This webinar examines how machine learning is being applied within forensic engineering investigations to identify causation, detect anomalies, and process complex evidence in major industrial losses.
Complex industrial losses rarely leave behind a simple trail of evidence. Modern industrial assets generate large volumes of operational data. When a significant loss event happens, that data becomes potential evidence. For investigators, claims teams, and legal advisors, the challenge is no longer whether the evidence exists. It is whether it can be found, interpreted, and presented with confidence within the timelines that claims and disputes demand.
Webinar Details
Overview
Using real-world examples on; gas turbine failures, large power transformers and complex petrochemical processes, the speakers will examine how ML can assist in the identification of unusual anomalies that would otherwise go unnoticed. They will also explore how ML strengthens the forensic engineering process and will examine where the boundaries of its application lie.
Format:
Live Webinar
Duration:
60 minutes (Including Q&A)
Speakers:
Mamoon Alyah
Amir Pourghorban
Choose Session:
Session 1 – Live: Wednesday, 6th May, 11:00 BST
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Session 2 – Pre-Recorded: Thursday, 7th May, 8:00 BST
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Learning Objectives
- Where traditional forensic investigation reaches its limits in complex, data-heavy losses
- How machine learning techniques are applied within engineering investigations
- What ML-assisted investigation looks like in practice, and how outputs are validated by the engineer
- How findings are presented in claims and dispute contexts to withstand scrutiny
- The limits of machine learning in forensic work and why engineering judgement remains central
Speakers
Mamoon Alyah
Managing Director, Principal Engineer
Mamoon Alyah is the founder and Managing Director of CEERISK Consulting Ltd, with over 35 years of experience in electrical engineering, forensic investigation, and risk consulting. He is a UK Chartered Engineer and a US Professional Engineer, and he is a Certified Risk Management Professional with an MBA. Mamoon has led complex investigations and risk engineering engagements across multiple jurisdictions, providing independent analysis and reporting for insurers, legal teams, and industrial operators on major equipment failures, fire incidents, and process-related losses in manufacturing and energy assets.
Amir Pourghorban
Senior Engineering Consultant & Head of Scientific Research
Amir Pourghorban is a Senior Engineering Consultant at CEERISK Consulting Ltd. in London, where he provides expert witness support and leads forensic investigations. His engineering background spans the oil and gas, power generation and storage, renewables, and commercial property sectors. He holds dual Master's degrees in Petroleum & Environmental Technology and Reservoir Engineering, and a PhD in Data and AI-driven diagnostics and failure analysis from Cranfield University. In his forensic practice, he specialises in analysing failures related to equipment breakdown, contamination, corrosion, chemical reaction processes, and fire investigations, applying his expertise in thermodynamic and fluid system dynamics to investigate root causes in complex manufacturing and process environments.
