Dr. Ali Turab is an Associate Professor at the School of Software, Northwestern Polytechnical University (NPU), China. He holds a Ph.D. in Applied Mathematics from Thammasat University, Thailand, where he also completed postdoctoral research in mathematical modeling and dynamical systems. His work integrates functional equations, stability theory, and machine learning to analyze decision-making, adaptive behavior, and cognitiveprocesses in both natural and engineered systems. With a background spanningtheoretical mathematics and computational applications, Dr. Turab has contributed to interdisciplinary domains including animal cognition, behavioral neuroscience, AI-driven modeling, and intelligent systems. His researchincorporates nonlinear analysis, cognitive neural networks, and fractional calculus in the study of complex systems. Dr. Turab has published widely in international journals and conferences, and actively supervises graduateresearch in mathematical modeling and artificial intelligence. He is committedto advancing the intersection of mathematics and behavioral sciences, and his work offers innovative perspectives on the application of functional equations and stability theory to real-world problems such as behavioral prediction, simulation, and computational cognition. Prof. Josué Antonio Nescolarde Selva is a Full Professor in the Department of Applied Mathematics at the University of Alicante, Spain. His research encompasses functional equations, biomathematics, cybernetics, data science, and the philosophy of science, with over 100 scientific publications indexed inhigh-impact journals. He has supervised several doctoral dissertations and ledcollaborative research with institutions across Europe, the U.S., and Asia. Prof. Nescolarde has served as Guest Editor-in-Chief for multiple special issues and is an editorial board member of JCR-indexed journals including Applied Artificial Intelligence and International Journal of General Systems. His expertise includes the application of functional equations to modeling biological systems, social dynamics, and intelligent decision-making frameworks. He has led or participated in numerous competitive R&D projects,both nationally and internationally, contributing to the mathematical underpinnings of complex system analysis. His leadership and academiccontributions continue to bridge abstract mathematical theory with practicalapplications across disciplines. Prof. Andrés Montoyo is a Full Professor in the Department of Software and Computing Systems at the University of Alicante, Spain, and a senior member of the GPLSI research group. His research focuses on natural languageprocessing, semantic modeling, and information extraction, with strong applications in intelligent systems and computational behavior analysis. He has authored over 80 papers in high-impact journals and over 100 conference papers, and has advised numerous doctoral theses in AI, language modeling,and knowledge systems. Prof. Montoyo has led or participated in over 75 funded R&D projects, including several EU and nationally competitive grants. His recent work explores the integration of functional modeling techniques withdeep learning for behavior-oriented applications, aligning closely with thethemes of this volume. He has also developed and transferred several software systems under intellectual property licenses and maintains an active role in technological dissemination and industry-academia collaboration. His academic leadership and interdisciplinary expertise bring critical insights to the intersection of mathematical theory, AI, and real-world behavioral systems.
