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DTSTART;TZID=Europe/London:20260608T150000
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DESCRIPTION:In the rapidly evolving landscape of autonomous and highly auto
 mated driving\, functional safety serves as the bedrock of public trust an
 d system reliability. Central to this discipline is Hazard Analysis and Ri
 sk Assessment (HARA)\, a rigorous framework designed to systematically ide
 ntify potential malfunctions and evaluate the resulting hazardous events w
 ithin diverse operational scenarios. By examining the interplay between se
 verity\, exposure\, and controllability\, safety engineers derive Automoti
 ve Safety Integrity Levels (ASIL) and establish the foundational safety go
 als required for robust system architecture.\n\nDespite its criticality\, 
 traditional manual HARA processes are increasingly challenged by the compl
 exity of modern vehicular systems. Conventional methods are often marred b
 y inconsistency\, significant time investment\, and limited scalability\, 
 relying heavily on subjective expert judgment. To transcend these limitati
 ons\, we introduce G-Assess—a pioneering automation tool engineered to a
 ugment human expertise. By generating candidate hazards and suggesting dat
 a-driven risk ratings\, G-Assess enhances traceability and accelerates the
  safety analysis lifecycle. This synergy between automated precision and e
 xpert oversight ensures a more consistent\, complete\, and safety-driven d
 esign process for the next generation of mobility.\n\nSpeaker(s): Dr A. Ar
 ab\n\nVirtual: https://events.vtools.ieee.org/m/560475
LOCATION:Virtual: https://events.vtools.ieee.org/m/560475
ORGANIZER:Ibrahim.Kucukdemiral@gcu.ac.uk
SEQUENCE:39
SUMMARY:Webinar: Functional Safety in Autonomous Driving: HARA Fundamentals
  and Practical Automation
URL;VALUE=URI:https://events.vtools.ieee.org/m/560475
X-ALT-DESC:Description: <br /><p style="language: en-IE\; margin-top: 0pt\;
  margin-bottom: 0pt\; margin-left: 0in\; text-align: justify\; text-justif
 y: inter-ideograph\; direction: ltr\; unicode-bidi: embed\; mso-line-break
 -override: none\; word-break: normal\; punctuation-wrap: hanging\;"><span 
 style="font-size: 15.0pt\; font-family: Calibri\; mso-ascii-font-family: C
 alibri\; mso-fareast-font-family: +mn-ea\; mso-bidi-font-family: +mn-cs\; 
 mso-fareast-theme-font: minor-fareast\; mso-bidi-theme-font: minor-bidi\; 
 color: black\; mso-color-index: 1\; mso-font-kerning: 12.0pt\; language: e
 n-US\; font-weight: normal\; font-style: normal\; mso-style-textfill-type:
  solid\; mso-style-textfill-fill-themecolor: text1\; mso-style-textfill-fi
 ll-color: black\; mso-style-textfill-fill-alpha: 100.0%\;">In the rapidly 
 evolving landscape of autonomous and highly automated driving\, functional
  safety serves as the bedrock of public trust and system reliability. Cent
 ral to this discipline is Hazard Analysis and Risk Assessment (HARA)\, a r
 igorous framework designed to systematically identify potential malfunctio
 ns and evaluate the resulting hazardous events within diverse operational 
 scenarios. By examining the interplay between severity\, exposure\, and co
 ntrollability\, safety engineers derive Automotive Safety Integrity Levels
  (ASIL) and establish the foundational safety goals required for robust sy
 stem architecture.</span></p>\n<p style="language: en-IE\; margin-top: 0pt
 \; margin-bottom: 0pt\; margin-left: 0in\; text-align: justify\; text-just
 ify: inter-ideograph\; direction: ltr\; unicode-bidi: embed\; mso-line-bre
 ak-override: none\; word-break: normal\; punctuation-wrap: hanging\;"><spa
 n style="font-size: 15.0pt\; font-family: Calibri\; mso-ascii-font-family:
  Calibri\; mso-fareast-font-family: +mn-ea\; mso-bidi-font-family: +mn-cs\
 ; mso-fareast-theme-font: minor-fareast\; mso-bidi-theme-font: minor-bidi\
 ; color: black\; mso-color-index: 1\; mso-font-kerning: 12.0pt\; language:
  en-US\; font-weight: normal\; font-style: normal\; mso-style-textfill-typ
 e: solid\; mso-style-textfill-fill-themecolor: text1\; mso-style-textfill-
 fill-color: black\; mso-style-textfill-fill-alpha: 100.0%\;">Despite its c
 riticality\, traditional manual HARA processes are increasingly challenged
  by the complexity of modern vehicular systems. Conventional methods are o
 ften marred by inconsistency\, significant time investment\, and limited s
 calability\, relying heavily on subjective expert judgment. To transcend t
 hese limitations\, we introduce G-Assess&mdash\;a pioneering automation to
 ol engineered to augment human expertise. By generating candidate hazards 
 and suggesting data-driven risk ratings\, G-Assess enhances traceability a
 nd accelerates the safety analysis lifecycle. This synergy between automat
 ed precision and expert oversight ensures a more consistent\, complete\, a
 nd safety-driven design process for the next generation of mobility.</span
 ></p>
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