Dr Mohammad Ali Javaheri Javid

PhD, MSc (AI), MSc (IS&T), PGD, BA

I am a computer scientist, technology consultant and researcher in artificial intelligence. I have designed and developed several novel computational techniques in areas of artificial intelligence. These include Kolmogorov complexity for 2D patterns, spatial complexity measure and swarm intelligence optimisation.

As active academic researcher in the field of artificial intelligence, my current research focuses on synthesis and simulation of biological systems, computational intelligence, cyber-physical systems and machine learning.

Publications

M. A. Javaheri Javid, Alghamdi, W., M. M. al-Rifaie, A. Ursyn, and R. Zimmer, “Swarmic Approach for Symmetry Detection of Cellular Automata Behaviour”, Soft Computing, 2017, 21(19), 5585-5599, (Journal).

M. M. al-Rifaie, A. Ursyn, R. Zimmer, M. A. Javaheri Javid, “On Symmetry, Aesthetics and Quantifying Symmetrical Complexity”, Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2017, 17-32.

M. A. Javaheri Javid, Alghamdi W., Zimmer R., M. M. al-Rifaie, “A Comparative Analysis of Detecting Symmetries in Toroidal Topology”, Intelligent Systems and Applications. Studies in Computational Intelligence, 2016, 323-344, (Chapter).

M. A. Javaheri Javid, T. Blackwell, R. Zimmer, M. M. al-Rifaie, “Analysis of Information Gain and Kolmogorov Complexity for Structural Evaluation of Cellular Automata Configurations”, Connection Science, 28(2), 2016, 155-170, (Journal).

M. A. Javaheri Javid, M. M. al-Rifaie, and R. Zimmer, “Swarm Intelligence Approach in Detecting Spatially Independent Symmetries in Cellular Automata”, SAI Intelligent Systems Conference (IntelliSys), 2015, 632-639.

M. A. Javaheri Javid, T. Blackwell, R. Zimmer, M. M. al-Rifaie, “Correlation Between Human Aesthetic Judgement and Spatial Complexity Measure”, Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2016, 79-91.

M. A. Javaheri Javid, T. Blackwell, M. M. al Rifaie, and R. Zimmer, “Information Gain Measure for Structural Discrimination of Cellular Automata Configurations”, 7th Computer Science and Electronic Engineering Conference (CEEC), 2015, 47-52.

M. A. Javaheri Javid, R. Zimmer, A. Ursyn, and M. M. al-Rifaie, “A Quantitative Approach for Detecting Symmetries and Complexity in 2D Plane”, Theory and Practice of Natural Computing, 2015, 150-160.

M. A. Javaheri Javid, M. M. al-Rifaie, and R. Zimmer, “An Informational Model for Cellular Automata Aesthetic Measure”, AISB 2015 Second International Symposium on Computational Creativity, 2015, 9-15, (Best Paper Prize).

M. A. Javaheri Javid, T. Blackwell, R. Zimmer, and M. M. al Rifaie, “Spatial Complexity Measure for Characterising Cellular Automata Generated 2D Patterns”, Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, 2015, 201-212.

M. A. Javaheri Javid, M. M. al-Rifaie, and R. Zimmer, “Detecting Symmetry in Cellular Automata Generated Patterns using Swarm Intelligence”, Theory and Practice of Natural Computing, 2014, 83-94.

M. A. Javaheri Javid and Rene te Boekhorst, “Cell Dormancy in Cellular Automata”, International Conference on Computational Science, 2006, 367-374.

Research Portfolio

Aesthetic Automata: Synthesis and Simulation of Aesthetic Behaviour in Cellular Automata, PhD thesis supervised by Prof Robert Zimmer and Prof Mark d'Inverno (Goldsmiths, University of London).

Cell Dormancy in Cellular Automata: A Realistic Model of Biological Systems, MSc thesis supervised by Dr Rene te Boekhorst (University of Hertfordshire).

An Analytical Model for Measuring Operational Risk Associated with Information Systems, MSc thesis supervised by Prof. Vesna Brujic-Okretic (City, University London).

Research Interests

  • Artificial Intelligence
    Artificial Life
    Dynamical Systems
    Cellular Automata
    Computational Complexity
    Computational Aesthetics
    Spatial-Temporal Modelling
    Cybernetics
    Interactive Systems
    Particle Swarm Optimisation
    Machine Learning
    Data Mining

Award

Education

  • PhD Computer Science
    Goldsmiths, University of London
    2014-2017
  • MSc Artificial Intelligence
    University of Hertfordshire
    2004-2005
  • MSc Information Systems & Technology
    City, University of London
    2003-2004
    • PGD Business Administration
    University of Surrey
    2002-2003

Media

Computer Art