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Lyles College of Engineering

Aaron Hoskins

Associate Professor

Mechanical Engineering

ahoskins@csufresno.edu

Education

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

Courses Taught

  • ENGR1 Introduction to Engineering
  • ENGR 200 Seminar in Engineering
  • ME 2 Computer Applications in Mechanical Engineering
  • ME 125 Engineering Statistics and Experimentation
  • ME 140 Advanced Engineering Analysis
  • ME 191T Applied Simulation Modeling
  • ME 215 Design Optimization of Engineering Systems
  • ME291T Machine Learning for Mechanical Engineers
  • ME 291T Project Management

Dr. Aaron Hoskins joined the Department of Mechanical Engineering in 2018. He holds a Ph.D. in Industrial and Systems Engineering from Mississippi State University. Before joining Fresno State, Dr. Hoskins worked at the United States Naval Research University in the Naval Center for Space Technology. His research interests lie in the areas of space situational awareness (SSA), operationally responsive space (ORS), applications of optimization and machine learning, and sports analytics.
  • Space Situational Awareness
  • Operationally Responsive Space
  • Metaheuristics
  • Stochastic Programming
  • Machine Learning
  • Sports Analytics

Journal Papers since 2018

  • 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, Aaron B. "Correlation of starting order to final time for bobsled competition at the 2022 Olympic games." Sports Engineering27, no. 1 (2024): 1-6.
  • Hoskins, Aaron B. "Calculating expected win percentage of an Indian Premier League team." International Journal of Sports Science & Coaching19, no. 1 (2024): 379-389.
  • Hoskins, Aaron B., Hugh R. Medal, and Eghbal Rashidi. "Optimization of twice-daily direct flyover data collection for satellite observations at uncertain locations." Advances in Space Research70, no. 4 (2022): 1013-1031.

Conference Papers since 2018

  • 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, “Discrepancies Between Reported Knuckleball Spin Rates and Dynamics” 12th International Conference on Mathematical Modeling in Physical Science, Belgrade, Serbia, August 2023.
  • 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, “Direct Flyover of a Target of Interest with Consideration of J2 Perturbations”, Proc. 2020 AAS/AIAA Astrodynamics Specialist Conference, South Lake Tahoe, CA, August 2020.

Conference Presentations since 2018

  • “Knuckleball Spin Rates Analysis”, INFORMS Annual Meeting 2022, Indianapolis, IN. October 2022.
  • “Determining Expected Win Percentage in the Indian Premier League”, INFORMS Annual Meeting 2021, Anaheim, CA. October 2021.
  • “Twice Daily Satellite Flyover For Data Collection”, INFORMS Annual Meeting 2020, Washington, DC (Virtual). November 2020.
  • “Evaluating College EDGE Rushers”, Rocky Mountain Sports Analytics Symposium, Denver, CO, August 2019.
  • “Wildland Fire Evacuation”, FireTech 2019, Stillwater, OK, April 2019.

Professional Membership

  • American Institute of Aeronautics and Astronautics (AIAA), Member
  • Institute for Operations Research and the Management Sciences (INFORMS), Member
  • INFORMS SpORts, Secretary/Treasurer