معرفی
Carmela Bernardo is a Research Fellow in the Department of Engineering at Università degli Studi del Sannio (UNISANNIO). Her academic work focuses on opinion dynamics, consensus algorithms, and multi-agent systems within the field of control theory. She teaches 'LEARNING FOR DYNAMICS AND CONTROL' for the Master's Degree program in Electronics Engineering for Automation and Sensing, with office hours held on Wednesdays from 10:00 to 12:00 at PalaUNISANNIO.
Dr. Bernardo's research centers on mathematical modeling of social dynamics, particularly exploring the Hegselmann-Krause opinion dynamics model and bounded confidence frameworks. Her work investigates how confidence thresholds affect opinion clustering, develops mixed logical dynamical models for opinion evolution, and examines consensus achievement in systems with stubborn agents. She has made significant contributions to understanding finite-time convergence in asymmetric models and the synchronization properties of Kuramoto oscillators under bounded confidence constraints.
Her publication record demonstrates a clear progression from theoretical foundations to practical applications, with recent work including comprehensive surveys that synthesize knowledge in bounded confidence opinion dynamics. The most recent publications show expansion into experimental verification of theoretical models and applications to complex real-world scenarios.
Dr. Bernardo maintains an active collaboration network with researchers including Francesco Vasca, Claudio Altafini, and Trisha Srivastava. Her work appears in high-impact journals such as AUTOMATICA, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, and NATURE COMMUNICATIONS, reflecting the interdisciplinary nature of her research that bridges control theory with social dynamics.
