Professor Pedram Ghamisi
Visiting ProfessorProfile
Following the completion of my Ph.D. in 2015, which primarily focused on developing machine learning solutions for hyperspectral images, my research has expanded across various topics within the interdisciplinary fields of computer vision and remote sensing (i.e., EO), including but not limited to AI for social good and responsible AI in EO, as well as methodological developments with a primary focus on EO. These developments, along with similar attempts from colleagues in the EO community, have shaped a research subfield later known as the AI4EO era in the respective community. This research initiative places a strong emphasis on Open Science and Benchmarking to foster collaborative and transparent practices for the advancement of knowledge in EO and AI.
Research Overview
-
Trustworthy AI for Earth observation
-
Foundation models
-
AI for social good
-
Deep learning and its applications to, e.g., semantic segmentation and scene classification
-
Human-in-the-loop Earth observation data analysis
-
Vision and language for Earth Observation
-
Multisensor and multitemporal data fusion
-
Adversarial attacks and defenses
-
Domain adaptation and transfer learning
-
Weakly supervised learning
-
Change detection
-
Visual question answering
-
Zero- and few-shot learning