2022 Wolfram Innovator Award Winners Announced at Wolfram Technology Conference


Winners of the Wolfram Innovator Award with Stephen Wolfram

Wolfram technologies have long been a major force in many areas of industry and research. Leaders from many leading organizations and institutions have played a major role in using computational intelligence and pushing the boundaries of how the Wolfram technology stack is leveraged for innovation across all fields and disciplines.

On Wednesday, October 19, the Innovator Awards Ceremony and Opening Dinner took place, during which Stephen Wolfram recognized eight outstanding individuals and teams from all fields, disciplines and the world for their work in the application of IT excellence in innovative and exciting ways.

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

Paul R. Garvey

Chief Engineer/Distinguished Scientist, MITER Corporation

Faculty of Mathematics Department, Boston College

Paul R. Garvey is a distinguished chief engineer/researcher at MITER Corporation, a nonprofit organization operating federally funded research and development centers for the U.S. government. He has decades of experience in systems operations research, network modeling, mission systems risk analyses, and the application of risk and decision analysis to a variety of problems within the federal government. His current work involves modeling the network structure of the US food supply chain, which is done in collaboration with datasets and studies published by the University of Illinois Urbana-Champaign (UIUC) research team led by Professor Megan Konar.

Garvey is a textbook author, has written several articles, holds a U.S. patent, and continues to contribute his expertise and broad Wolfram language ability to solve big problems. An example is his work “Food Supply Chain Security in the United States: A Network Analysis», in collaboration with the UIUC. Using MathematicalUsing network science capabilities, they were able to model 2,817 U.S. counties (nodes) defining the meat supply chain and 30,670 origin-destination links (edges) that exist between those counties.

Compute-to-Learn project, the Geva research group

University of Michigan Ann Arbor

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 stem from evidence-based, student-centered approaches to learning, such as a focus on real-world applications to promote student integration of new ideas, as well as authentic collaborative environments that train students as members of a scientific community. discipline (through practices such as explanatory writing and peer review). Students participate in tutorials and training related to Mathematica; research and propose an original Demonstration idea; idea workshop during the design and production stages; and, finally, subjecting the final product to external review before publication and dissemination on the Wolfram Demo Project website. Compute-to-Learn pedagogy is implemented in a specialized peer-led studio environment. It has been offered at the University of Michigan Chemistry Department since 2015.

Tetsuo Ida

Emeritus Professor, University of Tsukuba

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

Ida was instrumental in expanding the use of computation in art and is a pioneer of computational origami in particular. He and his team treat origami as a subject of art and a science and technology of forms. They developed a software system called Eos (E-origami system) to reason about origami by computer. Eos is written in the Wolfram Language and is available as a package for Mathematica.

Ricardo Martinez-Lagunes

Consultant, World Bank and Inter-American Development Bank

Ricardo Martínez-Lagunes is a consultant for the world Bank and the Inter-American Development Bank. His main professional activities currently focus on water resources policy, information systems for water resources management and environmental economic accounts and valuations.

Martínez-Lagunes is using Wolfram technologies to develop the next generation of computational water policy analysis tools to better understand and address challenges such as improving water services. Additionally, it has demonstrated the ability to ingest large and disconnected datasets, compute and visualize this information more efficiently, and create dynamic dashboards by computation for decision makers for designing policies for investment initiatives. /funding.

William A. Sethares

Professor, Electrical and Computer Engineering

The University of Wisconsin-Madison

Bill Sethares is a researcher and professor of electrical and computer engineering at the College of Engineering in The University of Wisconsin-Madisonfocused 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 its computationally rich image processing course materials and project-based learning (all based on Wolfram Language, although sure !). Sethares is a founding member of the LEOcode project and brings calculus to art historians in the form of apps used to find patterns in watermarks and webs. These can help identify and date historical documents and paintings.

Lawrence Simon

Professor of Chemical Engineering and Vice-Rector for Undergraduate Studies

New Jersey Institute of Technology

Laurent Simon is a professor of chemical engineering and vice-rector for undergraduate studies at the Université 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 is instrumental in building population pharmacokinetic/pharmacodynamic models and designing transdermal drug delivery systems. These same research tools, deployed with webMathematicaare now used to enrich chemical engineering curricula with applications in biological engineering.

Daniel Sze

Researcher, Georgia Pacific Innovation Center

Daniel Sze is a research fellow at Georgia Pacific Innovation Centerworking with dynamic system modeling to achieve a new way of conducting research, testing and exploration in a much more cost-effective and time-efficient manner.

Sze’s work focuses on rapidly creating 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 using Wolfram System Modelerproducing a graphical interface to easily change parameters related to friction, torque, speed and other variables to better understand how large paper machines operate under these circumstances.


Award accepted by: Igor Krochin, director

Igor Krochin is the Managing Director of Telconet, the largest telecommunications company in Ecuador. They have some of the first certified data and cloud 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 wide variety of areas, including event log correlations, route analysis and optimization, big data analysis, and correlation outages, improving planning and scalability. Telconet continues to build infrastructure and deploy services, including Internet connectivity, that help students and teachers across the region equip themselves with Wolfram technologies, such as the Spanish version of Wolfram|Alphaby accessing powerful and sophisticated calculations from anywhere.

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


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