prof.

Aamir Saeed Malik

Ph.D.

FIT, UPSY – profesor

+420 54114 1055
malik@fit.vut.cz

Odeslat VUT zprávu

prof. Aamir Saeed Malik, Ph.D.

Publikační výsledky

  • 2025

    AMIN, H.; AHMED, A.; YUSOFF, M.; MOHAMAD SAAD, M.; MALIK, A. A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance. 2025, vol. 99, no. 1, p. 1-11. ISSN: 1746-8108.
    Detail

    HUSSAIN, Y.; AMNA, R.; MALIK, A. ECG and EEG Analysis of Brain-Heart Interactions During Seizure Episodes. 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Chemnitz: IEEE Computer Society, 2025. p. 1-6. ISBN: 979-8-3315-0500-4.
    Detail

  • 2024

    JAWED, S.; FAYE, I.; MALIK, A. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. 2024, vol. 32, no. 1, p. 378-390. ISSN: 1558-0210.
    Detail

    ARIF, M.; REHMAN, F.; SEKANINA, L.; MALIK, A. A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications. 2024, vol. 21, no. 5, p. 1-25. ISSN: 1741-2552.
    Detail

  • 2023

    MRÁZEK, V.; JAWED, S.; ARIF, M.; MALIK, A. 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. p. 1427-1435. ISBN: 979-8-4007-0119-1.
    Detail

    SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, 2023, vol. 9, no. 11, p. 1-12. ISSN: 2405-8440.
    Detail

    MAHRUKH, R.; SHAKIL, S.; MALIK, A. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, 2023, vol. 13, no. 1, p. 1-15. ISSN: 2045-2322.
    Detail

    AMIN, H.; ULLAH, R.; REZA, M.; MALIK, A. 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, 2023, vol. 20, no. 1, p. 1-17. ISSN: 1743-0003.
    Detail

  • 2022

    JAWED, S.; MALIK, A. 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. p. 1-5. ISBN: 978-1-6654-5676-0.
    Detail

*) Citace se generují jednou za 24 hodin.