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Nasir Ayub
PeerJ Author & Reviewer
35 Points

Contributions by role

Reviewer 35

Contributions by subject area

Computer Networks and Communications
Network Science and Online Social Networks

Nasir Ayub

PeerJ Author & Reviewer

Summary

Nasir Ayub (IEEE member) has completed his PhD degree in Computer Science at the School of Electrical Engineering and Computer Science, National University of Science and Technology in Islamabad, Pakistan. He obtained his MS degree in the field of Smart Grid and Data Science from COMSATS University Islamabad, Pakistan.
Currently, Nasir is an Assistant Professor in the Department of Creative Technologies, Air University Islamabad, Pakistan. His research interests encompass various areas, including smart grid, machine learning, deep learning, natural language processing, and blockchain. Nasir actively contributes as academic editor in PLOSONE journal and as a reviewer for esteemed journals such as IEEE Access, Elsevier, MDPI, and PeerJ.

Artificial Intelligence Data Mining & Machine Learning Data Science Natural Language & Speech

Past or current institution affiliations

Air University
National University of Science and Technology

Work details

Assistant Professor

Air University
August 2023
Creative Technologies

PhD Scholar

National University of Science and Technology
October 2020
School of Electrical Engineering and Computer Science
Research work

Websites

  • Google Scholar
  • Nasir Ayub
  • ResearcherID

PeerJ Contributions

  • Articles 2
  • Reviewed 1
September 8, 2025
Regularized multi-path XSENet ensembler for enhanced student performance prediction in higher education
Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Nasir Ayub
https://doi.org/10.7717/peerj-cs.3032
May 23, 2024
Reliable renewable energy forecasting for climate change mitigation
Walid Atwa, Abdulwahab Ali Almazroi, Nasir Ayub
https://doi.org/10.7717/peerj-cs.2067

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.

May 27, 2021
Increasing fault tolerance of data plane on the internet of things using the software-defined networks
Katayoun Bakhshi Kiadehi, Amir Masoud Rahmani, Amir Sabbagh Molahosseini
https://doi.org/10.7717/peerj-cs.543