Hands-on Research
Students and scholars contribute directly to applied research, prototyping, simulation, and data-driven problem solving.
CEPDAM engages undergraduate students, graduate researchers, postdoctoral scholars, and research associates in interdisciplinary, industry-relevant work spanning design, smart manufacturing, industrial AI, digital twins, and workforce development.
Hands-on Research
Students and scholars contribute directly to applied research, prototyping, simulation, and data-driven problem solving.
Industry Relevance
Research experiences are aligned with real-world manufacturing, automation, safety, and emerging technology challenges.
Workforce Pipeline
CEPDAM develops talent across the full pathway, from undergraduate engagement to advanced research and translational impact.
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Researches AI-supported learning, multimodal measurement, and performance analytics in advanced manufacturing environments. |
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Heegyu Kim, Ph.D.
Postdoctoral Scholar Leads advanced research activities in brain-computer interfaces (BCIs), hyperscanning, and AI-based neural signal analysis, and contributing to externally sponsored projects. |
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Patrick Seebold, Ph.D. Research Scholar Leads research that bridges human behavior, neuropsychology, and artificial intelligence. Interested in the design and application of systems and technologies that support, restore, and augment human capabilities. |
CEPDAM welcomes students, scholars, and collaborators who are interested in research, innovation, and workforce development at the intersection of design, manufacturing, and AI.