Müjde Güzelkaya is a Professor in the Department of Control and Automation Engineering at Istanbul Technical University (ITU), Faculty of Electrical and Electronic Engineering. She has been a prominent figure in the field of control systems since at least 1983, with over 108 research outputs and an h-index of 30. Her research spans fractional-order control, intelligent systems, and optimization algorithms. She leads multiple active research projects funded by ITU's BAP program and serves as principal investigator on initiatives involving federated learning, robust control, and uncertainty quantification. Her research interests are deeply rooted in control theory and automation , particularly in the design and optimization of controllers using fractional calculus , fuzzy logic , and metaheuristic algorithms like the Big Bang–Big Crunch method. She applies these techniques to diverse domains such as robotics, structural protection, and industrial automation. Her work emphasizes both theoretical development and practical implementation, as seen in applications to quadcopters, building seismic protection, and DC motor control. The most recent articles reflect a strong trend toward integrating fractional calculus with machine learning and distributed intelligence , particularly in system identification and adaptive learning frameworks. Her publications consistently focus on enhancing control performance, robustness, and adaptability in complex, nonlinear systems. Scientific Awards and Recognition: No specific awards are listed in the provided text. Advising and Grants: She is actively mentoring graduate students, with 50 theses currently in progress under her supervision. She has secured multiple competitive research grants, including: Federated Learning-Based System Identification and Uncertainty Quantification (2025–2027) Robust and Adaptive Loss Functions Using Fractional Calculus (2024–2025) Intelligent Systems and Fractional Order Controller Design (2023–2026) Controller Design for Fractional Order Systems (2018–2021) These projects highlight her leadership in cutting-edge control research. Labs and Research Teams: While specific lab names are not mentioned, her role as PI on multiple projects and her extensive collaboration network suggest she leads a research group focused on intelligent control and fractional-order systems at ITU. Her work involves interdisciplinary collaboration across engineering domains.
