Mihai Suciu

Mihai Suciu is an Associate Professor at the Department of Computer Science, within the Faculty of Mathematics and Computer Science at Babeș-Bolyai University in Cluj-Napoca, Romania.

Research Interests: His work focuses on the intersection of evolutionary optimization, machine learning (particularly binary classification), and game theory applied to network analysis. Key areas include:

• Game-theoretic models for classification and feature selection
• Extremal optimization algorithms for network problems
• Shapley value applications in influence maximization
• Critical node detection in weighted/hypergraphs

Article Trends: Recent publications emphasize hybridizing game-theoretic concepts (e.g., Nash equilibrium, Shapley value) with evolutionary algorithms to address classification, feature selection, and network robustness. Techniques like noisy extremal optimization and decision forests are recurrent themes.