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Shirin Ghatrehsamani is an Assistant Professor in the Department of Agricultural and Biological Engineering at Pennsylvania State University. She obtained her Ph.D. in Agricultural Engineering from the University of Florida in December 2019, having previously earned a Master's degree in Mechanical Engineering and a Master's degree in Agricultural Engineering. Her research focuses on Machinery Design, Mechatronics, Robotics, Precision Digital Agriculture, and the use of UAV applications in Agriculture. She has a strong interest in Remote Sensing and Wireless Sensor Networks, as well as the applications of Artificial Intelligence in agriculture. Shirin has held various research and academic positions, including being an Adjunct Faculty at the University of Central Missouri, and she has contributed significantly to the field through her research assistant roles across multiple institutions. She is an active member of professional organizations such as the American Society of Agricultural Biological Engineers and the International Society of Precision Agriculture.
Department of Agricultural and Biological Engineering, PSU • University Park, PA
Teaching and conducting research in Agricultural and Biological Engineering.
Natural Resource School, University of Central Missouri • Warrensburg, MO
Teaching and assisting in curriculum development.
College of Agriculture, Montana State University • Bozeman, MT
Conducting research in agricultural technologies.
University of Missouri • MO
Working as a Field Specialist in Agricultural Technology.
Agricultural Biological Engineering Department, University of Florida • Gainesville, FL
Conducted research and assisted in academic projects.
Mechanical Engineering Department, University of Malaya • Kuala Lumpur, Malaysia
Assisted in various research projects.
Agricultural Engineering Department, Shahrekord University • Shahrekord, Iran
Conducted research related to agriculture.
Iran Khodro Car Factory • Shahrekord, Iran
Provided technical expertise in automotive engineering.
GRE scores are highly recommended but not strictly required for Applied Linguistics.