Dr. Kyle S Horne

Dr. Horne has taught at the University of Wisconsin Platteville for five years; prior to this he also taught at the University of North Texas and Utah State University. His doctoral work was completed at Utah State University but included on-site collaborations with the University of Toronto (~1 month) and Ecole Centrale de Paris (~9 months). An additional research collaboration took him to Sopron, Hungary.

His PhD is in Mechanical Engineering, and his research work has included thermal experiments and simulations ranging from the nano-scale all the way up to entire buildings. He has experience with a number of programming languages including the following: C/C++, Fortran, Ada, Python, Java, Julia, Javascript, Rust and others. He has built distributed memory cluster computers and written simulations on the using MPI for Monte Carlo simulation, sensitivity analysis, PDE solution, and more. Current research projects include Ab initio Uncertainty Quantification of Particle-image Velocimetry, Rheological Model Fits of ASME Polymer Data, and Mirror Pinhole Defect Identification.

Dr. Horne's teaching experience includes Thermal Systems Laboratory, Fluid Dynamics, Introduction to Computational Methods, Computational Methods in Engineering, and Computational Fluid Dynamics. In 2019 he we selected for the Early Career Faculty Award for Teaching Excellence by the University of Wisconsin Platteville, and in the same year was recognized for Excellence in Teaching by the National Society of Leadership and Success. His current pedagogical efforts include KEEN on Stories and integrating Entrepreneurial Minded Learning into his classes.

Outside of professional activities, Dr. Horne spends his time with his wife and two sons. This may include Stardew Valley, Minecraft, LEGOs, bike rides and more! He also has two different Dungeons and Dragons groups when time allows.