T4: Digital Twins for Simulation-based Decision-Making in the Face of Uncertainty
You have heard extensively about digital twins and how they can be applied in a range of domains and for a range of different purposes. Do you need help in understanding how digital twins can be used for decision making requirements of in the context of uncertainty? This introductory tutorial provides you with a detailed understanding of why digital twins are an important technology for exploring the unique phenomena of complex socio-cyber-economic ecosystems. The tutorial presents a critical analysis of the current state of the art and practice of digital twins in decision making and includes a focus on our actor-based language called Enterprise Simulation Language (ESL). This language is an example of an infrastructure for developing these digital twins for complex systems decision making. The tutorial helps you understand how ESL and related technologies can be used effectively by presenting multiple examples of real- world problems. We also touch upon leveraging Generative AI in construction and use of purposive digital twins.
Mon 2 OctDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
08:30 - 10:00
|T4: Digital Twins for Simulation-based Decision-Making in the Face of Uncertainty
Vinay Kulkarni is a Distinguished Chief Scientist at Tata Consultancy Services Research. His research interests include Digital Twins, Adaptive Enterprises, Model Driven Engineering, Artifical 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.
Souvik Barat is Senior Scientist at Tata Consultancy Services Research. He holds a PhD 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.
Tony Clark is a Tony Clark is a Professor of Computer Science and Deputy Dean (Education) 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.
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.