It is our pleasure to welcome Dr. Daniel Lehner as invited speaker in our CAS 782 Engineering Digital Twins course.
As IT consultant and trainer at TwinTech, Dr Daniel Lehner works with organizations from different domains to efficiently realize the potentials of digitalization through modern IoT architectures. His goal is to meet organizations at their current state, and leverage maximum innovation potential from existing resources through targeted strategies and trainings.
In 2025, he received his PhD in business informatics from Johannes Kepler University in Linz, supervised by Professor Manuel Wimmer and Professor Andreas Wortmann. He is the co-organizer of EDT.Community, a hub for digital twin experts from industry and academia to share results and exchange ideas. Currently, Dr Lehner is also heading two research projects as part of the European Digital Innovation Hub AI5Production. His research interests include the efficient modeling of digital twins leveraging variability management and demonstrating the benefits of applying digital twins in an industrial context.
Details of the lecture below.
Title and abstract
Digital twins as key enabler for innovation in IoT systems – and how scientists can help
From predictive maintenance to self-adaptive production systems – advances in artificial intelligence and the internet of things result in enormous potentials for innovating and optimizing existing processes and business models. However, without necessary expert knowledge, realizing and implementing these innovations requires a significant investment of time and money – which stands in contrast to the fast-paced environment that most modern organizations are operating in.
In this talk, I will discuss how organizations can leverage the power of digital twins as competitive advantage to efficiently optimize their IoT systems. I will also present specific use cases that showcase the potentials of using artificial intelligence to make IoT systems better and smarter, and propose how we as scientists can help organizations realize these potentials by better aligning our work as scientists with current industrial challenges.
Date and time
March 13 (Thursday) at 2:30PM ET.
Location/format
Online. The lecture is open for:
– students enrolled in CAS 782 (you receive a link to a Zoom call on Avenue);
– anyone else upon prior coordination (please reach out to me via my university email).