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Wolfram Innovator Award

Wolfram technologies have long been a major force in many areas of industry and research. Leaders in many top organizations and institutions have played a major role in using computational intelligence and pushing the boundaries of how the Wolfram technology stack is leveraged for innovation across fields and disciplines.

We recognize these deserving recipients with the Wolfram Innovator Award, which is awarded at the Wolfram Technology Conferences around the world.


Paul R. Garvey

Distinguished Chief Engineer/Scientist, The MITRE Corporation

Areas: Authoring and Publishing, Data Analysis, Data Analytics, Economic Research and Analysis, Modeling Dynamical Systems with Mathematica, Risk Analysis, Risk Management, System Modeling

Paul R. Garvey is a distinguished chief engineer/scientist at The MITRE Corporation, a not-for-profit organization operating federally funded research and development centers for the US government. He has decades of experience in systems operations research, network modeling, mission systems risk analyses, and the application of risk-decision analytics across a variety of problems in the federal government. His current work involves modeling the network structure of the US food supply chain, which is being done in collaboration with datasets and published studies by the University of Illinois Urbana-Champaign (UIUC) research team led by Professor Megan Konar.

Garvey has authored several textbooks, written numerous papers, holds a US patent, and continues to contribute his expertise and extensive Wolfram Language abilities to tackle big problems. One example is his work “US Food Supply Chain Security: A Network Analysis,” in conjunction with UIUC.

Utilizing Mathematica’s network modeling technologies, they identified critical US counties and links associated with the meat supply chain, which is characterized by 2,817 US counties (nodes) and 30,670 origin-to-destination links (edges) that exist between them.


Daniel Sze

Research Fellow, Georgia Pacific Innovation Center

Areas: Engineering, Modeling Dynamical Systems with Mathematica, System Modeling, Systems Engineering

Daniel Sze is a research fellow at the Georgia Pacific Innovation Center, working with dynamic system modeling to realize a new way to conduct research, tests and exploration in a much more cost-effective and timely way.

Sze’s work focuses on quickly building interactive design tools and dynamic system modeling of some of Georgia Pacific’s largest papermaking systems. Dan is currently supporting an initiative to model large papermaking machines using Wolfram System Modeler, producing a GUI to easily change parameters related to friction, torque, speed and other variables to better understand the way large papermaking machines function under those circumstances.


Dr. János Karsai

Bolyai Institute, University of Szeged

Areas: Authoring in Mathematica, Computer-Aided Education, Impulsive Systems, Modeling Dynamical Systems with Mathematica, Nonlinear Oscillations, Population Dynamics

János Karsai has been using Mathematica since 1994 in teaching and research. He teaches mathematics and Mathematica-aided modeling to math, pharmacy, biology, and engineering students in Szeged and Berlin, and has given several Mathematica trainings of different levels and topics in Hungary, Czech Republic, Serbia, and Romania. He has supervised several outstanding students in Mathematica-related research. Karsai applies Mathematica experiments in his research; works on modernizing mathematical education, especially in applied sciences; and manages several projects in these fields. He developed a package and wrote a book on impulsive systems with Mathematica in 2002 and has prepared several dynamic teaching materials in Mathematica for his courses. Karsai manages the website www.model.u-szeged.hu.


John Michopoulos

Naval Research Laboratory

Areas: Control, Control Engineering, Materials Science, Modeling Dynamical Systems with Mathematica, Physics, System Modeling

John Michopoulos uses Mathematica in his professional research with composite materials and has been published in the International Journal for Multiscale Computational Engineering, Composite Structures, and the Journal of Computing and Information Science in Engineering. He applies the global optimization capabilities of Mathematica to solve inverse problems and better understand the physics of materials and composite material designs.

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