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I obtained my PhD from The University of Manchester in 2013. Prior to this, I received a BSc and MSc in Mathematics and Financial Mathematics from King's College London in 2006 and 2007 respectively. I have been a member of the School of Computer Science and Mathematics, Kingston University London since 2013. My current research interests include applications of game theory and optimal stopping in energy, finance and cyber security.
Abedrabboh, Khaled, Pilz, Matthias, Al-Fagih, Zaid, Al-Fagih, Othman S., Nebel, Jean-Christophe and Al-Fagih, Luluwah (2021) Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak. PLOS ONE, 16(2), e0246110. ISSN (online) 1932-6203
Pilz, Matthias and Al-Fagih, Luluwah (2020) A dynamic game approach for demand-side management : scheduling energy storage with forecasting errors. Dynamic Games and Applications, 10, pp. 897-929. ISSN (print) 2153-0785
Pilz, M., Baghaei Naeini, F., Grammont, K., Smagghe, C., Davis, M., Nebel, J.-C., Al-Fagih, L. and Pfluegel, E. (2020) Security attacks on smart grid scheduling and their defences : a game-theoretic approach. International Journal of Information Security, 19, pp. 427-443. ISSN (print) 1615-5262
Zain ul Abideen, Mohammad, Ellabban, Omar and Al-Fagih, Luluwah (2020) A review of the tools and methods for distribution networks' hosting capacity calculation. Energies, 13(11), p. 2758. ISSN (online) 1996-1073
Namany, Sarah, Govindan, Rajesh, Alfagih, Luluwah, McKay, Gordon and Al-Ansari, Tareq (2020) Sustainable food security decision-making : an agent-based modelling approach. Journal of Cleaner Production, ISSN (print) 0959-6526
Pilz, Matthias, Ellabban, Omar and Al-Fagih, Luluwah (2019) On optimal battery sizing for households participating in demand-side management schemes. Energies, 12(18), p. 3419. ISSN (online) 1996-1073
Pilz, Matthias and Al-Fagih, Luluwah (2019) Recent advances in local energy trading in the smart grid based on game-theoretic approaches. IEEE Transactions on Smart Grid, 10(2), pp. 1363-1371. ISSN (print) 1949-3053
Pilz, Matthias, Al-Fagih, Luluwah and Pfluegel, Eckhard (2017) Energy storage scheduling with an advanced battery model : a game–theoretic approach. Inventions, 2(4), p. 30. ISSN (online) 2411-5134
Alarrouqi, Rafah Ahmed, Ellabban, Omar and Al-Fagih, Luluwah (2020) An assessment of different load demands on photovoltaic plus battery storage system profitability : a case study of Australia. In: 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE); 17 - 19 Jun 2020, Delft, Netherlands (held online).
Masood, Bilal, Song, Guobing, Al-Fagih, Luluwah, Hou, Junjie and Asif, Rao M. (2020) Investigation and wideband modeling of LCC based ±800 kV UHVDC converter station for electromagnetic disturbance. In: 2020 International Conference on Engineering and Emerging Technologies (ICEET); 22 - 23 Sep 2020, Lahore, Pakistan.
Al Arrouqi, Rafah Ahmed, Ellabban, Omar, Rasheed, Muhammad Babar and Al-Fagih, Luluwah (2019) An assessment of different electricity tariffs on residential photovoltaic system profitability : Australian case study. In: 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE); 19-21 Nov 2019, Doha, Qatar.
ul Abideen, Mohammad Zain, Ellabban, Omar, Refaat, Shady S., Abu-Rub, Haitham and Al-Fagih, Luluwah (2019) A novel methodology to determine the maximum PV penetration in distribution networks. In: 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE); 19-21 Nov 2019, Doha, Qatar.
Pilz, Matthias and Al-Fagih, Luluwah (2019) Selfish energy sharing in prosumer communities : a demand-side management concept. In: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm); 21-23 Oct 2019, Beijing, China.
Pilz, Matthias, Nebel, Jean-Christophe and Al-Fagih, Luluwah (2018) A practical approach to energy scheduling : a game worth playing? In: 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe); 21 Oct - 25 Oct 2018, Sarajevo, Bosnia-Herzegovina.
Al-Fagih, Luluwah (2014) The American knock-out put option. (Discussion Paper) Manchester, U.K. : Probability and Statistics Group, University of Manchester. 17 p. (Research Report, no. 3) (Unpublished)