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    Sepideh Kia

    Image processing ( Computer vision, Deep learning)

    Sepideh Kia is a Geoinformation Science expert with a strong background in Earth Observation. She holds a Master of Science degree from the University of Twente specializing in Geoinformatics. Her research thesis focused on using scale-space methods for tree detection in high-resolution SAR data.

    With a blend of academic and industry experience, Sepideh excels in developing innovative techniques for data collection, analysis, and visualization. She is adept at leveraging image processing methods such as computer vision and deep learning for various applications.

    Having a penchant for collaboration, Sepideh is known for her multidisciplinary approach towards tasks to enhance her skills. She has a keen interest in algorithm development, data science, image processing, machine learning, artificial intelligence, computer vision, spatial data quality, uncertainty analysis, and big data with spatial/temporal statistics.

    Sepideh's educational background includes a Bachelor's degree in Engineering from the University of Tabriz and additional studies in Mathematics and Physics at the Nuclear Science and Technology Research Institute (NSTRI). She has held various roles in organizations like Ordina, where she worked as a Junior Technical Consultant and IT Development Engineer, and Andishab, where she served as an Engineer. Sepideh has also been a Visiting Scientist at the University of Tabriz.

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    Location

    Netherlands