PhD student Jingxiao Liu, studying with CEE Prof. Haeyoung Noh, won an award based on his PhD project on indirect bridge health monitoring using drive-by vehicles, supported by Leavell fellowship. The joint ACM BuildSys 2020 and SenSys 2020 conferenced were co-located in Yokohama, Japan and held November 19-20, 2020.
The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020) introduces a highly selective, single-track forum for research on systems issues of sensors and sensor-enabled smart systems, broadly defined. Systems of smart sensors will revolutionize a wide array of application areas by providing an unprecedented density and fidelity of instrumentation. They also present various systems challenges because of resource constraints, uncertainty, irregularity, mobility, and scale. This conference provides an ideal venue to address research challenges facing the design, development, deployment, use, and fundamental limits of these systems. Sensing systems require contributions from many fields, from wireless communication and networking, embedded systems and hardware, energy harvesting and management, distributed systems and algorithms, data management, and applications, so we welcome cross-disciplinary work.
The 7th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2020) will host a highly selective, single-track forum for research on systems issues covering all aspects of the built environment, broadly defined.
http://sensys.acm.org/2020/program/award.html
Advances in the effective integration of networked sensors, building controls, and physical infrastructure are transforming our society, allowing the formation of unprecedented built environments and interlocking physical, social, cyber challenges. Moreover, built environments, including buildings and critical urban infrastructure, account for over half of societys energy consumption and are the mainstay of our nation’s economy, security and health. As a result, there is a broad recognition that systems optimizing explicitly for the built environment are particularly important in improving our society, and represent the foundation for emerging "smart cities".
