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Biography

Deepak Shyamkant Kulkarni, Ph.D. is a senior research computer scientist within the Intelligent Systems Division at NASA Ames Research Center. For over 15 years, Dr. Kulkarni has managed NASA research and development projects in the areas of data mining, diagnostic 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 by several NASA awards including a NASA Ames Honor Award for contributions to Travelling Space Musuem Project (2010), NASA Honor Award for ADIS work (2005), NASA Group Achievement Award for Exploration Systems work (2005), Space Act Award for ADIS work (2004), NASA Tech Briefs Award (2004), Semantic Organizer Space Act Award (2003), Ames Group Achievement Awards (1998, 1999). He is on the editorial board of International Journal of Operations Research and Information Systems. SAE recognized his work with Arch T. Colwell Merit Award in 2013. Deepak Kulkarni is also involved in coaching students for math competitions including Math Kangaroo and MOEMS. and maintains Creative Math website. Some of his projects are listed below.

Aviation Data Integration System : Many airlines routinely review flight data and seek voluntary safety reports to identify anomalous events and ways to improve flight safety. These events may pinpoint potential problems in flight operations that could grow to cause an accident. Apart from human performance and mechanical factors, environmental conditions contribute to understanding what happened. Knowing the weather allows safety analysts to determine whether an event needs more detailed study. Aviation Data Integration System (ADIS) isa Web-based archive that integrates environmental data from more than 100 airports, giving flight safety analysts access to weather data previously unavailable to them.

Models of Impact of Weather on Aviation Delays : This work models relating national delay, center level delays and weather. The methodology used traffic data during the spring and summer over a three-year period in the United States. The results indicate: (a) the method for estimating the delay at the national level can be extended to estimate delay at the regional level, (b) the estimation of national delay as the sum of regional delays produces a national delay estimate of comparable accuracy, while providing insights into differential impacts of regional weather on delays, and (c) the national delay can be estimated accurately by observing the behavior of 5 or 6 prominent centers.

KEKADA : Deepak Kulkarni developed KEKADA discovery system as a part of his doctorate thesis. KEKADA is constructed to simulate the sequence of experiments carried out by Hans Krebs and his colleague, Kurt Henseleit, between July 1931 and April 1932, which produced the elucidation of the chemical pathways for synthesis of urea in the liver. This discovery of the ornithine cycle was the first demonstration of the existence of a cycle in the metabolic biochemistry. Simon and Kulkarni's source for this episode is "Hans Krebs and the Discovery of the Ornithine Cycle" in Federation Proceedings (1980) by Frederic L. Holmes of Yale University. Holmes also made himself available to Simon and Kulkarni for consultation in 1986 when their study was in progress. The organization of KEKADA is based on a two-space model of learning.

PUBLICATIONS

Online Articles I have authored

Websites I recommend on NASA K-12 Math Education

Contact

Deepak S. Kulkarni

Intelligent Systems Division
Ames Research Center
Mail Stop 269-2
Moffett Field, CA 94035

Phone: 650-604-4869
Fax: 650-604-3594

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