Understanding physics and physical phenomena of complex challenge is critical to designing efficient and economical systems. Engineering challenges involved in such systems however are often complex and involve multi-physics coupling at multiple scales ranging in several orders (nano-, micro-, to meters) of magnitude. Latest advancement in computational and data-driven technologies (such as domain specific multi-physics tools, exascale computing, Machine Learning, Uncertainty Quantification, Scalable & Portable Libraries) and Supercomputing interfaces/infrastructures (such as HPC/GPU, MPI-X, Cloud computing, Kubernetes/Docker) promises novel ways to address intricate issues of complex systems. Latest and future computing technologies can in fact provide needed number-crunching resources to advanced Modeling & Simulations (M&&) researchers and developer for in-depth high-fidelity investigations of complex systems, resulting in better-faster-cheaper designs.
Advanced M&S is a backbone of many automation technologies and engineering/medical devices (e.g. robotics, autonomous vehicles, ventilators, precision drug-delivery or health care -- just to name a few). We anticipate that the need for M&S researchers and engineers will grow significantly post Covid-19. The purpose of the Advanced Modeling and Simulations seminar series is to bring together renowned administrators, scientists, researchers, engineers, entrepreneurs, and visionary from a wide spectrum of advanced M&S domains and scale-up the knowledge transmission. Hosted via virtual medium (Zooms, Microsoft Teams/Skype, Google Meet, Facebook Messengers -- we have become very familiar with these during Covid-19 lockdown!), the talks (followed by extensive Q&As) from outstanding speakers will not only provide information about cutting-edge and novel research projected to serve the community in the coming decades but will also hopefully generate Sputnik era passion post Covid-19 among millennials in advanced M&S and STEM fields.