Michele Berno Email & Phone Number | Experienced software engineer with expertise in computer vision, mathematical optimization, and system calibration. Skilled in multi-threading, GPU-accelerated applications (OpenMP and CUDA), and resolving critical issues in time-critical complex production environments (also on-premise). A strong supporter of collaborative workplaces and information sharing. Conducted research on distributed optimization and control strategies for green edge-computing networks, leveraging machine learning-based insights. Contributed to prototypes for anomaly detection in vehicular traffic networks (Bayesian networks) and predictive maintenance for amusement park machines (Hebbian learning). Holds a Ph.D. in Information Engineering from the University of Padova, with a strong background in Telecommunication (M.Sc.). Visiting Researcher at the Computer Science Department of the Saint Louis University. Proficient in C++, Python, and Matlab. Received multiple awards for technical work presented at international conferences. #UniPD #Mathematical Optimization #Machine Learning #Edge-Computing #Software Engineering

Michele Berno

Experienced software engineer with expertise in computer vision, mathematical optimization, and syst...
Eindhoven, Eindhoven, Netherlands

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Michele Berno’s Email michele.berno@asml.com

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Michele Berno’s Location Eindhoven, Eindhoven, Netherlands

Michele Berno’s Current Industry Asml

Michele Berno’s Prior Industry Microtec Innovating Wood | Mymenu | University Of Padova

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Michele Berno is a Experienced software engineer with expertise in computer vision, mathematical optimization, and system calibration. Skilled in multi-threading, GPU-accelerated applications (OpenMP and CUDA), and resolving critical issues in time-critical complex production environments (also on-premise). A strong supporter of collaborative workplaces and information sharing. Conducted research on distributed optimization and control strategies for green edge-computing networks, leveraging machine learning-based insights. Contributed to prototypes for anomaly detection in vehicular traffic networks (Bayesian networks) and predictive maintenance for amusement park machines (Hebbian learning). Holds a Ph.D. in Information Engineering from the University of Padova, with a strong background in Telecommunication (M.Sc.). Visiting Researcher at the Computer Science Department of the Saint Louis University. Proficient in C++, Python, and Matlab. Received multiple awards for technical work presented at international conferences. #UniPD #Mathematical Optimization #Machine Learning #Edge-Computing #Software Engineering