Research Output per Year
Research Output per Year
Overview
Personal Profile
Monte Lunacek is a senior scientist in the Computational Science Center where he uses high-performance computing, visualization, and data science to improve future mobility. This currently includes working with airports, such as the previous Athena project, working on electric vehicle infrastructure, and researching new ways to grow neural networks efficiently. Monte enjoys sharing his knowledge with the community through various tutorials on data analysis, visualization, and machine learning.
Research Interests
Distributed computing
Machine learning
Data optimization and analysis
Web visualization
Education/Academic Qualification
PhD, Computer Science, Colorado State University
Master, Computer Science, Colorado State University
Bachelor, Applied Mathematics, University of Colorado Colorado Springs
Certificate, Convolutional Neural Networks
Certificate, Neural Networks and Deep Learning
Certificate, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Certificate, Sequences, Time Series, and Prediction
Certificate, Structure Machine Learning Projects
Certificate, Introduction to Big Data Apache Spark
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Data-Driven Simulation-Based Planning for Electric Airport Shuttle Systems: A Real-World Case Study: Article No. 120483
Liu, Z., Wang, Q., Sigler, D., Kotz, A., Kelly, K., Lunacek, M., Phillips, C. & Garikapati, V., 2023, In: Applied Energy. 332, 17 p.Research output: Contribution to journal › Article › peer-review
5 Scopus Citations -
Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach
Menear, K., Nag, A., Perr-Sauer, J., Lunacek, M., Potter, K. & Duplyakin, D., 2023, p. 75-85. 11 p.Research output: Contribution to conference › Paper
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Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach: Preprint
Menear, K., Nag, A., Perr-Sauer, J., Lunacek, M., Potter, K. & Duplyakin, D., 2023. 14 p.Research output: Contribution to conference › Paper
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Situational Awareness of Grid Anomalies (SAGA) for Visual Analytics - Near-Real-Time Cyber-Physical Resiliency Through Machine Learning
Ingram, M., Florita, A., Martin, M., Gruchalla, K., Fang, X., Cai, M., Johnson, G., Guba, N., Hasandka, A., Mooney, M., Lunacek, M., Gilroy, N., Langan, T., Caruso, S., Cruickshank, R., Hodge, B.-M. & Markovic, M., 2023, 81 p.Research output: NREL › Technical Report
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An Empirical Deep Dive into Deep Learning's Driving Dynamics: arXiv:2207.12547 [cs.LG]
Tripp, C., Perr-Sauer, J., Hayne, L. & Lunacek, M., 2022, In: ArXiv.org. 37 p.Research output: Contribution to journal › Article