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Wolfram Innovator Award 2015

发布时间:2020/12/23 浏览量:742
We recognize these deserving recipients with the Wolfram Innovator Award

Wolfram technologies have long been a major force in many areas of industry and research. Leaders in many top 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 fields and disciplines.

 

We recognize these deserving recipients with the Wolfram Innovator Award, which is awarded at the Wolfram Technology Conferences around the world.

 

 

Kale Wallace

Areas: Chemical Engineering, Image Processing

 

Kale Wallace first started using Mathematica in university courses and has since used it in his work at Southwestern Energy and Samson Energy for data handling and image processing. At Southwestern Energy, Wallace built a well productivity prediction model analyzing millions of lines of data and using machine learning to predict well performance based on drilling and completion parameters. He has also created field-development visualizations showing wells brought online and their corresponding production and cashflow. His replication of the ARIES economics engine in Mathematica allowed probabilistic (Monte Carlo) economics methods, full-field development scenarios, break-even calculations, and go-forward recommendations to be evaluated much more quickly than could be done in ARIES.

 

 

Mark Adler

Areas: Electrical Engineering, Mathematics, Physics

 

Mark Adler is best known for his work in the field of data compression as the author of the Adler-32 checksum function, and as co-author of the zlib compression library and gzip. He was also the Spirit Cruise Mission Manager for the Mars Exploration Rover Mission and is an instrument-rated private pilot, a certified scuba diver, and an amateur theater actor. Mark has used Mathematica for decades, including during his work on the Mars Exploration Mission. Using NDSolve and numeric integers, the team simulated entry through a variety of changing conditions to mitigate risk and more accurately predict a successful landing.

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