Faculty Profile

Brian Goldiez, PhD

Brian Goldiez, PhD, has been active in a wide range of modeling and simulation research for over 30 years. He is a member of the Modeling and Simulation faculty, Deputy Director of IST, and holds a joint appointment in Industrial Engineering and Management Systems. He directed pioneering work in using higher order computer languages in training systems, the use of texture in computer graphics systems, developing distributed simulation approaches, and the use of PC graphics systems for simulators. Dr. Goldiez is currently involved in research using wearable computers in virtual and augmented reality, and mathematical methods for recognizing emergent behavior of human agent teams. He is also involved in using high performance computing for certain simulation problems. Generally, his research work involves assessment methods to gain better insights and direction in technological and human performance in modeling and simulation.

Patricia Bockelman Morrow, PhD

Patricia Bockelman Morrow is an assistant research professor in the Institute for Simulation and Training. She teaches Perspectives on Modeling and Simulation, one of the core courses for the master's and PhD programs. After earning her bachelor’s degree at Ball State University in Muncie, IN, she came to UCF for both her master’s and doctoral degrees. Her research focuses on intelligent behaviors in synthetic systems, including learning and training as well as the capturing of human performance using physiological metrics. She co-authored the book The Science of Awe and Wonder: Neurophenomenology and non-reductionist cognitive science (Palgrave Macmillan, 2016) and has been published in the journal Frontiers in Human Neuroscience. Her work in neurophenomenology won first place at the Florida Space Institute’s Space Tech 1.0 conference, and her work in blended learning won 2014 I/ITSEC best paper.

When asked what she finds most rewarding about teaching at UCF, Dr. Bockelman replied “The projects we work on at UCF make a real difference in the world. I see how researchers from various backgrounds collaborate to tackle projects that are complex and important. I also love the students. They absolutely inspire me and make me want to be a better teacher and researcher.”

R. Paul Wiegand, PhD

R. Paul Wiegand, PhD has been writing computer code since he was eleven years old. His interest in science has been in existence since he can remember, but it wasn’t until the end of his undergraduate career that the two worlds connected. As a professor at the University of Central Florida, he teaches Quantitative Aspects of Modeling and Simulation, as well as Interdisciplinary Approach to Data Visualization. In the past, he also taught Machine Learning. Dr. Wiegand conducts research in the areas of machine learning and optimization, while he co-manages high performance computer resources for UCF at the Advanced Research Computing Center.

Dr. Wiegand noted that, in general, he finds that complex analytical concepts, like mathematics, at the college level are taught without providing much context. When describing the most rewarding aspect of teaching at UCF, he commented, “I see my role as a teacher as helping students build context so they can understand such concepts better.” When his students begin to understand not just how to solve certain problems, but the deeper meaning of the problem itself and why certain methods work or possibly do not work, that is when Dr. Wiegand becomes most excited as a teacher. 

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