Dr. Carlisle George is a lawyer (Barrister) and computer scientist. Among other qualifications, he holds a Doctorate (PhD) in Computer Science from the University of London (Goldsmiths), a Masters degree (LLM) in Information Technology & Communications Law from the London School of Economics and a Masters degree in Business Administration (MBA) from Middlesex University. He is qualified as a Barrister and was called to the Bar of England and Wales at Lincoln's Inn (London) and the Bar of the Eastern Caribbean Supreme Court (St Lucia). He is an Associate Professor, Programme Leader, Chair of the Computer Science Research Ethics Committee, Convenor of the ALERT (Aspects of Law and Ethics Related to Technology) research group, and Director of Studies (Supervisor) for several PhD students. He has previously worked at several higher education institutions including: Singapore Institute of Management, Northumbria University and The London School of Economics (Law Department). Dr. George is the author of many academic publications focusing on his research interests that include: legal aspects of eHealth, privacy, data protection, information technology law, Internet law, intellectual property law, legal aspects of digital forensics and legal aspects of data science. He has co-edited two books focusing on legal, ethical, social and governance aspects of eHealth and medical informatics respectively and has lead the organisation of several workshops on legal, ethical and social aspects of health information technology. He has also been involved in several EU funded projects as a senior legal expert and/or researcher including: An EU-wide study assessing the completeness and conformity of measures of Member States to transpose Directive EU 681/2016 (the Passenger Name Record Directive); An EU-wide study on the legal and political context for setting up a European identity document (STU(2016)556957); An EU-wide study focusing on an overview of the national laws on electronic health records in the EU Member States and their interaction with the provisions of cross-border e-health services (EAHC/2013/Health/06); An EU research project on Visual Analysis for Sense-Making in Criminal Intelligence Analysis (VALCRI); An EU research project on developing a Semantics Analysis Monitor for the illegal use of the Internet (SAMi2). Dr. George has been actively involved in numerous external academic activities including as an invited conference speaker, conference programme committee member, workshop co-organiser and member of the editorial board of the International Journal of Electronic Security and Digital Forensics. He is a co-founder and member of the Advisory Board of the European Centre for the Study of Ethics, Law and Governance in Health Information Technology. He is also a Fellow of the Higher Education Academy (FHEA) and has served as an external examiner for several universities. He is a member of several professional bodies including the Honourable Society of Lincoln's Inn and the International Federation for Information Processing (IFIP) Working Group 9.2.
Legal/regulatory aspects of: digital forensics, e-commerce, data science, AI/Machine Learning and information technology use.
Vithanwattana, Nattaruedee and Karthick, Gayathri and Mapp, Glenford E. and George, Carlisle and Samuels, Ann (2022) Securing future healthcare environments in a post-COVID-19 world: moving from frameworks to prototypes. Journal of Reliable Intelligent Environments , 8 (3). pp. 299-315. ISSN 2199-4668
Jusob, Farad Rafique and George, Carlisle and Mapp, Glenford E. (2022) A new privacy framework for the management of chronic diseases via mHealth in a post Covid-19 world. Journal of Public Health , 30 (1). pp. 37-47. ISSN 2198-1833
Vithanwattana, Nattaruedee and Karthick, Gayathri and Mapp, Glenford E. and George, Carlisle (2021) Exploring a new security framework for future healthcare systems. In: IEEE Global Communications Conference: Workshop on Securing Next-Generation Connected Healthcare Systems using Futuristic Technologies, 07-11 Dec 2021, Madrid, Spain [Hybrid: In-Person and Virtual].
Juddoo, Suraj and George, Carlisle (2020) A qualitative assessment of machine learning support for detecting data completeness and accuracy issues to improve data analytics in big data for the healthcare industry. In: ELECOM 2020 - 3rd International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), 25-27 Nov 2020, Mauritius, Mauritius.
Juddo, Suraj and George, Carlisle and Duquenoy, Penny and Windridge, David (2018) Data governance in the health industry: investigating data quality dimensions within a big data context. Applied System Innovation , 1 (4). pp. 1-16. ISSN 2571-5577