Michael Gubanov

Assistant Professor
News: Awarded a grant from FL Department of Health Casey DeSantis Florida Cancer Innovation Fund for constructing a hybrid Polystore/LLM simplifying access to Cancer Data Lakes!
              Awarded an NSF grant (PI, $550,000) for constructing Web-scale Knowledge Graphs and LLMs for Data Science!
              Received the AWS AI Amazon Research Award (ARA)! Thanks to Amazon for supporting BigLab! research!
              One more paper by BigLab! accepted to The Web Conference (WWW) 2023, held in Austin, TX this year!
              Two more papers accepted, total 3 papers presented at EDBT by BigLab! this year!!
              Our COVIDKG.ORG paper was accepted to EDBT 2023!
              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

Service

  • Program Committee (PC), ACM SIGMOD, 2025
  • Program Committee (PC), EDBT, 2025
  • Program Committee (PC), The Web Conference (WWW) 2024
  • Program Committee (PC), ACM WSDM 2024
  • Program Committee (PC), The Web Conference (WWW) 2023
  • Program Committee (PC), ACM WSDM 2023
  • Reviewer, IEEE TKDE Journal Special Issue (ICDE Best Paper), 2023
  • Session Chair, SIGMOD, 2022
  • Program Committee (PC), ACM SIGMOD, 2023
  • Program Committee (PC), ICDE, 2023
  • Program Committee (PC), The Web Conference (WWW), 2022
  • Program Committee (PC), AAAI, 2022
  • Program Committee (PC), ACM SIGMOD, 2022
  • Program Committee (PC), IEEE ICDE, 2022
  • Senior Program Committee (SPC), EDBT, 2022
  • Program Committee (PC), Vice Chair, IEEE BigData, 2021
  • Reviewer, ACM SIGMOD Record, 2021
  • Reviewer, IEEE TKDE Journal, 2021
  • Program Committee (PC), ACM SIGMOD, 2021
  • Program Committee (PC), ACM SIGMOD Demo, 2021
  • Program Committee (PC), VLDB Demo, 2021
  • Program Committee (PC), EDBT, 2021
  • Session Chair, EDBT, 2021
  • Senior Program Committee (SPC), The Web Conference (WWW), 2021
  • Senior Program Committee (SPC), ACM CIKM, 2020
  • Program Committee (PC), AAAI, 2021
  • Reviewer, VLDB Journal, 2020
  • Session Chair, VLDB, 2020
  • Program Committee (PC), VLDB Demo, 2020
  • Program Committee (PC), ICDE, 2020
  • Program Committee (PC), ICDE Demo, 2020
  • Program Committee (PC), IEEE BigData, 2020
  • Program Committee (PC), VLDB Poly, 2020
  • Program Committee (PC), EDBT BigVis, 2020
  • Program Committee (PC), IEEE Bigdata, 2019
  • Program Committee (PC), VLDB, Poly, 2019
  • Program Committee (PC), WWW, Search, 2019
  • Program Committee (PC), EDBT BigVis, 2019
  • Program Committee (PC) Member and Co-Chair, IEEE Bigdata, 2018
  • Program Committee (PC), ACM SIGIR, Search, 2018
  • Program Committee (PC), WWW, Search, 2018
  • Program Committee (PC), EDBT BigVis, 2018
  • Program Committee (PC), IEEE Sensors, 2018
  • Program Committee (PC), IEEE Sensors, 2017
  • Reviewer, VLDB Journal, 2017
  • Session Chair (2 Research Track sessions), IEEE Big Data, 2017
  • NSF Panelist, 2016
  • NSF Innovation-Corps (I-Corps), Mentor, 2016
  • Reviewer, IEEE Transactions on Big Data, 2016
  • Session Chair, ACM SIGMOD WebDB, 2013

Teaching

  • FSU IDC 4140/CAP 5768, Introduction to Data Science, Fall 2023; 123 Graduate and Undergraduate students
  • FSU CAP 5769, Advanced Data Science, Spring 2023; 91 Graduate students
  • FSU IDC 4140/CAP 5768, Introduction to Data Science, Fall 2022; 114 Graduate and Undergraduate students
  • FSU CAP 5769, Advanced Data Science, Spring 2022; 59 Graduate students
  • FSU IDC 4140/CAP 5768, Introduction to Data Science, Fall 2021; 70 Graduate and Undergraduate students
  • FSU CIS5930/4930, Introduction to Data Science, Spring 2021
  • FSU CIS5930/4930, Advanced Topics in Data Science, Fall 2020
  • FSU CIS5930/4930, Introduction to Data Science, Spring 2020
  • FSU CIS5930/4930, Data Science, Spring 2019, Student teams with awards: Team1, Team2, Team3
  • UTSA CS.5443 Database Management Systems, Spring 2018
  • UTSA CS.4593/6463 Large-scale Data Management, Fall 2017, Student teams with awards: Team1, Team2, Team3; 4 publications accepted to IEEE Bigdata 2017 in Boston, MA
  • UTSA CS.4593/6463 Data Science, Spring 2017
  • UTSA CS.3743/5443 Introduction to Database Systems/Database Management Systems, Fall 2016
  • UTSA CS.4593/6463 Large-scale Data Management, Spring 2016, Student teams with awards: Team1, Team2, Team3
  • MIT CSAIL 6.885 Invited Lecture on Large-scale Data Integration, Fall 2013
  • USF BME 6910 Modern Biomedical Technologies, Invited Lecturer, Fall 2013
Massachusetts Institute of Technology MIT Database Group

© Copyright 2014 Michael Gubanov. All rights reserved.