2022

William A. Sethares

Professor, Electrical and Computer Engineering, University of Wisconsin–Madison

Areas: Computational Humanities, Computational Thinking, Computer-Aided Education, Courseware Development, Engineering, Image and Signal Processing, Image Processing, Signal Processing

Bill Sethares is a researcher and professor of electrical and computer engineering at the College of Engineering at the University of Wisconsin–Madison, focusing on signal processing with applications in acoustics, image processing, communications and optimization.

At the University of Wisconsin–Madison, Sethares attracts students from majors beyond engineering with his computationally rich image processing course material and project-based learning (all Wolfram Language–based, of course!). Sethares is a founding member of the LEOcode project and brings computation to art historians in the form of applications used to find patterns in watermarks and canvases. These can help to identify and date historical papers and paintings.

2014

Frank Scherbaum

University of Potsdam

Areas: Musicology, Probability Theory, Seismology, Signal Processing

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.

2013

Sam Daniel

Engineering Fellow, Raytheon

Areas: Control Engineering, Engineering, Signal Processing

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.

2013

Stefan Braun

Managing Director of SmartCAE

Areas: Aerospace, Biotechnology, Chemical Engineering, Control, Data Mining and Analysis, Engineering, Finance, Financial Risk, High-Performance and Parallel Computing, Image Processing, Industrial Engineering, Interface Design, Materials Science, Mathematica Consulting, Mechanical Engineering, Pharmaceutical, Physics, Risk Analysis, Signal Processing, Structural Engineering

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.

2011

Michael Ulrey

Boeing

Areas: Aerospace, Industrial Engineering, Interface Design, Signal Processing

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 »

2011

Ronald Kurnik

Roche Molecular Systems

Areas: Chemical Engineering, Image Processing, Pharmaceutical, Signal Processing

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.