Dr. Masoud Mahdianpari

Masoud Mahdianpari is currently a Remote Sensing Technical Lead with C-CORE and a cross-appointed professor with the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He received a B.S. degree in surveying and geomatics engineering and an M.Sc. degree in remote sensing engineering from the School of Surveying and Geomatics Engineering, College of Engineering, University of Tehran in 2010 and 2013, respectively. He received a Ph.D. degree in electrical engineering from the Department of Engineering and Applied Science, Memorial University in 2019. In 2019, he was an Ocean Frontier Institute Postdoctoral Fellow with Memorial University and C-CORE. He was a recipient of the Research and Development Corporation Ocean Industries Student Research Award, organized by Newfoundland Industry and Innovation Center in 2016, the T. David Collett Best Industry Paper Award in 2016, the Com-Adv Devices, Inc., Scholarship for Innovation, Creativity, and Entrepreneurship from the Memorial University in 2017, the Artificial Intelligence for Earth Grant organized by Microsoft in 2018, and the Graduate Academic Excellence Award organized by Memorial University in 2019. In 2020, he received the Best Industry Paper Award organized by the IEEE NECEC. His research interests include remote sensing and image analysis, with a special focus on PolSAR image processing, multisensor data classification, machine learning, geo big data, and deep learning.