1. Jeff Wilson is a Product Management Director for DFM applications in the Calibre Design solutions organization at Siemens Digital Industries Software. Before joining Siemens, Jeff worked at Motorola and SCS. He holds a B.Sc. in design engineering from Brigham Young University and an MBA from the University of Oregon.
    Expert Insight Improved power management and faster time to market?

    We have the technology. Learn how to ‘shift left’ with Calibre DesignEnhancer and meet IR, EM and PPA objectives.

  2. Article Refreshing the IEEE 1687 IJTAG family for today’s designs
  3. Article Six reasons why you need better cross-platform validation of OASIS layout database generation


  1. Matthew Welsh, Siemens DIS
    Expert Insight Welcome to the part model era

    Standards-based digital threads will revolutionize design through part models that deliver trust, traceability and context across components.

  2. Article Putting it all together to accelerate 3D IC design
  3. Expert Insight A three-phase strategy to master the supply chain tsunami


  1. Nebabie Kebebew is a senior product manager at Siemens EDA.
    Expert Insight How to migrate SoC design to the cloud

    Moving part of all of a design flow to the cloud involves careful preparation and evaluation as there is no ‘one-size-fits-all’.

  2. Expert Insight Give the people what they want: toward making 3D IC mainstream
  3. Article Formal verification for SystemC/C++ designs


  1. Jeff Hancock is a Senior Product Manager in the Embedded Platform Technology Business Unit of Mentor, A Siemens Business. He oversees the Nucleus and Mentor Embedded Hypervisor runtime product lines, as well as associated middleware and professional services.
    Expert Insight Keeping up with rapid innovation in cockpit domain controllers

    Automotive cockpit design is being driven forward by prevailing trends in the wider market.

  2. Expert Insight Use digitalization to mitigate the automotive MCU shortage
  3. Expert Insight Implementing medical device security for optimal outcomes



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