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Shehzad Khalid

Shehzad Khalid

D-Index & Metrics

Computer Science

D-Index
36
Citations
5668
World Ranking
11244
National Ranking
16

Overview

Shehzad Khalid is affiliated with Bahria University in Pakistan and has focused their research primarily in the fields of Computer Science and Engineering. Their work spans various subfields including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Signal Processing, and Artificial Intelligence.

The scientist's research topics cover areas such as EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis, Blind Source Separation Techniques, Functional Brain Connectivity Studies, Advanced Neural Network Applications, Autonomous Vehicle Technology and Safety, and Emotion and Mood Recognition.

Recent publications by Shehzad Khalid include:

  • Epileptic Seizures Prediction Using Deep Learning Techniques, 2020, IEEE Access
  • Malware detection in industrial internet of things based on hybrid image visualization and deep learning model, 2020, Ad Hoc Networks
  • A deep learning based ensemble learning method for epileptic seizure prediction, 2021, Computers in Biology and Medicine
  • Images data practices for Semantic Segmentation of Breast Cancer using Deep Neural Network, 2020, Journal of Ambient Intelligence and Humanized Computing
  • Epileptic seizure prediction using scalp electroencephalogram signals, 2021, Journal of Applied Biomedicine

Shehzad Khalid frequently publishes in venues such as:

  • IEEE Access
  • Journal of Ambient Intelligence and Humanized Computing
  • Applied Sciences
  • Sensors
  • Scientific Reports

Frequent collaborators include:

  • Syed Muhammad Usman
  • Sohail Jabbar
  • Saqib Saeed
  • Muhammad Munwar Iqbal
  • Aamir Anwar

Best Publications

  • Enhanced Network Anomaly Detection Based on Deep Neural Networks

    Sheraz Naseer;Yasir Saleem;Shehzad Khalid;Muhammad Khawar Bashir

  • Identification and classification of microaneurysms for early detection of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Shoab A. Khan

  • Detection and classification of retinal lesions for grading of diabetic retinopathy

    M. Usman Akram;Shehzad Khalid;Anam Tariq;Shoab A. Khan

  • Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach

    Farhan Ullah;Hamad Naeem;Sohail Jabbar;Shehzad Khalid

  • Epileptic Seizures Prediction Using Deep Learning Techniques

    Syed Muhammad Usman;Shehzad Khalid;Muhammad Haseeb Aslam

  • Malware detection in industrial internet of things based on hybrid image visualization and deep learning model

    Hamad Naeem;Farhan Ullah;Farhan Ullah;Muhammad Rashid Naeem;Shehzad Khalid

  • Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

    Sohail Jabbar;Farhan Ullah;Shehzad Khalid;Murad Khan

  • Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare

    Farhan Ullah;Muhammad Asif Habib;Muhammad Farhan;Shehzad Khalid

  • A deep learning based ensemble learning method for epileptic seizure prediction.

    Syed Muhammad Usman;Shehzad Khalid;Sadaf Bashir

  • Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space

    Andrew Naftel;Shehzad Khalid

  • Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform

    Rehan Ashraf;Mudassar Ahmed;Sohail Jabbar;Shehzad Khalid

  • Sentiment analysis and the complex natural language

    Muhammad Taimoor Khan;Mehr Yahya Durrani;Armughan Ali;Irum Inayat

  • Images data practices for Semantic Segmentation of Breast Cancer using Deep Neural Network

    Luqman Ahmed;Muhammad Munwar Iqbal;Hamza Aldabbas;Shehzad Khalid

  • IoT-based students interaction framework using attention-scoring assessment in eLearning

    Muhammad Farhan;Muhammad Farhan;Sohail Jabbar;Sohail Jabbar;Sohail Jabbar;Muhammad Aslam;Mohammad Hammoudeh

  • Epileptic seizure prediction using scalp electroencephalogram signals

    Syed Muhammad Usman;Syed Muhammad Usman;Shehzad Khalid;Zafar Bashir

  • Detection of neovascularization in retinal images using multivariate m-Mediods based classifier

    M. Usman Akram;Shehzad Khalid;Anam Tariq;M. Younus Javed

  • Utilization and load balancing in fog servers for health applications

    Hasan Ali Khattak;Hafsa Arshad;Saif ul Islam;Ghufran Ahmed

  • Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.

    Syed Muhammad Usman;Syed Muhammad Usman;Shehzad Khalid;Shehzad Khalid;Rizwan Akhtar;Zuner Bortolotto

  • Motion Trajectory Learning in the DFT-Coefficient Feature Space

    A. Naftel;S. Khalid

  • Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.

    Adeel M. Syed;Taimur Hassan;M. Usman Akram;Samra Naz

  • Artificial neural network based classification of lung nodules in CT images using intensity, shape and texture features

    Furqan Shaukat;Gulistan Raja;Rehan Ashraf;Shehzad Khalid

Frequent Co-Authors

Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University
M. Usman Akram
M. Usman Akram National University of Sciences and Technology
Kijun Han
Kijun Han Kyungpook National University
Awais Ahmad
Awais Ahmad University of Milan
Seungmin Rho
Seungmin Rho Chung-Ang University
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Gwanggil Jeon
Gwanggil Jeon Incheon National University
Naveen Chilamkurti
Naveen Chilamkurti La Trobe University
Mohammad Hammoudeh
Mohammad Hammoudeh Manchester Metropolitan University
Zafar I. Bashir
Zafar I. Bashir University of Bristol

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