Maseeh Professor, Electrical and Computer Engineering
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.
Professor Teuscher's expertise and research interests include:
- 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
See Professor Teuscher's LinkedIn page.
See faculty academic profile.
View their published research.