Join us in welcoming Michael Biehler, an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison, to the Department of Industrial and Systems Engineering Graduate Seminar.

Dr. Biehler will present his seminar titled "From 4D Machine Learning to 4D Printing: Research at the Intersection of Computation, Materials, and Manufacturing." This talk presents recent research at the intersection of 4D machine learning and 4D printing, highlighting how dynamic 3D data and programmable materials together open new possibilities for intelligent, adaptive manufacturing. By treating evolving 3D shapes as dynamic 3D point cloud time series, we develop modeling approaches that capture the full spatiotemporal behavior of physical systems. These representations enable richer prediction, monitoring, and control capabilities in 4D printing processes. Advances in stimuli-responsive materials, such as shape memory polymers, have created new opportunities for designing morphing structures, soft robotic components, and functional devices whose geometry evolves in response to external cues. Yet achieving precise and predictable shape transformation remains a central challenge. By combining dynamic 4D point cloud modeling with experimental and simulation studies of 4D printed structures, we explore how data-driven methods can enable transformative 4D printing applications by tightly controlling the interplay between process parameters, material response, and shape morphing.