Alina Lazar

2002

Ph D, Computer Science

Wayne State University

Dissertation/Thesis Title — "Impact of Knowledge Discovery Techniques on Multi-Agent Simulation of Cultural Evolution"

1995

BS, Computer Science

Western University of Timisoara

2025

Youngstown State University

Distinguish Professorship Award for Teaching

2022

Youngstown State University

Distinguish Professorship Award for Research

2017

Distinguish Professorship Award for Service

Youngstown State University

2008

Youngstown State University

Distinguish Professorship Award for Scholarship

2025

"Scaling Graph Neural Networks for Particle Track Reconstruction"

A. Tripathy, A. Lazar, X. Ju, P. Calafiura, K. Yelick, . Buluc

2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE

2024

"Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference"

H. Paschke, J. Gaboriault-Whitcomb, C. Zoccole, A. Lazar

2024

"Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach"

M. Adlouni, L. Jin, X. Xu, C. Spurlock, A. Lazar, K. Sadabadi, M. Amirgholy, M. Asudegi

2024

"Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach"

L. Jin, X. Xu, Y. Wang, A. Lazar, K. Sadabadi, C. Spurlock, Z. Needell, D. Don, M. Amirgholy, M. Asudegi

Data Science for Transportation, Springer Science and Business Media LLC, volume 6, issue 3

2024

"Improving Computational Performance of ATLAS GNN Track Reconstruction Pipeline"

A. Lazar, J. Burzynski, P. Calafiura, L. Condren, H. Torres, J. Chan, C. Collard, M. Pham, . Stark, . Murnane, . Liu, M. Neubauer, S. Caillou, . Vallier, X. Ju, . Burleson

2024

"High Performance Graph Segmentation for ATLAS GNN Track Reconstruction"

D. Murnane, . Condren, D. Whiteson, R. Liu, A. Lazar, A. Vallier, X. Ju

2024

"Physics performance of the ATLAS GNN4ITk track reconstruction chain"

S. Caillou, P. Calafiura, X. Ju, A. Lazar, D. Murnane, M. Pham, C. Rougier, J. Stark, . Vallier

2024

"Peachy Parallel Assignments (EduPar 2024)"

A. Lazar, E. Scheelk, E. Shoop, D. Bunde

2024

"A language model for particle tracking"

A. Huang, . Melkani, P. Calafiura, A. Lazar, D. Murnane, M. Pham, X. Ju

2024

"Improving Computational Performance of a GNN Track Reconstruction Pipeline for ATLAS"

D. Murnane, J. Burzynski, P. Calafiura, L. Condren, H. Torres, J. Chan, C. Collard, . Pham, A. Lazar, J. Stark, . Liu, M. Neubauer, S. Caillou, A. Vallier, X. Ju, J. Burleson

2023

"Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities"

L. Jin, X. Xu, Y. Wang, K. Sadabadi, A. Lazar, D. Don, Z. Needell, C. Spurlock, M. Amirgholy, M. Asudegi

2023

"Optimizing the Exa. TrkX Inference Pipeline for Manycore CPUs"

A. Lazar

2023

"Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective"

H. Yang, L. Jin, A. Lazar, A. Todd-Blick, A. Sim, K. Wu, Q. Chen, C. Spurlock

Systems, MDPI AG, volume 11, issue 6, p. 314

2023

"Peachy Parallel Assignments (EduPar 2023)"

A. Lazar, V. Niculescu, D. Bunde

2023

"A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data"

P. Pokhrel, A. Lazar

The International FLAIRS Conference Proceedings, University of Florida George A Smathers Libraries, volume 36

2023

"“Graph Neural Networks for link prediction,”"

A. Lazar

2023

"“A comparative study of imputation methods for time series data,”"

D. Khan, A. Lazar

2023

"Peachy Parallel Assignments (EduPar 2023)"

A. Lazar, V. Niculescu, D. Bunde

2023

"Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline"

C. Wang, X. Ju, S. Hsu, D. Murnane, P. Calafiura, S. Farrell, M. Spiropulu, J. Vlimant, A. Aurisano, J. Hewes, G. Cerati, L. Gray, T. Klijnsma, J. Kowalkowski, M. Atkinson, M. Neubauer, G. DeZoort, S. Thais, A. Ballow, A. Lazar, S. Caillou, C. Rougier, J. Stark, A. Vallier, J. Sardain

Journal of Physics: Conference Series, IOP Publishing, volume 2438, issue 1, p. 012117

2023

"Accelerating the Inference of the Exa.TrkX Pipeline"

A. Lazar, X. Ju, D. Murnane, P. Calafiura, S. Farrell, Y. Xu, M. Spiropulu, J. Vlimant, G. Cerati, L. Gray, T. Klijnsma, J. Kowalkowski, M. Atkinson, M. Neubauer, G. DeZoort, S. Thais, S. Hsu, A. Aurisano, J. Hewes, A. Ballow, N. Acharya, C. Wang, E. Liu, A. Lucas

Journal of Physics: Conference Series, IOP Publishing, volume 2438, issue 1, p. 012008

2023

"“Reconstruction of Large Radius Tracks with the Exa. TrkX pipeline,”"

C. Wang, X. Ju, S. Hsu, D. Murnane, . Calafiura, S. Farrell, . Spiropulu, . Vlimant, A. Aurisano, J. Hewes, G. Cerati, L. Gray, T. Klijnsma, J. Kowalkowski, M. Atkinson, M. Neubauer, G. DeZoort, S. Thais, A. Ballow, A. Lazar, S. Caillou, C. Rougier, J. Stark, A. Vallier, J. Sardain

2023

"“Accelerating the Inference of the Exa. TrkX Pipeline,”"

A. Lazar, X. Ju, D. Murnane, P. Calafiura, S. Farrell, Y. Xu, M. Spiropulu, J. Vlimant, G. Cerati, L. Gray, T. Klijnsma, J. Kowalkowski, M. Atkinson, M. Neubauer, G. DeZoort, S. Thais, S. Hsu, A. Aurisano, J. Hewes, A. Ballow, N. Acharya, C. Wang, . Liu, A. Lucas

2023

"Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective"

H. Yang, L. Jin, A. Lazar, A. Todd-Blick, A. Sim, K. Wu, Q. Chen, C. Spurlock

2022

"Applying and optimizing the Exa.TrkX Pipeline on the OpenDataDetector with ACTS"

B. Huth, P. Calafiura, L. Heinrich, X. Ju, A. Lazar, D. Murnane, A. Salzburger, T. Wettig

2022

"What Makes You Hold on to That Old Car? Joint Insights From Machine Learning and Multinomial Logit on Vehicle-Level Transaction Decisions"

L. Jin, A. Lazar, C. Brown, B. Sun, V. Garikapati, S. Ravulaparthy, Q. Chen, A. Sim, K. Wu, T. Ho, T. Wenzel, C. Spurlock

Frontiers in Future Transportation, Frontiers Media SA, volume 3

2021

"Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions"

A. Lazar, L. Jin, C. Brown, C. Spurlock, A. Sim, K. Wu

2021

"Performance of a geometric deep learning pipeline for HL-LHC particle tracking"

X. Ju, D. Murnane, P. Calafiura, N. Choma, S. Conlon, S. Farrell, Y. Xu, M. Spiropulu, J. Vlimant, A. Aurisano, J. Hewes, G. Cerati, L. Gray, T. Klijnsma, J. Kowalkowski, M. Atkinson, M. Neubauer, G. DeZoort, S. Thais, A. Chauhan, A. Schuy, S. Hsu, A. Ballow, A. Lazar

The European Physical Journal C, Springer Science and Business Media LLC, volume 81, issue 10

2021

"A Survey of Teaching PDC Content in Undergraduate Curriculum"

X. Suo, O. Glebova, D. Liu, A. Lazar, D. Bein

2020

"Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection"

S. Bhandari, A. Kukreja, A. Lazar, A. Sim, K. Wu

2020

"GPU-based Classification for Wireless Intrusion Detection"

A. Lazar, A. Sim, K. Wu

2020

"Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes"

L. Jin, A. Lazar, J. Sears, A. Todd-Blick, A. Sim, K. Wu, H. Yang, C. Spurlock

IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), volume 8, p. 190964-190980

2019

"Understanding Data Similarity in Large-Scale Scientific Datasets"

P. Linton, W. Melodia, A. Lazar, D. Agarwal, L. Bianchi, D. Ghoshal, G. Pastorello, L. Ramakrishnan, K. Wu

2019

"Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use"

A. Lazar, A. Ballow, L. Jin, C. Spurlock, A. Sim, K. Wu

2019

"Federated Wireless Network Intrusion Detection"

B. Cetin, A. Lazar, J. Kim, A. Sim, K. Wu

2019

"Peachy Parallel Assignments (EduHPC 2019)"

M. Agung, A. Malony, H. Takizawa, D. Bunde, M. Amrizal, S. Bogaerts, R. Egawa, D. Ellsworth, J. Fernandez-Fabeiro, A. Gonzalez-Escribano, S. Kundu, A. Lazar

2019

"Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization"

A. Lazar, L. Jin, C. Spurlock, K. Wu, A. Sim, A. Todd

Journal of Data and Information Quality, Association for Computing Machinery (ACM), volume 11, issue 2, p. 1-22

2019

"Automatic Detection of Network Traffic Anomalies and Changes"

A. Syal, A. Lazar, J. Kim, A. Sim, K. Wu

2018

"Predicting Network Traffic Using TCP Anomalies"

A. Lazar, K. Wu, A. Sim

2017

"Data quality challenges with missing values and mixed types in joint sequence analysis"

A. Lazar, L. Jin, C. Spurlock, K. Wu, A. Sim

2016

"Analyzing developer sentiment in commit logs"

V. Sinha, A. Lazar, B. Sharif

2014

"Improving the accuracy of duplicate bug report detection using textual similarity measures"

A. Lazar, S. Ritchey, B. Sharif

2014

"Generating duplicate bug datasets"

A. Lazar, S. Ritchey, B. Sharif

2014

"An eye-tracking study assessing the comprehension of c++ and Python source code"

R. Turner, M. Falcone, B. Sharif, A. Lazar

2011

"Discovering coherence and justification clusters in digital transcripts using epistemic analysis"

C. Hughes, T. Hughes, A. Lazar

2011

"“Classification of Spatially Imbalanced Data.”"

A. Lazar, B. Shellito

Proceedings of the 22nd Midwest Artificial Intelligence and Cognitive Science Conference, volume 710, p. 108-113

2010

"A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets"

A. Lazar

2008

"“Classification in GIS Using Support Vector Machines.”"

A. Lazar, B. Shellito

Handbook of Research on Geoinformatics, Hershey: IGI Global, p. 106-112

2008

"Epistemic Structured Representation for Legal Transcript Analysis"

T. Hughes, C. Hughes, A. Lazar

2006

"Support Vector Machines Optimization - An Income Prediction Study"

A. Lazar, R. Zaremba

2005

"“Comparing Machine Learning Classification Schemes – A GIS Approach.”"

A. Lazar, B. Shellito

Proceedings of the Fourth International Conference on Machine Learning and Applications (ICMLA'05), IEEE Computer Society, volume 00:, p. 75-81

2005

"“Applying Support Vector Machines and GIS to Urban Pattern Recognition.”"

B. Shellito, A. Lazar

Papers of the Applied Geography Conferences, volume 28, p. 170-180

2002

"<title>Computational framework for modeling the dynamic evolution of large-scale multi-agent organizations</title>"

A. Lazar, R. Reynolds

2002

"Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets"

A. Lazar

2025 - present

Committee Member
NSF LEVEL UP AI Roundtable

2025 - 2025

Reviewer, Ad Hoc Reviewer
Tapia Conference

2025 - 2025

Conference-Related
OCWiC 2025

2025 - 2025

Reviewer, Conference Paper
CHEP 2024 Conference on Computing in High Energy Physics

2024 - 2025

Reviewer, Journal Article
Computing and Software for Big Science

2024 - 2024

Reviewer, Ad Hoc Reviewer
SIAM_CSE25

2024 - 2024

Reviewer, Conference Paper
23 International Conference of Machine Learning and Applications

2024 - 2024

Reviewer, Conference Paper
22 International Conference of Machine Learning and Applications

2024 - 2024

Reviewer, Conference Paper
3rd Graph Neural Networking Workshop (GNNet 2024)

2024 - 2025

Reviewer, Journal Article
Journal of Parallel and Distributed Computing

2024 - 2024

Reviewer, Ad Hoc Reviewer
SIAM_MDS25

2024 - 2024

Reviewer, Conference Paper
7th International Workshop on Systems and Network Telemetry and Analytics (SNTA 2024)

2024 - 2024

Reviewer, Grant Proposal
The Office of High Energy Physics (HEP) within the Department of Energy Office of Science

2024 - 2024

Reviewer, Grant Proposal
Department of Energy's Office of Science

2024 - 2024

Reviewer, Conference Paper
PEARC25

2024 - 2024

Reviewer, Ad Hoc Reviewer
Tapia Conference

2024 - 2024

Reviewer, Conference Paper
PEARC24

2024 - 2024

Reviewer, Journal Article
Artificial Intelligence In Medicine

2023 - 2023

Reviewer, Grant Proposal
The Office of High Energy Physics (HEP) within the Department of Energy Office of Science

2023 - 2023

Reviewer, Conference Paper
2nd Graph Neural Networking Workshop (GNNet 2023)

2023 - 2023

Organizer
Girl Scouts Robotics Badge event