Wolfram Computation Meets Knowledge

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.

2013

Prof. Dr. Frank Brand

Berlin School of Economics and Law, Germany

Areas: Finance, High-Performance and Parallel Computing, Industrial Engineering Economics, Mathematics

Physicist Frank Brand teaches courses in business mathematics, statistics, econometrics, and optimization using Mathematica. He has used Mathematica for many years, starting with his PhD thesis, “Optimization of Complex Optical Systems with Evolution Strategies.” Frank’s achievements using Mathematica in his research include the automatic construction of quality functions related to optimization problems. He also used Wolfram technology to write books—very recently he published a book on the analysis of complex systems, based on applications of graph theory.

2013

George Danner

President, Business Laboratory, LLC

Areas: Industrial Engineering, Industrial Engineering Economics

In his role as President of Business Laboratory, LLC, George Danner uses Mathematica to solve complex problems for mid-size and large businesses and government organizations. Following the flu outbreaks that took health agencies by surprise in 2008, Danner simulated a hypothetical outbreak in Alabama. As a result, state and federal health officials were able to role-play a series of outbreaks and identify barriers to outbreak response. Other accomplishments include assisting an energy company with over 1,100 natural gas wells in identifying an optimal drilling sequence and helping a large national retailer double its number of stores by using simulated shopper agents to determine optimal locations.

All Recipients:

By Year:

By Area of Interest:

See More