Michael Gubanov

Assistant Professor
News: Our COVID-19 Web-scale vizualization paper was accepted to ACM CIKM 2022!
              Our tabular profiling paper was accepted to ACM SIGMOD 2022!
              Launched COVIDKG.ORG and AGINGGRAPH.ORG
              Our New Data Science courses approved by FSU and State of Florida!
              Elected to Sigma Xi, 2021
              Communications of the ACM 2020 Research Highlight Award!
              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 Scalable Data Science and Management, Web-scale Deep Learning, Mobile Health, and Machine Reading. Our recent projects are COVIDKG.ORG and AGINGGRAPH.ORG - Web-scale, trustworthy Knowledge Graphs on COVID-19 and Ageing, learned by our trained Deep-learning models comprehending millions of Web sources.

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 Computer Science and Artificial Intelligence Laboratory (CSAIL) of MIT with the A.M. Turing Award recipient 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. "Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings"
    Michael Gubanov, Sophie Pavia, Anna Pyayt, William Goble, to appear in ACM CIKM, 2022
  2. "Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment"
    Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael Gubanov, in ACM SIGMOD, 2022
  3. WebLens: Towards Interactive Large-scale Structured Data Profiling
    Rituparna Khan, Michael Gubanov, in ACM CIKM 2020, online [pdf]
  4. Hybrid.Poly: A Consolidated Interactive Analytical Polystore System
    Maksim Podkorytov, Michael Gubanov, in ICDE 2019, Macao, China SAR [pdf]
  5. CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data  [pdf]
    Michael Gubanov, Manju Priya, Maxim Podkorytov, in WWW 2017, Perth, Australia
  6. Generating UFOs from the Classified Object Tables  [pdf]
    Anusha Kola, Harshal More, Sean Soderman, Michael Gubanov, in IEEE Bigdata 2017, Boston, MA
  7. 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
  8. Type-aware Web search  [bib] [pdf]
    Michael Gubanov, Anna Pyayt , in EDBT 2016, Bordeaux, France
  9. 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
  10. Large-scale Semantic Profile Extraction  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker EDBT 2014, Athens, Greece
  11. Text and Structured Data Fusion in DataTamer at Scale  [bib] [pdf]
    Michael Gubanov, Michael Stonebraker, Daniel Bruckner, IEEE ICDE 2014, Chicago, Illinois
  12. ReadFast: High-relevance Search-engine for Big Text [bib] [pdf]
    Michael Gubanov, Anna Pyayt. ACM CIKM 2013, San Francisco, California
  13. 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
"Much have I learned from my teachers, more from my colleagues, but from my students, most of all."

--Rabbi Hanina (b. Ta'anit 7a)

Students(advice by Jason Eisner,Kevin Gimpel,David Peterson)

  1. Eric Almanza
  2. Purna Chandra
  3. Saferi Rahman
  4. Bhim Kandibedala
BigLab! Alumni
  1. Manju Krishnan, US Bank, TX, Full Stack Software Engineer; Amazon Alexa, WA, Software Engineer
  2. Anusha Kola, HCL America, TX, Software Engineer
  3. Sai Amirishetty, Walmart, AR, Software Engineer
  4. Jayaprakash Veldanda, Walmart, AR, Software Engineer
  5. Yuqi Li
  6. Maxim Podkorytov, Facebook, CA, Research Scientist
  7. Sophie Pavia
  8. William Goble, Dickinson College, PA, Visiting Assistant Professor

Links