LLM (Wales), PhD (Edinburgh)
Dr. Jamil Ammar obtained a PhD in European Intellectual Property Law at the University of Edinburgh in Scotland, where he was also the book review editor of the SCRIPT Law and Technology Centre. Jamil obtained a LLM in International Commercial Law at the University of Wales. His areas of research are in intellectual property and information technology law, branding, e-commerce law including international banking, payment systems, technology transfer and trade marks law. He has a membership at the British Institute of International and Comparative Law, and is member of the Damascus Bar Association. He has presented papers at Aberdeen University and Edinburgh University. He has also reviewed many books for journals such as the European Intellectual Law Review and International Trade Law and Regulation.
Dr. Ammar is Academic Associate at the Center on Hate Bias and Extremism (CHBE), Faculty of Social Science and Humanities, Ontario Tech University.
Dr. Ammar’s teaching and scholarship explore topics on artificial intelligence and machine learning technologies, tech ethics, cyber security, al-Qaeda and ISIS violent jihadi groups, social networking and fundamental rights. Jamil taught many counter-terrorism-related courses in both Canada and the United States.
In 2016, he co-authored an article which provided a detailed account of online activities of al-Qaida-inspired groups and the legal impediments that hinder the implementation of an affective counter terrorism strategy. Recently Ammar co-authored the book, ‘When Jihadi Ideology Meets Social Media’: providing specialists with a brief and engaging exploration of trends of media usages by violent jihadist, as well as the laws regulating these grey areas of propaganda activities on social networking sites. The book also highlights the potential of machine learning technologies and network analysis methods in curbing the spread of extremist groups online. Most recently, Ammar completed an in-depth study entitled ‘Cyber Gremlin: Social Networking, Machine Learning, And The Global War On Al-Qaida-And IS-Inspired Terrorism’, examining the limitation of machine learning technologies in curbing the spread of violent jihadi propaganda. This scholarly piece will appear in the International Journal of Law and Information Technology, Oxford University).