DrMehmet Mercangoz
ABB Associate Professor in Autonomous Industrial Systems
Department of Chemical Engineering - Faculty of Engineering
Orcid identifier0000-0002-4449-0414 (opens in a new tab)
- ABB Associate Professor in Autonomous Industrial SystemsDepartment of Chemical Engineering - Faculty of Engineering
- 517, ACE Extension, South Kensington Campus, United Kingdom
BIO
Research interests
In my group we conduct research to create intelligent systems, which can work autonomously and in collaboration with humans to increase the safety, reliability, and productivity of industrial processes and energy systems. For this purpose, we leverage process modelling, model predictive control, optimization, and machine learning.
Our research has been applied across a diverse range of industries, including gas compression systems, power generation, pulp and paper production, thermal energy storage, and heat pumps. A key objective of our work is to drive the transition to sustainable and zero-emission industrial processes, positioning our innovations to play a pivotal role in the future of industrial operations.
Information on my publication records can be found through my GoogleScholar profile.
Biography
Date
Role
2021 -
ABB Reader in Autonomous Industrial Systems at Imperial College London
2019-2021
Technology Manager Artificial Intelligence - ABB Future Labs
2018-2019
Senior Principal Scientist - ABB Corporate Research Switzerland
2012-2018
Group Leader Control and Optimization - ABB Corporate Research Switzerland
2007-2012
Scientist and Principal Scientist - ABB Corporate Research Switzerland
2002-2007
PhD in Chemical Engineering, Department of Chemical Engineering, University of California, Santa Barbara
2000-2002
MSc in Chemical Engineering, Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey
1996-2000
BSc in Chemical Engineering, Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey
In my group we conduct research to create intelligent systems, which can work autonomously and in collaboration with humans to increase the safety, reliability, and productivity of industrial processes and energy systems. For this purpose, we leverage process modelling, model predictive control, optimization, and machine learning.
Our research has been applied across a diverse range of industries, including gas compression systems, power generation, pulp and paper production, thermal energy storage, and heat pumps. A key objective of our work is to drive the transition to sustainable and zero-emission industrial processes, positioning our innovations to play a pivotal role in the future of industrial operations.
Information on my publication records can be found through my GoogleScholar profile.
Biography
Date
Role
2021 -
ABB Reader in Autonomous Industrial Systems at Imperial College London
2019-2021
Technology Manager Artificial Intelligence - ABB Future Labs
2018-2019
Senior Principal Scientist - ABB Corporate Research Switzerland
2012-2018
Group Leader Control and Optimization - ABB Corporate Research Switzerland
2007-2012
Scientist and Principal Scientist - ABB Corporate Research Switzerland
2002-2007
PhD in Chemical Engineering, Department of Chemical Engineering, University of California, Santa Barbara
2000-2002
MSc in Chemical Engineering, Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey
1996-2000
BSc in Chemical Engineering, Department of Chemical Engineering, Boğaziçi University, Istanbul, Turkey
FACULTY
- Faculty of Engineering
POSITION NAME
- ABB Associate Professor in Autonomous Industrial S