Michael Gubanov

Cloud Technology Endowed Assistant Professor
News: Congratulations to Sean and other co-authors on their WWW Profiles 2018 paper!
            ACM SIGMOD Research Highlight Award! (expected)
            IEEE ICDE 2017 award paper invited to publication in special issue of ACM SIGMOD Record for the "2017 ACM SIGMOD Research Highlights"
            4 papers accepted to IEEE Big Data 2017, congratulations everyone!
            IEEE ICDE 2017 award paper invited to publication in "Best of ICDE" issue of TKDE 2018
            IEEE ICDE 2017 Best Paper Award!
            You can watch my talk at M.I.T. on Hybrid here and read here
            Congratulations to Manju on her defense!
            Congratulations to Manju and Maxim on their WWW 2017 paper!
            IEEE Sensors 2016 Best Paper Award!
Note: I am offering a course on modern Big data management and analytics in Fall 2017.
Student teams with awards - Team1, Team2, Team3.
University of Texas at San Antonio
Computer Science Department

NPB 3.212
1 UTSA Circle
San Antonio, TX 78249
mikhail.gubanov at utsa.edu
2017
  1. Saving Mothers and Babies using Big Data Analytics
    National Academy of Sciences (NAS), Washington, D.C.
  2. Saving Mothers and Babies using Big Data Analytics
    Capitol Hill, Washington, D.C.
2016
  1. Hybrid: A Large-scale Linear-Relational Database Management System[video]
    Massachussetts Institute of Technology, Cambridge, MA
  2. Hybrid: A Large-scale Linear-Relational Data Store
    Texas FreshAIR Big Data & Data Analytics Conference, San Antonio, TX
2015
  1. Taming Big Data Variety
    Massachussetts Institute of Technology, Cambridge, MA
  2. Taming Big Data Variety
    University of Florida, Gainesville, FL
  3. Taming Big Data Variety
    University of Central Florida, Orlando, FL
  4. Taming Big Data Variety
    Lousiana State University, Baton Rouge, LA
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.
2013-2007
  1. Fusion of text and structured data at scale
    MIT CSAIL, Cambridge, MA, 2013.
  2. Towards gaining control over Big medical data.
    University of California, Irvine, CA, 2012.
  3. Towards gaining control over information overflow.
    University of Central Florida, Orlando, FL, 2012.
  4. Towards gaining control over information overflow.
    University of Kentucky, Lexington, KY, 2012.
  5. Simplifying access to structured and unstructured data.
    Stanford University, Stanford, CA, 2011.
  6. Simplifying Information Integation using UFO
    University of Washington, WA, Seattle, 2010.
  7. ReadFast: Text Database Management System with NLP support
    University of Washington, WA, Seattle, 2009.
  8. Improving Ranking of Product Search Results
    Google, CA, Mountain View, 2008.
  9. IBM UFO Repository
    IBM Almaden Research Center, San Jose, CA, 2007.
Massachusetts Institute of Technology MIT Database Group

© Copyright 2014 Michael Gubanov. All rights reserved.