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Anas AlSobeh
PeerJ Reviewer
70 Points

Contributions by role
Reviewer 70

Contributions by subject area
Artificial Intelligence
Computer Vision
Security and Privacy
Neural Networks
Cryptography
Data Mining and Machine Learning
Internet of Things

Anas AlSobeh

PeerJ Reviewer

Summary

Dr. Anas Alsobeh received his Ph.D. in Computer Science from Utah State University. He also holds a B.Sc. and M.Sc. in Computer Information Systems from Yarmouk University, obtained in 2007 and 2010, respectively. Dr. Alsobeh is currently an Assistant Professor in the Information Technology program at Southern Illinois University, Carbondale, IL, USA.

Previously, he served as an associate professor in the Department of Information Systems at Yarmouk University in Jordan, where he also directed the Refugees, Displaced Persons, and Forced Migration Studies Center. His research expertise encompasses software design and modeling, data analysis, web technology, artificial intelligence (AI), cybersecurity analysis, the Internet of Things (IoT), cloud computing, and mobile security.

Dr. Alsobeh has been actively involved in multidisciplinary research projects and has an extensive record of publications and presentations in his field. He has received various national and international research grants, serving as both a principal investigator and team member in multiple EU-funded projects, including H2020, HOPES, Erasmus+, and Nuffic. Additionally, he recently completed the Data Science and Machine Learning: Making Data-Driven Decisions program by MIT’s Institute for Data, Systems, and Society (IDSS) and the AWS Cloud Practitioner Program by Amazon Web Services.

Artificial Intelligence Computer Vision Neural Networks Security & Privacy

Past or current institution affiliations

Southern Illinois University at Carbondale

Work details

Assistant Professor

Utah Valley University
Information Systems and Technology

Identities

@AnasAlsobeh

Websites

  • Anas's Website

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.

April 4, 2025
Detecting malicious code variants using convolutional neural network (CNN) with transfer learning
Nazish Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan, Farman Ali, Daehan Kwak
https://doi.org/10.7717/peerj-cs.2727