Faculty

Institution

Unit

Venue

Alina Lazar

Professor

Youngstown State University

Affiliations

Beeghly College of Liberal Arts, Social Sciences, and Education

Department Of Sociology And Anthropology

Humanities & Social Sciences

Bitonte College of Health and Human Services

Excercise Science

Williamson College of Business Administration

Center For Nonprofit Leadership

College of Science, Technology, Engineering, and Mathematics

Physics & Astronomy

Department Of Educational Leadership

Office of the Dean of Students

Alina Lazar is currently serving as a Beeghly College Of Liberal Arts, Social Sciences, And Education Professor at Youngstown State University.

Honors

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Experiences

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Education

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Alina Lazar

Youngstown State University

Professor

You can click a keyword to filter the displayed items

data science computer science machine learning statistics knowledge discovery data mining predictive analytics pattern recognition machine learning research mobility classification method network science graph theory computational intelligence graph neural networks support vector machines traffic prediction data classification data management computer security networked system design statistical methodology intrusion detection systems internet traffic analysis network traffic measurement gender studies economic research economic analysis information technology vehicular technology intelligent vehicles travel behavior benchmark datasets graph processing wireless security mixed data types tabular data communication security wireless communications data security soft computing decision science program comprehension source code analysis intrusion tolerance network security data deduplication test data generation data generation feature selection economic forecasting life course individual mobility data-driven decision-making choice models mobility data activity-travel patterns transport modelling higher education teaching curriculum & instruction anomaly detection data treatment developer sentiment commit logs textual similarity measures python source code eye-tracking study duplicate bug datasets income prediction habitual travel modes heterogeneous effects life events multinomial logit old car vehicle-level transaction decisions undergraduate curriculum physics computational imaging laboratory investigation modern physics acta astronautica computational astrophysics machine intelligence experimental physics intelligent computing deep learning neural computation science advance intelligent systems computational physics nature method artificial intelligence neural engineering image analysis image representation neural network (machine learning) dark matter scientific computing informatics astroparticle physics bio-inspired computation natural computing computer vision science and technology studies computational science computational neuroscience machine vision biomedical informatics physic education undergraduate research scientific communication space exploration memetic computing astronomy engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

Scalable Gnn Training for Track Finding. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2026)

artificial intelligencecomputer scienceknowledge discoveryrobot learningneural network (machine learning)neural architecture searchmachine learning

Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach. ArXiv.org (2025)

systems engineeringintelligent vehiclestraffic modelstraffic simulationmacroscopic emission modelingtraffic predictionmachine learning approachdata sciencetransportation engineeringvehicular technologymachine learning

Scaling Graph Neural Networks for Particle Track Reconstruction. (2025)

particle methodsgeometric learningdeep learningscientific computingcomputational imagingneural network (machine learning)bio-inspired computationgraph neural networksmachine visionmultiscale modelingapplied mathematics

A Language Model for Particle Tracking. arXiv (Cornell University) (2024)

computer visionlanguage modelobject trackinglocalizationtracking systemsmachine visionlanguage

Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach. Data Science for Transportation (2024)

Ling JinXiaodan XuYuhan WangAlina LazarKaveh Farokhi SadabadiC. Anna SpurlockZachary NeedellDuleep Rathgamage DonMahyar AmirgholyMona Asudegi

macroscopic traffictraffic simulationdata scienceprobe vehicle datamachine learning

Peachy Parallel Assignments (Edupar 2024). (2024)

computer sciencecomputational scienceparallel problem solvingscientific computingparallel computingparallel programmingparallel processingpeachy parallel assignments

Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference. (2024)

computer sciencegraph theorygraph processinggraph sparsityfast inferencedeep learningefficient edge classificationmodel compressionneural network (machine learning)graph neural networksmachine learning researchdata scienceimage representationpattern recognitionmachine learning

Accelerating the Inference of the Exa.Trkx Pipeline. Journal of Physics Conference Series (2023)

computer scienceexploratory data analysiscomputational scienceinferenceexa.trkx pipelinescientific computingbenchmark datasetsdata modelingcomputational statisticsbayesian analysishigh-dimensional statistics

A Comparison of Automl Hyperparameter Optimization Tools for Tabular Data. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023)

computer sciencetabular datahyperparameter estimationgranular computingautomated machine learningdatabasesbenchmarking toolmodel selectiondata sciencedata managementcomputational optimization

Comparative Study of Imputation Methods for Time Series Data. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023)

statistical methodologycomparative studystatisticsdata modelingcomputational statisticsmissing dataquantitative science studiesincompletenesstime series

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Alina Lazar

Professor

Youngstown State University

Affiliations

Beeghly College of Liberal Arts, Social Sciences, and Education

Department Of Sociology And Anthropology

Humanities & Social Sciences

Bitonte College of Health and Human Services

Excercise Science

Williamson College of Business Administration

Center For Nonprofit Leadership

College of Science, Technology, Engineering, and Mathematics

Physics & Astronomy

Department Of Educational Leadership

Office of the Dean of Students

Alina Lazar is currently serving as a Beeghly College Of Liberal Arts, Social Sciences, And Education Professor at Youngstown State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Alina Lazar

Youngstown State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Scalable Gnn Training for Track Finding. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2026)

artificial intelligencecomputer scienceknowledge discoveryrobot learningneural network (machine learning)neural architecture searchmachine learning

Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach. ArXiv.org (2025)

Scaling Graph Neural Networks for Particle Track Reconstruction. (2025)

A Language Model for Particle Tracking. arXiv (Cornell University) (2024)

computer visionlanguage modelobject trackinglocalizationtracking systemsmachine visionlanguage

Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach. Data Science for Transportation (2024)

Ling JinXiaodan XuYuhan WangAlina LazarKaveh Farokhi SadabadiC. Anna SpurlockZachary NeedellDuleep Rathgamage DonMahyar AmirgholyMona Asudegi

macroscopic traffictraffic simulationdata scienceprobe vehicle datamachine learning

Peachy Parallel Assignments (Edupar 2024). (2024)

computer sciencecomputational scienceparallel problem solvingscientific computingparallel computingparallel programmingparallel processingpeachy parallel assignments

Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference. (2024)

Accelerating the Inference of the Exa.Trkx Pipeline. Journal of Physics Conference Series (2023)

A Comparison of Automl Hyperparameter Optimization Tools for Tabular Data. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023)

computer sciencetabular datahyperparameter estimationgranular computingautomated machine learningdatabasesbenchmarking toolmodel selectiondata sciencedata managementcomputational optimization

Comparative Study of Imputation Methods for Time Series Data. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023)

statistical methodologycomparative studystatisticsdata modelingcomputational statisticsmissing dataquantitative science studiesincompletenesstime series

1
2
3
4
5
6
10 / page