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.
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\”.
BuildSys is an ideal venue for researchers and practitioners working to develop and optimize such smart infrastructure systems that are driven by networked sensing, computing, and control functions.
Built environments and critical urban infrastructures, account for over half of society’s energy consumption and are the mainstay of our nation’s economy, security and health. Advances in the effective integration of networked sensors, building controls, and physical infrastructure are transforming our society. In the information age, unprecedented research of cyber physical infrastructures includes: the acquisition, integration, and analysis of big and heterogeneous data such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g., air pollution, increased energy consumption and traffic congestion.
Systems optimization, data analysis and modeling applied to the built environment are particularly important in improving our society, e.g., by increasing its sustainability and enhancing people’s quality-of-life. These systems represent the foundation for emerging “smart cities”.
The 7th ACM International Conference on Systems for Built Environments (BuildSys 2020) will be held November 16-19, 2020, Yokohama, Japan. This year at least five best papers in the ACM BuildSys proceedings will be selected into the ACM Transactions on Sensor Networks with minor revision, upon authors\’ agreement. And the three best short papers will be included in the IEEE Embedded Systems Letters, also upon authors\’ agreement.
BuildSys is the premier conference for researchers and practitioners working to develop and optimize smart infrastructure systems that are driven by sophisticated sensing, computing, and control functions. We invite original contributions including, but not limited to the following:
Applications in smart and connected communities;
Sensing and control for urban infrastructure systems;
Novel sensor methodologies, techniques, and tools;
Sensing and control of electrical, gas, and water loads;
Improved user interfaces to built infrastructure;
Modeling, simulation, optimization, and control of heating, cooling, lighting, ventilation, water usage and other resource flows in built environments;
Sensor systems and applications that enhance energy efficiency, energy reliability, durability and comfort;
Systems that integrate infrastructure with the smart grid to offer demand response and ancillary services;
Distributed generation, alternative energy, renewable sources, and energy storage in buildings;
Emerging standards for data collection, energy control, or interoperability of disparate devices or systems;
Sensing, modeling, and predicting the urban heartbeat including sounds, movements, and radio spectrum;
Human in the loop sensing and control for efficient usage of electricity, gas, heating, water;
Sensor systems for reliable occupancy counting;
Long-lived and energy harvesting sensor systems;
Scalable indoor localization and contextual computing;
Security, privacy, safety, and reliability in built systems;
Empirical studies of city-scale wireless communications;
Vehicle technologies and Traffic.