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Deepak Kulkarni: "Models of Weather Impact on Airspace Operations."

Abstract: Flight delays have been a serious problem in the national airspace system costing about $30B per year. About 70% of the delays are attributed to weather and up to two thirds of these are avoidable. Better decision support tools would reduce these delays and improve air traffic management tools. Such tools would benefit from models of weather impacts on the airspace operations. 

Our work has been focused on use of machine learning methods to mine various types of weather and traffic data to develop such models. This talk will describe different types of weather impact models we have developed over the years.

Bio: Dr. Deepak Kulkarni is a senior computer scientist in the Information Sharing and Integration Group in the Intelligent Systems Division at NASA Ames Research Center. Since 1996, Deepak has managed NASA research and development projects in the areas of data mining, health monitoring systems, and collaborative systems. He has been the principal investigator on several long-term projects with successful NASA deployments in engineering and aviation domains. His contributions have been recognized with several NASA Honor and Group Achievement Awards, as well as awards honoring specific work. He has been a member of the editorial board of International Journal of Operations Research and Information Systems since 2010. In 2013, Society of Automotive Engineers (SAE) International recognized his work with an Arch T. Colwell Merit Award. In his spare time, Deepak is also involved in educational outreach activities, including coaching students for national math competitions such as the Math Olympiads.

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