Aaron Hoskins received his bachelor's degree in aerospace engineering (astronautics track) and his master's degree in aerospace engineering, with a concentration on space systems, from the University of Maryland. He received his doctoral degree in industrial engineering, with a concentration on operations research, from Mississippi State University. He worked at the Naval Research Laboratory  in the Naval Center for Space Technology for 10 years before leaving to join academia. He was a tenured professor at California State University, Fresno before joining the faculty at the University of Central Florida.

• Millwee and A. Hoskins, “Optimization of Satellite Formation Reconfiguration”, 2025 IEEE Aerospace Conference, Big Sky, MT, March 2025.


• Hernandez, Kassandra, and Aaron B. Hoskins. "Machine Learning Algorithms Applied to Wildfire Data in California's Central Valley." Trees, Forests and People(2024): 100516.


• Hoskins, “Optimized Observation of an At Launch Unknown Ground Target Within Sensor Field of View”, 2024 IEEE Aerospace Conference, Big Sky, MT, March 2024.

• Hoskins, "Correlation of starting order to final time for bobsled competition at the 2022 Olympic games." Sports Engineering27, no. 1 (2024): 1-6.


• Hoskins, "Calculating expected win percentage of an Indian Premier League team." International Journal of Sports Science & Coaching19, no. 1 (2024): 379-389.


• Hoskins and R. Alvarez, “Initial Orbit Selection for Prioritized Ground Targets Using Coyote Optimization Algorithm” 2023 IEEE Aerospace Conference, Big Sky, MT, March 2023.


• Hoskins, H. Medal, and E. Rashidi, “Optimization of twice-daily direct flyover data collection for satellite observations at uncertain locations”, Advances in Space Research, v. 70, no. 4, pp. 1013–1031, DOI: 10.1016/j.asr.2022.05.071.


• Hoskins, H. Medal, and E. Rashidi, “Satellite Constellation Design for Forest Fire Monitoring via a Stochastic Programming Approach,” Naval Research Logistics, 2018, DOI: 10.1002/nav.21781.