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WUST Journal of Science and Technology (WJST)

Advancing Knowledge Across Science, Technology, and Innovation

The WUST Journal of Science and Technology (WJST) is Washington University of Science and Technology's flagship peer-reviewed, open-access research publication. It brings together original contributions from faculty, researchers, and students across a broad range of scientific and technological domains, including artificial intelligence, cybersecurity, biomedical informatics, engineering, and data science. WJST is committed to publishing research that is both academically rigorous and practically meaningful, in line with WUST's core mission to bridge the gap between knowledge and real-world impact.

Journal Information

An overview of the journal's key identifying details, editorial leadership, and general scope.

Publisher Washington University of Science and Technology (WUST), Alexandria, Virginia, USA
Editor-in-Chief Dr. Hasan Karaburk, President, WUST
Access Type Open Access
Review Process Peer-reviewed
Scope Multidisciplinary: Science, Technology, Engineering, AI, Cybersecurity, Health Informatics
Language English

Key Features

WJST is designed to support a vibrant research culture at WUST by offering a credible venue for original, applied, and interdisciplinary work.

Open Access Publishing

All articles are freely available to readers worldwide at no cost.

Peer Review

All submissions are subject to rigorous peer review to ensure academic quality.

Multidisciplinary Scope

Covers AI, cybersecurity, engineering, biomedical research, data science, and more.

Student & Faculty Contributions

Open to submissions from WUST students, faculty, and external researchers.

Applied Research Focus

Strong emphasis on research with real-world relevance and industry impact.

Collaborative Research

Supports partnerships between WUST, academic institutions, and industry partners.

Manuscript Submission

WJST welcomes original research articles, review papers, case studies, and short communications. All submissions must be original, unpublished, and not under review elsewhere. Authors should consult the journal's submission guidelines before preparing their manuscript.

Submission Types Original research, review articles, case studies, short communications
Format Requirement Microsoft Word or PDF, following WJST author guidelines
Submission Portal research.wust.edu
Editorial Contact [email protected]

Quick Index: Subject Areas

The journal covers a wide spectrum of disciplines reflecting WUST's academic programs and research priorities. Authors are encouraged to submit work in any of the following areas:

Artificial Intelligence & Machine Learning Deep learning, NLP, predictive modeling, generative AI
Cybersecurity Threat detection, ransomware mitigation, phishing, network security
Biomedical & Health Informatics Disease prediction, clinical data systems, medical imaging
Engineering & Systems IoT, robotics, smart systems, embedded technologies
Data Science & Analytics Big data, statistical modeling, visualization, decision systems
Sustainable Technology Green computing, energy-efficient systems, climate technology