Dr Christian Egwim is an applied scientist in the fields of artificial intelligence, big data analytics, machine learning, and software engineering. With a career deeply rooted in both academia and industry, he has established himself as a transformative figure in the application of contemporary technologies to address real-world challenges, particularly in environmental monitoring, circular economy, and digital technology innovation. In his academic career, he has established a robust scholarly portfolio, with numerous citations and several publications in leading journals where he has frequently served as the first author. His contributions to the academic community extend beyond his own research, as he is also a recognised reviewer for top IT journals. Complementing his scholarly achievements, he has played a pivotal role in securing and executing research projects valued at over £10 million, primarily funded by UK Research and Innovation (UKRI) bodies. His industry expertise is exemplified by his leadership roles in projects like LiVETAP, and Air-PoT where he was instrumental in developing advanced AI models and deploying IoT sensors for real-time environmental monitoring.

• Artificial Intelligence
• Big Data Analytics
• Business Analytics
• Machine Learning 
• Predictive Modelling 

Postgraduate level: Big data analytics and business analytics.

Undegraduate level: Digital economy and applied digital technology