SEAS in the News

  • Active Twitter users spread misinformation and rumors during crises, study finds
    5/14/18
    International Business Times covered research by Jun Zhuang, associate professor in the Department of Industrial and Systems, who studied twitter use after Hurricane Sandy and the Boston Marathon bombing, finding that up to 90 percent of twitter users spread false news and less than 10 percent sought to confirm it.
  • Cops could soon be armed with cocaine breathalyzers
    5/11/18
    An article in the New York Post reports on a low-cost chemical sensing chip developed by Qiaoqiang Gan, associate professor of electrical engineering, that could test people for cocaine as quickly as a breathalyzer identifies alcohol.
  • Cocaine breathalyser 'one step closer'
    5/10/18
    An article on BBC News reports on a low-cost chemical sensing chip developed by Qiaoqiang Gan, associate professor of electrical engineering, that could test people for cocaine as quickly as a breathalyzer identifies alcohol.
  • Record-breaking solar still purifies water with clever geometry and … paper?
    5/10/18
    An article on Digital Trends interviews Qiaoqiang Gan, associate professor of electrical engineering, about his research that uses the power of the sun to evaporate and sanitize water at what the researchers report to be record-breaking rates, and notes the invention could be incorporated into water purifiers called solar stills that could help provide drinking water to people in areas affected by natural disasters.
  • Utah's rapid bridge construction
    5/9/18
    An article in Construction Equipment Guide about accelerated bridge construction, which was pushed into the spotlight after a Florida bridge failure in March killed six, interviews Amjad Aref, professor of civil, structural and environmental engineering, who said it was unclear what the builders in Florida were using in lieu of a tower to support the segment that collapsed.
  • Moog and University at Buffalo developing artificial intelligence for image recognition in metal 3D printing
    5/8/18
    An article in 3DPrint.com reports on a new research collaboration between UB and Moog Inc. to develop artificial intelligence for image recognition in metal 3D printing. The article mentions how engineer Rahul Rai and Moog received support from UB’s New York State Center of Excellence in Materials Informatics.