Prof. Dr. Bradley P. Ladewig
Prof. Dr. Bradley P. Ladewig

Professor of Energy Process Engineering

About Me

Professor of Energy Process Engineering and Paul Wurth Chair at the University of Luxembourg, leading activities in hydrogen-related materials and systems. Vice-Dean of the Faculty of Science, Technology and Medicine.

I was previously a research group leader in the Institute for Micro Process Technology (IMVT) at Karlsruhe Institute of Technology, developing novel in-situ diagnostic techniques for micro-structured process devices, including reactors, heat exchanges, membrane systems and photochemical reactors.

Experienced in developing research concepts, securing funding, recruiting research students, publishing outcomes, obtaining protection for intellectual property, and closing out projects.

Keen lecturer and member of the Chemical Engineering community, in particular through the Institution of Chemical Engineers, of which I am a Fellow (FIChemE). Also a Chartered Engineer (CEng) and Fellow of the Royal Society of Chemistry (FRSC). Proud former Chevening Scholar and Humboldtian.

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Interests
  • Green hydrogen
  • Advanced materials
  • Membrane separations
Education
  • PhD Chemical Engineering

    The University of Queensland

  • Bachelor of Engineering (Chemical) Hons I

    The University of Queensland

  • Graduate Certificate in Higher Education

    Monash University

  • Cambridge Senior Management Programme

    Cambridge Judge Business School, Cambridge University

Featured Publications
Recent Publications
(2024). Recent Advances in Microporous Materials Membrane for Hydrogen Separation against Light Gases. Energy & Environmental Materials.
(2024). Recent Advances in Microporous Materials Membrane for Hydrogen Separation against Light Gases. ChemRxiv.
(2024). Extraction of the intrinsic rate constant for a photocyclization reaction in capillary microreactors using a simplified reactor model. Reaction Chemistry and Engineering.
(2024). Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer. APL Machine Learning.
(2023). Potential application of hybrid forward osmosis – Membrane distillation (FO-MD) system for various water treatment processes. Process Safety and Environmental Protection.
Recent & Upcoming Talks