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Papers

2017

  • Haytham M. Fayek.
    MatDL: A lightweight deep learning library in MATLAB.
    The Journal of Open Source Software, vol. 2, no. 19, pp. 413, Nov 2017.
    [ pdf ] [ code ] [ url ] [ bib ]

  • Haytham M. Fayek, Laurens van der Maaten, Griffin D. Romigh, and Ravish Mehra.
    On data-driven approaches to head-related transfer function personalization.
    In Audio Engineering Society Convention 143, New York, USA, Oct 2017.
    [ url ] [ bib ]

  • Haytham M. Fayek, Margaret Lech, and Lawrence Cavedon.
    Evaluating deep learning architectures for speech emotion recognition.
    Neural Networks, vol. 92, pp. 60-68, Aug 2017.
    [ url ] [ bib ]

2016

  • Haytham M. Fayek.
    A deep learning framework for hybrid linguistic-paralinguistic speech systems.
    In 2nd Doctoral Consortium at Interspeech, Berkeley, USA, Sep 2016.
    [ pdf ] [ url ] [ bib ]

  • Haytham M. Fayek, Margaret Lech, and Lawrence Cavedon.
    On the correlation and transferability of features between automatic speech recognition and speech emotion recognition.
    In Interspeech, San Francisco, USA, Sep 2016, pp. 3618-3622.
    [ pdf ] [ url ] [ slides ] [ bib ]

  • Haytham M. Fayek, Margaret Lech, and Lawrence Cavedon.
    Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels.
    In 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul 2016, pp. 566-570.
    [ url ] [ poster ] [ bib ]

2015

  • Haytham M. Fayek, Margaret Lech, and Lawrence Cavedon.
    Towards real-time speech emotion recognition using deep neural networks.
    In 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, Australia, Dec 2015, pp. 1-5.
    [ url ] [ bib ]

2014

  • P. N. Q. Nhon, Irraivan Elamvazuthi, Haytham M. Fayek, S. Parasuraman, and M.K.A. Ahamed Khan.
    Intelligent control of rehabilitation robot: Auto tuning PID controller with interval type 2 fuzzy for DC servomotor.
    Procedia Computer Science, vol. 42, pp. 183-190, Dec 2014. Medical and Rehabilitation Robotics and Instrumentation (MRRI2013).
    [ url ] [ bib ]

  • Haytham M. Fayek, Irraivan Elamvazuthi, N. Perumal, and Bala Venkatesh.
    A controller based on optimal type-2 fuzzy logic: Systematic design, optimization and real-time implementation.
    ISA Transactions, vol. 53(5), pp. 1583-1591, Sep 2014.
    [ url ] [ bib ]

  • Haytham M. Fayek, Irraivan Elamvazuthi, N. Perumal, and Bala Venkatesh.
    The impact of DFIG and FSIG wind farms on the small signal stability of a power system.
    In 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), Kuala Lumpur, Malaysia, Jun 2014, pp. 1-6.
    [ url ] [ slides ] [ bib ]

2013

  • Haytham M. Fayek, and Irraivan Elamvazuthi.
    Real-time implementation of a type-2 fuzzy logic controller to control a DC servomotor with different defuzzification methods.
    In 2013 18th International Conference on Methods and Models in Automation and Robotics (MMAR), Miedzyzdroje, Poland, Aug 2013, pp. 86-91.
    [ url ] [ bib ] [Runner up Best Young Author]

2012

  • Haytham M. Fayek, and Irraivan Elamvazuthi.
    Type-2 fuzzy logic PI (T2FLPI) based DC servomotor control.
    Journal of Applied Sciences Research, vol. 8(5), pp.2564–2574, 2012.
    [ pdf ] [ bib ]




Patent

  • Irraivan Elamvazuthi, and Haytham M. Fayek.
    Method for controlling a high speed DC servomotor that controls a robotic arm for the PCB industry (FT2RC).
    Patent Filing No. PI2012700978, Nov 2012.




Theses

  • Haytham M. Fayek.
    Systematic design Of optimal type II fuzzy logic controllers with applications to wind power.
    MSc Thesis, Department of Electrical and Electronics Engineering, Petronas University, 2014.

  • Haytham M. Fayek.
    Fuzzy logic based motor control.
    BEng Thesis, Department of Electrical and Electronics Engineering, Petronas University, 2012.