Efficient safe learning for controller- and process parameter tuning
YJialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros, NeurIPS, 2024
CV
Education
- Ph.D in Physics, Vrije Universiteit Amsterdam, 2009
- M.S. in Laser Physics and Optics, Sofia University, 2005
- B.S. in Engineering Physics, Sofia University, 2003
Work experience
- September 2023: Rieter Endowed Professor for Industrial AI
- ZHAW University, Center for AI
- February 2018 - August 2023: Group Leader, Advanced Control and Automation
- Inspire AG (Research institute for technology transfer strongly linked to ETH Zurich)
- August 2021 - August 2023: Senior Scientist
- Automatic Control Laboratory, ETH Zurich
- January 2014 - August 2017: Head of Application Development
- Qualysense AG, Zurich
- March 2011 - September 2013: Postdoctoral fellow (ETH fellow on individual granf)
- Laboraotry for Ultrafast Spectroscopy and Attosecond Science, ETH Zurich
- January 2010 - January 2011: Postdoctoral researcher
- Van’t Hoff Institute for Molecular Science, University of Amsterdam
Publications
Time-varying safe data-driven optimization
YJialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros, NeurIPS, 2024
Robotics and Manufacturing Application
Alisa Rupenyan, Efe C. Balta (2024). "Robotics and Manufacturing Application." The Impact of Automatic Control Research on Industrial Innovation: Enabling a Sustainable Future, John Wiley & Sons, 2024.
Safe risk-averse bayesian optimization for controller tuning
Christopher König, Miks Ozols, Anastasia Makarova, Efe C Balta, Andreas Krause, Alisa Rupenyan (2023). "Safe risk-averse bayesian optimization for controller tuning." IEEE Robotics and Automation Letters. 8(8208 - 8215).
Talks
Keynote, Flexible automation for manufacturing tasks
Plenary Keynote at Innovation Booster Robotics, AI in Robotics, Rotkreuz, Switzerland
Workshop Control meets Practice in Advanced Manufacturing
Debate moderation at IEEE CASE 2024, Bari, Italy
Panel, Automatic Control Horizon: Roadmap and Industrial Innovation
Panel at European Control Conference 2024, Stockholm, Sweden
Keynote, Bayesian optimization algorithms for optimization in manufacturing
Talk at European Control Conference, Workshop Bayesian optimization meets control, Stockholm, Sweden
Plenary, Data-driven optimization and control in advanced manufacturing
Plenary Keynote at Benelux meeting on Systems and Control, Blankenberge, Belgium
Keynote, Data-driven optimization for manufacturing applications
Plenary at Swiss Technology Days, 2024, Dubendorf, Switzerland
Teaching
Service and leadership
Associate editor for Control Engineering Practice (a journal of IFAC, the International Federation of Automatic Control)
Executive member of the IFAC Industry Committee