Mohammad Sayim Khalil

About Mohammad Sayim Khalil

Mohammad Sayim Khalil, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at King Saud University, specializes in the field of Biometric, Pattern Recognition, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A statistical feature extraction for deep speech emotion recognition in a bilingual scenario

Convolutional denoising auto-encoder based awgn removal from ecg signal

MI-EEGNET: A novel convolutional neural network for motor imagery classification

A novel multi-scale convolutional neural network for motor imagery classification

Incep-EEGNet: a convnet for motor imagery decoding

An end-to-end multi-level wavelet convolutional neural networks for heart diseases diagnosis

A wavelet denoising and Teager energy operator-based method for automatic QRS complex detection in ECG signal

Mohammad Sayim Khalil Information

University

Position

Associate Professor Center of Excellence in Information Assurance (CoEIA)

Citations(all)

1029

Citations(since 2020)

691

Cited By

535

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

38

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Mohammad Sayim Khalil Skills & Research Interests

Biometric

Pattern Recognition

Image Processing

Top articles of Mohammad Sayim Khalil

Title

Journal

Author(s)

Publication Date

A statistical feature extraction for deep speech emotion recognition in a bilingual scenario

Multimedia Tools and Applications

Sara Sekkate

Mohammed Khalil

Abdellah Adib

2023/3

Convolutional denoising auto-encoder based awgn removal from ecg signal

Lahcen El Bouny

Mohammed Khalil

Abdellah Adib

2021/8/25

MI-EEGNET: A novel convolutional neural network for motor imagery classification

Journal of Neuroscience Methods

Mouad Riyad

Mohammed Khalil

Abdellah Adib

2021/4/1

A novel multi-scale convolutional neural network for motor imagery classification

Biomedical Signal Processing and Control

Mouad Riyad

Mohammed Khalil

Abdellah Adib

2021/7/1

Incep-EEGNet: a convnet for motor imagery decoding

Mouad Riyad

Mohammed Khalil

Abdellah Adib

2020

An end-to-end multi-level wavelet convolutional neural networks for heart diseases diagnosis

Neurocomputing

Mohammed Khalil

Abdellah Adib

2020/12/5

A wavelet denoising and Teager energy operator-based method for automatic QRS complex detection in ECG signal

Circuits, Systems, and Signal Processing

Lahcen El Bouny

Mohammed Khalil

Abdellah Adib

2020/10

See List of Professors in Mohammad Sayim Khalil University(King Saud University)