Scott A. DeLoach
Papers
16
Total Citations
346
H-Index
11
About
Scott A. DeLoach is a prominent computer scientist whose research spans multiagent systems engineering, autonomous robotics, and human-agent teaming. He is perhaps best known as a principal architect of the Multiagent Systems Engineering (MaSE) methodology, a rigorous framework for analyzing and designing complex multiagent systems that has been widely adopted and cited across multiple publications totaling hundreds of citations. His work on MaSE provides developers with structured transformation steps and complementary models, bridging the gap between theoretical multiagent design and practical implementation in domains such as cooperative robotics and search-and-rescue applications. DeLoach has also made significant contributions to adaptive multi-robot systems, developing organization-based frameworks that enable heterogeneous robot teams to dynamically reorganize in response to changing conditions or capability loss. His 2017 work on shared mental models in human-agent teams, his most-cited contribution with 87 citations, reflects a broadening of his research into the cognitive and collaborative dimensions of human-AI interaction. Beyond technical research, DeLoach has demonstrated a commitment to science education equity, leading the Robot Roadshow Program to inspire rural and underserved elementary students in mathematics and science. His career exemplifies a rare combination of rigorous systems engineering, adaptive autonomy research, and meaningful community outreach.
Research Focus
Key Achievements
Top Papers
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- 3The MaSE Methodology30 citations · 2006
- 4Applying Agent Oriented Software Engineering to Cooperative Robotics28 citations · 2002
- 5Runtime models for automatic reorganization of multi-robot systems25 citations · 2011
- 6Multi-Agent Systems Engineering24 citations · 2009
- 7Multi-Agent Systems Engineering24 citations · 2005
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