Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Research Fellow



+44 (0)20 7594 5705miao.guo




E453AACE ExtensionSouth Kensington Campus





Dr Miao Guo is a EPSRC Research Fellow hosted at CPSE, Department of Chemical Engineering, Imperial College London. She has a multi-disciplinary background, holds a PhD from Department of Life Sciences Imperial College London and a BSc from Renmin University of China. Her transition from Natural Sciences to Chemical Engineering has led to a unique academic path at the engineering-science interface. Her research interests include whole systems modelling and optimization, process-based agro-ecosystem modelling of food/non-food biomass and the environmental modelling of the biomaterials/biofuel/bioenergy from renewable resources. Her EPSRC Fellowship research focuses on developing an open-source biorenewable system model from user-perspectives and providing insights into sustainable design of the future biorenewable systems, which best adapt to and mitigate future changes, contribute to UK sustainability and resilience agenda and support UK bioeconomy evolution. 



Wang X, Guo M, Koppelaar RHEM, et al., 2018, A Nexus Approach for Sustainable Urban Energy-Water-Waste Systems Planning and Operation, Environmental Science & Technology, Vol:52, ISSN:0013-936X, Pages:3257-3266

Farzad S, Mandegari MA, Guo M, et al., 2017, Multi-product biorefineries from lignocelluloses: a pathway to revitalisation of the sugar industry?, Biotechnology for Biofuels, Vol:10, ISSN:1754-6834


Duan ML, Guo M, Stuckey D, Economic and Environmental Evaluation of Phosphorus Removal and Recovery Methods from Wastewate, IWA The 2nd International Resource Recovery Conference

Wang X, Guo M, Van Dam KH, et al., Waste-Energy-Water systems in sustainable city development using the platform, 27th European Symposium on Computer Aided Process Engineering

Cremel S, Guo M, Bustos-Turu G, et al., 2017, Optimal design of urban energy systems with demand side management and distributed generation, 27th European Symposium on Computer-Aided Process Engineering (ESCAPE), ELSEVIER SCIENCE BV, Pages:2371-2376, ISSN:1570-7946

More Publications