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

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

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Former group members

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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