Chemical traces — understood in the forensic sense as vestiges of past activity — can provide actionable information for investigation, screening and post-event reconstruction. However, translating analytical findings into reliable conclusions requires robust methods and transparent interpretation frameworks.
In parallel with traditional criminal justice applications, forensic analytical techniques are playing an increasingly prominent role in security-facing contexts, where chemical information may contribute not only to evidential evaluation but also to intelligence-led decision-making. This seminar will discuss how modern approaches to detection and chemical profiling can support this broader perspective across both bulk materials and trace residues, and how analytical results may be structured into interpretable outputs that remain scientifically defensible even when operating under uncertainty.
The presentation will highlight the value of combining next-generation analytical chemistry with chemometric and computational approaches to move beyond simple identification and towards comparison, classification, and decision support. Selected examples from the author’s research on energetic materials and related forensic traces will be used to illustrate the opportunities, limitations, and practical considerations that shape real-world deployment and interpretation.
The Terrorism Risk Assessment, Modelling and Mitigation Seminar Series (TRAMMSS) is a virtual seminar series focused on technical topics related to terrorism risk assessment, and modelling, including blast modelling and response; IEDs; vehicles as weapons; CBRN; big data for risk assessment, security and screening; and associated mitigation measures.
Speakers
Dr Matteo Gallidabino is a Lecturer in Forensic Chemistry at King’s College London. His research focuses on the chemical detection, characterisation and interpretation of trace evidence, with particular emphasis on explosive and gunshot residues. His work integrates advanced analytical methods, including GC–MS and high-resolution mass spectrometry (HRMS), alongside chemometrics and machine learning to address source-level and activity-level questions in forensic science.
Dr Gallidabino currently leads several interdisciplinary projects, including investigations into the transfer dynamics of chemical and particulate traces, the chemical profiling of explosive and gunshot residues, and the development of Bayesian networks to model trace evidence scenarios and support decision making. His work has been published in international peer-reviewed journals. He serves as an Associate Editor for Science & Justice and an Assistant Editor for Forensic Science International.
Who should attend
This seminar is open to guests from outside 成人直播, who may work in academia, research, or industry. Due to the potentially sensitive nature of this seminar series, guests should be able to show that they are affiliated with an appropriate bona fide organisation.Cost
The event is free of charge, but participants must register for the TRAMMSS mailing list in advance.How to register
To attend this seminar, you must register for the TRAMMSS mailing list via the . Upon mailing list registration, you will be sent a second link to register for the webinar itself.
Further information on the TRAMMSS community can be found on the main website at cranfield.ac.uk/TRAMMSS.
