Dr. Alina Lazar
Professor
Computer Science, Information, & Engineering Technology
Meshel Hall 307C
phone: (330) 941-3468
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Intellectual Contributions
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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
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2024
"Peachy Parallel Assignments (EduPar 2024)"
A. Lazar, E. Scheelk, E. Shoop, D. Bunde
IEEE, p. 352-356 -
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
IEEE, p. 2606-2615 -
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
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2023
"Peachy Parallel Assignments (EduPar 2023)"
A. Lazar, V. Niculescu, D. Bunde
IEEE, p. 248-255 -
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
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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
Sissa Medialab, p. 227 -
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
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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
IEEE, p. 3700-3704 -
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
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2021
"A Survey of Teaching PDC Content in Undergraduate Curriculum"
X. Suo, O. Glebova, D. Liu, A. Lazar, D. Bein
IEEE, p. 1306-1312 -
2020
"Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection"
S. Bhandari, A. Kukreja, A. Lazar, A. Sim, K. Wu
ACM, p. 19-26 -
2020
"GPU-based Classification for Wireless Intrusion Detection"
A. Lazar, A. Sim, K. Wu
ACM, p. 27-31 -
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
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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
IEEE, p. 4525-4531 -
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
IEEE -
2019
"Federated Wireless Network Intrusion Detection"
B. Cetin, A. Lazar, J. Kim, A. Sim, K. Wu
IEEE, p. 6004-6006 -
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
IEEE, p. 75-83 -
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
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2019
"Automatic Detection of Network Traffic Anomalies and Changes"
A. Syal, A. Lazar, J. Kim, A. Sim, K. Wu
ACM, p. 3-10 -
2018
"Predicting Network Traffic Using TCP Anomalies"
A. Lazar, K. Wu, A. Sim
IEEE, p. 5369-5371 -
2017
"Data quality challenges with missing values and mixed types in joint sequence analysis"
A. Lazar, L. Jin, C. Spurlock, K. Wu, A. Sim
IEEE, p. 2620-2627 -
2016
"Analyzing developer sentiment in commit logs"
V. Sinha, A. Lazar, B. Sharif
ACM -
2014
"Improving the accuracy of duplicate bug report detection using textual similarity measures"
A. Lazar, S. Ritchey, B. Sharif
ACM -
2014
"Generating duplicate bug datasets"
A. Lazar, S. Ritchey, B. Sharif
ACM, p. 392-395 -
2014
"An eye-tracking study assessing the comprehension of c++ and Python source code"
R. Turner, M. Falcone, B. Sharif, A. Lazar
ACM, p. 231-234 -
2011
"Discovering coherence and justification clusters in digital transcripts using epistemic analysis"
C. Hughes, T. Hughes, A. Lazar
ACM, p. 219-223 -
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
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2010
"A Comparison of Linear Support Vector Machine Algorithms on Large Non-Sparse Datasets"
A. Lazar
IEEE, p. 879-882 -
2008
"“Classification in GIS Using Support Vector Machines.”"
A. Lazar, B. Shellito
Handbook of Research on Geoinformatics, Hershey: IGI Global, p. 106-112
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2008
"Epistemic Structured Representation for Legal Transcript Analysis"
T. Hughes, C. Hughes, A. Lazar
Springer Netherlands, p. 101-107 -
2006
"Support Vector Machines Optimization - An Income Prediction Study"
A. Lazar, R. Zaremba
IEEE, p. 44-44 -
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
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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
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2002
"<title>Computational framework for modeling the dynamic evolution of large-scale multi-agent organizations</title>"
A. Lazar, R. Reynolds
SPIE, volume 4716, p. 64-76 -
2002
"Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets"
A. Lazar
IGI Global, p. 263-278
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AREAS OF RESEARCH INTEREST
- Machine Learning
- Data Science
- Databases
- Software Engineering
EDUCATION
- Ph.D., Computer Science, Wayne State University, 2002
- BS, Computer Science, Western University of Timisoara, Romania, 1995
EXPERIENCE
- Professor, Dept. of Computer Science & Information Systems, Youngstown State University, 2016 – present
- Visiting faculty at Lawrence Berkeley National Laboratory, 2017
- Associate Professor, Dept. of Computer Science & Information Systems, Youngstown State University, 2008 – 2016
- Assistant Professor, Dept. of Computer Science & Information Systems, Youngstown State University, 2002– 2008