Dr Peter Waegli has always used mathematical modelling and simulation to solve problems. He has found that the process of developing computational (physics) models is often the key to understanding the basics governing a physics or engineering problem at hand and hence to its solution. Such model building often starts from "back-of-the envelop" calculations and ends with comprehensive analytical and/or numerical models. It is of high importance that the tool used, supports such an approach and does not impose adoption of a specific-problem solving philosophy.
Over many years of successfully developing and using computational models, Dr Waegli has used programming languages like Fortran and Visual Basic and excellent programs such as Maple® and Mathematica®, but has found that often Excel supports the process from simple calculations to sophisticated models best. In addition, it much simplifies the exchange of simulations with clients and fellow researchers. Many of the applications described under "Development Projects" are hence based on Excel models.
In his own projects Dr Waegli is currently exploring new ideas and new simulation approaches in three areas:
(I) Developing computational physics models using affordable and ubiquitous tools.
(II) Designing computationally efficient algorithms and models for tiny systems (tiny AI).
(III) Exploring new ideas and opportunities in optical, analogue and neuromorphic computing.