Official Journal of the international society in Quantization, Geometry, and Dynamics
2026
A professional interdisciplinary research journal dedicated to artificial intelligence, data science, engineering innovation, mathematical foundations, and emerging computational methods
It is my great pleasure to present the inaugural issue of the ISQGD Journal of Artificial Intelligence and Data Science in Engineering and Mathematics, an official research journal of the International Society in Quantization, Geometry, and Dynamics.
This journal is established as a refined scholarly platform for high-quality interdisciplinary research that connects artificial intelligence, data science, engineering, and mathematics. Its central aim is to encourage work that combines conceptual clarity, analytical rigor, computational innovation, and meaningful applications.
The rapid development of artificial intelligence and data science continues to influence both theoretical research and practical engineering. At the same time, mathematics remains indispensable in providing structure, foundations, interpretability, optimization principles, and long-term intellectual depth. This journal is intended to serve as a meeting place for these complementary directions.
We particularly welcome contributions that illuminate mathematical aspects of AI, develop advanced data-driven methodologies, explore engineering applications, and build interdisciplinary bridges among these fields. Through careful editorial guidance and professional presentation, we aim to establish a journal that is both academically serious and internationally visible.
In this inaugural issue, we adopt a book-style presentation that is elegant, readable, and suitable for both computer and mobile viewing. Each article is presented in PDF form to ensure consistency, clarity, and professional archival quality.
We warmly invite researchers from around the world to contribute to future issues and to participate in the scholarly development of this journal as a lasting international platform.
Professor Francesco Villecco
Editor-in-Chief
Department of Industrial Engineering, University of Salerno, Italy
β fvillecco@unisa.it
The ISQGD Journal of Artificial Intelligence and Data Science in Engineering and Mathematics publishes high-quality research at the intersection of artificial intelligence, data science, engineering, and mathematics, with emphasis on rigor, originality, conceptual depth, and interdisciplinary significance.
The journal provides an international venue for work that develops mathematical foundations of AI, innovative data-driven methodologies, computational and numerical techniques, engineering applications, and structurally meaningful interdisciplinary research.
It particularly encourages contributions that reveal strong connections among modeling, optimization, statistical inference, machine learning, algorithmic design, scientific computation, and mathematically guided engineering analysis.
The journal welcomes original research articles, expository contributions, survey papers, and carefully selected interdisciplinary works that maintain academic seriousness and long-term scholarly value.
The editorial structure reflects the global academic vision of ISQGD and its commitment to rigorous, elegant, and internationally visible scholarly publication.
Professor Francesco Villecco
Department of Industrial Engineering, University of Salerno, Italy
β fvillecco@unisa.it
Ms. Richa Jain
PhD Scholar and Assistant Professor
Government College Chhapara, District Seoni
Raja Shankar Shah University, Madhya Pradesh, India
β richajain8797@gmail.com
The list of Editors will be announced and updated as the journal continues to develop its international editorial team.
The journals of the International Society in Quantization, Geometry, and Dynamics (ISQGD) are founded on a simple but powerful principle: serious scholarly work should be presented with rigor, clarity, elegance, and accessibility to a worldwide academic audience.
Rather than emphasizing quantity alone, ISQGD journals aim to prioritize conceptual depth, structural understanding, thoughtful exposition, and long-term scholarly value. Each article is treated not merely as a publication, but as a carefully presented contribution to the international research record.
ISQGD journals aim to create a lasting scholarly record in which important research is not only published, but also presented with clarity, balance, and intellectual refinement.
This journal issue is presented in an interactive book-style format, allowing readers to move easily across sections and access articles on both computer and mobile devices.
All papers in this journal are published in PDF format to ensure consistency, professional presentation, and long-term archival quality. Use the list below to navigate to each article included in this issue.
Reading note. Click a paper title to jump directly to it. Use the View PDF or Download PDF buttons for reading on computer or mobile devices.
This paper presents an original investigation related to artificial intelligence, data science, engineering methodology, or mathematical foundations of learning systems. Replace this text with the actual abstract of the paper. A concise summary helps readers understand the contribution before opening the PDF.
This article develops a research or expository contribution of clear interdisciplinary significance. Replace this text with the actual abstract. A short, well-written summary improves readability and helps guide the reader through the issue.
This sample entry illustrates how multiple papers can be presented in a consistent, elegant journal format. Replace this text with the actual abstract or summary of the paper.
The ISQGD Journal of Artificial Intelligence and Data Science in Engineering and Mathematics welcomes submissions of original research articles, survey papers, expository works, and interdisciplinary scholarly contributions related to artificial intelligence, data science, engineering applications, mathematical foundations, and emerging computational methods.
We especially encourage submissions that demonstrate analytical depth, methodological originality, conceptual clarity, computational significance, and strong interdisciplinary relevance. Contributions from both established researchers and emerging scholars are welcome.
Publication format. All published papers in this journal are presented as PDF articles linked through this issue page for clear organization, professional presentation, and easy access on both computer and mobile devices.
The ISQGD Journal of Artificial Intelligence and Data Science in Engineering and Mathematics is dedicated to the presentation of rigorous, thoughtful, and forward-looking research in artificial intelligence, data science, engineering, and mathematics, in an elegant, readable, and internationally accessible format.
π https://www.isqgd.org/