Academic Profile : Faculty
Prof Markus Kraft
Director, Campus for Research Excellence and Technological Enterprise, School of Chemistry, Chemical Engineering and Biotechnology
Visiting Professor, School of Chemistry, Chemical Engineering and Biotechnology
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Prof Markus Kraft is a Fellow of Churchill College Cambridge and Professor in the Department of Chemical Engineering and Biotechnology. He is the director of CARES ltd., the Singapore-Cambridge CREATE Research Centre. He is also a principal investigator of “Cambridge Centre for Carbon Reduction in Chemical Technology (C4T)”. He obtained the academic degree 'Diplom Technomathematiker' at the University of Kaiserslautern in 1992 and completed his Doctor rerum naturalium in Technical Chemistry at the same University in 1997. Subsequently, he worked at the University of Karlsruhe and the Weierstrass Institute for Applied Analysis and Stochastics in Berlin. In 1999 he became a lecturer in the Department of Chemical Engineering, University of Cambridge. He has been a visiting Professor at NTU in CCEB (previously SCBE) since 2013.
He has a strong interest in the area of computational modelling and optimisation targeted towards developing carbon abatement and emissions reduction technologies for the automotive, power and chemical industries. He has contributed significantly towards the detailed modelling of combustion synthesis of organic and inorganic nanoparticles and worked on engine simulation, spray drying and the granulation of fine powders. More recently, he has been working on cyber physical systems employing time varying knowledge graphs with the aim to build large cross domain applications that help to reduce energy consumption and harmful emissions. In 2021, he was elected Fellow of the Alan Turing Institute.
Awards
Dipl.-Math. techn., Dr. rer. nat., MA, ScD, FIChemE, VDI, FCI
Ricardo Award, Institute of Physics, 2023
Distinguished Paper Prize, Combustion Institute, 2022
Gaydon Prize, Combustion Institute (BS), 2018
Friedrich Wilhelm Bessel-Forschungspreis, 2016
DFG Mercator Fellow, 2012
Ricardo Award, Institute of Physics, 2009
Gaydon Prize, Combustion Institute (BS), 2006
Beilby Medal, RSC, 2006
Royal Academy of Engineering - Leverhulme Trust Senior Research Fellowship, 2005
Sugden Award, Combustion Institute (BS), 2004
Ricardo Award, Institute of Physics, 2023
Distinguished Paper Prize, Combustion Institute, 2022
Gaydon Prize, Combustion Institute (BS), 2018
Friedrich Wilhelm Bessel-Forschungspreis, 2016
DFG Mercator Fellow, 2012
Ricardo Award, Institute of Physics, 2009
Gaydon Prize, Combustion Institute (BS), 2006
Beilby Medal, RSC, 2006
Royal Academy of Engineering - Leverhulme Trust Senior Research Fellowship, 2005
Sugden Award, Combustion Institute (BS), 2004
Fellowships & Other Recognition
Fellow of the Alan Turing Institute, elected 2021
Fellow of the Combustion Institute, 2020
Fellow of IChemE, 2018
Fellow of the Combustion Institute, 2020
Fellow of IChemE, 2018
Courses Taught
• NTU
CH3101-PROCESS CONTROL AND DYNAMICS (3rd Year Course)
• UCAM
Fluid lab – Senior Marker and organiser (CETI)
Fluid Mechanics (CETI)
Radiation (CETIIA)
Probability and Statistics (CETI and CETIIA)
Stochastic Modelling in Chemical Engineering (CETIIB - New Course)
Weblabs – New reactor and control laboratory - (Exercises in CETIIA)
CFD from theory to practice (CETIIB - New Course)
• Churchill College
Fluids (CETI)
Transport processes – Mass and heat transfer (CETI)
Radiation (CETIIA)
CH3101-PROCESS CONTROL AND DYNAMICS (3rd Year Course)
• UCAM
Fluid lab – Senior Marker and organiser (CETI)
Fluid Mechanics (CETI)
Radiation (CETIIA)
Probability and Statistics (CETI and CETIIA)
Stochastic Modelling in Chemical Engineering (CETIIB - New Course)
Weblabs – New reactor and control laboratory - (Exercises in CETIIA)
CFD from theory to practice (CETIIB - New Course)
• Churchill College
Fluids (CETI)
Transport processes – Mass and heat transfer (CETI)
Radiation (CETIIA)
Supervision of PhD Students
Yong Ren Tan (2023) “Experimental investigation on the effect of the combustion of oxygenated fuels on the formation of soot”
Chung Lao (2022) “Development and application of a channel-scale exhaust after-treatment models”
Gustavo Leon (2021), “Stochastic modelling of the growth of carbonaceous materials”
Eric Bringley (2021),”Simulations of Nanoparticle Synthesis in Laminar Stagnation Flames”
Kimberly Bowal (2021), “Modelling the self-assembly and structure of carbonaceous nanoparticles”
Angiras Menon (2021),” Modelling the optical, kinetic, and thermodynamic properties of soot precursor
particles”
Astrid Boje PhD (2020) “Detailed population balance modelling of industrial titania synthesis”
Jacob Martin PhD (2020), “Investigating the role of curvature on the formation and thermal transformations of soot”
Manoel Manuputty PhD (2020), “Morphology and polymorphism of TiO2 nanoparticles prepared in premixed stagnation flames”
Casper Lindberg PhD (2020), “Detailed population balance modelling of titanium dioxide nanoparticle synthesis”
Janusz Sikorski PhD (2019), “Blockchain, parameterisation and automated arbitrage applied to the chemical industry”
Andrew McGuire, PhD (2018), “A detailed, stochastic population balance model for twin-screw (wet) granulation”
Philipp Buerger, PhD (2017), “First-principles investigation of titanium dioxide gas-phase precursor chemistry”
Hassan Darian, PhD (2017), “Numerical modelling of soot formation in coflow laminar diffusion flames”
Alastair Smith, PhD (2017), “Coupling Population Balance Solvers to Computational Fluid Dynamics for Complicated Geometries”
Daniel Nurkowski, PhD (2017), “Modelling silica and titania particle precursor chemistry from first principles”
Kok Foong Lee, PhD (2017), “Stochastic modelling of high-shear wet granulation”
Edward Yapp, PhD (2016), “Numerical simulation of soot in laminar flames”
Maria Botero, PhD (2015), “Experimental investigation of the sooting characteristics of liquid
hydrocarbons in a wick-fed diffusion flame ”
George Brownbridge, PhD (2014) “Computer assisted model development applied to chemical engineering systems”
Dongping Chen, PhD (2014), “Numerical investigation of polycyclic aromatic hydrocarbon clusters”
Ali Aldawood, PhD (2014), “Investigations of HCCI control using dual fuel strategies”
Catharine Kastner, PhD (2014), “Combining experiments with modelling as applied to particle processes”
William Menz, PhD (2013), “Stochastic modelling of silicon nanoparticle synthesis”
Rebecca Riehl, PhD (2013), “Combining combustion simulations with complex kinetics”
Weerapong Phadungsukanan, PhD (2013), “Building a computational chemistry database system for the Kinetic studies in Combustion”
Peter Man, PhD (2013), “Statistical Methods for Computing Sensitivities and Parameter Estimates of Population Balance Models”
Laurence McGlashan, PhD (2013), “Coupling Population Balances to Computational Fluid Dynamics Solvers”
Shraddha Shekar, PhD (2012), “Modelling the aerosol synthesis of silica nanoparticles from tetraethoxysilane”
Tim Totton, PhD (2012), “Modelling interactions of polycyclic aromatic hydrocarbons during soot formation”
Raphael Shirley, PhD (2011), “Theoretical Insights into the Combustion Synthesis of Titanium Dioxide Nanoparticles”
Jethro Akroyd, PhD (2011), “Mean reaction rate closures for nanoparticle formation in turbulent reacting flow”
Markus Sander, PhD (2011), “Mathematical modelling of nanoparticles from the gas-phase”
Andreas Braumann, PhD (2011), “Multidimensional modelling of granulation”
Jon Etheridge, PhD (2010), “Modelling the SI-HCCI transition in a GDI internal combustion engine”
Haiyun Su, PhD (2010), “Stochastic reactor models for simulating direct injection HCCI engines”
Abhijeet Raj, PhD (2010), “Formation, growth and oxidation of soot: A numerical study”
Christopher Handscomb, PhD (2008), “Simulating drying and particle formation in spray drying towers”
Richard West, PhD (2008), “Modelling the chlorine process for titanium dioxide synthesis”
Neal Morgan, PhD (2008), “Numerical modelling of the growth of nanoparticles”
Matthew Celnik, PhD (2007), “On the numerical modelling of soot and carbon nanotube formation”
Mike J. Goodson, PhD (2007), “Stochastic solution of multi-dimensional population balances”
Robert Patterson, PhD (2007), “Detailed modelling of aggregation processes”
Sebastian Mosbach, PhD (2006), “Explicit stochastic and deterministic simulation methods for combustion chemistry”
Jasdeep Singh, PhD (2006), “Dynamics of nano-particles in turbulent flows”
Amit Bhave, PhD (2004), “Stochastic reactor models for homogeneous charge compression ignition engines”
Songyi Deng, CPGS (2019) “Development of an ontology for combustion experiments”
Wongsathorn Jiraphanvanich, MPhil (2015), “Computational investigation of the growth and oxidation of carbon nanoparticles”
Zakwan Zainuddin, CPGS (2015), “Polycyclic aromatic hydrocarbon (PAHs) modelling in flames”
Je Hyeong Hong, CPGS (2014), “Optimisation and Bayesian parameter estimation for a kinetic n-propylbenzene oxidation model”
Edward White, CPGS (2012), “SPSA for computational model development”
Anthony N. Knobel, CPGS (2001), “Monte Carlo methods as a simulation tool for predicting combustion emissions”
Chung Lao (2022) “Development and application of a channel-scale exhaust after-treatment models”
Gustavo Leon (2021), “Stochastic modelling of the growth of carbonaceous materials”
Eric Bringley (2021),”Simulations of Nanoparticle Synthesis in Laminar Stagnation Flames”
Kimberly Bowal (2021), “Modelling the self-assembly and structure of carbonaceous nanoparticles”
Angiras Menon (2021),” Modelling the optical, kinetic, and thermodynamic properties of soot precursor
particles”
Astrid Boje PhD (2020) “Detailed population balance modelling of industrial titania synthesis”
Jacob Martin PhD (2020), “Investigating the role of curvature on the formation and thermal transformations of soot”
Manoel Manuputty PhD (2020), “Morphology and polymorphism of TiO2 nanoparticles prepared in premixed stagnation flames”
Casper Lindberg PhD (2020), “Detailed population balance modelling of titanium dioxide nanoparticle synthesis”
Janusz Sikorski PhD (2019), “Blockchain, parameterisation and automated arbitrage applied to the chemical industry”
Andrew McGuire, PhD (2018), “A detailed, stochastic population balance model for twin-screw (wet) granulation”
Philipp Buerger, PhD (2017), “First-principles investigation of titanium dioxide gas-phase precursor chemistry”
Hassan Darian, PhD (2017), “Numerical modelling of soot formation in coflow laminar diffusion flames”
Alastair Smith, PhD (2017), “Coupling Population Balance Solvers to Computational Fluid Dynamics for Complicated Geometries”
Daniel Nurkowski, PhD (2017), “Modelling silica and titania particle precursor chemistry from first principles”
Kok Foong Lee, PhD (2017), “Stochastic modelling of high-shear wet granulation”
Edward Yapp, PhD (2016), “Numerical simulation of soot in laminar flames”
Maria Botero, PhD (2015), “Experimental investigation of the sooting characteristics of liquid
hydrocarbons in a wick-fed diffusion flame ”
George Brownbridge, PhD (2014) “Computer assisted model development applied to chemical engineering systems”
Dongping Chen, PhD (2014), “Numerical investigation of polycyclic aromatic hydrocarbon clusters”
Ali Aldawood, PhD (2014), “Investigations of HCCI control using dual fuel strategies”
Catharine Kastner, PhD (2014), “Combining experiments with modelling as applied to particle processes”
William Menz, PhD (2013), “Stochastic modelling of silicon nanoparticle synthesis”
Rebecca Riehl, PhD (2013), “Combining combustion simulations with complex kinetics”
Weerapong Phadungsukanan, PhD (2013), “Building a computational chemistry database system for the Kinetic studies in Combustion”
Peter Man, PhD (2013), “Statistical Methods for Computing Sensitivities and Parameter Estimates of Population Balance Models”
Laurence McGlashan, PhD (2013), “Coupling Population Balances to Computational Fluid Dynamics Solvers”
Shraddha Shekar, PhD (2012), “Modelling the aerosol synthesis of silica nanoparticles from tetraethoxysilane”
Tim Totton, PhD (2012), “Modelling interactions of polycyclic aromatic hydrocarbons during soot formation”
Raphael Shirley, PhD (2011), “Theoretical Insights into the Combustion Synthesis of Titanium Dioxide Nanoparticles”
Jethro Akroyd, PhD (2011), “Mean reaction rate closures for nanoparticle formation in turbulent reacting flow”
Markus Sander, PhD (2011), “Mathematical modelling of nanoparticles from the gas-phase”
Andreas Braumann, PhD (2011), “Multidimensional modelling of granulation”
Jon Etheridge, PhD (2010), “Modelling the SI-HCCI transition in a GDI internal combustion engine”
Haiyun Su, PhD (2010), “Stochastic reactor models for simulating direct injection HCCI engines”
Abhijeet Raj, PhD (2010), “Formation, growth and oxidation of soot: A numerical study”
Christopher Handscomb, PhD (2008), “Simulating drying and particle formation in spray drying towers”
Richard West, PhD (2008), “Modelling the chlorine process for titanium dioxide synthesis”
Neal Morgan, PhD (2008), “Numerical modelling of the growth of nanoparticles”
Matthew Celnik, PhD (2007), “On the numerical modelling of soot and carbon nanotube formation”
Mike J. Goodson, PhD (2007), “Stochastic solution of multi-dimensional population balances”
Robert Patterson, PhD (2007), “Detailed modelling of aggregation processes”
Sebastian Mosbach, PhD (2006), “Explicit stochastic and deterministic simulation methods for combustion chemistry”
Jasdeep Singh, PhD (2006), “Dynamics of nano-particles in turbulent flows”
Amit Bhave, PhD (2004), “Stochastic reactor models for homogeneous charge compression ignition engines”
Songyi Deng, CPGS (2019) “Development of an ontology for combustion experiments”
Wongsathorn Jiraphanvanich, MPhil (2015), “Computational investigation of the growth and oxidation of carbon nanoparticles”
Zakwan Zainuddin, CPGS (2015), “Polycyclic aromatic hydrocarbon (PAHs) modelling in flames”
Je Hyeong Hong, CPGS (2014), “Optimisation and Bayesian parameter estimation for a kinetic n-propylbenzene oxidation model”
Edward White, CPGS (2012), “SPSA for computational model development”
Anthony N. Knobel, CPGS (2001), “Monte Carlo methods as a simulation tool for predicting combustion emissions”