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.

Frank Scherbaum, a professor of geophysics at the University of Potsdam, has been using Wolfram technologies since Mathematica 1. He has developed packages for signal processing, seismology, and seismic hazard analysis, which are widely used in research and teaching. His most recent book on probabilistic seismic hazard analysis, developed with the help of his students Nico Kuehn and Annabel Hëndel, covers widely diverse areas such as probability theory, earthquake seismology, strong motion processing, and geotechnical engineering, and has been fully generated with Mathematica and CDF technology. In addition, he uses Mathematica extensively as a hobby musicologist to explore new ways to represent and classify polyphonic vocal music.

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.

Chemical engineer Ronald Kurnik develops medical devices, using Mathematica for rapid prototyping of algorithms for signal and image processing and for quantitative chemical reaction modeling. His work has led Roche to file for 15 patents, 7 of which have been issued so far.

As part of the Advanced Air Traffic Management team at Boeing, Michael Ulrey develops quantitative models to study the safety of operations and make compelling safety cases to regulators. He has created 3D models to analyze flight paths of planes landing on parallel runways and simulate various situations.

Hear Michael Ulrey talk about flight operational safety analysis »