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Open House (Summer 2017)

WHAT:
Open House (Free Pizza & Soda)
WHEN:
11 a.m - 2 p.m., July 12, 2017
WHERE:
400 Dirac Science Library

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Bystricky and Quaife attend Epstein Greengard Workshop

Grad student Lukas Bystricky presented a poster on his research entitled, “Modeling 2D Rigid Body Motion Using Boundary Integral Equations,” at a workshop held June 9 – 10, 2017 at Yale University. Bystricky’s research investigates modeling the motion of suspended rigid particles in confined and unconfined domains to help understand how macroscopic properties of suspensions can be aided by a detailed understanding of the motion of suspended particles. SC Assistant Professor Bryan Quaife was also in attendance at the workshop.

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Cheung and Creswell take SIAM-SEAS awards

SC doctoral students James Cheung and Evan Cresswell are winners of the 2017 SIAM-SEAS awards for best graduate oral presentation and graduate poster presentation. Based on his paper entitled Boundary Condition Approximation for Lagrange Finite Elements by Polynomial Extension, Cheung’s award for best oral presentation recognizes effective presentations delivered by impactful, confident and engaging speakers. Cresswell’s award for best graduate poster presentation was for his research, Computational Model for Local Calcium Dynamics in Astrocytes.

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Lemmon wins Developing Scholar Award

Alan Lemmon, Scientific Computing Associate Professor, has been awarded the university’s Developing Scholar Award by the Council on Research and Creativity. The award is based on Lemmon’s strong cumulative record of achievements in scholarship, teaching and service. Of particular note is his research in phylogenetics and his methods to lower the costs of genome sequencing.

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Grad student presents at SPIE conference

SC doctoral student Amirhessam Tahmassebi presented three papers at the SPIE conference in Anaheim, California on April 9-13, 2017. Tahmassebi works with Professor Anke Meyer-Baese and is studying data mining and medical imagining. He has extensive research and programming experience in data science, scientific computing, data mining, medical imaging, machine learning, predictive modeling, statistical analysis, and data visualization. Tahmassebi’s paper titles and abstracts appear below; he is preparing himself for a career as a data scientist.

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