Michael Gubanov

Cloud Technology Endowed Professor
University of Texas at San Antonio
Computer Science Department

NPB 3.212
1 UTSA Circle
San Antonio, TX 78249
michael.gubanov at utsa.edu

News: I am very honored to be a recipient of NASHP Young Investigator Award!
Note: I am offering a new course on big data management and analytics in Spring 2016

About

I am a Cloud Technology Endowed Professor of Computer Science at University of Texas at San Antonio (UTSA) specializing in large-scale data management and cloud computing. I earned my PhD and MSc in Computer Science from the University of Washington in 2010. I completed my undergraduate education at ITMO University (ACM-ICPC World Champions 2013, 2015).

During my PhD study I spent some time at IBM Almaden Research Center working on Data Management and Integration (project Clio, productized as a part of IBM Infosphere); at Google on Web-search and Large-scale Machine Learning (productized as parts of SETI and Froogle); at Microsoft Research on Natural Language Processing (productized as a part of Bing).

Before starting at UTSA, I was a Postdoc in Large-scale Data Management and Fusion at MIT CSAIL with Mike Stonebraker (2015 A.M. Turing Award winner, NAE member). I also contributed by adding Linear Algebra/Query Optimization to SimSQL - a scalable "Big Data" engine (thanks to esteemed Chris Jermaine).

My Erdos number is 3.

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