This UKRI Research England funded virtual seminar series focuses on technical topics related to terrorism risk assessment, modelling and mitigation.The emphasis of the seminar series is on technical (STEM-related) aspects of this area, rather than social or political topics. Possible topics include (but are not limited to) the following:
• blast modelling and response;
• vehicles as weapons;
• big data for risk assessment, security and screening;
• mitigation measures.
Specific examples of topics included in the series range from single-degree-of-freedom (SDOF) analysis methods for blast response to modelling the use of vehicles as weapons via vehicle-dynamics models.
Participants in the series come from various academic, research and industrial organisations, including several universities and world-wide industry partners. The focus of the seminar series is in technical, STEM-related areas of counterterrorism research, but participants may have relevant expertise in a wide variety of subject areas, ranging from engineering to insurance.
Seminars have no security classification and are open to guests from bona fide organisations; we encourage external guests with appropriate affiliations to attend.
The series is currently held in a virtual format. Face-to-face or hybrid formats may be considered in the future.
Viper::Blast - An introduction to modern blast CFD - 8 December 2022
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Automated Hostile Vehicle Vector Analysis Seminar - 18 January 2022
SDOF analysis methods for blast response Seminar - 8 February 2022
Terrorism Risk Models in the Insurance Sector - 3 March 2022
Development of the Pitagone F11 rapid deployment system - 11 April 2022
Crossbows an emerging threat? - 9 May 2022
CRIM-TRACK - Portable Sniffer for the Detection of Illicit Chemicals - 1 September 2022
Accurate, fast and simplistic predictions of blast loads on buildings - 17 October 2022
Towards trustworthy machine learning methods - 11 November 2022
Chair, Dr Shaun Forth
Secretary, Dr Stephanie Burrows
Impact, Dr Rachael Hazael
Physical Security, Jim Clements
CBRN, Dr Matthew Healy
Risk and Resilience, Prof Andrew Silke
Big Data, Dr Adam Zagorecki
Vehicles, Ajay Kumar