Aaron Hoskins

Aaron Hoskins is an Associate Professor of Mechanical Engineering at California State University, Fresno's Lyles College of Engineering, where he has served since 2018. His expertise bridges aerospace engineering and operations research, with significant contributions to space situational awareness and sports analytics.

His educational background includes:

• PhD in Industrial and Systems Engineering (Operations Research) from Mississippi State University (2017)
• MS in Aerospace Engineering (Space Systems) from the University of Maryland (2005)
• BS in Aerospace Engineering (Astronautical) from the University of Maryland (2003)

Dr. Hoskins' research integrates optimization techniques and machine learning across two primary domains: space systems engineering and sports science. His aerospace work focuses on satellite observation scheduling, orbital mechanics under uncertainty, and space situational awareness using metaheuristics and stochastic programming. In sports analytics, he applies statistical modeling to Olympic bobsled, cricket, and baseball to analyze performance metrics and predict outcomes.

Analysis of his 2020-2024 publications reveals a 60/40 split between aerospace engineering (5 papers) and sports science (3 papers). The aerospace research consistently addresses optimization challenges in satellite operations, particularly concerning uncertain target locations and orbital perturbations, while his sports analytics work demonstrates innovative application of statistical methods to diverse athletic competitions.

Dr. Hoskins actively contributes to professional organizations as a member of the American Institute of Aeronautics and Astronautics (AIAA) and the Institute for Operations Research and the Management Sciences (INFORMS), where he serves as Secretary/Treasurer for the INFORMS SpORts section. His teaching portfolio spans foundational engineering courses to specialized topics including Machine Learning for Mechanical Engineers and Project Management, reflecting his interdisciplinary approach to engineering education.