|Date||February 7, 2014||Time||2:30 - 3:30 pm|
Title: Multi-scale Multi-Platform Remote Sensing, BigData and Machine Learning for Societal Benefit
Abstract: We are at the dawn of a new era of discovery. Unprecedented amounts of data in multiple areas are becoming available and being archived. The data comes from a vast array of sources from Remote Sensing & Aerial vehicles, to wearable sensors, business analytics, news feeds, social media and everything in between. The ultimate goals of gathering these data sets are improved insights and objective data driven decisions. However, a very real obstacle to realizing this goal is the existence of data silos. Health care is a case in point. One set of silos is the massive amounts of Electronic Health Records (EHR) being collected in a variety of systems, not all of which are interoperable. Another set of silos contains the ever-increasing volumes of bioinformatics. Yet another set of silos is the environmental context. With environmental context coming from a wide variety of sources from socio-economic and demographic sources such as the census, to meteorological analyses, to remote sensing from multiple satellites, to environmental station networks, to aerial vehicles and the exciting new area of wearable sensors.A set of case studies with societal benefit will be presented.
David then held post-doctoral research assistant and associate positions at Cambridge University until receiving a Royal Society University Research Fellowship in 1996 (also at Cambridge). A Royal Society University Fellowship is one of the most prestigious awards for young scientists in the UK. The Royal Society is the world’s oldest scientific academy in continuous existence, and has been at the forefront of enquiry and discovery since its foundation in 1660.
In 1998 David was awarded an Alon Fellowship and appointed as a Senior Lecturer at the University of Tel-Aviv, Department of Geophysics and Planetary Space Science. An Alon Fellowship is the highest award Israel can give a young scientist. While there, David gave courses in atmospheric chemistry and climate. This was a joint appointment with Cambridge.
In 2000 the chief scientific adviser to the British Prime Minister and Head of the British Office of Science and Technology, Professor Sir David King, recommended David to be appointed as a Cambridge University lecturer in Chemical Informatics.
In 2001 David joined NASA and UMBC/GEST as the first distinguished Goddard fellow in earth science. His automatic code generation software, AutoChem, has received five NASA awards and was recommended for the NASA Software of the Year Award. David stayed at NASA until 2010 and was involved with: Validation of the NASA Aura satellite using probability distribution functions and chemical data assimilation. Using machine learning for accelerating atmospheric models. The use of Earth Observing data for health and policy applications. The optimal design of Earth Observing Systems. His work in this area was selected as one of the NASA Aura mission highlights. David served on the NASA GSFC Science Directors advisory Council. While at NASA David received six NASA awards for his research.
In 2010 David joined the Hanson Center for Space Science at the University of Texas at Dallas where he has focused on remote sensing in service of society using satellites, remote control aerial vehicles and machine learning. He is also adjunct professor in the University of Texas at Dallas Department of Electrical Engineering, Baylor University, Center for Astrophysics, Space Physics & Engineering Research, and the School of Public Health, Univeristy of North Texas Health Science Center. David is also a Scholar of The Institute for Integrative Health and working group Co- Chair of the International Society for Photogrammetry and Remote Sensing (ISPRS) Working Group on Health. Bio
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