Engagement
Industry & collaboration
Available for industry-engaged collaboration, technical advisory, and challenge-led partnership where control, automation, optimisation, and AI must meet real operational constraints — including governance support as an IEEE Global AI Ethics Assessor (IEEE’s global programme).
Industry and collaboration
- Control and automation strategy for real systems — digital control, analogue/digital integration, optimisation, and implementation planning.
- Applied AI for engineering contexts — forecasting, decision support, and deployable workflows for operational teams.
- Engineering education collaboration — project briefs, studio-style challenge design, and industry-informed curriculum support.
- Model predictive control, hybrid metaheuristics, and learning methods for robotics, scheduling, and infrastructure.
- Responsible AI governance — ethics risk review by an IEEE Global AI Ethics Assessor (IEEE’s global programme), aligned with IEEE assurance practice.
Typical engagements
- Engineering challenge co-design with academic and industry partners
- Expert workshops and technical briefings
- Grant or consortium technical leadership (where aligned)
- Review of AI, control, and automation architectures for critical systems