Michael Gubanov

Assistant Professor
News: Two more papers accepted by ACM CIKM 2024 and EDBT 2025!
              Awarded a grant from FL Department of Health Casey DeSantis Florida Cancer Innovation Fund as a PI for constructing a hybrid Polystore/LLM simplifying access to Cancer Data Lakes!
              Awarded an NSF grant as a PI 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 by 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
Curriculum Vitae
Follow me on ResearchGate

2024
  1. Cancer.Poly: A Hybrid Polystore/LLM Simplifying Access To Knowledge in Clinical Data Lakes
    Massachussetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA
  2. COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning
    University of South Florida (USF), Tampa, FL
  3. CancerKG.ORG: A Novel AI Information Retrieval System and Knowledge Graph for Cancer Treatment and Care
    Moffitt Cancer Center and Research Institute, Tampa, FL
  4. CancerKG.ORG: A Novel AI Information Retrieval System and Knowledge Graph for Cancer Treatment and Care
    4th International Conference on PharmScience Research & Development, Boston, MA [program]
2023-2016
  1. COVIDKG.ORG: Building an Interactive, Trustworthy, Up to Date COVID-19 Knowledge Graph
    University of California at Riverside, Riverside, CA
  2. A Data Model and a Scalable System to Facilitate Access to Large-scale Structured Datasets
    Florida State University, Tallahassee, FL
  3. Hybrid.Poly: An Interactive Analytical Polystore
    Florida State University, Tallahassee, FL
  4. Saving Mothers and Babies using Big Data Analytics
    National Academy of Sciences (NAS), Washington, D.C.
  5. Saving Mothers and Babies using Big Data Analytics
    Capitol Hill, Washington, D.C.
  6. Hybrid: A Large-scale Linear-Relational Database Management System[video]
    Massachussetts Institute of Technology, Cambridge, MA
  7. Hybrid: A Large-scale Linear-Relational Database Management System
    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
    Universeity of Texas at San Antonio, San Antonio, TX
  3. Taming Big Data Variety
    University of Florida, Gainesville, FL
  4. Taming Big Data Variety
    University of Central Florida, Orlando, FL
  5. 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.