Speakers
Tughu Aiyewa
Dr Yohance Osborne
Salma Shalaby
Symposia Session
Please ensure you are seated promptly at 10:15 to maintain the schedule and allow each speaker their full presentation time.
10:15 – 10:30 Tughu Aiyewa (University of the West of England)
The Visual Representation of Scientific Data through Immersive Technology
10:30 – 10:45 Yohance Osborne (Durham University)
An Introduction to Mean Field Games & Their Applications
10:45 – 11:00 Salma Shalaby (Liverpool John Moores University)
The Canaries’ Experience: Exploring Hidden Dangers in Science Through VR
11:00 – 11:15 Tito Osadebey (Keele University)
Addressing AI Bias Through Inclusivity: A Case Study with Nigerian Food Images
Tughu Aiyewa is a 3D Artist and AR Designer with over five years of experience in the gaming and educational sectors. He specialises in 2D and 3D art creation and animation, focusing his skills on augmented reality (AR) to transform learning experiences through immersive technology. He is currently involved in projects that visualise scientific data to make complex concepts accessible and engaging for educational purposes.
Dr Yohance Osborne is a mathematician at Durham University, recently awarded a Royal Society Career Development Fellowship. His research focuses on Mean Field Games (MFG), exploring mathematical models that describe decision-making processes among large numbers of interacting agents. Dr Osborne's work aims to apply these models to solve complex problems in economics and social sciences.
Salma Shalaby is a documentary filmmaker and a PhD candidate at Liverpool John Moores University. With a background in investigative journalism, she has produced films and media projects that delve into pressing social issues, such as refugee rights and women’s issues. Her current research employs virtual reality (VR) to study and highlight the hidden dangers in scientific environments, focusing on improving safety and awareness.
Tito Osadebey is a Research Assistant at Keele University, where he integrates his background in mechanical engineering with artificial intelligence to address bias in AI systems. His work focuses on creating inclusive AI solutions that ensure fairness and accuracy, particularly in representing diverse cultures and demographics, such as in the analysis of Nigerian food images.