Mohammad Majid al-Rifaie

Dr Mohammad Majid al-Rifaie

Associate Professor in Artificial Intelligence

Dr Mohammad Majid al-Rifaie is an Associate Professor in Artificial Intelligence at the University of Greenwich, School of Computing and Mathematical Sciences. He holds a PhD in Artificial Intelligence and Computational Swarm Intelligence (CSI) from Goldsmiths, University of London, and since the start of his PhD, he has published extensively in the field, covering various applications of CSI, Evolutionary Computation (EC), Machine Learning (ML) and Deep Neural Networks (DNNs). He has taught in the higher education for more than a decade, several of which relevant to CSI, AI, their real-world applications as well as philosophical issues on artificial intelligence and arts. His work in the area has featured multiple times in the media including the British Broadcasting Corporation (BBC).

Over the past 10 years, he has developed a unique interdisciplinary research profile with more than 80 peer-reviewed publications including, book chapters, journal and conference papers on CSI, EC, ML and DNNs as well as their applications in medical imaging, data science, philosophy and arts. In addition to speaking few human languages, he speaks around a dozen machine languages. He has supervised (and is supervising) several PhD students and is welcoming proposals from prospective PhD students who are willing to research the aforementioned areas.

PhD from Goldsmiths, University of London, 2012
BSc from University of London, First Class Honours, 2005

Computer science and computing

Computer science and informatics

Awards
  • Vice-Chancellor Scholarship for 3 PhD students, as 1st, 2nd and 3rd supervisor (each £75k, over 3 years)
  • Best Paper Award at EvoMUSART 2019 (Evolutionary Music and Art): Swarm-based identification of animation key points from 2D-medialness maps, (Germany, Leipzig, 2019)
  • Luz Robotic Project (VIDA 13.0) Sponsored by Fundación Telefónica, Artistic production incentives award, (London, United Kingdom, 2012-14)
  • Best Paper Award at NICSO 2011 (Nature Inspired Cooperative Strategies for Optimization): Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm, (Romania, Cluz, 2011)
  • Best Project Prize at BCBT (Barcelona Cognition, Brain and Technology): iCub robot is learning, a collaborative approach for Robotic (iCub), Neural Network (Facial Expression Recognition) and Reinforcement Learning, (Spain, Barcelona, 2009)
  • Best Presentation Award at British Computer Society (BCS): The integration of Stochastic Diffusion Search into Particle Swarm Optimisation (Doctoral Consortium BCS, London, United Kingdom, 2009)

Recognition
  • Invited member of the Royal Society: Society's International Exchanges Committee
  • Member of Funding Review Board for Engineering and Physical Sciences Research Council (EPSRC), Medical Research Council (MRC), Future Leaders Fellowships (UK Research and Innovation)
  • Member of the Editorial Review Board at IEEE Transaction in Evolutionary Computation
  • Member of the Editorial Review Board at The Genetic and Evolutionary Computation Conference (GECCO)
  • The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) Committee Member (elected 2009-present), Editor: 2017-19
  • euCognition Member
  • Association for the Advancement of Artificial Intelligence (AAAI) Member
  • Fellow at the Higher Education Academy, FHEA

Research / Scholarly interests
  • Artificial Intelligence
  • Swarm Intelligence and Evolutionary Computation
  • Machine Learning
  • Medical Imaging and Healthcare
  • Computational Creativity

Media activity
  • BBC Radio 4: The Digital Human (2023)
  • New Scientist (2022)
  • Director, Editor and co-Producer of the documentary "The Jungle Book", (to be release in 2024)
  • The Guardian, On Harold Cohen's Life, obituary, (Wed 8 June 2016)
  • BBC Click, Robotics, Artificial Intelligence and Creativity (4 June 2016)
  • BBC Click, Computational and Machine Creativity (6 November 2014)
  • House of Commons, UK Parliament, Presentation on Ants Intelligence: Identifying Traces of Cancer, SET for BRITAIN, (18 March 2013)
  • Digital Art Gallery, Swarmic Sketches and Painting with Swarm Regulated Attention Mechanism, at IV2013 (London) & CGIV2013 (Macau, China), (2013)
  • Qwartz TV, Artificial Intelligence, Physiology & Art, in Paris, France, May (2011)
  • Digital Art Gallery, When birds and ants set off to draw, IV2011 (London) & CGIV2011 (Singapore), (2011)

Recent publications

Article

Basu, Aniket , Oroojeni, Hooman, Samakovitis, Georgios, Al-Rifaie, Mohammad Majid (2024), Three-dimensional drone cell placement: drone placement for optimal coverage. MDPI. In: , , , . MDPI, Future Internet, 16: 401 (11) 1999-5903 (Online) (doi: https://doi.org/10.3390/fi16110401).

Al-Rifaie, Mohammad Majid and , Cavazza, Marc (2022), Evolutionary optimisation of beer organoleptic properties: a simulation framework. MDPI. In: , , , . MDPI, Foods, 11: 351 (3) 2304-8158 (Online) (doi: https://doi.org/10.3390/foods11030351).

Al-Rifaie, Mohammad Majid and , (2021), Exploration and exploitation zones in a minimalist swarm optimiser. MDPI. In: , , , . MDPI, Entropy, 23: 977 (8) ISSN: 1099-4300 (Print), (doi: https://doi.org/10.3390/e23080977).

Al-Rifaie, Mohammad Majid , Fol Leymarie, Frédéric, Latham, William, Bishop, Mark (2017), Swarmic autopoiesis and computational creativity. Taylor & Francis. In: , , , . Taylor & Francis, Connection Science, 29 (4) . pp. 276-294 ISSN: 0954-0091 (Print), 1360-0494 (Online) (doi: https://doi.org/10.1080/09540091.2016.1274960).

Book

Al-Rifaie, Mohammad Majid , Ursyn, Anna, Wyeld, Theodor (2020), The Art of Coding: The Language of Drawing, Graphics, and Animation. Chapman and Hall/CRC. In: , , , . Chapman and Hall/CRC, New York (1st) . ISBN: 9781138629646 (doi: https://doi.org/10.1201/b22094).

Conference proceedings

Al-Rifaie, Mohammad Majid and , Blackwell, Tim (2023), Tomographic reconstruction with search space expansion. Association of Computing Machinery (ACM). In: Genetic and Evolutionary Computation Conference (GECCO 2023), , Lisboa, Portugal In: Sara Silva, Luís Paquete, GECCO Conference Committee (eds.), GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. Lisbon, Portugal. July 15th - 19th 2023. Association of Computing Machinery (ACM), New York (1st) . pp. 1286-1293 . ISBN: 9798400701191 (doi: https://doi.org/10.1145/3583131.3590372).

Al-Rifaie, Mohammad Majid and , Blackwell, Tim (2022), Swarm led tomographic reconstruction. In: Proceedings of the Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston , GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. , . pp. 1121-1129 . ISBN: 9781450392372 (doi: https://doi.org/10.1145/3512290.3528737).

Al-Rifaie, Mohammad Majid and , Blackwell, Tim (2022), Swarm optimised few-view binary tomography. Springer. In: International Conference on the Applications of Evolutionary Computation, 20-22 April 2022, Mardrid , Applications of Evolutionary Computation 25th European Conference, EvoApplications 2022. Springer, , 13224 . pp. 30-45 . ISBN: 9783031024610ISSN: 0302-9743 (Print), 1611-3349 (Online) (doi: https://doi.org/10.1007/978-3-031-02462-7_3).

Al-Rifaie, Mohammad Majid and , (2021), Investigating knowledge-based exploration-exploitation balance in a minimalist swarm optimiser. Institute of Electrical and Electronics Engineers (IEEE). In: 2021 IEEE Congress on Evolutionary Computation (CEC), , In: CIS Computational Intelligence Society (ed.), 2021 IEEE Congress on Evolutionary Computation (CEC). Poland, Krakow. 28.06-.01.07. 2021. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. US (1st) . pp. 2273-2280 . ISBN: 9781728183930/21 ; 9781728183930 ; 9781728183923 ; 9781728183947 (doi: https://doi.org/10.1109/CEC45853.2021.9504805).

Aparajeya, Prashant , Leymarie, Frederic Fol, Al-Rifaie, Mohammad Majid (2019), Swarm-based identification of animation key points from 2D-medialness maps. Springer International Publishing. In: Computational Intelligence in Music, Sound, Art and Design, 24-26 April, Leipzig, Germany In: Anikó Ekárt, Antonios Liapis, María Luz Castro Pena (eds.), EvoMUSART 2019: Computational Intelligence in Music, Sound, Art and Design. Springer International Publishing, Cham . pp. 69-83 . ISBN: 9783030166663 (doi: https://doi.org/10.1007/978-3-030-16667-0_5).

Oroojeni, Hooman , Al-Rifaie, Mohammad Majid, Nicolaou, Mihalis A (2018), Deep neuroevolution: training deep neural networks for false alarm detection in intensive care units. Institute of Electrical and Electronics Engineers (IEEE). In: 2018 26th European Signal Processing Conference (EUSIPCO), , In: Patrizio Campisi, Sergio Barbarossa, Pedro Comesaña Alfaro, Augusto Sarti, Committee EUSIPCO 2018 (eds.), 2018 26th European Signal Processing Conference (EUSIPCO). Rome, Italy. 3-7 Sept. 2018. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. US (1st) . pp. 1157-1161 . ISBN: 9789082797015; 9789082797008; 9781538637364ISSN: 2219-5491 (Print), 2076-1465 (Online) (doi: https://doi.org/10.23919/EUSIPCO.2018.8552944).

Alhakbani, Haya and , Al-Rifaie, Mohammad Majid (2017), Feature selection using stochastic diffusion search. ACM. In: Proceedings of the Genetic and Evolutionary Computation Conference, , , GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference. ACM, . pp. 385-392 . ISBN: 9781450349208 (doi: https://doi.org/10.1145/3071178.3079193).

Working paper

Al-Rifaie, Mohammad Majid and , (2018), Swarm Intelligence and Evolutionary Techniques for Real World Applications. University of Greenwich. In: , , , . University of Greenwich, (doi: ).

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