Dr Kellyann Stamp
School of Computer Science and Mathematics
Faculty of Engineering and Technology
Email: K.A.Stamp@ljmu.ac.uk
Dr Kellyann Stamp is a Lecturer in Computer Forensics and Security at Liverpool John Moores University. Kellyan teaches students from both the Computer Security and Computer Forensics courses on a wide range of modules.
Kellyann acheived her PhD in Neuroadaptive Technology from Liverpool John Moores University in 2020, and a 1st class BSc(Hons) in Computer Forensics in 2016.
Kellyann has previously worked as a Research Assistant in the School of Psychology, and a Sessional Lecturer in the School of Computer Science and Mathematics, both at Liverpool John Moores University.
Degrees
2020, Liverpool John Moores University, United Kingdom, PhD
2016, Liverpool John Moores University, United Kingdom, BSc(Hons)
Academic appointments
Lecturer In Computer Forensics / Security, School of Computer Science and Mathematics, Liverpool John Moores University, 2021 - present
Sessional Lecturer, School of Computer Science and Mathematics, Liverpool John Moores University, 2020 - 2021
Research Assistant, School of Psychology, Liverpool John Moores University, 2019 - 2020
Journal article
Fairclough SH, Stamp K, Dobbins C. 2022. Functional Connectivity Across Dorsal And Ventral Attention Networks In Response To Task Difficulty And Experimental Pain Neuroscience Letters, 793 DOI Author Url Publisher Url Public Url
Fairclough SH, Dobbins C, Stamp K. 2021. Classification of Game Demand and the Presence of Experimental Pain Using Functional Near-Infrared Spectroscopy Frontiers in Neuroergonomics, 2 DOI Author Url Publisher Url Public Url
Fairclough SH, Stamp K, Poole H, Dobbins C. 2020. Computer games as distraction from PAIN: Effects of hardware and difficulty on pain tolerance and subjective IMMERSION International Journal of Human-Computer Studies, 139 DOI Author Url Publisher Url Public Url
Conference publication
Mac Dermott AM, Motylinski M, Iqbal F, Stamp K, Hussain M, Marrington A. 2022. Application of deep learning for detection of toxic images in social media Forensic Science International: Digital Investigation, DFRWS APAC 2022 43 DOI Publisher Url Public Url
Stamp K, Dobbins C, Fairclough S. 2020. Utilization of Neurophysiological Data to Classify Player Immersion to Distract from Pain Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12425 LNCS :756-774 DOI Publisher Url
Stamp K, Dobbins C, Fairclough SH, Poole H. Development of a Neuroadaptive Gaming Technology to Distract from Painful Procedures 1st Neuroadaptive Technology Conference 2017 (NAT’17) Public Url
Stamp K, Dobbins CM, Fairclough SH, Poole H. The Influence of Game Demand on Distraction from Experimental Pain: A fNIRS Study 2nd International Neuroergonomics Conference DOI Publisher Url Public Url
Williams J, Mac Dermott AM, Stamp K, Iqbal F. Forensic Analysis of Fitbit Versa: Android vs iOS Systematic Approaches to Digital Forensic Engineering. IEEE Symposium on Security and Privacy 2021 DOI Author Url Publisher Url Public Url
Thesis/Dissertation
Stamp K. 2021. THE DEVELOPMENT OF A MULTIMODAL NEUROADAPTIVE GAMING TECHNOLOGY TO DISTRACT FROM PAINFUL EXPERIENCES. Dobbins C, Fairclough S, Poole H. Public Url
Chapters
Stamp K, Fairclough SH, Dobbins C, Poole H. 2021. The influence of a neuroadaptive game as a distraction from pain: a fNIRS study Current Research in Neuroadaptive Technology :95-116 9780128214145 DOI Publisher Url
Conference presentation:
A Neuroadaptive Approach to Analgesic Gaming, Neuroadaptive Technology Conference, Liverpool, Oral presentation. 2019
The Influence of Game Demand on Distraction from Experimental Pain: A fNIRS Study, 2nd International Neuroergonomics Conference, Philadelphia, PA, USA, Oral presentation. 2018
Development of a Neurodaptive Gaming Technology to Distract from Painful Procedures, Neuroadaptive Technology Conference, Berlin, Poster presentation. 2017