Sun 22 Sep 2024 11:00 - 12:30 at T - The Legend of Zelda - Digital Twin based Support for Complex System of Systems - Session 2
We live in a world replete with complex system of systems that need to operate in a dynamic and uncertain environment thus necessitating continuous adaptation so as to deliver the stated goals which may also change over time. These systems, characterized by large size and non-linear interactions, are spread across spaces such as information-only, cyber-physical, societal, and biological. They raise new concerns to be addressed such as: (i) Why things are the way they are? (ii) What are the right interventions to bring the system back to the desired state? (iii) Is a better state possible? And (iv) How best to reach the desired to-be state from as-is state? With current practice found wanting, we present a digital twin centric simulation-based approach and associated technology that builds further upon proven results from Modelling & simulation, AI, Control Theory, and Software Engineering. We illustrate utility and efficacy of the approach with a representative sample of real world use cases and highlight open challenges that need to be overcome going forward. We also touch upon leveraging Generative AI in supporting Digital Twin life cycle.
Sun 22 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
09:00 - 10:30 | Digital Twin based Support for Complex System of Systems - Session 1Tutorials at T - The Legend of Zelda | ||
09:00 90mTutorial | T3: Digital Twin based Support for Complex System of Systems Tutorials Vinay Kulkarni Tata Consultancy Services Research, Souvik Barat Tata Consultancy Services Research, Tony Clark Aston University, Balbir Barn Middlesex University, UK | ||
11:00 - 12:30 | Digital Twin based Support for Complex System of Systems - Session 2Tutorials at T - The Legend of Zelda | ||
11:00 90mTutorial | T3: Digital Twin based Support for Complex System of Systems Tutorials Vinay Kulkarni Tata Consultancy Services Research, Souvik Barat Tata Consultancy Services Research, Tony Clark Aston University, Balbir Barn Middlesex University, UK | ||
Vinay Kulkarni is a TCS Fellow at Tata Consultancy Services Research. His research interests include Digital Twins, Adaptive Enterprises, Model Driven Engineering, Artificial Intelligence, and Software Engineering. An alumnus of Indian Institute of Technology Madras, Vinay is a Fellow of Indian National Academy of Engineering and Visiting Professor at Aston University Birmingham, Middlesex University London, and Indian Institute of Technology Jodhpur. He can be reached at vinay.vkulkarni@tcs.com.
Souvik Barat is Principal Scientist at Tata Consultancy Services Research. He holds a PhD in Computer Science and his research interests include digital twin technology, modelling and simulation of complex systems, agent and actor technology, enterprise modeling, and business process modelling. His email address is souvik.barat@tcs.com.
Tony Clark is a Professor of Computer Science and APVC in the College of Engineering and Physical Science at Aston University. He has experience of working in both Academia and Industry on a range of software projects and consultancies. His research interests include Digital Twins and Software Engineering, Languages and Modelling for Agent-based Adaptive Systems. His email address is tony.clark@aston.ac.uk.
Balbir Barn is Professor of Software Engineering and Academic Dean of the Faculty of Science and Technology at Middlesex University. Balbir has extensive commercial research experience working in research centres at Texas Instruments and Sterling Software as well as leading on academic funded research (Over £2.5 million). His research interests include socio-technical digital twins, value sensitive design and model driven software engineering. His email address is b.barn@mdx.ac.uk.