Researcher Within The Field Of Big Earth Observation Data Science
Trentino – Alto Adige/Südtirol, Italy
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Summary
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Michele Claus is a researcher in Big Earth Observation Data Science with eight years of experience applying computer vision and machine learning to environmental problems from a strong electronics and telecom engineering background. He holds an EIT double master's (TU Delft cum laude in Computer Science and UNITN in Telecommunications) and brings hands-on expertise from internships and projects at Bosch, Arcoda, and BLMGROUP, including a CVPR poster on deep video denoising. At Eurac Research he develops scalable EO data pipelines that bridge FPGA/electronics knowledge with modern deep-learning methods for practical environmental applications. Fluent in cross-disciplinary work, he has built mobile-ready 3D mesh and AR positioning pipelines and stays engaged in both academic venues and pragmatic product-oriented research.
9 years of coding experience
1 year of employment as a software developer
Digital Cities and Urban Mobility, Digital Cities and Urban Mobility at EIT Digital Academy
Electrical and Electronics Engineering, Electrical and Electronics Engineering at Technical University Munich
Master Degree in Information and Communication Engineering, 110 L, Master Degree in Information and Communication Engineering, 110 L at Università degli Studi di Trento
Master Degree in Computer Science, Medical Visualization, Cum Laude, Master Degree in Computer Science, Medical Visualization, Cum Laude at Delft University of Technology
Contributions:24 commits, 2 PRs, 32 pushes in 2 years 10 months
denoising
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