معرفی
Stelios Rigopoulos is a Professor (Reader in Thermofluids) at Imperial College London's Department of Mechanical Engineering, part of the Faculty of Engineering. He holds a PhD in Chemical Engineering from UCL and has held academic positions at the University of Manchester and Imperial College London since 2010. His research focuses on advanced computational methods, including population balance, machine learning, and CFD, applied to environmental and engineering challenges like aerosols, nanoparticles, and net-zero energy systems.
Education: MEng (Chemical Engineering, Aristotle University of Thessaloniki, 1997), MSc (Environmental Technology, UMIST, 1999), PhD (Chemical Engineering, UCL, 2003).
Research interests include machine learning for sustainable energy, contrail climate impacts, volcanic ash dynamics, and CFD-PBE modelling. His group developed CPMOD, an open-source population balance solver, and authored the monograph 'Population Balance of Particles in Flows.'
Awards include the Royal Society University Research Fellowship (2007 Hinshelwood Prize). His work addresses net-zero fuels, aerosol dynamics, and nanoparticle synthesis for battery materials.
