Khaled M. Khalil
Papers
3
Total Citations
30
H-Index
3
About
Khaled M. Khalil is a pioneering researcher in the intersection of artificial intelligence and crisis management, with a focused expertise in multi-agent systems and machine learning for emergency response. His foundational work, beginning with "The Role of Artificial Intelligence Technologies in Crisis Response" (2008, 12 citations), established a framework for using information technology to reduce uncertainty and manage resources during disasters. Khalil’s seminal contribution, "Multi-Agent Crisis Response Systems - Design Requirements and Analysis of Current Systems" (2009, 10 citations), laid the groundwork for future crisis environments where software agents, robots, and human responders collaborate seamlessly. He further advanced the field by exploring machine learning algorithms for multi-agent systems (2015, 8 citations), addressing the complexity of tasks in robotics, distributed control, and collaborative decision support. Though his citation counts reflect a niche but dedicated audience, Khalil’s work is notable for its visionary approach to integrating autonomous agents into high-stakes scenarios, influencing subsequent research in adaptive, real-time crisis response technologies.
Research Focus
Key Achievements
Top Papers
- 1The Role of Artificial Intelligence Technologies in Crisis Response12 citations · 2008
- 2
- 3Machine Learning Algorithms for Multi-Agent Systems8 citations · 2015