Hemaka Bandulasena graduated with a BSc with Honors in Chemical Engineering from the University of Moratuwa, Sri Lanka. He gained his PhD from the University of Sheffield, UK (Microfluidic Inference of Rheology of Complex fluids). This was followed by three years of research in the Fluidics group at the University of Sheffield as a post-doctoral research associate. In February 2012, Hemaka joined Loughborough University, UK as a lecturer in Chemical Engineering, then became a Senior Lecturer in 2016 and Reader in 2022. Hemaka was the Director of Doctoral Programmes in the School of Aeronautical, Automotive, Chemical and Materials Engineering from 2019 to 2022. He is a Charted Engineer, a Fellow of the Institution of Chemical Engineers, and a Fellow of the Higher Education Academy of the UK. His research interests include bio-based fuels and chemicals, microbubbles, microfluidics, foam electrokinetics, computational modelling, inverse methods, and high-efficiency bioreactors.
Research Keywords & Expertise
microbubbles
Biochemicals productio...
Biofuels (biodiesel, b...
Fingerprints
39%
microbubbles
Short Biography
Hemaka Bandulasena graduated with a BSc with Honors in Chemical Engineering from the University of Moratuwa, Sri Lanka. He gained his PhD from the University of Sheffield, UK (Microfluidic Inference of Rheology of Complex fluids). This was followed by three years of research in the Fluidics group at the University of Sheffield as a post-doctoral research associate. In February 2012, Hemaka joined Loughborough University, UK as a lecturer in Chemical Engineering, then became a Senior Lecturer in 2016 and Reader in 2022. Hemaka was the Director of Doctoral Programmes in the School of Aeronautical, Automotive, Chemical and Materials Engineering from 2019 to 2022. He is a Charted Engineer, a Fellow of the Institution of Chemical Engineers, and a Fellow of the Higher Education Academy of the UK. His research interests include bio-based fuels and chemicals, microbubbles, microfluidics, foam electrokinetics, computational modelling, inverse methods, and high-efficiency bioreactors.