2022 Wolfram Innovator Award Winners Announced at the Wolfram Technology Conference

Stephen Wolfram stands with 8 Innovator Award winners accepting their awards

Winner of the Wolfram Innovator Award with Stephen Wolfram

Tungsten technologies have long been an integral part of many areas of industry and research. Executives in many top organizations and institutions have played an important role in leveraging computational intelligence and pushing the boundaries of leveraging the Wolfram technology stack for innovation across fields and disciplines.

On Wednesday, October 19th, the Innovator Award Ceremony and Keynote Dinner was held where Stephen Wolfram recognized eight exceptional individuals and teams from diverse fields, disciplines and around the world for their work in applying computational excellence to innovative and exciting way.

We are pleased to introduce and congratulate the winners of the Wolfram Innovator Award 2022:

Paul R Garvey

Distinguished Chief Engineer/Scientist, MITER Corporation

Department of Mathematics, Boston College

Paul R. Garvey is a Distinguished Chief Engineer/Scientist at MITER Corporation, a non-profit organization that operates federally funded research and development centers for the US government. He has decades of experience in systems operations research, network modeling, mission systems risk analysis, and applying risk decision analysis to a variety of federal government problems. His current work involves modeling the network structure of the US food supply chain, performed in collaboration with datasets and published studies by the University of Illinois Urbana-Champaign (UIUC) research team led by Professor Megan Konar.

Garvey has authored textbooks, authored several articles, holds a US patent, and continues to apply his expertise and extensive Wolfram Language skills to tackle big problems. An example is his work “US Food Supply Chain Security: A Network Analysis” in collaboration with UIUC. Using Mathematica’s network science capabilities, they were able to model 2,817 US counties (nodes) that define the meat supply chain and 30,670 origin-to-destination connections (edges) that exist between those counties.

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Compute to Learn Project, Geva Research Group

Ann Arbor of the University of Michigan

Accepted by: Ellen Mulvihill

The Compute-to-Learn project offers students the opportunity to engage in creative forms of active learning. Compute-to-Learn activities rely on evidence-based, student-centered learning approaches, such as B. an emphasis on real-world applications to foster student integration of new ideas, as well as authentic, collaborative environments that train students as members of an academic discipline (via practices such as explanatory writing and peer review). Students take part in tutorials and training courses on Mathematica; research and propose an original demonstration idea; workshop of the idea during the design and production phase; and finally, subject the final product to external verification prior to publication and dissemination on the Tungsten Demonstration Project website. Compute-to-Learn pedagogy is implemented in a peer-led Honors studio environment. It has been offered in the chemistry department of the University of Michigan since 2015.

Tetsuo Ida

Professor Emeritus, Tsukuba University

Tetsuo Ida is Professor Emeritus in the Department of Computer Science and Faculty of Engineering, Computer Science and Systems at Tsukuba University.

Ida was instrumental in expanding the use of computers in art and is particularly a pioneer of computer-aided origami. He and his team view origami as an object of art and the science and technology of forms. They developed a software system called Eos (E-Origami System) to think about origami computationally. Eos is written in the Wolfram Language and is available as a package for Mathematica.

Ricardo Martínez Lagoons

Advisor, World Bank and Inter-American Development Bank

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Ricardo Martínez-Lagunes is a consultant to both the World Bank and the Inter-American Development Bank. His professional focus is currently in the areas of water resource policy, information systems for water resource management and environmental economic accounts and assessments.

Martínez-Lagunes uses Wolfram technologies to develop the next generation of computational water policy analysis tools to better understand and address challenges such as improving water supplies. In addition, he has demonstrated the ability to ingest large and disjointed data sets, compute and visualize this information more efficiently, and create computational dynamic dashboards for policy makers to shape investment/funding initiatives.

William A Sethares

Professor, Electrical Engineering and Information Technology

University of Wisconsin-Madison

Bill Sethares is a researcher and professor of electrical and computer engineering in 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 non-engineering majors with its computationally intensive image processing courseware and project-based learning (all based on Wolfram Language, of course!). Sethares is a founding member of the LEOcode project, bringing calculations to art historians in the form of applications for finding patterns in watermarks and canvases. These can help identify and date historical papers and paintings.

Laurent Simon

Professor of Chemical Engineering and Vice Chancellor for Undergrad Studies

New Jersey Institute of Technology

Laurent Simon is Professor of Chemical Engineering and Vice Provost for Undergraduate Studies at the New Jersey Institute of Technology.

Simon’s current research focuses on transdermal drug delivery, protein purification, process modeling and control; These projects involve writing Wolfram Language code that plays a critical role in building population pharmacokinetic/pharmacodynamic models and in the design of transdermal drug delivery systems. The same research tools used with webMathematica are now used to extend chemical engineering curricula with applications in bioengineering.

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Daniel Sze

Research Fellow, Georgia Pacific Innovation Center

Daniel Sze is a Research Associate at the Georgia Pacific Innovation Center, working with dynamic systems modeling to realize a new way to conduct research, testing, and exploration in a much more cost-effective and timely manner.

Sze’s work focuses on the rapid creation of interactive design tools and dynamic systems modeling of some of Georgia Pacific’s largest papermaking systems. Dan is currently supporting an initiative to model large paper machines with Wolfram System Modeler and is creating a GUI to easily change parameters related to friction, torque, speed and other variables to better understand how large paper machines perform in these circumstances.

telconet

Award accepted by: Igor Krochin, Director

Igor Krochin is CEO of Telconet, the largest telecommunications company in Ecuador. They own some of the first certified cloud and data centers in Latin America, as well as the first fiber optic cable factory in the region.

Tomislav Topic and Krochin lead Telconet in implementing Wolfram Language solutions in a variety of areas including event log correlations, route analysis and optimization, big data analysis and error correlation, resulting in better planning and scalability. Telconet continues to build infrastructure and provide services, including Internet connectivity, to help students and educators in the region take advantage of Wolfram technologies, such as the Spanish version of Wolfram|Alpha, by giving them access to powerful and sophisticated computations from anywhere.

Please join us in congratulating these winners on their outstanding contributions to the application of computational intelligence.

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