Human-Machine Teams

Researchers at S&T are working to integrate machine learning, computer vision, and robotic sensors to create advanced autonomous systems that can respond to their environment with and without human intervention. However, this can increase the burden on human operators if not well-designed. Anticipated applications are training of first responders and line workers at manufacturing facilities, automated and semi-automated monitoring of infrastructure, artificial intelligence to respond to on-line learners, and the use of virtual and augmented reality to provide on-line learners with access to simulated engineering process facilities.

Meet the experts

Casey Canfield

Assistant Professor
Engineering Management & Systems Engineering

Research Interests

Grid modernization; model of soci-technical systems; human systems integration; decision-making interventions

Steven Corns

Associate Chair of Graduate Studies and Associate Professor
Engineering Management & Systems Engineering

Research Interests

Computational intelligence, complex systems, bioinformatics

Benjamin Kwasa

Assistant Professor
Engineering Management & Systems Engineering

Research Interests

Organization design in the design of complex systems; Unmanned aerial systems integration; Value-driven design; Multidisciplinary design optimization; Heuristic optimization; Systems design; Systems engineering; Preference formulation and communication; Risk simulation in design and modeling; Engineering education; Meta-modeling; Decision analysis; Systems requirements development

Ming C. Leu

Bailey Professor
Mechanical and Aerospace Engineering

Research Interests

Rapid prototyping, additive manufacturing, intelligent manufacturing, virtual reality, CAD/CAM, robotics, mechatronics and automatic control

Suzie Long

Department Chair and Professor
Engineering Management & Systems Engineering

Research Interests

Critical infrastructure systems, strategic management, sustainable infrastructures, management, supply chain and transportation, systems management, organizational behavior, sociotechnical systems analysis