IEEE Boston Reliability

"From Expert Judgement to AI: Knowledge Graph Approach to Failure Mode and Effects Analysis (FMEA)"
Presentation tomorrow (Wednesday) at MIT Lincoln Laboratory
Registration is free, but required, so that we can plan refreshments.
Details are on the registration page:
https://events.vtools.ieee.org/m/549848

This event is open to IEEE and non-IEEE members.

Please click the link above today, before registration closes.

Complete abstract and bio are on the registration page.
Portions are pasted below.

Failure Mode and Effects Analysis (FMEA) is a foundational method in reliability engineering for identifying potential failures, assessing their impacts, and guiding risk mitigation
This presentation explores a knowledge-graph–based framework that extends traditional FMEA into a knowledge reasoning system.
By combining established FMEA practices with knowledge graphs and AI reasoning, this approach aims to enhance the depth, speed, and adaptability of reliability analysis.

Mason Pishahang, PhD
Design for Safety and Reliability (DfSR) Regional Lead for North America
Schneider Electric
Collaborates with engineering teams to ensure that products and systems are designed to meet rigorous standards of safety and reliability
Work focuses on the development of tools and analytical frameworks aimed at improving the safety and reliability of complex engineering systems through the application of artificial intelligence and data-driven methodologies.
Master of Science degrees in Mining Engineering and Mechanical Engineering
M.S. and Ph.D. degrees in Civil Engineering from UCLA

IEEE-Reliability Society Past Chairs Annual Dinner meeting Pictures captured on 12/10/2014.