
Ajanthan Kanagasabapathy developed and integrated the Team AoA System with Cheating Detection for the ADimoska/SOMASExtended repository, focusing on backend development and agent-based modeling using Go. The system replaced the existing placeholder for Team 6 in the environment server, introducing a robust anti-cheat pipeline that enhances security and fairness. Ajanthan addressed AoAID mapping issues to ensure correct association and enforcement for Team 6, improving data quality for analytics and downstream reporting. The work demonstrated depth in system design and game theory, delivering a maintainable solution that supports accurate monitoring and enforcement of team behaviors within the simulation environment.
December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.
December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.

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