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Researching engineering design automation and methods, Cagan merges AI, machine learning, and optimization methods with cognitive science problem solving. One focal area is the cognitive basis and computational modeling of designer processes to improve the effectiveness of human designers, with a focus on hybrid human/AI teams. Another area includes computational methods for the design and diagnosis of biomechanical systems. An additional focus is in user-centered design and integrated product development practice. He exemplifies the college’s culture of advanced collaboration, having worked with engineers, psychologists, neuro-scientists, marketers, designers, computer scientists, and architects in his work.
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Proceedings of the Design Society (2024): 2337-2342
JOURNAL OF MECHANICAL DESIGNno. 5 (2024)
JOURNAL OF ENGINEERING DESIGN (2024)
International Journal of Human–Computer Interactionpp.1-18, (2024)
JOURNAL OF MECHANICAL DESIGNno. 5 (2024): 1-26
arxiv(2024)
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Journal of Mechanical Designno. 7 (2023): 1-38
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING (2023)
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