prof.

Aamir Saeed Malik

Ph.D.

Professor

+420 54114 1055
malik@fit.vut.cz
L305 PC Architecture Laboratory
236418/BUT personal ID

Publications

  • 2024

    ARIF Muhammad, REHMAN (ur) Faizan, SEKANINA Lukáš and MALIK Aamir Saeed. A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications. Journal of Neural Engineering, vol. 21, no. 5, 2024, pp. 1-25. ISSN 1741-2552.
    Detail

    AMIN Ullah Hafeez, AHMED Amr, YUSOFF Zuki Mohd, MOHAMAD Saad Mohamad Naufal and MALIK Aamir Saeed. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. Biomedical Signal Processing and Control, vol. 99, no. 1, 2024, pp. 1-9. ISSN 1746-8108.
    Detail

    JAWED Soyiba, FAYE Ibrahima and MALIK Aamir Saeed. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, no. 1, 2024, pp. 378-390. ISSN 1558-0210.
    Detail

    MALIK Aamir Saeed, HUSSAIN Muhammad and CHAUDHARY Safee Ullah. Editorial: From assessment to intervention: role of consumer technology and neurotech in preventive mental health. Frontiers in Psychology, vol. 15, no. 1, 2024. ISSN 1664-1078.
    Detail

  • 2023

    MRÁZEK Vojtěch, JAWED Soyiba, ARIF Muhammad and MALIK Aamir Saeed. Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification. In: GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. Lisbon: Association for Computing Machinery, 2023, pp. 1427-1435. ISBN 979-8-4007-0119-1.
    Detail

    SHAIKH Qamar Usman, SHAHZAIB Muhammad, SHAKIL Sadia, BHATTI A. Farrukh and MALIK Aamir Saeed. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, vol. 9, no. 11, 2023, pp. 1-12. ISSN 2405-8440.
    Detail

    MAHRUKH Rimsha, SHAKIL Sadia and MALIK Aamir Saeed. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, vol. 13, no. 7267, 2023, pp. 1-15. ISSN 2045-2322.
    Detail

    AMIN Ullah Hafeez, ULLAH Rafi, REZA Faruque Mohammed and MALIK Aamir Saeed. Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques. Journal of NeuroEngineering and Rehabilitation, vol. 20, no. 70, 2023, pp. 1-17. ISSN 1743-0003.
    Detail

  • 2022

    JAWED Soyiba and MALIK Aamir Saeed. Deep learning based diagnosis of alcohol use disorder (AUD) using EEG. In: {2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin). Berlin: Institute of Electrical and Electronics Engineers, 2022, pp. 1-5. ISBN 978-1-6654-5676-0.
    Detail

  • 2021

    MALIK Aamir Saeed. Designing EEG Experiments for Studying the Brain; EEG-Based Experiment Design for Major Depressive Disorder. Brno: Faculty of Information Technology BUT, 2021.
    Detail

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