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NSF Awards Medvedev Grant for Developing Algorithms for Detecting Genomic Structural Variation

Research could lead to a better understanding of the mechanics behind complex diseases like cancer

Paul Medvedev, assistant professor of computer science and engineering, biochemistry and molecular biology, and a member of the Genomics Sciences Institute at the Huck, has been awarded a $730,000 grant from the National Science Foundation to develop algorithms for detecting genomic structural variation.

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Tiny Generator Runs on Saliva. Really!

These micro-sized fuel cells could impact the future of ovulation detection or glucose monitoring

Saliva-powered micro-sized microbial fuel cells can produce minute amounts of energy sufficient to run on-chip applications, according to an international team of engineers.

Bruce E. Logan, Evan Pugh Professor and Kappe Professor of Environmental Engineering, credited the idea to fellow researcher Justine E. Mink. "The idea was Justine's because she was thinking about sensors for such things as glucose monitoring for diabetics and she wondered if a mini microbial fuel cell could be used," Logan said. "There is a lot of organic stuff in saliva."

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Ball Aerospace and Penn State Engineering Team Up on Lunar Lion Project

Two aerospace engineering undergraduate students from Lunar Lion impress executives during their internships

Penn State's Lunar Lion team is racing to win up to $20 million in prize money by landing a mission-controlled spacecraft on the moon, and Ball Aerospace is finding ways to help them get there.

Ball Aerospace President Rob Strain heard about Penn State's Lunar Lion project from a friend and former colleague, Michael Paul, who is the director of Space Systems Initiative at Penn State's Applied Research Lab. Strain approached Penn State alumna, Sherri Fike, vice president of Mission Assurance, who became excited to see how Ball could help the team in lieu of donating money.

One of those ways Ball is helping is through the summer internship program. Two Penn State students from the Lunar Lion team are spending the summer at Ball.

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More Than Meets the Eye

$10 Million NSF Expeditions in Computing award works to help computers not only see but understand

"Deep learning" is the task at hand for Vijaykrishnan Narayanan and his multidisciplinary team of researchers who are developing computerized vision systems that can match-and even surpass-the capabilities of human vision.

Narayanan, professor of computer science and engineering and electrical engineering, and his team received a $10 million Expeditions in Computing award from the National Science Foundation (NSF) to enhance the ability of computers to not only record imagery, but to actually understand what they are seeing-a concept that Narayanan calls "deep learning."

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Industrial Engineering PhD Students Teach in Ghana

The two-week course, sponsored by the Office of Naval Research-Global, provided intensive training for undergraduate students

Deanne McPherson and Seifu Chonde, dual degree PhD candidates in Industrial Engineering and Operations Research, recently traveled to the University of Ghana, Legon.

They were instructors for an intensive, Office of Naval Research-Global-sponsored, two-week course focusing on Python Programming and Software Engineering. Approximately 25 computer science undergraduate students at the University of Ghana participated in the course. LINK TO FULL STORY>>

$450,000 NSF Grant Supports Development of Sublinear Algorithms

Sofya Raskhodnikova's research addresses the challenges of big data and its impact on processing and privacy

Sofya Raskhodnikova, associate professor of computer science and engineering, has been awarded a $450,000 grant from the National Science Foundation (NSF) to develop sublinear algorithms for real data.

The area of sublinear algorithms aims to establish algorithmic foundations for processing big data. What global properties of the data can we understand while reading only a small portion of it? What if the data is noisy? Can we quickly restore a corrupted data point while ensuring some global property of the data? This project focuses specifically on sublinear algorithms for real-valued data and on real-world challenges associated with it.

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