Pedram Ghamisi

Prof. Dr. Pedram Ghamisi is a leading academic in artificial intelligence and Earth observation, currently serving as the head of the Machine Learning Group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany, and holding a Visiting Professor position at Lancaster University, UK. His work bridges machine learning with remote sensing, focusing on satellite and aerial imagery analysis.

• Education:
  • M.Sc. (hons.) in Remote Sensing, K. N. Toosi University of Technology (2012)
  • Ph.D. in Electrical and Computer Engineering, University of Iceland (2015)

His research explores advanced machine learning techniques to enhance remote sensing capabilities, including hyperspectral imaging, multisensor data fusion, and efficient labeling for large-scale image segmentation. Recent publications highlight applications of diffusion models, compact convolutional networks, and foundation models in geospatial analysis.

Prof. Ghamisi leads the Machine Learning Group at HZDR, a hub for innovative approaches in resource ecology and Earth observation. He collaborates extensively with researchers like Bing Lu and Danfeng Hong, contributing to multidisciplinary projects in geospatial AI.