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Muhammad Zubair Asghar
PeerJ Author & Reviewer
105 Points

Contributions by role

Reviewer 105

Contributions by subject area

Data Mining and Machine Learning
Data Science
Artificial Intelligence
Natural Language and Speech
World Wide Web and Web Science
Network Science and Online Social Networks
Social Computing
Computational Biology
Computer Vision
Neural Networks

Muhammad Zubair Asghar

PeerJ Author & Reviewer

Summary

Dr. Zubair is a Ph.D. supervisor and postdoctoral fellow at UniKL, Kuala Lumpur. His Ph.D. research focuses on current issues in Opinion Mining, Sentiment Analysis, Computational Linguistics, Data Science, and Natural Language Processing. He has authored over 70 publications in internationally recognized journals (JCR and ISI indexed). With more than 26 years of experience in university teaching and laboratory work, his expertise spans Artificial Intelligence, Machine Learning, Deep Learning, and Research Methods in Computer Science. In 2024, he was recognized among the top 2% of scientists globally by Elsevier/Stanford.

Artificial Intelligence Data Mining & Machine Learning Data Science

Work details

Research Lead

unikl, kuala lumpur and GU
Researcher

Professor(associate)

Gomal university
March 1997
Gomal Research Institute of Computing Gomal University, DIKhan, KP, Pakistan

PeerJ Contributions

  • Articles 4
April 16, 2025
Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection
Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar
https://doi.org/10.7717/peerj-cs.2806
April 16, 2025
Multimodal hate speech detection: a novel deep learning framework for multilingual text and images
Furqan Khan Saddozai, Sahar K. Badri, Daniyal Alghazzawi, Asad Khattak, Muhammad Zubair Asghar
https://doi.org/10.7717/peerj-cs.2801
February 21, 2025
Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing
Ahmed Alzahrani, Muhammad Zubair Asghar
https://doi.org/10.7717/peerj-cs.2698
April 22, 2024
DenseHillNet: a lightweight CNN for accurate classification of natural images
Sheikh Muhammad Saqib, Muhammad Zubair Asghar, Muhammad Iqbal, Amal Al-Rasheed, Muhammad Amir Khan, Yazeed Ghadi, Tehseen Mazhar
https://doi.org/10.7717/peerj-cs.1995