About Me

Education:

Pedram Ghamisi graduated with a B.Sc. in civil (survey) engineering from the Tehran South Campus of Azad University. He obtained an M.Sc. degree with first class honors in remote sensing at the K.N.Toosi University of Technology in 2012. In 2013/2014, he spent seven months at the School of Geography, Planning and Environmental Management, the University of Queensland, Australia. He received a Ph.D. in electrical and computer engineering at the University of Iceland, Reykjavik in 2015 and subsequently worked as a postdoctoral research fellow at the University of Iceland. In 2015, Dr. Ghamisi won the prestigious ``Alexander von Humboldt Fellowship" and started his work as a postdoctoral research fellow at Technical University of Munich (TUM) and Heidelberg University, Germany from October 2015. He also worked as a researcher at German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Germany from October 2015 to October 2017. He worked as a research scientist at DLR, Remote Sensing Technology Institute (IMF), Germany from October 2017 to May 2018. In 2018, Dr. Ghamisi won the prestigious ``High Potential Program" program and started his work as the head of the machine learning group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR).

His research interests are in remote sensing and image analysis, with a special focus on spectral and spatial techniques for hyperspectral image classification and multisensor data fusion by considering image and signal processing methods as well as machine (deep) learning techniques. He serves as Guest Editor for several high-quality journals, including (but not limited to) ISPRS and MDPI. He is the Associate Editor of Remote Sensing - MDPI.

In the academic year 2010-2011, he received the Best Researcher Award for M.Sc. students in K. N. Toosi University of Technology. At the 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, July 2013, Dr. Ghamisi was awarded the IEEE Mikio Takagi Prize for winning the Student Paper Competition, competing with almost 70 submissions. In 2016, he was selected as the talented international researcher by Iran's National Elites Foundation. In 2017, he won the Data Fusion Contest 2017 organized by the Image Analysis and Data Fusion Technical Committee (IADF) of the Geoscience and Remote Sensing Society (IEEE-GRSS). His model was the most accurate among more than 800 submissions. He was also the winner of the 2017 Best Reviewer Prize of IEEE Geoscience and Remote Sensing Letters (GRSL). In 2018, he was promoted to be a senior member of IEEE.

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