Faculty

Institution

Unit

Venue

John A. Miller

Professor of Computer Science

University of Georgia

Affiliations

College of Engineering

School of Computing

Franklin College of Arts and Sciences

School of Computing

John A. Miller is currently serving as a College Of Engineering Professor of Computer Science at University of Georgia.

Honors

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Experiences

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Education

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John A. Miller

University of Georgia

Professor of Computer Science

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computer science systems engineering data science machine learning modeling and simulation information technology bioinformatics semantic web semantics informatics natural language processing ontology (information science) web services information retrieval databases knowledge management communication knowledge discovery web semantics information management quality-of-service information technology management service discovery web-based simulation traffic flow service quality bioinformatics database ontology engineering pattern matching scientific workflow system caching object-oriented databases graph analysis traffic management knowledge modeling web processes distributed systems service computing health technology biological databases semantic interoperability applied artificial intelligence genetic algorithms knowledge integration distributed computing web service modeling genome sequencing graphical models database technology semantic computing knowledge engineering information model workflow technology pathway analysis web service composition eukaryotic pathogen databases composite web services web service technologies data mediation active kdl research directions clinical microbiology electronic commerce cybernetics service management industrial informatics atmospheric research logic in computer science functional genomic database malaria parasites functional genomic resource web service processes web service semantics semantic publication meteor-s wsdi integrated genomic resources technology system simulation transaction management simulation methodology simulation infrastructure

Notable Scholarly Works

Notable Federal Grants

Collaborators

How Effective Are Time Series Models for Pandemic Forecasting?. Lecture notes in computer science (2024)

Subas RanaJohn A. MillerJohn NesbitNasid Habib BarnaMohammed AldosariIsmailcem Budak Arpinar

computer sciencepublic healthpandemic forecastingdata-driven predictionforecastingtime series modelstime series

Classification Using Deep Transfer Learning on Structured Healthcare Data. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023)

Ayda FarhadiDavid ChenRozalina McCoyChristopher ScottPing MaCeline M. VachonJingyi ZhangChe NguforJohn A. Miller

analyticshealth informaticsdigital healthai healthcarehealth technologydisease classificationdata miningdata sciencehealth care analyticshealth scienceshealthcare datamachine learninghealth data

Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for Covid-19 Forecasting. Lecture notes in computer science (2023)

Subas RanaNasid Habib BarnaJohn A. Miller

computer sciencecomputational sciencegraph theoryforecastingresponse predictiongraph processingmutual informationpredictive powerscientific computingforesightmachine learningmachine learning researchcomputational intelligencedata scienceprobabilistic graph theorycovid-19graph analysisstatistics

Knowledge Enhanced Deep Learning: Application to Pandemic Prediction. (2023)

John A. MillerNasid Habib BarnaSubas RanaI. Budak ArpinarNinghao Liu

artificial intelligenceknowledge discoverydeep learningglobal healthmachine learning

Microscopic Vehicular Traffic Simulation: Toward Online Calibration. 2018 Winter Simulation Conference (WSC) (2023)

Yulong WangJohn A. MillerCasey Bowman

systems engineeringtraffic simulationonline calibrationmodeling and simulationapplied mathematics

EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022)

Mohammadreza ImanJohn A. MillerKhaled RasheedRobert M. BranchHamid R. Arabnia

progressive learning systemcomputer sciencedeep transfer learningmachine learning

Graph-Theoretic Computations/Graph Databases. Springer eBooks (2022)

John A. MillerArash Jalal Zadeh FardLakshmish Ramaswamy

computer sciencegraph theorygraph databases

Microscopic Vehicular Traffic Simulation: Comparison of Calibration Techniques. 2018 Winter Simulation Conference (WSC) (2022)

Casey BowmanJohn A. MillerYulong Wang

systems engineeringnumerical simulationstraffic simulationcalibration techniqueslarge-scale simulationsmodeling and simulationapplied physicsapplied mathematics

Organizing Committee. Proceedings of the International Conference on Automated Planning and Scheduling (2022)

Marilyn WolfYanyong ZhangWan DuAlberto CerpaMeng JinWei GaoDavid AtienzaKamin WhitehouseJohn VuranJie GaoJagmohan ChauhanBrad CampbellShija PanAshwin AshokWei LiHua HuangZoom ChairValentin Radu

Research Directions in Process Modeling and Mining Using Knowledge Graphs and Machine Learning. Lecture notes in computer science (2022)

John A. MillerRezwan Mahmud

computer scienceresearch directionsprocess modellingmachine learningprocess modeling

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John A. Miller

Professor of Computer Science

University of Georgia

Affiliations

College of Engineering

School of Computing

Franklin College of Arts and Sciences

School of Computing

John A. Miller is currently serving as a College Of Engineering Professor of Computer Science at University of Georgia.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

John A. Miller

University of Georgia

Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

How Effective Are Time Series Models for Pandemic Forecasting?. Lecture notes in computer science (2024)

Subas RanaJohn A. MillerJohn NesbitNasid Habib BarnaMohammed AldosariIsmailcem Budak Arpinar

computer sciencepublic healthpandemic forecastingdata-driven predictionforecastingtime series modelstime series

Classification Using Deep Transfer Learning on Structured Healthcare Data. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023)

Ayda FarhadiDavid ChenRozalina McCoyChristopher ScottPing MaCeline M. VachonJingyi ZhangChe NguforJohn A. Miller

analyticshealth informaticsdigital healthai healthcarehealth technologydisease classificationdata miningdata sciencehealth care analyticshealth scienceshealthcare datamachine learninghealth data

Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for Covid-19 Forecasting. Lecture notes in computer science (2023)

Subas RanaNasid Habib BarnaJohn A. Miller

Knowledge Enhanced Deep Learning: Application to Pandemic Prediction. (2023)

John A. MillerNasid Habib BarnaSubas RanaI. Budak ArpinarNinghao Liu

artificial intelligenceknowledge discoverydeep learningglobal healthmachine learning

Microscopic Vehicular Traffic Simulation: Toward Online Calibration. 2018 Winter Simulation Conference (WSC) (2023)

Yulong WangJohn A. MillerCasey Bowman

systems engineeringtraffic simulationonline calibrationmodeling and simulationapplied mathematics

EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022)

Mohammadreza ImanJohn A. MillerKhaled RasheedRobert M. BranchHamid R. Arabnia

progressive learning systemcomputer sciencedeep transfer learningmachine learning

Graph-Theoretic Computations/Graph Databases. Springer eBooks (2022)

John A. MillerArash Jalal Zadeh FardLakshmish Ramaswamy

computer sciencegraph theorygraph databases

Microscopic Vehicular Traffic Simulation: Comparison of Calibration Techniques. 2018 Winter Simulation Conference (WSC) (2022)

Casey BowmanJohn A. MillerYulong Wang

systems engineeringnumerical simulationstraffic simulationcalibration techniqueslarge-scale simulationsmodeling and simulationapplied physicsapplied mathematics

Organizing Committee. Proceedings of the International Conference on Automated Planning and Scheduling (2022)

Marilyn WolfYanyong ZhangWan DuAlberto CerpaMeng JinWei GaoDavid AtienzaKamin WhitehouseJohn VuranJie GaoJagmohan ChauhanBrad CampbellShija PanAshwin AshokWei LiHua HuangZoom ChairValentin Radu

Research Directions in Process Modeling and Mining Using Knowledge Graphs and Machine Learning. Lecture notes in computer science (2022)

John A. MillerRezwan Mahmud

computer scienceresearch directionsprocess modellingmachine learningprocess modeling

1
2
3
4
5
18
10 / page

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Similar Faculty Members

Krzysztof J. Kochut

Institution

University of Georgia

ontology (information science)

ontology-based data integration

Beth A. Plale

Institution

Indiana University Bloomington

artificial society

computational intelligence

Jane Greenberg

Institution

Drexel University

ontology (information science)

semantic web

Il-Yeol Song

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Drexel University

data management

data warehousing

Stuart Madnick

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Massachusetts Institute of Technology

systems engineering

computer science

Ophir Frieder

Institution

Georgetown University

health technology

scalable information

Xiaohua Tony Hu

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healthcare informatics

biomedical informatics

Farshad Fotouhi

Institution

Wayne State University

biomedical ontologies

databases, information systems, ai/ml, medical informatics

S. S. Iyengar

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industrial informatics

parallel computing

Murat Kantarcioglu

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privacy protection

data security