Akinola’s research is presently focused on using semantic-based techniques to model and describe security-related features of a computer network. This includes using ontology and advanced reasoning methods to characterise attack scenarios of how an attacker may leverage a network vulnerability in a complete system compromise. Other research interest includes Cyber threat hunting, Penetration Testing, Threat Modelling, Attack Modelling, API Security, Identity and Access Management Systems and Progressive Web Applications.

Andrew has worked in the computer graphics industry for over 25 years, for a wide range of blue-chip clients. Research interests:

• Experimental film media
• Experimental sound design and composition
• Drones and their impact on society

Andrew has worked on computing projects for over twenty years. His work has included information systems development, systems analysis, IT strategy planning, data science and research. He has worked on systems for healthcare and medical diagnosis, banking, transport, cybersecurity, DNA analysis, and telecoms. Andrew’s PhD looked at detecting cyberattacks in vehicles – a potential huge problem in future driverless cars.

Chris is a specialist in Intelligent Interactive Systems. In other words, he looks at how we can build intelligent systems that humans can work with effectively. His work bridges the two domains of Human-Computer Interaction and Computational Intelligence, but he retains a particular focus on Mobile and Ubiquitous systems. Chris has applied his expertise across a wide variety of domains having worked on several successful international projects across the engineering, media, culture and heritage sectors.

Research interests: Design and Development of Educational Immersive Environments using 3D Digital Technology Physics Simulations using 3D Digital Technology Teaching Primary School Children to code in Java Story-Writing-Coding for Primary and Secondary Schools Technology to help Special Needs students read and write

Developing improved analytical models and methods for study, design, evaluation and update of different forms of inter-node communication in wireless sensor networks.

Peter has a wide variety of industry experience, including three years in database administration and data analysis for Mercedes-Benz dealerships. He has a BSc Computing with Business from the University of Worcester, where he was awarded the Academic Achievement Scholarship for his first-year results. He has an MSc in Business Intelligence from Birmingham City University (with distinction), where the topic of his dissertation was a review of rudimentary methods of sarcasm classification in tweets. Research interests: • Database, data warehouse and data lake architectures. • Semi-structured data. • Open and big data. • Data mining. • Business intelligence. • Text mining and sentiment analysis. • Autism in higher education.

Richard’s current fields of research have particularly drawn him to a focus and work around Teaching and Learning in Higher Education along with Big Data, Data Analytics and Social Media Engagement Analysis with a particular interest around Learning Analytics.

Eya’s main research interests are in Causal Inference, Machine/deep learning, Artificial intelligence, Data mining, Systems modelling, System Dynamics, Employee turnover, and Human Resources Management. Her PhD research concerns examining the practicalities of combining machine learning and causal inference, specifically the logic of system dynamics by Dr John Sterman to turnover prediction, identifying the key indicators/variables and testing the outcome of different scenarios to improve decision making.