Series
South Big Data Innovation Hub Workshops

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https://hdl.handle.net/1853/70968
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Event Series
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Now showing 1 - 10 of 12
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Energy in the Information Age

2016-09-06 , Lieuwen, Timothy C.

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OEM Oriented: Asset Management

2016-09-06 , Jones, Randy , Patanian, John

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Energy Transmission Panel

2016-09-06 , Bray, Elizabeth , Lin, Jeremey , Gebraeel, Nagi

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Data Infrastructure for Materials and Advanced Manufacturing Workshop : Welcome Address

2016-08-25 , Aluru, Srinivas , McDowell, David L. , Rawlings-Goss, Renata

The goal of this workshop is assess and deliberate on the current state of the data infrastructure supporting the accelerated insertion of new and advanced materials into commercial products. For this purpose, we have attempted to convene diverse stakeholders involved in this emerging f1eld, including industry, academia, national laboratories, and nonprofits, whose expertise cuts across several traditional disciplines such as materials science and engineering, design and manufacturing sciences, and computer and data sciences. Speakers have been specifically selected to share their perspective on high-impact applications or challenges surrounding the use of Data Science and Informatics in the Materials and Advanced Manufacturing space. Attendees will come from academic research institutions across the 16 states that comprise the South Big Data Innovation Hub. Participants will engage in active scoping and round-table discussions in order to build partnerships across high-impact application verticals.

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Big Data Analytics in Energy

2016-09-06 , Gebraeel, Nagi

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Applications of Analytics and Machine Learning in Energy Industry-Academia Workshop : Welcome and Overview

2016-09-06 , Rawlings-Goss, Renata

The goal is to connect industry partners with academic researchers in the domains of Energy: Power, Smart Grid, etc as well as Big Data and Data Science. Speakers will be specifically selected to share their perspective on high-impact applications or challenges surrounding the use of data science, analytics, informatics, and machine learning in the Energy space. Attendees will come from academic research institutions across the 16 states that comprise the South Big Data Innovation Hub and industrial partners across the country. Participants will engage in active scoping and round-table discussions in order to build partnerships across highimpact application verticals.

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Consumer and Market Analysis: Analytics of Metering Data

2016-09-06 , Futrell, Preston , Gilbert, Joel , Ockwell, Gary , Tripathy, Prad , Malme, Ross

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Machine Learning and Anomaly Detection

2016-09-06 , Xie, Yao

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Upstream Technologies in the Information Age

2016-09-06 , AIRegib, Ghassan , Sidahmed, Mohamed

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Energy and Data Science Academia Talks

2016-09-06 , Chau, Duen Horng , Qiu, Judy

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