Michael Gubanov

Assistant Professor
News: Launched COVIDKG.ORG
              Our New Data Science courses approved by FSU and SCNS!
              Elected to Sigma Xi, 2021
              CACM 2020 Research Highlight for our ICDE award paper!
              Communications of the ACM (CACM) 2020 published our "Scalable Linear Algebra" paper!
              PG 2020 Award! Thank you to FSU!
              Congratulations to the award-winning teams from my FSU Data Science course this year! Team1, Team2, Team3

              FYAP 2019 Award! Thank you to FSU!

              ACM SIGMOD Research Highlight Award, 2018!
              ICDE 2017 award paper invited to a special issue of ACM SIGMOD Record
              ICDE 2017 award paper invited to publication in "Best of ICDE" issue of TKDE 2018
              ICDE 2017 Best Paper Award!

            Watch my talk at MIT on our Hybrid Linear Relational Engine
Florida State University
Computer Science Department

1017 Academic Way
Tallahassee, FL 32304
gubanov at cs.fsu.edu
Follow me on ResearchGate

About
I am an Assistant Professor at Florida State University and a founder of BigLab!, where we do research in Data Science, Large-scale Data Management and Machine/Deep Learning, Web-search, and Mobile Computing. One of our most recent projects is COVIDKG.ORG - an interactive, large-scale Knowledge Graph, populated with up to date, trustworthy knowledge about COVID-19.

Before FSU, I spent 2 wonderful years at University of Texas as a Cloud Technology Endowed Assistant Professor. I earned my Ph.D. and M.Sc. in Computer Science from the University of Washington working with Lucian Popa and Linda Shapiro. I did my Postdoc at Massachusetts Institute of Technology (MIT) with Michael Stonebraker. I completed my undergraduate education at St. Petersburg ITMO University (ACM-ICPC World Champions 7 times). Before that I graduated from Presidential Physics/Mathematics Lyceum #239.

I also spent some time working in industry to apply my research - At IBM Almaden Research Center on Data 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!). My Erdös number is 3.

Selected Publications
  1. WebLens: Towards Interactive Large-scale Structured Data Profiling
    Rituparna Khan, Michael Gubanov, in ACM CIKM 2020, online [pdf]
  2. Hybrid.Poly: A Consolidated Interactive Analytical Polystore System
    Maksim Podkorytov, Michael Gubanov, in ICDE 2019, Macao, China SAR [pdf]
  3. CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data  [pdf]
    Michael Gubanov, Manju Priya, Maxim Podkorytov, in WWW 2017, Perth, Australia
  4. Generating UFOs from the Classified Object Tables  [pdf]
    Anusha Kola, Harshal More, Sean Soderman, Michael Gubanov, in IEEE Bigdata 2017, Boston, MA
  5. Hybrid: A Large-scale Linear-Relational Database Management System  [bib] [pdf][video]
    Michael Gubanov, Christopher Jermaine, Zekai Gao, Shangyu Luo, MIT Annual Database Research Conference 2016, Cambridge, MA
  6. Type-aware Web search  [bib] [pdf]
    Michael Gubanov, Anna Pyayt , in EDBT 2016, Bordeaux, France
  7. DataXFormer: Leveraging the Web for Semantic Transformations  [bib] [pdf]
    Zia Abedjan, John Morcos, Michael Gubanov, Ihab Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzanni, in CIDR 2015, Asilomar, California
  8. Large-scale Semantic Profile Extraction  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker EDBT 2014, Athens, Greece
  9. Text and Structured Data Fusion in DataTamer at Scale  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker, Daniel Bruckner, IEEE ICDE 2014, Chicago, Illinois
  10. ReadFast: High-relevance Search-engine for Big Text [bib] [pdf]
    Michael Gubanov, Anna Pyayt. ACM CIKM 2013, San Francisco, California
  11. 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
Students(advice by Jason Eisner,Kevin Gimpel,David Peterson)
  1. Eric Almanza
  2. Purna Chandra
  3. Sophie Pavia
  4. Nick Priano
  5. Montasir Shams
  6. Sai Amirishetty
  7. Jayaprakash Veldanda
  8. Dylan Grant
  9. Yuqi Li
Alumni
  1. Manju Krishnan, US Bank
  2. Anusha Kola, HCL America
  3. Shiva Guralla, with Sudhir Aggarwal, Amazon

Links