Dr. Alisa Rupenyan-Vasileva

Arbeit an der ZHAW

Tätigkeit

• Leitung Industrial AI group
• Leitung Industrial AI group

Arbeits- und Forschungsschwerpunkte

Industrial AI, Automation of manufacturing systems, robotics, process optimization

Lehrtätigkeit

• CAS Machine Intelligence - Machine learning module
• Machine Learning and Data Mining
• Artificial Intelligence I

Berufserfahrung

• Senior scientist, Automatic control laboratory
  ETH Zurich
  08 / 2020 - 07 / 2023
• Group leader, Automation and control group
  inspire AG
  02 / 2018 - 07 / 2023
• Head of Application Development
  Qualysense AG
  01 / 2014 - 09 / 2017
• Postdoctoral fellow (ETH fellow on individual grant)
  ETH Zurich
  01 / 2011 - 09 / 2013
• Postdoctoral researcher
  University of Amsterdam
  01 / 2010 - 12 / 2010

Aus- und Weiterbildung

Ausbildung

• PhD / Physics
  Vrije Universiteit Amsterdam, The Netherlands
  01 / 2005 - 12 / 2009
• MSc / Laser physics and optics
  Sofia University, Bulgaria
  10 / 2004 - 12 / 2005
• BSc / Engineering Physics
  Sofia University, Bulgaria
  10 / 1999 - 12 / 2004

Netzwerk

Mitglied in Netzwerken

• International Federation for Automatic Control - Industry Committee
• Swiss Informatics Society
• IEEE member
• Innosuisse (innovation expert)
• NCCR Automation

ORCID digital identifier

ORCID ID: 0000-0002-2170-8564

Projekte

• Continuous optimization and control for advanced manufacturing / Projektleiter:in / laufend
• Digital Manufacturing as a Service Technology / Projektleiter:in / laufend
• Smarte Grünanlagen / Teammitglied / laufend
• Intelligent planning for robot-based manufacturing / Projektleiter:in / laufend

Publikationen

• König, Christopher; Ozols, Miks; Makarova, Anastasia; Balta, Efe C.; Krause, Andreas; Rupenyan-Vasileva, Alisa,

  2023.

  Safe risk-averse bayesian optimization for controller tuning.

  IEEE Robotics and Automation Letters.

  Verfügbar unter: https://doi.org/10.1109/LRA.2023.3325991

• Kavas, Barış; Balta, Efe C.; Tucker, Michael; Rupenyan, Alisa; Lygeros, John; Bambach, Markus,

  2023.

  Layer-to-layer closed-loop feedback control application for inter-layer temperature stabilization in laser powder bed fusion.

  Additive Manufacturing.

  78(103847).

  Verfügbar unter: https://doi.org/10.1016/j.addma.2023.103847

• Rupenyan, Alisa; Balta, Efe C.,

  2023.

  Robotics and manufacturing automation

  .

  In:

  The impact of automatic control research on industrial innovation : enabling a sustainable future.

  Wiley.

  S. 169-189.

Publikationen vor Tätigkeit an der ZHAW

An up-to-date list of publications can be found on Google Scholar.

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