Events Archive

Big Data Seminar November 6, 2017

Monday, November 6, 2017 - 12:10pm

Speaker: Chinmay Hegde

Abstract:

The availability of (relatively) cheap computing, communication, and data storage devices has led to an exponential increase in the number of features (or the dimensionality) in the data encountered in numerous scientific applications. Unfortunately, this also means that traditional statistical methods used to visualize and find patterns in data are no longer easily applicable. This phenomenon is sometimes called the "curse of dimensionality".

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ISU/MBDH Big Data Seminar: Big Data on Campus and Across the Hub Network

Monday, May 1, 2017 - 12:10pm

Title: Big Data on Campus and Across the Hub Network 

Abstract: The focus of this seminar session will be on what is happening in big data on campus, and throughout the US through the NSF-funded regional data hubs. 

Presenters:

Melissa Cragin, Executive Director of the Midwest Big Data Hub

Erin Mullenix, Director of Data Driven Science, Iowa State University Read more about ISU/MBDH Big Data Seminar: Big Data on Campus and Across the Hub Network

ISU/MBDH Big Data Seminar: Engineering Next-Generation Data Systems for Secure, Smart, Connected Health Analytics

Monday, February 6, 2017 - 12:00pm

Presenter: Eric Rozier, Assistant Professor of Computer Science

Abstract: Enabled by the broad availability of small-scale, inexpensive, and often commercial off-the-shelf available sensors a new field is developing around Smart and Connected Health. Fusing research from embedded systems, data science and engineering, and cybersecurity, new opportunities are developing for human augmentation. In this talk we will discuss recent work from the Trustworthy Data Engineering Lab towards building flexible, intelligent, software and hardware infrastructure to improve the ability of individuals, physicians, and scientists to understand individualized health data. Read more about ISU/MBDH Big Data Seminar: Engineering Next-Generation Data Systems for Secure, Smart, Connected Health Analytics