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Nikunj Oza Gives Invited Talk at Machine Learning and Data Analytics Symposiumin Doha, Qatar
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Nikunj Oza Gives Invited Talk at Machine Learning and Data Analytics Symposiumin Doha, Qatar

Nikunj Oza gave an invited talk at the Machine Learning and Data Analytics Symposium (MLDAS) held in Doha, Qatar, on March 2-4, 2014. The Symposium was sponsored by Boeing and the Qatar Computing Research Institute (QCRI). The Symposium consisted of talks given by several invited speakers from academia, research labs, and industry, as well as a poster session with contributions from QCRI students and professionals. Dr. Oza presented an overview of algorithms developed by the System-wide Safety and Assurance Technologies (SSAT) Discovery of Precursors to Safety Incidents (DPSI) team, and on the operationally significant anomalies on commercial flight-recorded data and aircraft trajectory data that the algorithms detected.

BACKGROUND: The Machine Learning and Data Analytics Symposium (MLDAS) brings together researchers, practitioners, students, and industry experts in the fields of machine learning, data mining, and related areas to present recent advances, discuss open research questions, and to help bridge the gap between data analytics research and industry needs on particular concrete problems. MLDAS serves as a platform for the exchange of ideas, identification of important and challenging applications, and discovery of possible synergies: http://www.mldas.org

COLLABORATORS: The Avionics Test and Analysis Corporation (ATAC) and the System-wide Safety and Assurance Technologies (SSAT) Discovery of Precursors to Safety Incidents (DPSI) team: Kamalika Das, Vijay Janakiraman, Rodney Martin, Bryan Matthews, David Nielsen, John Stutz, and Hamed Valizadegan

NASA PROGRAM FUNDING: System-wide Safety Assurance Technologies (SSAT) project, Aviation Safety Program (ASP), Aeronautics Research Mission Directorate (ARMD)

Contact: Nikunj Oza

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