Kehinde’s work involves collection, processing, analysis, and modelling of open-source data under the Honeycomb project. The Honeycomb project aims to develop a data driven approach towards combating human trafficking and modern slavery across Greater Manchester. Kehinde is also contributing to the development of technical solutions in the Horizon Europe projects “TechEthos”, a project designed towards investigating the ethical impact of emerging technologies. He is also involved in the IRON project where he is currently exploring graph analytics approach towards understanding, modelling, and predicting child exploitation activities.
Kehinde’s research interests lie in the broad area of machine learning and artificial intelligence. He is passionate about leveraging advances in this field in building modern computational models to achieve some of the Sustainable Development Goals (SDG). Some of the SDG goals he has worked on include good health and well-being (Goal 3), life on land (Goal 15) as well as building sustainable cities and communities (Goal 11). He is also interested in data-driven approach to research around security and privacy, and cognitive neuroscience inspired approach towards building intelligent systems.
Kehinde holds a PhD in Computer Science from University College London and a double masters in Telecommunication Electronics and Information Security from the University of Glasgow and University College London respectively. His PhD thesis tackled problems around sustainability, ecology, cognition and neuroscience using artificial intelligence. Before joining Trilateral as well as starting his postgraduate studies, Kehinde worked as an IT risk officer at Guaranty Trust Bank Lagos, Nigeria.