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TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20260308T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP:20260220T000445Z
UID:E78E6760-B942-4318-A8FE-63BD0D537058
DTSTART;TZID=America/Los_Angeles:20260210T190000
DTEND;TZID=America/Los_Angeles:20260210T210000
DESCRIPTION:This is a hybrid in-person and online event. Pre-registration i
 s required for either.\n\nWhat does it take to engineer a system that must
  run nonstop for years\, without failure\, inside the most hostile environ
 ment imaginable—the human body? In this talk\, Ian Coll McEachern shares
  lessons from two decades designing Class III medical devices\, surgical r
 obotics\, and most notably\, contributing to the architecture and developm
 ent of an artificial heart. Instead of focusing on any single invention\, 
 this talk reveals the methodology behind navigating extreme technical risk
  when dozens of tightly coupled subsystems must evolve simultaneously.\n\n
 Ian will walk through a practical framework for managing complexity: ident
 ifying unknowns early\, building parallel test beds\, using simulation to 
 reduce risk before fabrication\, and validating assumptions through rapid 
 physical prototyping. Attendees will see how constraints—size\, power\, 
 fluids\, mechanics\, biocompatibility\, and reliability—become a forcing
  function for innovation rather than a barrier\, and how disciplined itera
 tion beats brute force engineering every single time.\n\nWhile rooted in l
 ife-critical medical devices\, these principles apply far beyond healthcar
 e. Whether designing robotics\, storage hardware\, automation systems\, or
  high-reliability consumer products\, this presentation will present a fie
 ld-tested roadmap for tackling daunting engineering challenges\, orchestra
 ting cross-domain complexity\, and building systems that must not fail.\n\
 nSpeaker(s): Ian Coll McEachern\n\n925 Thompson Place\, Sunnyvale\, Califo
 rnia\, United States\, 94085\, Virtual: https://events.vtools.ieee.org/m/5
 18440
LOCATION:925 Thompson Place\, Sunnyvale\, California\, United States\, 9408
 5\, Virtual: https://events.vtools.ieee.org/m/518440
ORGANIZER:dmsnyder@ieee.org
SEQUENCE:20
SUMMARY:Designing an Artificial Heart: A Systems Approach to Building the I
 mpossible
URL;VALUE=URI:https://events.vtools.ieee.org/m/518440
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;This is a hybrid in-person and onl
 ine event. Pre-registration is required for either.&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;What 
 does it take to engineer a system that must run nonstop for years\, withou
 t failure\, inside the most hostile environment imaginable&amp;mdash\;the huma
 n body? In this talk\, Ian Coll McEachern shares lessons from two decades 
 designing Class III medical devices\, surgical robotics\, and most notably
 \, contributing to the architecture and development of an artificial heart
 . Instead of focusing on any single invention\, this talk reveals the meth
 odology behind navigating extreme technical risk when dozens of tightly co
 upled subsystems must evolve simultaneously.&lt;/p&gt;\n&lt;p&gt;Ian will walk through
  a practical framework for managing complexity: identifying unknowns early
 \, building parallel test beds\, using simulation to reduce risk before fa
 brication\, and validating assumptions through rapid physical prototyping.
  Attendees will see how constraints&amp;mdash\;size\, power\, fluids\, mechani
 cs\, biocompatibility\, and reliability&amp;mdash\;become a forcing function f
 or innovation rather than a barrier\, and how disciplined iteration beats 
 brute force engineering every single time.&lt;/p&gt;\n&lt;p&gt;While rooted in life-cr
 itical medical devices\, these principles apply far beyond healthcare. Whe
 ther designing robotics\, storage hardware\, automation systems\, or high-
 reliability consumer products\, this presentation will present a field-tes
 ted roadmap for tackling daunting engineering challenges\, orchestrating c
 ross-domain complexity\, and building systems that must not fail.&lt;/p&gt;
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