2025-07-23 –, Main Room 1 (Main stage)
Digital twins have been used to model complex physical systems to predict their behaviour accurately. In this talk, I will present the concept of a hybrid digital twin on the Industrial Metaverse that combines AI/ML based analytics and physics-based simulation to build digital twins that are very accurate, require less training data, and drive high operational efficiency, illustrating how a platform such as JuliaHub can be used to build hybrid digital twins.
Digital twins have been used in various industries such as automotive, aerospace, energy, industrials, high-tech, and healthcare to model complex physical systems and predict its behavior accurately under various scenarios. Digital twins have a physical asset, a virtual model, and a two-way information flow between the physical and virtual worlds using an IOT platform. In this talk I will discuss various challenges and opportunities in building digital twins. One approach to build digital twins is to use data-based analytics and AI/machine learning but this requires lots of training data and the accuracy is limited to the observed data. A second approach to build digital twins is to use physics-based simulation which are very accurate, but they require long computation times to deploy. These simulation runtimes can be accelerated with the use of reduced-order models. I will present the concept of a hybrid digital twin on the Industrial Metaverse that combine AI/ML based analytics and physics-based simulation to build digital twins that are very accurate, require less training data, and drive high operational efficiency. I will illustrate how a platform such as JuliaHub can be used to build hybrid digital twins. I will show how this concept can be applied to building digital twins of semiconductor manufacturing fabs to drive higher yields, faster throughput, lower cost, and higher operating equipment efficiency.
Prith Banerjee is Chief Technology Officer at ANSYS and is responsible for driving the long-term technology strategy of the company. Prior to that, he was CTO of Schneider Electric, CTO of ABB, Managing Director at Accenture, and Director of HP Labs. Previously, he spent 20 years in academia as Professor, Chairman and Dean at the University of Illinois and Northwestern University. In addition, Prith has founded two EDA software companies, Accelchip and Binachip. He has served on the Board of Directors of Cray, CUBIC, and Turntide. He is a Fellow of the AAAS, ACM and IEEE. He received a B.Tech. in electronics engineering from the Indian Institute of Technology, Kharagpur, and an M.S. and Ph.D. in electrical engineering from the University of Illinois, Urbana.