Faculty

Institution

Unit

Venue

Boris Glavic

Associate Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Boris Glavic is currently serving as a College Of Engineering Associate Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Boris Glavic

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

data science computer science databases data provenance data management provenance analysis provenance management information retrieval systems engineering machine learning informatics data integration information technology automated reasoning data mining knowledge management semantic web information management knowledge discovery scientific data database theory query optimization information science database technology management logic in computer science natural language processing semantic evaluation why-not provenance provenance summaries scientific computing data engineering research data management semantic reasoner provenance question historical what-if queries data security detrital provenance data exploration data exchange knowledge engineering debugger data retrieval interpretable data-based explanations provenance graph nested data query rewriting wireless communications localization wireless personal communication mobile computing rf localization indoor positioning systems location estimation knowledge integration ai integration metadata integration metadata management resource integration information discovery digital investigation database security proof assistants database schema stream processing automatic annotation annotation tool value creation signal strength map mobile user signal strength processing provenance big data provenance efficient generation provenance information fairness debugging big data data curation

Notable Scholarly Works

Notable Federal Grants

Collaborators

In-Memory Incremental Maintenance of Provenance Sketches. Proceedings of the International Conference on Extending Database Technology (2026)

informaticscomputer scienceprovenance sketchesdata provenanceprovenance analysisprovenance managementdatabasesdata sciencedata managementsoftware engineering

ALSATIAN: Optimizing Model Search for Deep Transfer Learning. Proceedings of the ACM on Management of Data (2025)

transfer learningmodel optimizationdeep learningneural network (machine learning)machine learning researchcomputational intelligencedata sciencedeep transfer learningmachine learning

FASTPDB: Towards Bag-Probabilistic Queries at Interactive Speeds. Proceedings of the ACM on Management of Data (2025)

Aaron HuberOliver KennedyAtri RudraZhuoyue ZhaoSu FengBoris Glavic

interactive speedscomputer sciencetowards bag-probabilistic queriesdatabasesdata scienceinformation managementdata managementinformation retrievalquery optimizationinteractive information retrieval

Refining Labeling Functions With Limited Labeled Data. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2025)

computer scienceknowledge discoverydata annotationsemi-supervised learningsupervised learningsemantic evaluationdata miningcomputational statisticsdata sciencemachine learning researchlimited labeled datapattern recognitionmachine learning

Smallest Synthetic Witnesses for Conjunctive Queries. Proceedings of the ACM on Management of Data (2025)

computer sciencelogic in computer sciencesmallest synthetic witnessesproof complexityknowledge representation and reasoningdatabasesautomated reasoningknowledge compilationformal methods

Stress-Testing ML Pipelines With Adversarial Data Corruption. Proceedings of the VLDB Endowment (2025)

computer sciencestress-testing ml pipelinesadversarial machine learningrobustness testingmachine learning researchcomputational intelligencemachine learning

Z Orro: Quantifying Uncertainty in Models Predictions Arising From Dirty Data. (2025)

inferenceuncertainty modelinguncertainty parameteruncertainty formalismdata sciencedirty datacomputer scienceuncertain datauncertainty quantificationmodel selectionapproximate reasoningstatistical inferencestatisticsstatistical methodologyuncertainty analysiscomputational statisticsstatistical modelspredictive analyticsquantifying uncertaintydeep uncertaintystatistical softwaremachine learning researchbayesian analysis

Data Provenance. Cambridge University Press eBooks (2024)

James BagrowYong‐Yeol Ahn

informaticsdata provenancedatabase technologydatabase theorydata retrievaldatabasesdata scienceinformation retrieval

INFERDB: In-Database Machine Learning Inference Using Indexes. Proceedings of the VLDB Endowment (2024)

Ricardo Salazar-DíazBoris GlavicTilmann Rabl

data sciencemachine learning

Learning From Uncertain Data: From Possible Worlds to Possible Models. arXiv (Cornell University) (2024)

Zhu, JiongliFeng, SuGlavic, BorisSalimi, Babak

knowledge discoverylearning sciencesuncertain datapossible modelslearning analyticsdata modelingdata sciencepossible worldsmachine learning

1
2
3
4
5
17
10 / page

Boris Glavic

Associate Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Boris Glavic is currently serving as a College Of Engineering Associate Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Boris Glavic

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

In-Memory Incremental Maintenance of Provenance Sketches. Proceedings of the International Conference on Extending Database Technology (2026)

informaticscomputer scienceprovenance sketchesdata provenanceprovenance analysisprovenance managementdatabasesdata sciencedata managementsoftware engineering

ALSATIAN: Optimizing Model Search for Deep Transfer Learning. Proceedings of the ACM on Management of Data (2025)

transfer learningmodel optimizationdeep learningneural network (machine learning)machine learning researchcomputational intelligencedata sciencedeep transfer learningmachine learning

FASTPDB: Towards Bag-Probabilistic Queries at Interactive Speeds. Proceedings of the ACM on Management of Data (2025)

Aaron HuberOliver KennedyAtri RudraZhuoyue ZhaoSu FengBoris Glavic

interactive speedscomputer sciencetowards bag-probabilistic queriesdatabasesdata scienceinformation managementdata managementinformation retrievalquery optimizationinteractive information retrieval

Refining Labeling Functions With Limited Labeled Data. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2025)

Smallest Synthetic Witnesses for Conjunctive Queries. Proceedings of the ACM on Management of Data (2025)

computer sciencelogic in computer sciencesmallest synthetic witnessesproof complexityknowledge representation and reasoningdatabasesautomated reasoningknowledge compilationformal methods

Stress-Testing ML Pipelines With Adversarial Data Corruption. Proceedings of the VLDB Endowment (2025)

computer sciencestress-testing ml pipelinesadversarial machine learningrobustness testingmachine learning researchcomputational intelligencemachine learning

Z Orro: Quantifying Uncertainty in Models Predictions Arising From Dirty Data. (2025)

Data Provenance. Cambridge University Press eBooks (2024)

James BagrowYong‐Yeol Ahn

informaticsdata provenancedatabase technologydatabase theorydata retrievaldatabasesdata scienceinformation retrieval

INFERDB: In-Database Machine Learning Inference Using Indexes. Proceedings of the VLDB Endowment (2024)

Ricardo Salazar-DíazBoris GlavicTilmann Rabl

data sciencemachine learning

Learning From Uncertain Data: From Possible Worlds to Possible Models. arXiv (Cornell University) (2024)

Zhu, JiongliFeng, SuGlavic, BorisSalimi, Babak

knowledge discoverylearning sciencesuncertain datapossible modelslearning analyticsdata modelingdata sciencepossible worldsmachine learning

1
2
3
4
5
17
10 / page

Similar Faculty Members

Farshad Fotouhi

Institution

Wayne State University

biomedical ontologies

databases, information systems, ai/ml, medical informatics

Arash Termehchy

Institution

Oregon State University

knowledge-based reasoning

computer science

Carlo Zaniolo

Institution

University of California, Los Angeles

semantic web

data stream management

Curtis Elliott Dyreson

Institution

Utah State University

system software

database system

Marianne S Winslett

Institution

University of Illinois Urbana-Champaign

research data management

information management

Kevin Chenchuan Chang

Institution

University of Illinois Urbana-Champaign

query analysis

semantic search

Jeffrey Ullman

Institution

Stanford University

computer science

machine learning

Sean Xiang Ren

Institution

University of Southern California

semantic network

computational linguistics

Beth A. Plale

Institution

Indiana University Bloomington

artificial society

computational intelligence

Jennifer Widom

Institution

Stanford University

data access

nontraditional data management

Similar Faculty Members

Farshad Fotouhi

Institution

Wayne State University

biomedical ontologies

databases, information systems, ai/ml, medical informatics

Arash Termehchy

Institution

Oregon State University

knowledge-based reasoning

computer science

Carlo Zaniolo

Institution

University of California, Los Angeles

semantic web

data stream management

Curtis Elliott Dyreson

Institution

Utah State University

system software

database system

Marianne S Winslett

Institution

University of Illinois Urbana-Champaign

research data management

information management

Kevin Chenchuan Chang

Institution

University of Illinois Urbana-Champaign

query analysis

semantic search

Jeffrey Ullman

Institution

Stanford University

computer science

machine learning

Sean Xiang Ren

Institution

University of Southern California

semantic network

computational linguistics

Beth A. Plale

Institution

Indiana University Bloomington

artificial society

computational intelligence

Jennifer Widom

Institution

Stanford University

data access

nontraditional data management