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Manjula Ambur
Lead, Data Analytics and Machine Intelligence Team/CDT,                       Chief Knowledge Officer
manjula.y.ambur@nasa.gov

Jeremy Yagle
AST, Data Analyst/CDT
jeremy.j.yagle@nasa.gov

Harla Sherwood
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Bianca Clark
Communications Coordinator
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NASA Langley Machine Learning 2016

 

NASA LANGLEY RESEARCH CENTER: CDT – BIG DATA ANALYTICS AND MACHINE INTELLIGENCE TEAM HOSTING

Machine Learning Technologies and Their Applications to Scientific and Engineering Domains Workshop

August 16-18, 2016
Pearl Young and Reid 1
Morning session: 9 AM – Noon
Afternoon session: 1 PM – 4 PM
 

Learn and stay abreast of state-of-the-art technologies and their applications — NASA Langley Machine Learning Technologies and their Applications for Scientific and Engineering Domains Workshop. The workshop provided a forum for scientists and engineers to learn from experts across academia and industry on advances in machine learning techniques and cognitive technologies, and their applications to NASA domains such as computational aerosciences, computational materials and structures, next generation airspace, autonomy, aerospace systems analysis and design, and climate science. Participation in this workshop helped to further develop the important work NASA Langley is doing in this area through investigating and applying emerging technologies in data analytics and machine learning to address NASA’s technical challenges.

The workshop was organized and hosted by the Big Data Analytics and Machine Intelligence capability team that is part of NASA Langley’s Comprehensive Digital Transformation (CDT) initiative. CDT serves as a catalyst to create an integrated digital capability by leveraging and synergistically combining state-of-the-art advancements in modeling and simulation, high performance computing, big data analytics and machine intelligence, and IT infrastructure. NIA is assisting with logistics and coordination of the workshop.

Thank you for your participation and attendance at the NASA LaRC Machine Learning Workshop! 

Speakers’ Topics and Presentations below – Click a Speaker’s name for Bio/Abstract. Click a presentation title to download.

DAY ONE

 

DAY TWO

 

DAY THREE

  • Dr.Vipin Kumar, University of Minnesota, Computer Science Dept.- Big Data in Climate: Opportunities and Challenges for Machine Learning and Data Mining

 

 

 

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