Akinola’s research is 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.

Bradley has extensive industry experience in many technology sectors. He has worked in commercial programming, networking infrastructure installation. Bradley has a MSc in Advanced Computer Science from Birmingham City University, where he was awarded a Distinction grade. The title of his dissertation was “A Conversational Agent enabled IDE for Novice Programmers”. Within his MSc research the concept of using a Conversational Agent, (or ‘A.I. chatbot’), to assist novice programmers to edit code was piloted. The functional prototype utilised a Voice User Interface, (V.U.I.), that enabled the user to issue spoken instructions to the system. The users were able to phrase instructions in natural language instead of predetermined commands. This area of research is being further developed at PhD level with Worcester University. Bradley’s PhD research is focused on whether a VUI enabled Conversational Agent can assist novice programmers to debug code. The work aims to determine if A.I. assisted ‘coaching’ is perceived as a benefit to users when learning to debug code.

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

Felix’s research interests include factors (e.g., personality, implicit cues, nudge) that predict and explain health and health behaviours and have also published research on behavioural change interventions. He has collaborated with non-academic partners within the areas of occupational health and personnel selection.

Paul's research interests focus on the interface between dance and digital. He has an ongoing interest in the digital augmentation of live performance dance and this has led to some collaborative work on motion capture technologies and data visualisation within dance. Paul's other main research interest is using dance to aid learning of abstract concepts within STEM education, especially computer science. To this end he has choreographed several digital ballets in collaboration with ReadySaltedCode and the Brighton Digital Festival.

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.

Kerry is a mixed-methods researcher with a particular interest in congenital heart disease nursing. With parents and colleagues, Kerry developed a parental early warning tool called the Congenital Heart Assessment Tool (CHAT), empowering parents to escalate worries and concerns by identifying signs of deterioration in their infant and making prompt contact with the appropriate health care professionals. Kerry is also interested in transforming lives of children and young people with CHD and their families, reducing health inequalities, and improving patient safety through knowledge mobilisation.