Dr. Joel A. Rosenfeld is an Assistant Professor in the Department of Mathematics and Statistics at the University of South Florida and the Principal Investigator of the Learning DOCK Group. He received his Ph.D. from the mathematics department at the University of Florida in 2013 under the advisement of Dr. Michael T. Jury studying Operator Theory and Functional Analysis. Following graduate school, he was a postdoc in Mechanical Engineering at the University of Florida under Dr. Warren E. Dixon studying numerical methods in optimal control theory and fractional calculus. Subsequently, he joined the Department of Electrical Engineering and Computer Science at Vanderbilt University under Dr. Taylor T. Johnson studying numerical methods in formal methods for computing, which ultimately led to a position as a Senior Research Scientist Engineer within the Institute for Software Integrated Systems (ISIS). Dr. Rosenfeld is a Young Investigator Research Program (YIP) awardee through the Air Force Office of Scientific Research (AFOSR) (awarded in 2020).

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Xiuying Li received her masters degree from the mathematics department at the University of Science and Technology of China studying Computer Aided Geometric Design in 2007. She obtained her Ph.D. from the mathematics department at the Harbin Institute of Technology studying Numerical Computation and Numerical Analysis in Reproducing Kernel Spaces in 2012. In December 2019, she join the Learning DOCK Group as a visiting scholar studying nonlinear fractional order system identification and Dynamic Mode Decomposition based on occupation kernels. 

Himanshu Singh conducted his undergraduate and beginning graduate education studying mathematics at NIT Rourkela, India, where he received an Integrated Master of Science. Subsequently, he received a second Master of Science degree from the University of Iowa. Himanshu is currently a Ph.D. student under the direction of Dr. Joel A. Rosenfeld, where he is studying function theoretic operators closely tied with dynamical systems theory, Liouville weighted composition operators. These operators simultaneously generalize weighted composition operators and Liouville operators, where they allow for a compact “approximation” of unbounded operators.

Efrain Gonzalez attended the University of Florida where he earned two B.S. degrees in the Spring of 2015: one in physics and another in statistics. Efrain also, earned a M.S. degree from Florida International University in the Spring of 2018. He is currently pursuing a PhD in Statistics under the guidance of Dr. Joel A. Rosenfeld. During his graduate school career, he has interned at Travelers Insurance as a data scientist. Efrain's research interests lie in dynamic mode decomposition, functional data analysis, machine learning, probabilistic graphical models, and game theory.