Sheila received her PhD in Chemical Engineering from University College London in 2012 and then worked as a research associate at the Department of Chemical Engineering at Imperial College until June 2016. She obtained an MSc in Chemical Engineering (First Class Honours) from the National Taiwan University of Science and Technology and a BSc in Chemical Engineering (Cum Laude) from the University of the Philippines.

Sheila’s research interests focus on multi-scale mathematical modelling and optimisation and their application to chemical engineering problems such as process synthesis and integration, whole systems design and operation, production planning and scheduling, supply/value chains, location and transportation problems and so on. In the particular, she has great interest in the following: Multi-vector energy networks comprising technologies for conversion, storage and transport Value chain modelling (biomass, CO2, etc.) Heat, electricity, transport fuels, alternative energy vectors (e.g. hydrogen, syngas, methanol, ammonia) Water exchange/distribution networks Optimisation under uncertainty (stochastic analysis, robust optimisation etc.) Efficient methods for large scale optimisation problems (e.g. decomposition) Mathematical programming and game theory for decision-making Application of methods in Artificial Intelligence (e.g. Constraint Programming) for planning and scheduling of chemical plants

Samsatli, S., Staffell, I. and Samsatli, N. J., 2016. Optimal design and operation of integrated wind-hydrogen-electricity networks for decarbonising the domestic transport sector in Great Britain. International Journal of Hydrogen Energy, 41, pp. 447-475. Dominguez-Ramos, A., Triantafyllidis, C., Samsatli, S., Shah, N. and Irabien, A., 2016. Renewable electricity integration at a regional level:Cantabria case study. Computer Aided Chemical Engineering, 38, pp. 211-216. Samsatli, S., Ramos, A., Matchett, M., Brandon, N. P., Shah, N. and Samsatli, N. J., 2016. Whole-systems modelling of alternatives for future domestic transport. Computer Aided Chemical Engineering, 38, pp. 457-462. Samsatli, S. and Samsatli, N. J., 2015. A general spatio-temporal model of energy systems with a detailed account of transport and storage. Computers and Chemical Engineering, 80, pp. 155-176. Samsatli, S., Samsatli, N. J. and Shah, N., 2015. BVCM:a comprehensive and flexible toolkit for whole-system biomass value chain analysis and optimisation - mathematical formulation. Applied Energy, 147, pp. 131-160. Stockford, C., Brandon, N., Irvine, J., Mays, T., Metcalfe, I., Book, D., Ekins, P., Kucernak, A., Molkov, V., Steinberger-Wilckens, R., Shah, N., Dodds, P., Dueso, C., Samsatli, S. and Thompson, C., 2015. H2FC SUPERGEN:an overview of the hydrogen and fuel cell research across the UK. International Journal of Hydrogen Energy, 40 (15), pp. 5534-5543. Ang, S. M. C., Brett, D. J. L., Staffell, I., Hawkes, A. D., Fraga, E. S., Samsatli, N. J. and Brandon, N. P., 2012. Design of fuel cell micro-cogeneration systems through modelling and optimisation. Wiley Interdisciplinary Reviews: Energy and Environment, 1 (2), pp. 181-193. Ang, S. M. C., Brett, D. J. L., Staffell, I., Hawkes, A. D., Fraga, E. S., Samsatli, N. J. and Brandon, N. P., 2012. Design of fuel-cell micro-cogeneration systems through modeling and optimization. Wiley Interdisciplinary Reviews: Energy and Environment, 1 (2), pp. 181-193. Ang, S. M. C., Fraga, E. S., Brandon, N. P., Samsatli, N. J. and Brett, D. J. L., 2011. Fuel cell systems optimisation – Methods and strategies. International Journal of Hydrogen Energy, 36 (22), pp. 14678-14703. Ang, S. M. C., Brett, D. J. L. and Fraga, E. S., 2010. A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system. Journal of Power Sources, 195 (9), pp. 2754-2763. Ang, S. M. C., Brett, D. J. L. and Fraga, E. S., 2010. A model for the multi-objective optimisation of a polymer electrolyte fuel cell micro-combined heat and power system. Computer Aided Chemical Engineering, 28, pp. 949-954.