Muhammad Salman Kabir

Electrical Engineer | Signal Processing & Machine Learning Enthusiast

  • Who Am I

    An electrical engineer, machine learning enthusiast and above all, a curious learner. Passionate about working in research and development sector. Currently, involved in acoustics, computer vision and neuroscience research projects.

  • Experience

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    Lab of Neuroscience & Cognitive Technologies, IU

    • Studied the applicability of interpretable machine learning in identifying and in evaluating the reconfiguration of pre-stimulus functional network structure of human brain under a prolonged cognitive task
    • Explored the neural mechanism of autism spectrum disorder and studied the role of alpha band functional connectivity in frontal lobe to develop a neuro-marker for autism spectrum disorder
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    Lab of Industrializing Software Production, IU

    Studied the relaxation and stress level in software developers during programming and during artistic activities by analyzing EEG collected via 31 sensors placed in extended 10-20 layout

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    EME College, NUST

    Studied and explored the novel approaches to design IMU sensors for unmanned aerial vehicles

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    AARDIC, Heavy Industries Taxila

    Designed and developed an acosutic based detection and localization system for high-energy impulse sound events in urban enviornment

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    Pakistan Telecommunication Company Limited

    Conducted detailed power consumption analysis of electronic equipment, identifying equipment contributing to high load, and reducing overall power usage through targeted optimizations

  • Education

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    Innopolis University

    MS Computer Science
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    University of Engineering and Technology, Taxila

    BSc Electrical Engineering

  • Publications

    • Article - MS. Kabir, S. Kurkin, G. Portnova, O. Martynova, A. Hramov. Contrastive machine learning reveals in EEG resting‐state network salient features specific to autism spectrum disorder (DOI: 10.1016/j.chaos.2024.115123)

     

    • Article - MS. Kabir, J. Mir, C. Rascon, LR. Shahid, F. Shaukat. Machine learning inspired efficient acoustic-based high‐energy impulse sound event detection and localization system (Online)

     

    • Article - N. Frolov, MS. Kabir, V. Maksimenko, A. Hramov. Machine learning evaluates changes in functional connectivity under a prolonged cognitive load  (DOI: 10.1063/5.0070493)

     

    • Article - S. Kurkin, N. Smirnov, E. Pitsik, MS. Kabir, O. Martynova, O. Sysoeva, G. Portnova, A. Hramov. Features of the resting-state functional brain network of children with autism spectrum disorder: EEG source-level analysis.  (DOI: 10.1140/epjs/s11734-022-00717-0)

     

    • Conference Paper - MS. Kabir, S. Kurkin. Combination of machine learning and functional networks concept for diagnosis of autism spectrum disorder (DOI: 10.1109/CNN56452.2022.9912484)

     

    • Conference Paper - MS. Kabir, I. Ndukwe, Z. Shahid. Deep learning inspired vision based frameworks to spot unmanned aerial vehicles (DOI: 10.1109/ICECCE52056.2021.9514124)

     

    • Conference Paper - H. Ali, MS. Kabir. Design and development of an unmanned ground vehicle with serial manipulator and its control mechanism (DOI: 10.1109/ICECCE52056.2021.9514228)

  • Conferences

    • Conference Talk – Combination of machine learning and functional connectivity concepts for the diagnosis of autism spectrum disorder at the fourth international conference on Neurotechnologies and Neurointerfaces, 14 − 16 Sept. 2022, Kaliningrad, Russia

     

    • Conference Talk – Deep learning inspired vision based frameworks to spot unmanned aerial vehicles at the third international conference on Electrical, Communication and Computer Engineering, 12 − 14 June 2021, Kuala Lumpur, Malaysia

  • Research Studies

  • Skills

    Computer Vision

    OpenCV | scikit‐image|Pillow

    Machine Learning

    TensorFlow | PyTorch | Keras | scikit‐learn

    Data Science

    NumPy | SciPy | pandas | Matplotlib | seaborn

    Embedded Systems

    Arduino | Raspberry Pi | STM 32 | AVR | PIC | BeagleBone | DSPs | FPGA

    Programming Languages

    Python| MATLAB | Julia | R | C | C++ | LabVIEW | Verilog | SQL | Java

    Computational Neuroscience

    BCT | FieldTrip | MNE | SPM | EEGLAB | Brainflow | Brainstorm | EEGNET | NeuroKit2

    Research

    Machine Learning | Computational Neuroscience | Signal Processing | Embedded Systems

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