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Daniel Barber
Research Assistant Professor

 

OFFICE:  Partnership II: 306B
EMAIL:  dbarber@ist.ucf.edu
PHONE:  407.882.1128
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CV: View Daniel Barber's CV

 

Education
Ph.D. in Modeling & Simulation
University of Central Florida

M.S. in Computer Engineering
University of Central Florida

B.S. in Computer Engineering
University of Central Florida
Bio

Daniel Barber earned his Ph.D. in Modeling and Simulation at the University of Central Florida (UCF) and is currently a Research Assistant Professor in Autonomous Systems at the Institute for Simulation and Training. Dr. Barber has extensive interdisciplinary research experience in the field of Modeling & Simulation, with work in intelligent systems, machine learning, human-agent collaboration, control systems, path-planning, computer vision, communication frameworks, and environment modeling. He has designed and overseen construction of multiple autonomous robotic systems which consistently ranked within the top five at international events sponsored by the Association for Unmanned Vehicle Systems International (AUVSI), Office of Naval Research (ONR), and the U.S. Army. In the execution of his research, Dr. Barber has also developed multiple prototype 3D simulation environments supporting human automation interaction, cyber security, insider threat, driverless cars, and nuclear power plant main control room operations. He is the primary developer and maintainer of the Mixed Initiative Experimental (MIX) Testbed used for HRI research by multiple universities and government organizations. Dr. Barber has also developed multimodal interfaces employing speech, gestures, and visual/auditory displays. In addition to prototype simulations for human assessment and system development, Dr. Barber has developed tools for synchronization and processing of data from multiple physiological sensors (e.g. Eye Tracking, Electrocardiogram, and Electroencephalography) within simulation and training environments. Current areas of research include: multimodal communication, intuitive user interaction devices, supervisory control of multiple vehicles, interfaces for connected and autonomous vehicles, decision-making, adaptive systems using physiological sensors, insider threat, and nuclear power plant operations.

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