Xavier Guidetti, PhD Candidate
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Xavier Guidetti M.Sc. ETH, Ph.D. Student Address: Phone +41 44 632 8857 |
Brief biography
I have joined the Automatic Control Laboratory as a doctoral candidate in 2019,
under the supervision of Prof. John Lygeros.
Here, I am part of the Industry 4.0 group, whose activities are based on a long-standing collaboration between the Automatic
Control Laboratory and Inspire AG.
Previously, I completed my bachelor's and master's degree at EPFL, majoring in control and mechatronics
Research interests
My research interests include the application of data-driven control techniques to mechatronic and industrial systems.
My work currently focuses on designing Bayesian optimization algorithms that improve the set-up process of advanced manufacturing methods.
At the intersection between control, statistics and machine learning, I investigate parallelized tuning algorithms
that are aware of the available data collection budget.
News
09/2020: I became the organizer of the IfA Coffee Talks seminar series