DrDaniel Cristiu

Dr Daniel Crîstiu’s research interests lie at the intersection of process systems engineering, sustainable supply chain design, and decision-making under uncertainty. He focuses on developing advanced optimisation frameworks, particularly robust and stochastic optimisation, for the design and operation of resilient, low-carbon supply chains in the chemical and manufacturing sectors.

His work explores how uncertainty influences long-term planning and strategic decision-making, with applications in areas such as:

Carbon capture, utilisation, and storage (CCUS)
Waste and resource management (e.g., plastic recycling, critical raw materials recovery)
Circular economy systems
Sustainable production and energy transitions

He is also interested in the integration of reinforcement learning into supply chain optimisation, particularly for sequential decision-making in dynamic environments. More broadly, Daniel's research engages with the role of policy interventions and techno-economic analysis in shaping scalable, environmentally responsible industrial systems.

• Supply Chain Optimisation
• Optimisation under Uncertainty
• Environmental Policy & Market-Based Mechanisms
• AI for Engineering Systems
• Sustainable Chemical Systems