From our origins in mathematical and technical computing, Wolfram technologies have 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.
Adjunct Professor, Northern Virginia Community College Areas: Authoring and Publishing, Defense Analysis, Education, Industrial Engineering, Mathematics, Operations Research, System Modeling
Dr. Colletti is an operations researcher and former Air Force major who has used Wolfram technologies extensively for research in defense and homeland security analysis. He used Mathematica to finish his dissertation on group theory, as well as for a number of subsequent publications over the following two decades. Consulting for many classified government projects, he utilizes the Wolfram Language and Wolfram SystemModeler to develop large-scale analytic models for personnel, logistics and program evaluation. Dr. Colletti has guided the research of eight master’s and doctoral students at several universities, and he has won awards for his work instructing mathematics courses with the Wolfram Language at Northern Virginia Community College.
David Creech is the manager of engineering analysis and development at McDermott (formerly CB&I) and a longtime user of the Wolfram Language. In his undergraduate and graduate programs, Creech used the Wolfram Language for mechanical engineering work, including the development of a Wolfram Language package for automating calculations to produce consumer ratings diagrams. At McDermott, he uses Wolfram technology in the development and management of leak detection and repair (LDAR) programs for industrial facilities. In 2012, he started an initiative at McDermott to replace hundreds of FORTRAN and Excel programs with Wolfram Language packages, modernizing their engineering workflow to provide easier access and customization for engineers. Creech’s colleagues are now using the Wolfram Language for their own computations and connecting them to these centralized packages to create more efficient tools for engineering their products.
Adjunct Assistant Professor, Catholic University of America Areas: Authoring and Publishing, Image Processing, Machine Learning, Nuclear Engineering, Optimization, Physics, System Modeling
Nicholas Mecholsky is a research scientist and professor focusing on optimization and physical modeling. In addition to demonstrating high-level math and physics concepts to his students with the Wolfram Language, he has utilized it in research publications on subjects ranging from animal flocks to autonomous cars to thermoelectric transfer. He is currently involved in a joint project with the US Department of Energy and Vitreous State Laboratory using Wolfram Language image processing and machine learning to model, analyze and predict crystallization phenomena in nuclear tank waste. The project has significantly improved the efficiency of vitrification (transformation into glass), helping to make safer nuclear waste storage a reality.
Dr. Singer is a mechanical engineer and entrepreneur who used Mathematica Version 1 in research to reduce vibrations in electric machines. Since then, he has heavily encouraged innovative uses of Wolfram technology within the engineering community. In 2013 he founded AC Kinetics, a company that uses the Wolfram Language and Wolfram SystemModeler to simulate and verify models for digital motor controller designs. The Wolfram workflow has provided the team with significant savings on development and computation time, and their resulting prototypes have reduced energy consumption by nearly 50% in some cases. Licensees of AC Kinetics products include many high-profile companies, such as NASA, Westinghouse and HP. In the future, Dr. Singer and his team hope to create interactive digital twins for real-time analysis and updating of models.
John Michopoulos uses Mathematica in his professional research with composite materials and has been published in the International Journal for Multiscale Computational Engineering, Composite Structures, and the Journal of Computing and Information Science in Engineering. He applies the global optimization capabilities of Mathematica to solve inverse problems and better understand the physics of materials and composite material designs.
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.