MichaelStonebraker. Before MIT, I earned my PhD in Computer Science from the University of Washington, working with IBM Almaden Research Center. During my PhD program I also spent some time at Google doing research on large-scale machine learning and Web-search that has been successfully deployed on production clusters at Google. I completed my undergraduate education at St. Petersburg National Research University ITMO (ACM-ICPC World Champions 2013).

Selected Publications

  1. Large-scale Semantic Profile Extraction  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker EDBT 2014, Athens, Greece
  2. Text and Structured Data Fusion in DataTamer at Scale  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker, Daniel Bruckner IEEE ICDE 2014, Chicago, Illinois
  3. ReadFast: High-relevance Search-engine for Big Text [bib] [pdf]
    Michael Gubanov, Anna Pyayt. ACM CIKM 2013, San Francisco, California
  4. Using Unified Famous Objects (UFO) to Automate Alzheimer's Disease Diagnostics. [bib] [pdf]
    Michael Gubanov, Linda Shapiro. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2010, Atlanta, Georgia
  5. IBM UFO Repository: Object-oriented Data Integration [bib] [pdf] [book]
    Michael Gubanov, Lucian Popa, Howard Ho, Hamid Pirahesh, Jeng-Yih Chang, Shr-Chang Chen. VLDB 2009, Lyon, France

Recent Invited Talks

2014
  1. Structural Web-search with High-dimensional Type-aware Locality-sensitive Hashing,
    Adobe Research, San Jose, CA, 2014.
  2. Structural Web-search with High-dimensional Type-aware Locality-sensitive Hashing,
    Hitachi Research, San Jose, CA, 2014.
  3. Type-aware search using Locality-sensitive Hashing
    Oracle Labs, Belmont, CA, 2014.
  4. Type-aware search using Locality-sensitive Hashing
    Samsung Research, San Jose, CA, 2014.
  5. Large-scale sublinear logistic regression
    Intel Research, Santa Clara, CA, 2014.
  6. Taming Big Data Variety
    State University of New York at Stony Brook, Stony Brook, NY, 2014.
  7. Taming Big Data Variety
    Florida Atlantic University, Boca Raton, FL, 2014.

Links

Massachusetts Institute of Technology MIT Database Group

© Copyright 2014 Michael Gubanov. All rights reserved.