Susanne Still
Professor
Office: POST 303F
Tel: 808-956-5816
Email: sstill@hawaii.edu
- Homepage
- Machine Learning Lab (MLL)
- Bibliographies
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