CAASE21 Online Conference Coming in June

NAFEMS Americas and Digital Engineering magazine will hold the second CAASE21 Online Conference on June 16, 2021. The one-day event will feature sessions conducted by representatives from Rolls-Royce, George Mason University, Purdue University, the National Institute of Standards and Technology (NIST), and UT-Austin.

DE and NAFEMS Americas launched the Conference on Advancing Analysis & Simulation in Engineering (CAASE) as a live event in 2018, and followed up with a virtual version of the conference in October 2019. A second live event was planned in Indianapolis for the summer of 2020, but the ongoing COVID-19 pandemic forced organizers to transition to an online conference.

CAASE21 will follow the same format as CAASE19, with the conference available live and online starting at 1 p.m. ET, June 16.

CAASE21 will provide a look at simulation-driven advances in design and product development, with presentations from leading experts and end users. Attendees will learn about the latest trends in engineering analysis and simulation, how industry leaders are using simulation, what lessons they’ve learned along the way and how the industry can democratize simulation to increase adoption.

The schedule includes a keynote session from George Mason University featuring Professor Cing-Dao (Steve) Kan, on the reliability of the obstacle-detection technologies in advanced driver-assistance systems and the challenges remaining to reach full automation. Alexander Karl, Associate Fellow at Rolls-Royce aerospace division, will also be on hand to discuss the use of probabilistic and stochastic methods to account for the variability and uncertainty that might occur during the manufacturing process.

Jakob Hartl, PhD student at Purdue University, will discuss the need for solution verification and quantitative validation metrics to develop trustworthy digital models. At the same time, Lyle E. Levine, Senior Physicist at the National Institute of Standards and Technology (NIST), will outline his organization’s efforts to establish benchmarks and measurement standards to help develop a broad-based additive manufacturing infrastructure. Attendees will also learn about employing physics-based modeling and data-driven learning during the building an unmanned aerial vehicle from Karen E. Willcox, Director of the Oden Institute for Computational Engineering and Sciences at the University of Texas, Austin (UT-Austin).

For more information and to register, visit Digitalengineering247.com/caase21.

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