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Learn how to leverage Cloud CAE to minimize cost, risk, and time-to-market for new MEMS technologies
Abstract:
The MEMS companies spend hundreds of millions of dollars each year prototyping devices that ultimately fail in the marketplace for various reasons: they did not meet critical customer specs, they arrived too late to the market and were uncompetitive, or they were simply too complex to fully fab, package, and assemble into end-products. Cloud computer-aided engineering (CAE) gives engineers the ability to virtually prototype and analyze many device permutations in parallel, explore massive design spaces, quickly find optimal designs, garner design insights that yield new IP, and, ultimately, drive cost, risk, and time-to-market out of the design cycles for new MEMS devices.
Speaker’s Bio:
Ian Campbell is a MEMS and engineering software entrepreneur. Ian began his entrepreneurial career shortly after earning an MS in Aerospace Engineering and MBA from Georgia Tech, when he founded NextInput with his cofounder, Dr. Ryan Diestelhorst. Together, the pair took a new MEMS sensor technology from university level research to smartphone design wins in under four years with less than $20M in VC capital. In 2017, Ian left NextInput to cofound OnScale with an amazing group of numerical scientists, engineers, and software developers. OnScale’s mission is to provide on-demand, scalable Cloud CAE solutions to every engineering team from startups to market-leading enterprises.
Chapter Goal: The “MEMS and Sensors” chapter provides a forum for networking, learning and exchanging ideas in a welcoming professional environment in the San Francisco Bay Area.
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