Professor Teuscher's research goal is to develop disruptive new computing paradigms and machines that will allow for lasting breakthroughs and open new application domains in the next 5-20 years. His team uses an interdisciplinary approach and applies tools from computer science, computer engineering, physics, biology, complex systems science, and cognitive science to the study and the design of next generation computing models and architectures. Dr. Teuscher obtained his M.Sc. and Ph.D. degree in computer science from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2000 and 2004 respectively. In 2004 he became a postdoctoral researcher at the University of California, San Diego (UCSD), in 2005 a distinguished Director's Postdoctoral Fellow at Los Alamos National Laboratory, and in 2007 a Technical Staff Member.
Research Interest and Expertise:
- Non-classical computation
- Biomolecular computation
- Neuromorphic computation
- Thermodynamic computation
- Machine learning and optimization techniques
- Computation with random systems
- Intrinsic computation
- Non-linear dynamical systems
- Complex and adaptive systems and networks
- Large-scale simulations
Courses Taught:
- UNST 134A Life Unlimited?
- UNST 135A Life Unlimited?
- UNST 136A Life Unlimited?
- ECE 510/610 Grad School Essentials
- ECE 485/585 Microprocessor System Design
- ECE 486/586 Computer Architecture
- ECE 558 Embedded Systems Programming
Links to Research Archives:
Education
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PhD
Swiss Federal Institute of Technology, Lausanne (EPFL)