معرفی
Sara Masoud is an Assistant Professor in the Department of Industrial and Systems Engineering at Wayne State University, specializing in mixed reality, machine learning, and dynamic data-driven systems. Her research spans agro-industry, transportation, healthcare, and smart manufacturing.
- Ph.D. in Systems and Industrial Engineering, University of Arizona (2019)
- M.S. in Statistics, University of Arizona (2019)
- B.Sc. in Industrial Engineering, Sharif University of Technology (2014)
Her research integrates virtual reality (VR), augmented reality (AR), and applied machine learning to address challenges in autonomous vehicles, hazardous materials transportation, and environmental monitoring. Recent work includes PM2.5 forecasting using sensor networks and robotics applications in manufacturing.
Her publications examine spatiotemporal modeling, human-robot collaboration, and healthcare analytics. Awards include the 2025 Excellence in Teaching Award and multiple IISE Best Paper recognitions (2019-2021). She leads the Smart Immersive Modeling Laboratory.
- Excellence in Teaching Award, Wayne State University, 2025
- IISE Best Paper Award, Data Analytics Track, 2019
- Outstanding Research Assistant, University of Arizona, 2019
- IISE Conference Finalist, 2018
