On Thursday 2 July High Tech Systems Center organized the online Research Meet 'Systems Engineering and Beyond'. In this online Research Meet, we have updated you on developments at TU/e regarding Systems Engineering, Digital Engineering and Artificial Intelligence. Each of the terms may sound familiar to you, at the High Tech Systems Center we believe they are strongly connected and together will be at the basis of improved ways of working for the development of high-tech systems.
Please find below the abstracts and the presentations.
Systems Engineering and System Thinking
Systems Engineering (SE) has been a key element of the strategy of HTSC since the center was officially kicked off in early 2015. We have identified that SE, in addition to multi-disciplinary working, is required to deal with the challenges inherent in the development and realization of technical systems of increasing complexity. An important element of SE is systems thinking, a skill required to solve problems in complex systems. In high-tech equipment development, we use a special flavor of SE that has evolved over decades in our ecosystem and enabled us to develop the world’s most complex equipment. This presentation will discuss aspects of our special flavor of SE, challenges of the current state-of-practice and how HTSC intends to train and further improve the SE way-of-working, equipping future engineers with important skills to deal with increasing complexity.
Ton Peijnenburg, email@example.com
Fellow TU/e HTSC and Deputy General Manager VDL-ETG
In high tech systems engineering, the collaboration between data and models of various disciplines is crucial. In current engineering practice, silos of computerization are present by a variety of tools. The transfer of tooling results, the cross-disciplinary and cross-paradigm interaction between models and the interpretation and feedback of data generated by virtualized or operational systems are largely left to human intervention. Digital engineering will further improve the efficiency of engineering processes. It in addition enables the application of Artificial Intelligence (AI) to support engineering processes (AI4SE) and to develop next generation systems (SE4AI). However, where humans are very flexible in the interpretation of languages, computers are not. This presentation will address how this further digitalization of multi-disciplinary engineering processes will impact systems engineering.
Marc Hamilton, firstname.lastname@example.org
Fellow TU/e HTSC and MDE Expert at Altran Netherlands
AI in Engineering
Recent developments in the field of Artificial Intelligence led to a new mature technology called ‘deep learning’. Deep learning is a combination of big data, supercomputing and algorithm innovations. The technology had many breakthroughs by outperforming human experts in areas such as vision, speech recognition and game play. This presentation explores the possibilities of AI for engineering. AI seems a new tool for the engineer to deal with the ever growing engineering design challenges on precision, productivity and intelligence. However, many barriers need to be taken before the engineer can start applying AI.
Albert van Breemen, email@example.com
AI progam manager TU/e HTSC and EAISI
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