NSF CAREER recipient using AI to advance weather forecasting
Haonan Chen is developing a suite of AI models that draw on data from radar observations of clouds and precipitation to improve the accuracy of short- and long-term weather predictions.
Tag: "Department of Electrical and Computer Engineering"
Colorado State University engineering celebrates women in aerospace
Engineering SOURCE sat down with women from across the College to share their stories and advice to the next generation of the aerospace industry.
Nearing retirement, McLean looks back on a decade of service as engineering dean
As David McLean approaches the end of his 10-year tenure as dean of the Walter Scott, Jr. College of Engineering, he recently reflected on some highlights of his time at CSU.
E-Days 2023: Minnie Piffarerio on the importance of senior design projects
Engineering Source talked with chemical and biological engineering senior design advisor Minnie Piffarerio about showcasing student projects at E-Days.
New CreatorSpace invites students to explore electrical and computer engineering
“Creativity and collaboration are at the heart of what we do,” said Edwin Chong, ECE department head. “We wanted a space where all students feel welcome and emboldened to create.”
TILT teaching framework paying dividends for faculty, students
In spring 2022, Colorado State University Professor Diego Krapf decided to change up a few things in one of his courses, based on a model developed by The Institute for Learning and Teaching.
CSU students receive prestigious NSF Graduate Research Fellowships
Fifteen CSU students were recently recognized by the National Science Foundation Graduate Research Fellowship Program, one of the country’s top STEM fellowship programs.
From farm to degree: Engineering student’s future ripe with opportunity
The CSU graduate student always wanted to develop technologies to improve agricultural operations – and one day produce dragon fruit wine.
Research Spotlight: Five questions with ECE graduate student Cheng Guo
"My research focuses on monitoring and identifying individual wild African leopards. The approach is similar to facial recognition technology but applied to leopards in the wild."