Dr. Neil Ranly, Assistant Professor of Data Science
Publications
Archival Journal Articles
* Indicates student
R. Everman*, T. Wagner, N. Ranly, and B. Cox, “Aircraft detection from satellite imagery using synthetic data,” Journal of Defense Modeling & Simulation, p. 15485129241309657, Jan. 2025, doi: 10.1177/15485129241309657.
J. H. Yae*, N. C. Skelly*, N. C. Ranly, and P. M. LaCasse, “Leveraging large language models for word sense disambiguation,” Neural Computing & Applications, Dec. 2024, doi: 10.1007/s00521-024-10747-5.
Pre-prints
N. Ranly and T. Wagner, “Rapid Experimentation with Python Considering Optional and Hierarchical Inputs,” 2025, arXiv. doi: 10.48550/ARXIV.2501.03398.
Refereed Conference Proceedings
N. Ranly, K. Binsted, W. Wu, and T. Wagner, “Introduction to the Minitrack on Natural Language Processing and Large Language Models Supporting Data Analytics for System Sciences,” 2025.
N. Ranly, J. Weir, H. Tucholski, and J. Colombi, “Information production planning with multiple information users and aging information products,” in IIE Annual Conference. Proceedings, Institute of Industrial and Systems Engineers (IISE), 2018, pp. 408–413.
Monographs
Dissertation, Methods to Support the Project Selection Problem with Non-Linear Portfolio Objectives, Time Sensitive Objectives, Time Sensitive Resource Constraints, and Modeling Inadequacies