11:00 AM - 12:00 PM
Kenneth William Tobin, Electrical and Electronics Systems Research Division, ORNL Urban Dynamics Institute Seminar
Building 4500-N, Weinberg Auditorium
Email: Beata TaylorPhone:
The idea of the city-as-a-system builds on concepts such as the smart grid, urban computing, and the real-time city. There are a number of modern cities springing up around the world today that apply these concepts from the bottom up to create what are being referred to as "cyborgs." Songdo in South Korea, Masdar City in the United Arab Emirates, and the proposed Great City in China, are being planned for efficiency and wired to provide data and services to manage energy, transportation, and infrastructure development. The underpinning science and technology that is making the city system a reality is the Internet of Things (IoT). The IoT is comprised of many different technologies that reach into the real world to tie together physical objects and data. These technologies include high-speed, low-cost electronics, wireless communications, real-time GPS, and a wide array of sensors and sensor networks integrated into the World Wide Web through ubiquitous mobile communications. The IoT will likely be the most disruptive technology revolution of our lifetime, with 50 to 100 billion connections to the Internet expected by 2020. This seminar will address the history of science and technology that has resulted in the IoT along with a brief review of ORNL research that is impacting this rapidly expanding field. The intersection of Urban Dynamics and the IoT will be discussed as it relates to the confluence of organic growth and data-driven analytics to realize efficient planning for the city system. This integration of planned and organic growth requires the retention, accessibility, and veracity of highly reliable device data to design, construct, and operate smart city infrastructure and services. Areas that need to be adequately addressed at the sensor and communications level include the creation of trustworthy and secure data environments (e.g., to support data analytics), and facilitating the development of user tools and analytics by creating a generalized connected object space (i.e., not goal-driven or preconfigured) for working with sensors and data.
About the Speaker:
Dr. Kenneth W. Tobin is the Director of the Electrical and Electronics Systems Research (EESR) Division at ORNL. EESR performs research in areas of electronic devices and machines, high-performance embedded computing, sensors and signal processing, robust wireless communications, and the integration of these technologies into unique systems and instruments that address challenging measurement and controls problems. His personal research focused on computational imaging incorporating photonics, neutronics, x-ray, SEM, and microscopy into machine learning environments. Dr. Tobin is an ORNL Corporate Research Fellow, a Fellow of the IEEE, and a Fellow of SPIE, where he is an associate editor for the SPIE Journal of Electronic Imaging. Dr. Tobin has a Ph.D. in Nuclear Engineering from the University of Virginia, an M.S. in Nuclear Engineering and a B.S. in Physics from Virginia Tech.