I’m Dr Julius Sechang Mboli—an AI and data science academic working across agentic systems, responsible AI, the circular economy and industry-facing digital transformation. I connect research, software, leadership and practical education to solve meaningful problems.
Selected research, collaboration and open learning programmes.
Exploring modular, explainable AI agents for forecasting, optimisation and energy-system decision support, with commercialisation development through the Innovate UK ICURe pathway.
A cross-disciplinary testbed connecting digital trade documents with physical location, transit and condition of goods. Collaboration between Teesside University, Digital Catapult and the Centre for Digital Trade & Innovation.
Led a practical programme for visiting students from India, introducing LangGraph, RAG, tool calling, Human-in-the-Loop and local/cloud LLMs; connected learning with an Amazon fulfilment-centre industrial visit.
Research-led engineering, responsible adoption and capability building.
Building and evaluating decision-support systems using machine learning, computer vision, LLMs, agents, IoT and knowledge representation.
Research themes ↗Designing oversight, transparency, evaluation, reliability and inclusive implementation into practical AI workflows.
Responsible AI ↗Helping learners, technical specialists and organisational leaders make sound decisions about AI opportunities and risks.
Education & training ↗Open to research collaboration, speaking, executive training, responsible AI advisory and industry-facing projects.