I lead the AI4NetZero research group at Heriot-Watt University in Edinburgh. Our team is at the forefront of exploring innovative solutions to address the NetZero challenge. We pioneer efficient engineering methods across a range of applications. Our unique approach combines scientific computing, machine learning, optimization, and control of large-scale computational models, such as fluid flow, hydrology, and subsurface CO2 storage, to tackle this pressing global challenge.
Recent UKRI funded projects
Recent Industrially funded projects
Deep Learning for Seismic Imaging and Interpretation project
Representation and Generation of stochastic fields using GANs
Open source packages
- Gym-preCICE an open source library to facilitate the development of Reinforcement Learning (RL) environments for single- and multi-physics active flow control (AFC) applications
- polychaos-learn an open source Polynomial Chaos Expansions library for surrogate modeling, uncertainty quantification and optimal experimental design
Group members
Former group members
Collaborators
- Mary F. Wheeler, The University of Texas at Austin [webpage]
- Ibrahim Hoteit, King Abdullah University of Science and Technology [webpage]
- Christopher Pain, Imperial College London [webpage]
- Ivan Lunati, Empa - Swiss Federal Laboratories for Materials Science and Technology [webpage]
- James Irving, University of Lausanne [webpage]
- Masoud Babaei, University of Manchester [webpage]
- Florian Doster, Heriot-Watt University [webpage]
- Sergey Alyaev, NORCE Norwegian Research Centre [webpage]
- Morteza Haghighat Sefat, Heriot-Watt University [webpage]
- Corinna Köpke, Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut EMI [webpage]
- Laureline Josset, Water Centre at Columbia University [webpage]
- Andreas Størksen Stordal, NORCE Norwegian Research Centre [webpage]
- Saeeda AlAmeri, ADNOC Group [webpage]
Contact details
Email: <a.elsheikh> at Heriot-Watt address <hw.ac.uk>
Post: Heriot-Watt University, Edinburgh, EH14 1AS, UK
Tel: +44 (0)131 451 8304
Fax: +44 (0)131 451 3127