Alisa Rupenyan
I’m excited about interdisciplinary research connecting machine learning and control theory, and opportunities for impact in major application domains.
Alisa Rupenyan is a senior scientist at the Automatic Control Lab at ETH Zurich and Head of the Advanced Control and IoT group at Inspire, the technology transfer organization at ETH Zurich. She leads research projects in the intersection between process optimization, industrial control, and machine learning for applications strongly connected to manufacturing.
Previously, she led the application development in the Zurich-based startup Qualysense AG for fast grain-sorting robots using machine learning techniques for high-dimensional data. Her Ph.D. is in the field of time-resolved laser spectroscopy from the Vrije Universteit Amsterdam (2009) and her MSc degree is in Laser Physics from the University of Sofia.