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Foundations of Certification by Analysis: Building Trust in Model-Based Evidence

As certification increasingly relies on modeling and simulation, trust in model-based evidence hinges on rigor, transparency, and demonstrable credibility across the VVUQ lifecycle.

Date: February 26, 2026
Time: 11 AM EST

Venue:
Virtual

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Overview

This webinar establishes the foundations of Certification by Analysis, focusing on credibility, verification, validation, and uncertainty quantification. Attendees will gain a regulator-aligned perspective on how model-based evidence is evaluated, where risks remain, and how industry can responsibly expand reliance on simulation to reduce cost, time, and certification uncertainty.

What Attendees Will Learn

  • How airworthiness authorities interpret Certification by Analysis and why “credibility” is the central challenge
  • The practical role of Verification, Validation, and Uncertainty Quantification (VVUQ) in establishing trust in model-based evidence
  • Key differences between verification vs. validation, and why both are necessary but insufficient without UQ
  • How validation domains are defined and why extrapolation beyond them introduces certification risk
  • Where engineering judgment is required when replacing or reducing physical testing with analysis
  • Why software qualification, data governance, and tool credibility matter in certification decisions
  • Current limitations and weak links in the VVUQ chain, including uncertainty propagation and predictive capability
  • How surrogate AI/ML models are being assessed relative to physics-based models under emerging guidance
  • Practical considerations for expanding reliance on simulation while maintaining regulator confidence and learning assurance

Who Should Attend

  • Certification, airworthiness, and compliance engineers
  • Structures, loads, and durability engineers using advanced simulation
  • Digital engineering and M&S leads supporting certification programs
  • Systems and safety engineers involved in evidence generation
  • Engineering managers responsible for balancing test and analysis strategies
  • Organizations adopting AI/ML surrogate models within certified workflows
  • Regulators, DERs, and ODA participants seeking alignment on CbA expectations

Speakers

  • Patrick Safarian, PhD, Structural Engineer, FAA
  • Wim Doeland, Senior Structures Expert, EASA
  • Brice Segaud, Senior Global Technical Account Manager, Ansys part of Synopsys
  • Matt Ladzinski, Marketing Director, A&D, Ansys part of Synopsys