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

Ph.D., Computer Science, Colorado State University

M.S., Computer Science, Colorado State University

B.S., Applied Mathematics, University of Colorado Colorado Springs

Online certificates in:

• Convolutional Neural Networks 
• Neural Networks and Deep Learning 
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 
• Sequences, Time Series, and Prediction
• Structure Machine Learning Projects
• Introduction to Big Data Apache Spark

Featured Work

A Data-Driven Operational Model for Traffic at Dallas Fort Worth International Airport, Journal of Air Transport Management (2021)

Understanding Biases in Pre-Construction Estimates, The Science of Making Wind from TORQUE (2018)

Transactive Home Energy Management Systems, IEEE Electrification Magazine (2016)

Application of an Evolutionary Algorithm for Parameter Optimization in a Gully Erosion Model, Journal of Environmental Modelling and Software (2016)