Assoc. Prof. (Assoc. Lector) In Applied Data Science And AI
Enschede, Overijssel, Netherlands
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Summary
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Senior
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Beril Sirmacek is an associate professor in applied data science and AI with nine years of experience applying computer vision and deep learning to earth sciences, remote sensing and satellite image processing. He develops predictive models and XAI-driven visualizations to support climate adaptation, urban biodiversity assessment and automated land-use monitoring. A Google Developer Expert in machine learning and active organizer of the School of AI Netherlands, he bridges rigorous academic research with public-facing education including a YouTube channel on AI and climate. His background spans doctoral and postdoctoral work in geoscience, aerospace and remote sensing across European research centers, giving him a strong mathematical and systems-level approach to big-data imaging problems. Notably, he pursues explainability for climate stressors so model outputs are accessible to policymakers and non-technical audiences.
9 years of coding experience
4 years of employment as a software developer
PhD, Electrical Electronics Engineering, PhD, Electrical Electronics Engineering at Yeditepe University
Habilitation, Institute for Geoinformatics and Remote Sensing, Habilitation, Institute for Geoinformatics and Remote Sensing at University of Osnabrueck
BSc, Electronics and Communication Eng., BSc, Electronics and Communication Eng. at Yildiz Technical University
Contributions:41 commits, 40 pushes, 1 branch in 1 year 4 months
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Beril Sirmacek - Assoc. Prof. (Assoc. Lector) In Applied Data Science And AI