Dr Franjo Cecelja obtained his Dipl. Eng. degree from Technical University of Zagreb, Croatia, in Engineering, M.Sc degree from Cranfield Institute of Technology in Control & Signal Processing and Ph.D from Brunel University, UK, in Optical Sensors for High Frequency, Low Intensity Electric Fields in 1997.

He worked as a postgraduate research fellow at the University of Surrey, U.K., investigating design and application of optical sensors for electric and magnetic field measurements in biological tissues since 1992. This work continued at Brunel University, U.K., until 2001 when he was appointed a lecturer in Manufacturing and Information Systems at Brunel University. In 2006 he moved to the University of Surrey where the work in Manufacturing and Information Systems expanded to the area of Process Systems Engineering.

He has expertise in Optical Sensors and Measurement, Data Processing, Optimisation and Decision Making and Computer Modelling. Dr Franjo Cecelja has worked closely with the UK and international companies and universities and research institutions which resulted in more than 15 funded research projects. He is currently principal investigator on two European projects: i) eSymbiosis FP7 (Life+) focusing on Development of knowledge-based web services to promote and advance Industrial Symbiosis in Europe, and ii) RENESENG FP7 Marie Curie LTN project focusing on Renewable Energy Systems Engineering among other two smaller currently active projects.

1. Systems engineering approach to modelling and optimization of energy generation, distribution and consumption:

· Modelling and integration: systems engineering approach to modelling and integration of renewable and low-carbon energy systems with focus on biofuel production (biorefining) and distribution with particular focus on sustainability;

· Energy management system: optimising industrial and domestic consumption for sustainability – economic, environmental and social perspective;

· Energy from waste: analysis and design of dynamic supply chains and industrial symbiosis with focus on energy generation from agricultural and forestry residues and industrial and municipal waste.

2. Systems Engineering Approach to Optimising Operation in Process Industries:

· Complex process systems: optimisation of operation of complex industrial systems operating under market influences;

· Knowledge modelling: decision making system based on stochastic optimisation and knowledge modelling (ontologies) to support supply chain integration and operation.

3. Sensory and Measurement Systems:

· Non-perturbing and fast response optical sensors for field (electric and magnetic), pressure, flow, temperature and chemical composition measurement;

· Fibre-optic sensors for industrial applications

N. Trokanas, F. Cecelja, and T. Raafat, Semantic Approach for Pre-assessment of Environmental Indicators in Industrial Symbiosis, Journal of Cleaner Production, vol. 96, no. 1, pp. 349-361, 01/06/2015, 2015. L. Koo, and F. Cecelja, Model Integration Using Ontology Input-Output Matching, Computer Aided Chemical Engineering, vol. 37, pp. 2567-2572, 2015. F. Cecelja, N. Trokanas, T. Raafat et al., Semantic Algorithm for Industrial Symbiosis Network Synthesis, Journal of Computers & Chemical Engineering, vol. On-line: in press, accepted manuscript, 2015. F. Cecelja, T. Raafat, N. Trokanas et al., e-Symbiosis: technology-enabled support for industrial symbiosis targeting SMEs and innovation, Journal of Cleaner Production vol. 98, pp. 336-352, 01/07/2015, 2015. M. Bussemaker, K. Day, G. Drage et al., A Value Chain Optimisation Model for a Biorefinery with Feedstock and Product Choices, Computer Aided Chemical Engineering, vol. 37, pp. 1883-1888, 2015. N. Trokanas, F. Cecelja, T. Raafat et al., Optimising Environmental Performance of Symbiotic Networks Using Semantics, Computer Aided Chemical Engineering, vol. 33, pp. 847-852, 2014. N. Trokanas, F. Cecelja, and T. Raafat, Ontology Evaluation for Reuse in the Domain of Process Systems Engineering, Computers & Chemical Engineering, on-line, 2014. N. Trokanas, F. Cecelja, and T. Raafat, Towards a Re-Usable Ontology for Waste Processing, Computer-Aided Chemical Engineering, vol. 33, pp. 841-846, 2014. N. Trokanas, F. Cecelja, and T. Raafat, Semantic Input/Output Matching for Waste Processing in Industrial Symbiosis, Computers & Chemical Engineering, vol. 66, no. 1, pp. 259 - 268, 4/07/2014, 2014. T. C. Fubara, F. Cecelja, and A. Yang, Modelling and Selection of Micro-CHP Systems for Domestic Energy Supply: the Dimension of Network-wide Primary Energy Consumption, Applied Energy, vol. 114, pp. 327-334, 01/02/2014, 2014.