Andrew Martin Pownuk

Dr. Andrew Martin Pownuk is an Associate Professor at the Department of Mathematical Sciences, The University of Texas at El Paso. His work bridges computational science, uncertainty modeling, and fuzzy logic, with a focus on engineering applications. He holds dual PhDs in Computational Science (2017) and Computational Methods in Engineering (2001), and has taught at UTEP since 2006.

• Ph.D. Computational Science, The University of Texas at El Paso (2017)
• Ph.D. Computational Methods in Engineering, Silesian University of Technology, Poland (2001)
• M.S. Mathematics and Computational Science, The University of Texas at El Paso

His research centers on combining interval and probabilistic uncertainty for engineering problems, unsupervised learning, and computational mechanics. Recent work explores quantum computing's potential for uncertainty propagation and HyFlex teaching methodologies.

Dr. Pownuk has received multiple accolades, including the 2018 NAFIPS Best Thesis Award and multiple Academic and Research Excellence awards. He contributed to projects with Chevron Corporation, Army Research Laboratory, and international collaborations like the COCONUT Project.

• 2018 NAFIPS Best Thesis Award
• 2017/2014 UTEP Academic and Research Excellence
• 2000 Silesian University Scientific Achievement Award