Sedigheh Khajouei Nejad
Papers
1
Total Citations
11
H-Index
1
About
Sedigheh Khajouei Nejad is a researcher whose work lies at the intersection of artificial intelligence, multi-agent systems, and game theory, with a particular focus on decision-making in dynamic environments. Her most cited paper, "Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent" (2007), introduces a novel approach that leverages game-theoretic principles and data mining to enable a coach agent to select optimal strategies for individual players in a simulated soccer environment. This work, with 11 citations, contributes to the broader field of multi-agent coordination and robotic intelligence, offering a framework for autonomous agents to adapt their behavior in competitive, real-time settings. By integrating game theory with data-driven techniques, Khajouei Nejad’s research provides a foundation for developing more intelligent and strategic agents in complex systems, from sports simulations to robotics and beyond. Her work is particularly relevant for students and researchers exploring how computational models can enhance decision-making in collaborative and adversarial multi-agent scenarios.
Research Focus
Key Achievements
Top Papers
- 1