Summary
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 plants and processes. For this purpose, we leverage process modelling, model predictive control, optimization, and machine learning.
Our methods and solutions have been applied for the operation of gas compressors, power plants, pulp and paper production, heat pumps, and electro-thermal energy storage systems. We aim to extend the application of our methods to support the transition to zero-emission industrial processes via electrification and the use of sustainable fuels and energy conversion technologies.
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 |
Publications
Journals
Yu D, Liu T, Wang K, et al., 2024, Transformer based day-ahead cooling load forecasting of hub airport air-conditioning systems with thermal energy storage, Energy and Buildings, Vol:308, ISSN:0378-7788
Ahmed A, Rio-Chanona EAD, Mercangoez M, 2023, Linearizing nonlinear dynamics using deep learning, Computers & Chemical Engineering, Vol:170, ISSN:0098-1354
Zagorowska M, Degner M, Ortmann L, et al., 2023, Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression, Journal of Process Control, Vol:121, ISSN:0959-1524, Pages:119-133
Liu T, Chen S, Yang P, et al., 2023, Lifelong learning meets dynamic processes: an emerging streaming process prediction framework with delayed process output measurement, Ieee Transactions on Control Systems Technology, Vol:32, ISSN:1063-6536, Pages:384-398
Zhuang Y, Liu Y, Ahmed A, et al., 2022, A hybrid data-driven and mechanistic model soft sensor for estimating CO<sub>2</sub> concentrations for a carbon capture pilot plant, Computers in Industry, Vol:143, ISSN:0166-3615