Susanne Still

Education

• Ph.D. 2000 (Physics), ETH Zurich (Swiss Federal Institute of Technology in Zurich)
• M.S. 1995 (Physics) Universität Hannover, Germany
• B.S. 1991 (Physics), Universität Hannover, Germany

Research Interests

High performance computing, parallel and distributed computing, parallel application scheduling, simulation of distributed applications and platforms

Honors/Awards

• PI,”Thermodynamics of agency“, Foundational Questions Institute, 2018, $115,000.
• co-PI,”Foundations of information processing in living systems“, Foundational Questions Institute, 2013, $129,524.

Recent Publications

• A. L. Grimsmo and S. Still (2016) Quantum Predictive Filtering. Phys. Rev. A 94, 012338

Courses

• Fall 2019
  • Sabbatical
• Spring 2019
  • ICS 636: Information Theory in Machine Learning
  • ICS 435: Machine Learning Fundamentals
• Fall 2018:
  • ICS 235: Machine Learning Methods
• Spring 2018
  • ICS 435: Machine Learning Fundamentals
  • ICS 635: Machine Learning
• Fall 2017
  • ICS 101: Tools for the Information Age
  • ICS 435: Machine Learning Fundamentals

Service

• Director: Machine Learning Laboratory (MLL)

Professional Activities

• Organizer: Physics of Adaptive Computation, Manoa Mini-symposium at the University of Hawaii at Manoa. Sponsored by the Computing Community Consortium, Jan. 7, 2019