PI Timothy C. Havens (ECE) and Co-PIs Laura Elizabeth Brown (CS), Saeid Nooshabadi (ECE) and Allan Struthers (Math), “BIGDATA: F: DKA: Heterogeneous Algorithms for Media Mining in Big Data Using Massively-Parallel Architectures,” National Science Foundation.
Michigan Tech is home to a supercomputer known as “Superior” and this computer is used for a variety of projects by research faculty right here in the Department of Computer Science: Laura Brown, Towards a reliable method for comparing large scale machine learning algorithms Ali Ebnenasir, Computational synthesis of self-stabilizing protocols Chaoli Wang, High-performance parallel . . .
The Graduate School is pleased to announce that the following students have earned: Jun Ma, PhD candidate in computer science Evgeniy Kulakov, PhD candidate in geology Colin Gurganus, PhD candidate in atmospheric sciences Suntara Fueangfung, PhD candidate in chemistry Fang Chen, PhD candidate in electrical engineering Xiaohui Wang, PhD candidate in electrical engineering Jennifer Riehl, . . .
It’s a mass of computer-programming brainpower. Teams from Africa, the Middle East, Europe, Asia, Latin America, and the South Pacific will be joined by North American contingents, including our Michigan Tech team. How big is it? It began last fall with over thirty thousand students from more than 2,300 universities and 91 countries. Regional qualifying . . .
NerdScholar, a financial literacy website for students, has named Michigan Tech’s software engineering programs in the Department of Computer Science the “most engaging” in the nation. Six schools were singled out in categories that include most engaging, most balanced, most variety, most innovative, most interdisciplinary and most real-world experience. The website highlights Tech’s Enterprise and . . .
Dr. Chaoli Wang, Associate Professor of Computer Science, has received a prestigious CAREER award from the National Science Foundation. This award will provide $489,245 of support over five years for his project titled “Effective Analysis, Exploration, and Visualization of Big Flow Data to Understand Dynamic Flows”. The goal of this CAREER project is to pioneer . . .