The recipient of the IEEE Mikio Takagi Prize, which was awarded for the first place in the Student Paper Competition at the 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, July 2013.

Best Researcher Award for students in K. N. Toosi University of Technology in academic year: 2010-2011.

First Class Honours in MSc (equivalent to GPA of 17 out of 20 or 3.4 out of 4).

Selected as a \textbf{talented international researcher} by Iran's National Elites Foundation.

Winner of the Data Fusion Contest 2017 organized by the Image Analysis and Data Fusion Technical Committee among more than 800 submissions.

Winner of the 2017 Best Reviewer Prize of IEEE Geoscience and Remote Sensing Letters (IEEE GRSL).

IEEE Senior Member.

Winner of the IEEE Geoscience and Remote Sensing Society 2019 Highest Impact Paper Award for the paper "Y. Chen, H. Jiang, C. Li, X. Jia and P. Ghamisi, "Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks," in IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 6232-6251, Oct. 2016".


Sep. 2012 - Jun. 2015

(Iceland) The Icelandic Centre for Research (Rannis) PhD Students at the University of Iceland 9,540,000 ISK (85,000 USD) "Spectral-Spatial Classification of Hyperspectral Images"

Aug. 2013 - Mar. 2014

(Australia) International Postgraduate Research Scholarship (IPRS) PhD Students at the University of Queensland 16,000 USD "Fusion of LiDAR and Hyperspectral Data for Land-Cover Mapping"

Oct. 2015 - Oct. 2017

(Germany) Alexander von Humboldt Fellowship for Postdocs Research fellow at Technical University of Munich (TUM) and Heidelberg University "Multisensor Data Fusion for Land-Cover Mapping"

2017 - 2020

(China) Natural Science Foundation of China (Grant 61771171) External Collaborator "Semantic Segmentation of Big Data in Hyperspectral Remote Sensing"

2020 - 2022

(Germany) Alexander von Humboldt Fellowship for Postdocs Research fellow at Helmholtz-Zentrum Dresden-Rossendorf "LAMINATE: LArge-scale MINeralogical Mapping and Monitoring Using Multisource Remote Sensing Image Analysis and Machine Learning TEchniques"

Jun. 2018 - Jun. 2023

The "High Potential" team leadership program at HZDR on" Boosting Exploration and Supply of Raw Materials using Advanced Machine Learning and Multi-Source Remote Sensing".