WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Diyar Zeebaree
PeerJ Author & Reviewer
80 Points

Contributions by role

Reviewer 80

Contributions by subject area

Computer Vision
Software Engineering
Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Neural Networks
Optimization Theory and Computation
Bioinformatics

Diyar Qader Zeebaree

PeerJ Author & Reviewer

Summary

Diyar Qader Zeebaree currently works at Northern Technical University (NTU) in Technical Engineering, College of Computer and AI, and Quality Assurance. I previously worked as the General Director of the Research Centre at Duhok Polytechnic University in Iraq. I acquired my Ph.D. degree in computer science from University Technology Malaysia (UTM) in 2020, with a specialisation in artificial intelligence (AI). my MSc degree in Computer Information Systems (CIS) from Near East University, North of Cyprus, Turkey, in 2014, and my B.S. degree in Computer Science from the University of Nawroz in 2012. I am the author of one book and more than 60 articles, which are indexed in the Web of Science (WOS) and Scopus. Google Scholar Citations = 3460, h-index = 28; Scopus Citations = 1222, h-index = 20; and Web of Science (WOS) Citations = 255. I also work as a reviewer for IEEE Access and Sensors Journal, Algorithms, Healthcare, Diagnostics, Cancers, Connection Science, Computer Methods in Biomechanics and Biomedical Engineering, BioMed, Applied Artificial Intelligence, Cybernetics and Systems, and others. My research interests include artificial neural networks, machine learning, deep learning, medical image analysis, and image processing. I was a recipient of the symposium paper award in the IEEE-International Conference on Advanced Science and Engineering (ICOASE). in 2019

Artificial Intelligence Bioinformatics Computer Vision

Work details

Ass.Prof

Northern Technical University
Quality Assurance
Researcher

Quality Assurance

Northern Technical University (NTU)
Quality Assurance

Websites

  • Scopus
  • Google Scholar
  • WOS
  • Research Gate

PeerJ Contributions

  • Reviewed 1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

November 4, 2024
Comprehensive empirical evaluation of feature extractors in computer vision
Murat ISIK
https://doi.org/10.7717/peerj-cs.2415