About Me

Education:

Pedram Ghamisi graduated with a B.Sc. in civil (survey) engineering from the Tehran South Campus of Azad University. Then, he obtained an M.Sc. degree with first class honors in remote sensing at K. N. Toosi University of Technology in 2012.

He received a Ph.D. in electrical and computer engineering at the University of Iceland, Reykjavik, Iceland in 2015. 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 at the conference among almost 70 people. Then, he 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), Signal Processing in Earth Observation, Munich, Germany from October, 2015. He has also been working as a researcher at German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Germany since October, 2015. He was selected as a Quality Assessor for the evaluation of papers published on journals indexed in either Scopus or ISI WoS for Italian Research assessment.

In 2016, he was selected as \textit{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.

His research interests are in remote sensing and image analysis with a special focus on pattern recognition, optimization approaches and their applications in hyperspectral image analysis, machine learning, deep learning, spectral and spatial techniques for hyperspectral image classification and the integration of LiDAR and hyperspectral data for land cover assessment.

He serves as a reviewer for a number of journals including (but not limited to) IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Pattern Recognition Letters, ISPRS, PERS, Remote Sensing, Neural Computing and Applications, Signal, Image and Video Processing, and International Journal of Remote Sensing.

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