Congratulations to Robert Pastel for his new grant of $116,561 as a part of a collaborative NSF project, titled “Collaborative Research: MSB-FRA: Scaling Climate, Connectivity and Communities in Streams project”. This is a $1.4 million grant that involves Oklahoma University, University of Arizona, University Louisiana at Lafayette, Virginia Tech, Northern Arizona University, University of California at Berkeley, and . . .
Robert Pastel is a Co-Principal Investigator on this NSF grant led by Arizona State University (ASU). The project is titled, “SCC: Community-Based Automated Information for Urban Flooding” and the abstract is as follows: Flooding is the most damaging natural hazard in the U.S. and around the world, and most flood damage occurs in cities. Yet . . .
Tech Today announces: Aspiring student entrepreneurs and innovators are invited to apply for the Michigan Tech Silicon Valley Experience, a spring break tour of California Bay Area companies that includes meetings with entrepreneurs and Michigan Tech alumni who are leaders in their field. The deadline to apply is Friday, Feb. 8, and the application form . . .
In Fall 2018, Alex Larkin has a great achievement in NCL Cyber Competition Regular Season. His national rank is 17th out of 3324 participant, a great jump from 36th in Spring 2018. In addition, our NCL team (“Michigan Tech Hackers”) ranked 81 out of 360 teams in NCL Cyber Competition Postseason. It was the first . . .
The Department of Computer Science, supported by a gift from Google, will hold a 3-day workshop to introduce female undergraduate students with an interest in computer science, to research experiences, provide them with information about graduate school, and provide them with an opportunity to interact with current graduate students. The department has a long history . . .
When flood waters rise, more data helps better predict and monitor changing conditions. And soon there will be an app for that. The system is called the Integrated Flood Stage Observation Network (IFSON) and can take crowdsourced flood data, like smartphone photos, webcams and social media posts, then use image processing to assess flood stage . . .