Mohd Sharifuddin Ahmad
Papers
2
Total Citations
16
H-Index
2
About
Dr. Mohd Sharifuddin Ahmad is a leading researcher in autonomous systems and multi-agent computational modeling, with a focus on unmanned aerial vehicles (UAVs) and norm assimilation in heterogeneous communities. His most cited work, "A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles" (2018, 12 citations), addresses critical challenges in indoor UAV navigation by developing real-time trajectory assessment methods for dynamic environments, contributing to safer and more efficient autonomous flight. This research has implications for robotics and industrial applications requiring precise maneuvering. Additionally, his paper "How New Individuals Behave in a Heterogeneous Community: A Computational Approach to Norm Assimilation Using Agent-Based Systems" (2020, 4 citations) pioneers agent-based simulations to explore how newcomers adopt social norms in diverse groups, offering insights into computational social science. Dr. Ahmad’s work bridges engineering and social computation, demonstrating impact through practical navigation solutions and theoretical frameworks for collective behavior. His contributions advance autonomous navigation reliability and deepen understanding of norm dynamics in artificial societies.
Research Focus
Key Achievements
Top Papers
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