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个人简介
Alisa Rupenyan (Member, IEEE) received the B.Sc. degree in engineering physics and M.Sc. degree in laser physics from the University of Sofia, Sofia, Bulgaria, in 2004 and 2005, respectively, and the Ph.D. degree from the Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Between 2011 and 2014, she was a Postdoctoral Fellow with ETH Zürich, Zürich, Switzerland, and between 2014 and 2018, a Lead Scientist in a robotic start-up. She is currently a Group Leader in Automation with inspire AG, the technology transfer unit at ETH Zürich, and a Senior Scientist and PI with the Automatic Control Laboratory, ETH Zurich. Her research interests include the intersection between machine learning, control, and optimization for industrial applications and robotics, especially in Bayesian methods applied for optimization and control, and learning-based control.
Dr. Rupenyan is a member of the IEEE Robotics and Automation Society where she is on the technical committee for model-based optimization in robotics, and a member of the IFAC Industry Committee.
研究兴趣
论文共 65 篇作者统计合作学者相似作者
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arxiv(2024)
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Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel,Alisa Rupenyan,Efe C. Balta,John Lygeros
arxiv(2024)
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arxiv(2024)
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CONTROL ENGINEERING PRACTICE (2024)
EPJ Web of Conferences (2023): 13014-13014
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JOURNAL OF THERMAL SPRAY TECHNOLOGY (2023)
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