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Muneer Al Hammadi

Muneer Al Hammadi

Postdoctoral Fellow
Department of Civil and Environmental Engineering
Faculty of Engineering

muneer.al-hammadi@ntnu.no
Byggteknisk, 1-054, Gløshaugen, Trondheim
ResearchGate Google Scholar
About Publications

About

Muneer Al-Hammadi is a postdoctoral fellow at the Department of Civil and Environmental Engineering. He received his MSc in Computer Engineering in 2013 and his PhD degree in Computer Vision in 2020 from King Saud University, SA. Previously he worked as a computer vision researcher at the center of smart robotic research at King Saud University, before joining NTNU as a postdoctoral fellow in 2022. In his current work, he aims to apply Artificial Intelligence and Computer Vision to automate road condition estimation and indexing.

His research interest lies in AI, data science, and computer vision and their real-world applications.

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2023

  • Alsulaiman, Mansour; Faisal, Mohammed; Mekhtiche, Mohamed; Bencherif, Mohamed; Alrayes, Tariq; Muhammad, Ghulam. (2023) Facilitating the communication with deaf people: Building a largest Saudi sign language dataset. Journal of King Saud University - Computer and Information Sciences
    Academic article

2022

  • Al-Hammadi, Muneer; Bencherif, Mohamed A.; Alsulaiman, Mansour; Muhammad, Ghulam; Mekhtiche, Mohamed Amine; Abdul, Wadood. (2022) Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition. Sensors
    Academic article

2020

  • Al-Hammadi, Muneer. (2020) Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation. IEEE Access
    Academic article
  • Al-Hammadi, Muneer; Muhammad, Ghulam; Abdul, Wadood; Alsulaiman, Mansour; Bencherif, Mohamed A.; Mekhtiche, Mohamed Amine. (2020) Hand gesture recognition for sign language using 3DCNN. IEEE Access
    Academic article

2019

  • Al-Hammadi, Muneer; Muhammad, Ghulam; Abdul, Wadood; Alsulaiman, Mansour; Hossain, M Shamim. (2019) Hand gesture recognition using 3D-CNN model. IEEE Consumer Electronics Magazine
    Academic article

2018

  • Hossain, M Shamim; Al-Hammadi, Muneer; Muhammad, Ghulam. (2018) Automatic fruit classification using deep learning for industrial applications. IEEE Transactions on Industrial Informatics
    Academic article

2014

  • Muhammad, Ghulam; Al-Hammadi, Muneer; Hussain, Muhammad; Bebis, George. (2014) Image forgery detection using steerable pyramid transform and local binary pattern. Machine Vision and Applications
    Academic article

Journal publications

  • Alsulaiman, Mansour; Faisal, Mohammed; Mekhtiche, Mohamed; Bencherif, Mohamed; Alrayes, Tariq; Muhammad, Ghulam. (2023) Facilitating the communication with deaf people: Building a largest Saudi sign language dataset. Journal of King Saud University - Computer and Information Sciences
    Academic article
  • Al-Hammadi, Muneer; Bencherif, Mohamed A.; Alsulaiman, Mansour; Muhammad, Ghulam; Mekhtiche, Mohamed Amine; Abdul, Wadood. (2022) Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition. Sensors
    Academic article
  • Al-Hammadi, Muneer. (2020) Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation. IEEE Access
    Academic article
  • Al-Hammadi, Muneer; Muhammad, Ghulam; Abdul, Wadood; Alsulaiman, Mansour; Bencherif, Mohamed A.; Mekhtiche, Mohamed Amine. (2020) Hand gesture recognition for sign language using 3DCNN. IEEE Access
    Academic article
  • Al-Hammadi, Muneer; Muhammad, Ghulam; Abdul, Wadood; Alsulaiman, Mansour; Hossain, M Shamim. (2019) Hand gesture recognition using 3D-CNN model. IEEE Consumer Electronics Magazine
    Academic article
  • Hossain, M Shamim; Al-Hammadi, Muneer; Muhammad, Ghulam. (2018) Automatic fruit classification using deep learning for industrial applications. IEEE Transactions on Industrial Informatics
    Academic article
  • Muhammad, Ghulam; Al-Hammadi, Muneer; Hussain, Muhammad; Bebis, George. (2014) Image forgery detection using steerable pyramid transform and local binary pattern. Machine Vision and Applications
    Academic article
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