Dr Julius Mboli

Dr Julius Sechang Mboli is a Lecturer in Artificial Intelligence, Data Science and Modelling at the University of Hull's Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), within the School of Digital and Physical Sciences. He is a Senior Fellow of Advance HE (SFHEA), an interdisciplinary researcher, AI practitioner and academic leader whose work bridges artificial intelligence, data science, business analytics, engineering and sustainable digital transformation.

His research focuses on developing and applying intelligent technologies to address complex organisational, industrial and societal challenges. His expertise spans machine learning, deep learning, Generative AI, Agentic AI, Internet of Things (IoT), digital twins, knowledge graphs, natural language processing and AI-enabled decision support systems. A central theme of his work is the development of responsible, explainable and human-centred AI systems that support informed decision-making, organisational innovation and sustainable development.

Julius holds a PhD from the University of Bradford, where his doctoral research investigated how Artificial Intelligence and IoT technologies can enable circular economy business models. He also holds a Master's degree in Computer Science and an MBA, providing an interdisciplinary foundation across computing, engineering, management and business strategy.

His research contributions include AI-driven circular economy systems, smart and connected infrastructure, digital twins, responsible adoption of Generative AI and computational analysis of public discourse. His recent work examines ethical attitudes towards Generative AI, including moral decoupling in consumer behaviour, alongside emerging research into explainable and trustworthy AI applications.

Before joining the University of Hull, Julius was a Lecturer in Business Data Analytics at Teesside University International Business School, where he contributed to research, teaching, enterprise knowledge exchange and industry collaboration. He served as a Co-Investigator on the Innovate UK-funded PROGRESS project, which investigated physical assurance and interoperability in digital trade systems.

At Hull, Julius contributes to postgraduate teaching and curriculum innovation across Applied Artificial Intelligence, Big Data and Data Mining, Probability and Statistics, and AI for Marketing and Sales. He has contributed to the development of the MSc Artificial Intelligence for Business and leads practice-oriented learning initiatives that connect emerging AI technologies with real-world business and industrial challenges.

He led the DAIM Agentic AI Summer Bootcamp 2026, combining practical experience in large language models, LangGraph, AI agents, retrieval-augmented generation, tool use and Human-in-the-Loop systems with industrial engagement. He has also developed executive education and consultancy resources on AI strategy, organisational readiness, responsible implementation and digital transformation for public-sector leaders and professionals.

Beyond teaching and research, Julius is actively involved in academic leadership, mentoring, professional development and public engagement. His Senior Fellowship of Advance HE recognises his sustained influence on educational practice, curriculum innovation and the professional development of colleagues. His activities include supporting early-career researchers, promoting inclusive participation in AI and STEM, and engaging industry, public-sector organisations and young people in discussions about the opportunities and responsibilities associated with artificial intelligence.

Julius welcomes interdisciplinary research collaboration, industry partnerships, consultancy and knowledge exchange focused on developing AI systems that are technically robust, trustworthy, socially beneficial and environmentally sustainable.