Dr. Erika Gallegos’ research focuses on integrating humans with complex systems to enhance safety, performance, and overall system resilience. Her work focuses on human-AI teaming and human-machine interaction, with particular interest in developing appropriate trust, maintaining situation awareness, and ensuring ethical and transparent AI decision support. She applies advanced machine learning and artificial intelligence techniques, including deep learning, predictive analytics, and computer vision, to understand and enhance system behavior for human operators.

Dr. Gallegos’ research spans multiple application domains, with a specific focus on transportation systems where AI, automation, and connected technologies present unique challenges for safety, trust, and system design. Her broader goal is to create intelligent systems that reliably support human users, improve decision quality, and enable safe and effective adoption of emerging technologies.

Her education and research backgrounds are in civil engineering, industrial and systems engineering, transportation engineering, human factors, and applied AI.