School of Engineering

 

Prof Randhir Rawatlal

Associate Professor

Professor Rawatlal’s interests lie in both teaching and research, involving mathematical modelling of reaction systems and  unsteady state systems.

These topics are both applied and theoretical in nature, with fundamental contributions having been made in Population Balance theory. Both have applications in catalysed polymerization systems, the bioleaching of sulphide ores, bubble columns, hydrogen fuel cells and even students. In the latter, students are the particles and the reactor is the curriculum!

New areas of interest include: Artificial Intelligence and Big Data.