Dr Claire Gwinnett – Associate Professor in Forensic and Crime Science, Staffordshire University
Dr Claire Gwinnett’s current role is Associate Professor in Forensic and Crime Science in the Department of Law, Policing and Forensic Science at Staffordshire University. She is actively involved in forensic science and microplastic research and also conducts consultancy in trace evidence. One of her main areas of research is in the analysis of microplastics from water environments, particularly in the improvement of methods for quantification and characterisation and the use of forensic approaches for microplastic analysis and interpretation. Work conducted has included analysis of microfibres and plastic from the deep-sea sediment and organisms. Her areas of forensic expertise include hair and fibres, glass and paint, contamination prevention, proficiency testing, forensic database production, many of which overlap with microplastics research. Her research interests include the development of trace evidence databases, the development of new fibre analysis methods, textile damage, transfer and persistence studies, the development of forensic science training for lawyers and the use of multiple choice questions in determining competency in forensic practitioners. A collaborative research approach means that she works with national and international forensic science providers, higher education institutions and Police forces on projects that directly impact the criminal justice system. Currently, Claire is working with UK Police forces in the testing of a new method, developed and patented by Staffordshire University, which will enhance forensic fibres work. In addition to this, she is developing a new automated system for the analysis of microfibres from the marine environment which will also be valuable for forensic analysis work. She conducts consultancy in hair analysis and is particularly interested in wildlife crime.
Professor Andrew R W Jackson, BSc(Hons), PhD, PGCE and FCSFS
Andrew Jackson is professor emeritus in the Department of Criminal Justice and Forensic Science, School of Law, Policing and Forensics at Staffordshire University. He was the Academic Group Leader for Forensic and Crime Science (FaCS) until 31 December 2016. By that date, FaCS was a highly successful department of 19 academic staff and 14 PhD students, and a total of several hundred taught postgraduate and undergraduate students. He is widely published, having co-authored multiple textbooks (covering both Forensic Science and Environmental Science) and research papers. He has extensive research supervisory experience. He was the Principal Investigator for Staffordshire University for a £290K Police Knowledge Fund research project. This project, which was equally shared with Keele University, was 18 months in duration and finished on 31 March 2017. He is a Fellow of the Chartered Society of Forensic Sciences, has served on multiple committees of that professional body, including its ruling Council, and continues to serve on its Standard Committee. Professor Jackson’s continuing research interests are principally in new approaches to the recovery, characterisation and monitoring of fibres from the environment, and in research data evaluation.
Dr Mohamed Sedky – Senior Lecturer in Computing and Digital Tech, Staffordshire University
Dr Mohamed Sedky holds a PhD in Computer Vision and Machine Learning obtained while conducting research for the School of Computing and Digital Technologies at Staffordshire University. He is the co-founder and Technical Director of AVA Technologies. Mohamed has been involved with various video analytics, forensics and IoT projects since 2008 including strategic analysis, development, research, consultancy and project management. He holds two patent disclosures and several publications. His career has included the realisation of the first real-time physics-based video surveillance platform, Spectral-360®. More recently, he was responsible for the design and introduction of semi-automated video forensic tools for Police authorities in the UK. Mohamed has successfully managed to secure research grants and to manage projects, from planning to delivery, with InnovateUK, the Ministry of Defence (MoD), Transport for London (TfL) and UK Police forces. His roles today extend across both academic and industrial research topics, focused on Biologically inspired computational models for Machine Learning, video analytics, embedded AI and IoT solutions, this gives him a unique hardware and software background with experience from embedded to the largest of big data and IoT systems. Dr Sedky initiated and had been leading the Artificial Intelligence (AI) and Internet of Things (IoT) research at Staffordshire University, UK, for four years. This research group presently consists of two senior research staff, and five postgraduate students and is investigating novel Biologically inspired Machine Learning computational models and techniques targeting IoT applications.
Chelsie Maxwell BSc(Hons) – Graduate Intern
Chelsie Maxwell graduated from Staffordshire University in 2017 with a BSc(Hons) in Forensic Science. At the beginning of 2018 she was appointed as a graduate intern for the Forensic Examination of Microplastics from Marine Environments. As part of her role, she will be gathering resources, creating samples of known fibres for prototype of automated fibres characterisation, and taking images of slides and tapes under different conditions. She will also be working towards producing a paper about the use of deep learning for microplastics analysis and aid in the creation and publication of a non-peer review paper in a popular science publication to engage the public. Alongside those tasks she will be creating and managing a microplastic website to disseminate microplastic work at Staffordshire University.
Amy Osborne – MSci Student
Amy is a current MSci Forensic Science student in her fourth year, who is undertaking a research placement looking into the degradation of different plastics over time that have been left in a freshwater environment, to produce a grading system so that the degradation of the plastic can be graded and from this determine how long the item of plastic had been left in the environment. She is conducting experiments looking into the standardisation of collecting and analysing microplastics by gathering sediment and water column samples from the River Trent to quantify the number of microplastics in the River Trent.