Marco Todescato
Team Leader at Fraunhofer Italia - IEC
Veneto, Italy
Summary
👤
Senior🎓
Top SchoolMarco Todescato is a team leader and senior scientist with eight years of experience at the intersection of AI and robotics, currently leading research efforts at Fraunhofer Italia after roles at Bosch Center for AI and the University of Padova. He holds a Ph.D. in Automatic Control Engineering and built a research trajectory in distributed optimization, estimation and efficient Gaussian process regression applied to large-scale networked systems and smart grids. Over multiple visiting scholar stints at top institutions (MIT, ETH, UCLA, UCSB, MPI Tübingen) he translated theoretical control and estimation methods into practical robotics and power-system applications. His recent focus shifted toward deep computer vision and robot learning for manipulation, combining rigorous control foundations with applied AI to bridge perception and real-time control. Colleagues describe him as a curious, collaborative researcher who pairs strong academic publication record with hands-on engineering to move prototypes toward deployable systems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Automatic Control Engineering, Doctor of Philosophy (Ph.D.), Automatic Control Engineering at Università degli Studi di Padova
English, Italian, German
Stackoverflow
31reputation
4kreached
0answers
3questions
Github Skills (10)
rendering9
physics9
json6
npm6
neutronium6
nodejs6
rust6
mongodb6
electron6
rocket6
Programming languages (2)
Github contributions (4)
boschresearch/amira_blender_rendering
Sep 2019 - Sep 2021
Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
Contributions:15 reviews, 446 commits, 28 PRs in 2 years
physicsphotorealistic-based-renderingphotorealisticboschrendering
MarcoTodescato/Efficient-GP-Regression-via-Kalman-Filtering
Apr 2018 - May 2018
Contributions:11 commits, 8 pushes in 1 month
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