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Michael Gubanov
| Assistant Professor |
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| Florida State University |
Computer Science Department
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| 1017 Academic Way |
| Tallahassee, FL 32304 |
gubanov at cs.fsu.edu
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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.
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Selected Publications
- "Learning Topical Structured Interfaces from Medical Research Literature"
Maitry Chauhan, Anna Pyayt, Michael Gubanov, to appear in The Web Conference (WWW), 2023
- "COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning"
Chris Caballero, Anna Pyayt, Nick Piraino, Bhim Kandibedala, Michael Gubanov, to appear in EDBT, 2023
- "Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings"
Michael Gubanov, Sophie Pavia, Anna Pyayt, William Goble, in ACM CIKM, 2022
- "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
- WebLens: Towards Interactive Large-scale Structured Data Profiling
Rituparna Khan, Michael Gubanov, in ACM CIKM 2020, online [pdf]
- Hybrid.Poly: A Consolidated Interactive Analytical Polystore System
Maksim Podkorytov, Michael Gubanov, in ICDE 2019, Macao, China SAR [pdf]
- CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data
[pdf]
Michael Gubanov, Manju Priya, Maxim Podkorytov, in WWW 2017, Perth, Australia
- Generating UFOs from the Classified Object Tables
[pdf]
Anusha Kola, Harshal More, Sean Soderman, Michael Gubanov, in IEEE Bigdata 2017, Boston, MA
- 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
- Type-aware Web search
[bib] [pdf]
Michael Gubanov, Anna Pyayt , in EDBT 2016, Bordeaux, France
- 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
- Large-scale Semantic Profile Extraction
[bib] [pdf]
Michael Gubanov, Michael Stonebraker EDBT 2014, Athens, Greece
- Text and Structured Data Fusion in DataTamer at Scale
[bib] [pdf]
Michael Gubanov, Michael Stonebraker, Daniel Bruckner, IEEE ICDE 2014, Chicago, Illinois
- ReadFast: High-relevance Search-engine for Big Text [bib] [pdf]
Michael Gubanov, Anna Pyayt. ACM CIKM 2013, San Francisco, California
- 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
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"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)
- Eric Almanza
- Purna Chandra
- Aryaan Shaikh
- Bhim Kandibedala
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BigLab! Alumni
- Manju Krishnan, US Bank, TX, Full Stack Software Engineer; Amazon Alexa, WA, Software Engineer
- Anusha Kola, HCL America, TX, Software Engineer
- Sai Amirishetty, Walmart, AR, Software Engineer
- Jayaprakash Veldanda, Walmart, AR, Software Engineer
- Yuqi Li
- Maxim Podkorytov, Facebook, CA, Research Scientist
- Sophie Pavia
- William Goble, Dickinson College, PA, Visiting Assistant Professor
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Links
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