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Muhammad Arshad Islam
PeerJ Author & Reviewer
425 Points

Contributions by role

Author 135
Reviewer 290

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Scientific Computing and Simulation
Security and Privacy
Operating Systems
Databases
Distributed and Parallel Computing
Software Engineering
Mobile and Ubiquitous Computing
Social Computing
Data Science
World Wide Web and Web Science
Programming Languages
Algorithms and Analysis of Algorithms
Computer Networks and Communications
Optimization Theory and Computation
Computer Architecture
Embedded Computing
Real-Time and Embedded Systems
Neural Networks
Internet of Things
Adaptive and Self-Organizing Systems
Agents and Multi-Agent Systems
Cryptography
Computer Aided Design
Network Science and Online Social Networks
Natural Language and Speech
Text Mining
Emerging Technologies

Muhammad Arshad Islam

PeerJ Author & Reviewer

Summary

Dr. M. Arshad Islam joined NUCES, Islamabad in January 2019 as an Associate Professor. Previously, he has been working at Capital University of Science and Technology and Ghulam Ishaq Khan Institute of Engineering Sciences and Engineering as an Assistant Professor. His areas of interest are Opportunistic Networks, Social Network Analysis, Research Trend Analysis, Temporal Information Retrieval, and Web Privacy.

Computer Networks & Communications Distributed & Parallel Computing

Past or current institution affiliations

National University of Computer and Emerging Sciences, Islamabad

Work details

Associate Professor

National University of Computer and Emerging Sciences
January 2019
Computer Science

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Reviewed 1
November 9, 2023
Investigation of time series-based genre popularity features for box office success prediction
Muzammil Hussain Shahid, Muhammad Arshad Islam
https://doi.org/10.7717/peerj-cs.1603
February 2, 2021
On the classification of Microsoft-Windows ransomware using hardware profile
Sana Aurangzeb, Rao Naveed Bin Rais, Muhammad Aleem, Muhammad Arshad Islam, Muhammad Azhar Iqbal
https://doi.org/10.7717/peerj-cs.361

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 28, 2021
Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites
Martin Grambow, Christoph Laaber, Philipp Leitner, David Bermbach
https://doi.org/10.7717/peerj-cs.548