Sandro is a Professor of Process Systems Engineering in the Department of Chemical Engineering, a Director of the cross-faculty Energy Futures Lab and a Member of the Court of Imperial College (Engineering).
His research expertise include the application of mathematical methods to process design, control and operation, and the development of model-based experiment design techniques for rapid model development and validation. More recently, he has become interested in the use of systems methods for the analysis, development and optimisation of sustainable energy systems, with particular applications in the biofuels area.
Interested in exploring the relation between people and research environment to generate sparks, he has promoted the creation of innovative mechanisms for fast track research, such as a successful Process Concept Studio, and interfaces between academia and industry. He co-founded and was a director of the interdisciplinary Centre for Process Systems Engineering, launched one of the first Imperal College spinouts and has been a driving force behind the formation of the Energy Futures Lab.
Sandro is a visiting professor at the University of Padova, Italy, a member of the Advisory Board of ENSIACET (Institut National Politechnique) in Toulouse, France, a member of the Chatham House based Asia Pacific Technology Network, and a frequently invited speaker on technology and R&D policy.
He was made a Cavaliere of the Order of Merit of the Italian Republic by its President in 2004.
Coletti F, Macchietto S, 2011, A Dynamic, Distributed Model of Shell-and-Tube Heat Exchangers Undergoing Crude Oil Fouling, Industrial & Engineering Chemistry Research, Vol:50, ISSN:0888-5885, Pages:4515-4533
Franceschini G, Macchietto S, 2008, Novel anticorrelation criteria for model-based experiment design: Theory and formulations, AICHE Journal, Vol:54, ISSN:0001-1541, Pages:1009-1024
Coletti F, Macchietto S, 2011, Refinery Pre-Heat Train Network Simulation Undergoing Fouling: Assessment of Energy Efficiency and Carbon Emissions, Heat Transfer Engineering, Vol:32, ISSN:0145-7632, Pages:228-236
et al., 2009, Optimal Design of Clinical Tests for the Identification of Physiological Models of Type 1 Diabetes Mellitus, Industrial & Engineering Chemistry Research, Vol:48, ISSN:0888-5885, Pages:1989-2002