معرفی
Thierry-Sainclair Njougouo is a researcher specializing in collective decision-making processes, network dynamics, and complex systems. Their work focuses on applying heterogeneous mean-field theory to analyze decision-making in networks with zealots, leveraging interdisciplinary approaches from computer science, physics, and mathematics.
Research Interests:
- Collective decision-making in agent populations
- Chimera states in nonlinear dynamical networks
- Mean-field modeling of heterogeneous systems
- Interdisciplinary applications to hypergraphs and social dynamics
Research Output: Active in computational modeling and theoretical analysis, their recent work explores accuracy-speed trade-offs in best-of-n decisions and phase chimera states on non-local hyperrings. Publications include peer-reviewed journal articles and conference proceedings from 2022–2025.
Collaborations: Organized international workshops such as the 18th Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2024) and Cameroon’s first school on nonlinear dynamics and hypergraphs.
