Biography
Aidong joined Oxford in 2014 as an Associate Professor in the Department of Engineering Science, and as a Research Fellow of Green Templeton College. Before moving to Oxford, Aidong was a Senior Lecturer in the Department of Chemical and Process Engineering at University of Surrey, where he started as a Lecturer in 2007 after working as a postdoctoral researcher in a number of academic organisations, including Chinese Academy of Science, Louisiana State University, RWTH Aachen, and University of Newcastle Upon Tyne.
Aidong studied Chemical Engineering in Hebei University of Technology and Dalian University of Technology and received a Bachelor's degree and a PhD in 1992 and 1997, respectively.
Most Recent Publications
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
Research Interests
Aidong's research interests lie in developing methods and tools for modelling chemical/biochemical processes and related systems and in applying models and other systems engineering approaches to support the development of sustainable energy, engineering and manufacturing systems.
In particular, his group is currently active in the following areas: renewable resources utilisation, atmospheric CO2 removal, food-energy-water nexus, and biological systems engineering.
Research Groups
Most Recent Publications
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
DPhil Opportunities
We are currently open to supervising research students in renewable resource utilisation, atmospheric carbon dioxide removal, decarbonisation of heavy industries, and biological systems engineering.
Most Recent Publications
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Systematic elucidation of independently modulated genes in Lactiplantibacillus plantarum reveals a trade-off between secondary and primary metabolism
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
Decarbonisation pathways of the cement production process via hydrogen and oxy-combustion
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Food–energy–water nexus optimization brings substantial reduction of urban resource consumption and greenhouse gas emissions
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
