Science Seminar

Smart Cities: Machine Learning and Sensors in Service of Society

Cities, communities and industries are entering a new era of transformational change, in which their inhabitants and the surrounding built and natural environments are increasingly connected by smart technologies. In this talk we will showcase a variety of applications using a holistic approach utilizing machine learning, distributed sensors, remote sensing, robotic vehicle teams, and IoT for smart and resilient cities and infrastructure where we have data driven decisions and data driven policy for preemptive human protection and to improve the quality of life in a sustainable manner.

Prof. David Lary received a First Class Double Honors B.Sc. in Physics and Chemistry from King’s College London with the Sambrooke Exhibition Prize in Natural Science, and a Ph.D. in Photochemical Computer Modeling of Atmospheric Chemistry from the University of Cambridge, Churchill College. The thread running through all the research is sensing in service of society through the use of data driven insights using observation and automation to facilitate discovery, with a focus in the area of human health and the health of infrastructure. A key part of this is the analysis of massive data sets (BigData) using machine learning and high performance computing, and IoT devices for smart decision making. David held positions at Cambridge University, including being a faculty member and receiving a Royal Society University Research Fellowship. David was awarded the first Alon Fellowship in the Department of Geophysics and Planetary Space Science at the University of Tel-Aviv. 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 the world’s first department of Chemical Informatics. In 2001 David was invited to join NASA for his work on data assimilation as the first distinguished Goddard fellow in Earth Science and stayed at NASA till 2010, receiving six NASA awards for his research and technology development. While at NASA he worked in several offices including the Data Assimilation Office (now the Global Modeling and Assimilation Office), the Atmospheric Chemistry and Dynamics Branch, the Science Integration and Visualization Office, and the NASA Goddard Earth Sciences Data and Information Services Center. In 2010 David joined the Hanson Center for Space Science at the University of Texas at Dallas where he has focused on Big Data and Machine Learning from remote sensing in service of society using satellites, smart cities, the internet of things, remote control aerial vehicles and machine learning. In 2018 David was appointed a United States Special Operations Command Fellow at SOFWERX by J5, the Futures Mission Directorate of USSOCOM.