Journal of AI, Data Science and Cyber Systems

Anton Iliev is a Bulgarian mathematician and computer scientist born on 3 December 1973 in Plovdiv, Bulgaria, currently serving as Professor and Chair of the Computer Technology Department at the University of Plovdiv, Faculty of Mathematics and Informatics. He graduated in 1996 with a degree in Mathematics (specialization in Informatics) from the same university and obtained his PhD there in 2001. Over his academic career, he has combined research, teaching, and leadership, including serving as Vice-Rector of the University of Plovdiv from 2019 to 2023. His scientific interests encompass informatics, mathematics, modelling, and numerical methods, with significant contributions to the development and refinement of computational and number-theoretic algorithms, extended Euclidean-type methods, hybrid algorithms, growth models, differential equations, oscillator systems, and applications of orthogonal polynomials in dynamical systems. He is a member of the Union of Bulgarian Mathematicians and the Association for Development of the Information Society and received a Diploma of Excellence for Young Scientists in Natural Sciences and Mathematics in 2006 from the University of Plovdiv’s Scientific Research Fund. Professor Iliev has authored and co-authored numerous publications in international peer-reviewed journals and conference proceedings, including Scopus- and Web of Science-indexed journals, as well as several academic books and monographs, contributing significantly to mathematical informatics and computational modelling in Bulgaria and beyond.

Dr. Sang Gyu Kwak is a Professor of Medical Statistics at the School of Medicine, Daegu Catholic University, Republic of Korea. His research focuses on clinical data science, biostatistics, and applied statistical methodology in medical research. He has extensive experience in study design, statistical modeling, causal inference, and machine learning applications in healthcare data.

Dr. Kwak has collaborated on numerous interdisciplinary clinical studies and has published widely in peer-reviewed international journals. His work emphasizes robust statistical methods, reproducible research, and the integration of artificial intelligence with clinical decision-making. He actively contributes to methodological research in medical statistics and serves as a reviewer for several international journals.

Francisco Jurado received his B.Sc. degree in electronic engineering in 1996 and his M.Sc. degree in electrical engineering in 2001, both from Instituto Tecnologico de La Laguna (Mexico). He received his D.Sc. degree at Centro de Investigacion y de Estudios Avanzados (CINVESTAV) del Instituto Politecnico Nacional (I.P.N.) Unidad Guadalajara (Mexico) in 2010. He carried out a research stage at Università Degli Studi Di L' Aquila, L' Aquila, Italy, in 2008, participating in the Non Linear Control of Dynamic Systems and Applications project under the frame of the M.A.E. Scientific Cooperation Program between Italy and Mexico. He is currently Professor-Researcher at Tecnologico Nacional de Mexico (TecNM)/Instituto Tecnologico de La Laguna, Torreon, Mexico. He has been recognized as having a desirable PRODEP profile since 2012. He is a member of the CONACYT's Accredited Assessors Record (RCEA-CONACYT), evaluating national research projects since 2013. He is also a member of the National System of Researchers (SNII) at Level II from SECIHTI (Secretaria de Ciencia, Humanidades, Tecnologia e Innovacion). He has been distinguished as State Honorific Researcher by the Government of the State of Coahuila de Zaragoza, Mexico, and the Science and Technology State Council (COECYT). He has been awarded with the Galardon a la Excelencia Educativa Edicion Cusco 2026 by the OIICE (Organizacion Internacional para la Inclusion y Calidad Educativa), Peru. He is also a recipient of a Doctor Honoris Causa conferred by OIICE. He has been distinguished with the Orden Dorada Magisterial award by OIICE. He is an IEEE member, AIAA member, AMRob member, RICCA member, and OIICE member. He has served as a TPC member for international conferences. He has also served as a reviewer of many prestigious scientific journals.

Davut Pehlivan is an academic and researcher specializing in maritime transportation, port operations, logistics systems, and risk and resilience analysis in transportation networks. He holds extensive experience in quantitative modeling approaches, including discrete-event simulation, multi-criteria decision-making methods (AHP/FAHP, Fuzzy Axiomatic Design), and data-driven performance analysis applied to maritime and logistics systems.

His research interests focus on port efficiency, intermodal logistics, human factors and human reliability in maritime operations, environmental impacts of transportation systems, and the resilience of critical infrastructure under uncertainty. He has actively worked on simulation-based decision support models for port–dry port systems and logistics corridors, integrating operational, environmental, and sustainability dimensions.

Dr. Pehlivan has served as a reviewer for several international peer-reviewed journals and has been involved in editorial and quality assurance processes within higher education institutions. His reviewing experience reflects a balanced approach that combines methodological rigor with constructive, developmental feedback for authors. In addition to his academic research, he has professional experience in logistics consultancy, contributing practical insights to his scholarly work. He is particularly interested in interdisciplinary research that bridges operations research, transportation studies, and sustainability science.

Through his editorial contributions, he aims to support high-quality, ethically sound, and impactful research, while fostering inclusive and forward-looking academic dialogue within the field.

Mehdi Gheisari is a PhD holder at the crossroads of AI, data science, and cyber systems with 15+ years specializing in privacy-preserving technologies for intelligent connected environments. Ranked among the top 2% of global scientists (Stanford University, 2024–2025), he blends cutting-edge AI, data-driven security, and resilient cyber infrastructure. A author of highly cited top-tier publications and tech patents, he leads global collaborations and contributes to international technical communities. As an editor, he fosters cross-disciplinary innovation, uniting global talent to advance trusted solutions in AI, data science, and cyber systems.

Md. Humayun Kabir is a Senior Lecturer and Head of the Department of Computer Science and Engineering at GAM Chartered University College. He also works as a Senior Technical Trainer in Network Technology at CSL Training (CSL Academy), ERevo Technologies Ltd., and New Vision Information Technology Limited (NVIT), all based in Chattogram, Bangladesh. Before these roles, he served as a Lecturer in the Department of Computer and Communication Engineering at the International Islamic University Chittagong (IIUC) from 2022 to 2025, and has been contributing to IIUC as an adjunct faculty member since 2018.

His research interests cover a wide range of modern technologies, including Artificial Intelligence, Neural Networks, Machine Learning, Computer Networking, Cybersecurity, Internet of Things (IoT), and Wireless Communication. He has authored and co-authored more than 27 peer-reviewed publications, which include 10 SCI-indexed journal articles, one book chapter, and several papers presented at international IEEE conferences.

Mr. Kabir completed his Master of Science in Engineering (M.Sc. Engg.) in Electronics and Telecommunication Engineering from the Chittagong University of Engineering and Technology (CUET) in 2025, and his Bachelor of Science in Engineering (B.Sc. Engg.) in the same field from IIUC in 2018.

His dedication to research excellence has earned him several prestigious recognitions. In 2025, he received three notable international awards: the Best Researcher Award, the Transfer Learning Award, and the Global Sensor Award. These honors reflect his outstanding contributions to applied research in intelligent systems and emerging technologies. Earlier, in 2021, he was also awarded the Planning and Development Section Scholarship by CUET in recognition of his academic performance and research potential.

He actively serves the global research community as an Editorial Board Member of Edelweiss Applied Science and Technology (e-ISSN: 2576-8484), and as a reviewer for more than 10 reputed SCI-indexed journals, including Sensors, Electronics, Processes, Telecom, Mathematics, IJRES, and Wiley publications, as well as various IEEE conferences. He also serves as a Technical Program Committee (TPC) member for IEEE-sponsored events, most notably the IEEE International Conference on Innovations in Science, Engineering, and Technology (ICISET).

At the institutional level, Mr. Kabir is involved in curriculum development, syllabus reform, examination and thesis committees, and quality assurance activities aligned with BAETE, BAC, and IQAC standards. He has also participated in several national academic development programs organized by BAETE, IQAC-IIUC, and the ICT Division of Bangladesh.

Through his combined work in academia and industry, Mr. Kabir remains committed to connecting theory with real-world practice, and to supporting innovation in smart systems, intelligent technologies, and next-generation network infrastructure.