From our origins in mathematical and technical computing, Wolfram technologies have gradually emerged as a major force in many other areas of computing. Passionate individuals and organizations have played a major role in helping advance the usage of our technologies. We recognize these deserving recipients with the Wolfram Innovator Award, which is awarded at the Wolfram Technology Conferences around the world.
The team at ValueScape Analytics uses the Wolfram Language and Wolfram technologies to build the cloud-based computational back end for their platform. ValueScape is an innovative data science company providing real estate analytics solutions through Valuation Navigator, an iOS application for appraisers and lending institutions. The company leverages the Wolfram Language running in the cloud to provide statistical analysis, visualization, density plots, and geographic data integration.
Stefan Braun is recognized for using Mathematica in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert.
Sam Daniel has been using Mathematica since 1988—the year Mathematica 1.0 was launched—to complete a range of innovative projects from patented work on fingerprint identification algorithms for Motorola to spearheading signal processing projects for Raytheon Missile Systems. His mastery of Mathematica has enabled him to document his work and share those results with others, bringing invaluable insights to areas from adaptive antenna simulation to radar ground clutter characterization. Sam’s continued work with Mathematica will include creating elaborate Enterprise CDFs from Wolfram SystemModeler for possible automatic extraction of parameters and control placement.
As Director of the Center for Complex Adaptive Agent Systems Simulation at Argonne National Lab, Charles Macal uses Mathematica to develop models for studying behavioral factors that contribute to the spread of Methicillin-resistant Staphylococcus aureus (MRSA) and to study how human reactions to political and military action can be quantified and used to simulate when and if conflicts will arise. Macal has been asked to work with the Federal Highway Administration on an innovative new project to develop models for understanding driver behavior for route planning and improving vehicular safety.