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Walter E. Wilson
January 29, 2018

RICHLAND, Wash. – Walter E. Wilson, who taught computing and retired WSU Tri-Cities, died Jan. 7, 2018 after battling Alzheimer’s disease. He was 83.

WSU researchers join power grid simulation spanning two continents
November 27, 2017

By Siddharth Vodna, intern, Voiland College of Engineering and Architecture

PULLMAN, Wash. – Washington State University recently took part in a live demonstration that connected eight laboratories across two continents to simulate the global electric power grid.

Engineering hardware hackathon reveals students’ innovative skills
November 1, 2017

By Siddharth Vodnala, intern, Voiland College of Engineering and Architecture

Student creates innovation in WSU Hardware Hackathon PULLMAN, Wash. – Zach Gherman carefully connected his wind turbine to a voltmeter, a device that measures electric voltage, and waited for a reading to emerge. After several nervous seconds of peering into the screen, he pumped his fists in the air and said “six volts,” while his teammate Yousef Saleh grinned broadly.

Enterprise Systems migrating applications from mainframe to Cloud
August 31, 2017

By Jacqueline Southwick, Information Technology Services

palouse cloudsPULLMAN, Wash. – For more than three decades, WSU’s IBM mainframe — a highly secure and reliable platform for large-scale online and batch transaction processing — has effectively managed WSU’s business applications.

Aug. 17-19: Boeing Computer Programming Camp for middle-school students
August 16, 2017

By Brandon Chapman, College of Education

PULLMAN, Wash. – A free computer programming camp for middle-schoolers, designed to help promote the students’ logical thinking and problem-solving skills. is being spearheaded by Rachel Wong, a College of Education doctoral student.

Computer approaches human skill for first time in brain challenge
August 16, 2017

By Tina Hilding, Voiland College of Engineering and Architecture

PULLMAN, Wash. – A WSU research team for the first time has developed a computer algorithm that is nearly as accurate as people are at mapping brain neural networks — a breakthrough that could speed up the image analysis that researchers use to understand brain circuitry.