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Wolfram Innovator Award 2020

latest update:2020/11/12 Views:702
Wolfram technologies have long been a major force in many areas of industry and research

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.

 

 

Omar Olmos

Areas: Computational Physics, Data Science, Education, Machine Learning, Mathematics Courseware Design, Physics

 

Omar Olmos is north regional director of science and engineering for the Monterrey Institute of Technology, where he uses Mathematica for a range of education and research tasks. In addition to developing interactive examples, tutorials and other student resources, he uses Wolfram Language machine-learning analytics to predict student performance. Omar has also used Mathematica to model electromagnetic waves interacting with nanostructures, performing numeric experimentation to study new nanoscale optical effects.

 

 

Gustavo Restrepo

Areas: Chemical Engineering, Energy Engineering, Fluid Dynamics, Industrial Engineering Economics, System Modeling, Systems Engineering

 

Gustavo Restrepo is a chemical engineer and entrepreneur who has used Wolfram technology extensively in the energy industry. During his PhD studies in industrial thermal engineering, he used Mathematica to model a thermochemical heat recuperation system to optimize energy efficiency. Working as a process engineer, he used Mathematica for many optimization problems involving separation vessels, heat transfer systems and heavy oil transport. In 2017, he cofounded Exergétika, where he is developing a Wolfram System Modeler package with hydrodynamic components for modeling networks and associated control loops, among other applications, to implement computational thinking in engineering.

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