IEEE EMBS Webinar: Predictive Engineering from Deterministic to Stochastic Modeling to Develop Compelling New Products

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Webinar featuring Predictive Engineering.

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  • embs.phx@ieee.org

  • Starts 11 September 2020 01:30 PM
  • Ends 23 September 2020 06:00 PM
  • All times are US/Arizona
  • No Admission Charge
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  Speakers

Dr. Eric Maass of Medtronic Restorative Therapy Group

Topic:

Predictive Engineering from Deterministic to Stochastic Modeling to Develop Compelling New Products

Biography:

Eric Maass is Senior Director for DFSS/DRM for Medtronic Restorative Therapy Group.  Eric is responsible for developing and leading the DRM strategic plan and focus for most of the company and has been the chief architect for Medtronic’s DFSS/DRM BB and MBB programs.  Eric was recognized with Medtronic’s individual Star of Excellence award for 2012 and has been recognized as a Medtronic Technical Fellow.  He is also a Life Senior Member of IEEE. 

Eric joined Medtronic in October 2009, after 30 years with Motorola in roles ranging from Research and Development through Manufacturing, to Director of Operations for a $160 Million business and Director of Design and Systems Engineering for the Wireless group of Motorola SPS. 

Eric was a co-founder of the Six Sigma methods at Motorola and had been the Lead Master Black Belt for DFSS at Motorola.  His book, Applying DFSS to Software and Hardware Systems, provides clear step-by-step guidance on applying DFSS for developing innovative and compelling new products and technologies, while managing the business, schedule and technical risks. 

 Eric received his Bachelor’s degree in Biological Sciences from the University of Maryland Baltimore County, his Master’s degree in Biomedical and Chemical Engineering from Arizona State University and his PhD in Industrial and Systems Engineering from Arizona State University.  Dr Maass also currently serves as an Adjunct Professor at Arizona State University, and as chairman of the Industrial Advisory Board for the NSF-Sponsored B.R.A.I.N Industry/University collaborative research consortium.

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