What if we could develop the next-generation of cyber-physical systems with all the bells and whistles faster and more cost-effectively than the previous, while still ensuring that they work correctly? Well, the truth is that industrial cyber-physical systems, such as lithography machines, x-ray machines, production printers, radars, and cars, are getting increasingly complex and difficult to efficiently design, implement, and evolve. Addressing this complexity through new design methodologies has been the common denominator throughout my research career, spanning almost two decades and including both fundamental research in academia and applied research in the Dutch high-tech systems industry. I believe that model-based design methodologies are key to addressing complexity and have many years of experience modelling hardware and software at different levels of abstraction and in a variety of formalisms and use them to generate artifacts, such as code or documentation, or analyze and optimize non-functional properties of systems, such as timing behavior or energy consumption. I enjoy the puzzle of looking at industry challenges, and defining and leading the research needed to address them through a combination of fundamental and applied research projects and programs. I also love working with people and organizations to sustainably embed the developed knowledge and technology, both in industry and academia, turning research results into impact and managing complexity step by step.
Listed skills include Embedded Systems, Algorithms, Latex, Simulations, and 30 others.