Invited Speakers

Dr. Abreu is an Associate Professor in Ethical Artificial Intelligence and a Transforming Lives Fellow at Sheffield Hallam University. Her work centres on breaking down barriers in the ethical use of AI in different application areas, and on ensuring that Digital Literacy follows the advancement of technology. Her research crosses the application areas of health and public health data, forensics/surveillance, museum sector with a decolonial view, digital law, higher education, hate speech/fake news, policy regarding AI/Digital usages and biometrics. She works creating new light AI-based algorithms, not using off-the-shelf profit-driven big-tech-owned solutions. Being a woman of colour in STEM, she is a feminist, anti-racist and huge supporter and promoter of women in science. 

John Collomosse is a Professor of Computer Vision and AI at the University of Surrey where he is the founder and director of DECaDE, the UKRI Research Centre for the Decentralized Digital Economy. Signal Processing (CVSSP). From 2018-2024 he was on the UKRI/EPSRC advisory team for Information & Communication Technologies (ICT). He is concurrently a Principal Scientist and distinguished inventor at Adobe Research, where he manages the cross-modal representation learning (XRL) research group. He leads research for Adobe’s Content Authenticity Initiative (CAI) and is a core technical advisor to the initiative since his involvement in its inception in 2019. Now with 3500+ members, CAI leads a cross-industry standards group (C2PA; Coalition for Content Provenance and Authenticity) where John chairs the cross-industry task forces on watermarking, and distributed ledgers (Blockchain) and previously also chaired a task force on fingerprinting.

John’s research intersects Artificial Intelligence (AI) and Distributed Ledger Technology (DLT), with focus on media provenance to fight misinformation and online harms, and on improving data integrity and attribution for responsible AI. John’s content fingerprinting research is used to protect millions of images daily across Adobe’s platforms such as Photoshop, Lightroom and generative AI Firefly tools. Notably, he led the ARCHANGEL project which pioneered use of AI and Blockchain to tamper-proof National Archives around the world and was called out as a highlight of the 10 year UK Science Council (EPSRC) Digital Economy research programme.  John has presented to various government bodies on provenance, authenticity and AI opt out including the European Commission, UK House of Lords and APPG Blockchain.  

Mohamed Khamis is a Professor of Cybersecurity and Human-Computer Interaction at the University of Glasgow. He works in a diversity of topics within HCI, privacy and ubiquitous computing. In particular, he is active in the fields of eye tracking, pervasive displays, usable security, and user privacy. His contributions are at the crossroads of user privacy and ubiquitous computing and include 1) understanding threats to user privacy that are caused/facilitated by ubiquitous technologies, such as thermal attacks and shoulder surfing, and 2) designing and developing novel ubiquitous systems for protecting user privacy and security on mobile devices, public displays, and in VR.

He has 150+ publications, including 19 papers at ACM CHI, the top conference in Human-Computer Interaction, four of which received honourable mention awards (top 5% of ~3000 submissions). His research has received funding (>£1 million, out of which >£920,000 as PI) from the Royal Society of Edinburgh, the UK National Cyber Security Centre (NCSC), the UK Foreign, Commonwealth and Development Office, the UK Engineering and Physical Sciences Research Council (EPSRC), Meta/Facebook Reality Labs, REPHRAIN and the PETRAS National Centre for IoT Systems Cybersecurity.