Assist. Prof. Dr. Masoud Kargar is an accomplished scholar and researcher from the Islamic Azad University, Tabriz Branch, Iran, specializing in Artificial Intelligence, Data Science, and Computational Optimization. He earned his Ph.D. in Computer Engineering with a concentration in Artificial Intelligence and intelligent network optimization from a leading Iranian university, where his research focused on developing novel machine learning models for real-world applications. With several years of academic and professional experience, Dr. Kargar has served as a lecturer, mentor, and research collaborator, contributing extensively to both theoretical and applied aspects of AI. His research interests include deep learning, biomedical image processing, software-defined networking, and intelligent optimization algorithms, reflected in his impactful publications such as RCPFH: Reliable Controller Placement in Software-Defined Networks Using Fuzzy Systems and a Modified Walrus Optimization Algorithm and HNMD-CNN: A Hierarchical Narrowing Multi-Deep Convolutional Neural Network for Precision Glioma Classification in 3D MRI Images, published in Simulation Modelling Practice and Theory (2025). Demonstrating strong research skills in algorithm development, data analysis, and AI-driven problem-solving, he has achieved over 91 citations, an h-index of 6, and published more than 20 articles in reputable, Scopus-indexed journals. Dr. Kargar’s professional affiliations include IEEE and ACM, underscoring his commitment to international research collaboration and academic excellence. He has been recognized for his innovative research and contribution to technological development, earning accolades for his scholarly impact. His dedication to advancing artificial intelligence and mentoring young researchers signifies his leadership in shaping the future of computational science. With his outstanding achievements, innovative research, and academic integrity, Assist. Prof. Dr. Masoud Kargar is truly deserving of the Best Research Article Award, honoring his excellence and lasting contributions to AI research and global scientific advancement.