Institutional Open Access Journal
Washington Journal of AI Systems and Analytics is a quarterly, institutional, open-access, and double-blind peer-reviewed academic journal published by Washington University of Science and Technology. The journal is established to provide a scholarly forum for the dissemination of high-quality research in the fields of artificial intelligence systems, machine learning, and data analytics.
The purpose of the journal is to advance theoretical and applied knowledge related to the design, development, evaluation, and implementation of intelligent systems and analytical methods. It welcomes original research articles, review papers, and analytical studies that contribute to scientific progress and address contemporary challenges in AI-driven technologies across academic, industrial, and societal contexts.
Assistant Director, School of IT
Email: [email protected]
ORCID: 0000-0002-6747-0846
Chairman & Chancellor, WUST
Email: [email protected]
ORCID: 0009-0008-1418-0248
Vice President of Education, WUST
Email: [email protected]
ORCID: 0009-0001-5202-6355
Faculty, General Education, WUST
Email: [email protected]
ORCID: 0000-0003-4511-7336
Director, School of Professional Studies
Email: [email protected]
ORCID: 0009-0005-5473-2260
Associate Professor, School of IT
Email: [email protected]
ORCID: 0000-0002-3962-6065
Coordinator, Front-Loaded ESL Courses
Email: [email protected]
ORCID: 0009-0006-0754-2736
Lead Faculty, School of Business
Email: [email protected]
ORCID: 0000-0002-7869-5530
WJASA accepts original research articles, review papers, and analytical studies in AI systems, machine learning, and data analytics. All submissions undergo double-blind peer review. View full author guidelines, templates, and submission portal on the journal site.
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