Designing and managing complex engineering projects over their life cycles.
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Using the newly introduced idea of a sensor lattice, this project conducts a systematic study of the "granularity" at which the world can be sensed and how that affects the ability to accomplish common tasks with cyberphysical systems (CPSs). A sensor is viewed as a device that partitions the physical world states into measurement-invariant equivalence classes, and the sensor lattice indicates how all sensors are related.
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The collaborative NSF grant IIS-1035917 "Dynamic Routing and Robotic Coordination for Oceanographic Adaptive Sampling" aims to design innovative routing, planning and coordination strategies for robot networks, and their application to oceanography.
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The objective of this research is to develop methods for the operation and design of cyber physical systems in general, and energy efficient buildings in particular. The approach is to use an integrated framework: create models of complex systems from data; then design the associated sensing-communication-computation-control system; and finally create distributed estimation and control algorithms, along with execution platforms to implement these algorithms.
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Project Description
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In the coming decade, microfluidic biochips, or labs--on--a--chip (LoCs), will automate and miniaturize repetitive laboratory experiments that are today performed by humans in domains such as enzymatic, proteomic, and DNA analysis, drug discovery, biomolecular recognition, molecular imaging, toxicity monitoring, and clinical diagnostics.
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Intensity modulated radiation therapy (IMRT) requires tight coordination between computational systems and the physical devices that deliver the prescribed treatment plan, making it a perfect example of cyber-physical system. The current approach to addressing tumor motion in radiation therapy is to treat it as a problem and not as a therapeutic opportunity. Existing treatment planning methods attempt to create dose distributions that are at best dosimetrically equivalent to the static case.
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This project is developing methods for human context awareness in smart buildings, aging-in-place, smart authorization, and emergency response. We enable this using inference using radio frequency (RF) sensing networks, in which channel measurements are made by deployed wireless networking devices. In RF sensing networks, the network is the sensor. We are developing methods to learn human context for smart facilities and elder care, including:
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An important area of cyber-physical systems research is the development of smart ground transportation systems due to their potentially significant impact on safety, the economy, and the environment. While technologies for smart transportation systems have advanced significantly over the last decade, there remain several challenges for the development of transportation systems that are collision free.
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This project addresses the management of the air traffic system, a cyber-physical sys- tem where the need for a tight connection between the computational algorithms and the physical system is critical to safe, reliable and efficient performance. Indeed, the lack of this tight connection is one of the reasons current systems are overwhelmed by the ever increasing traffic and suffer when there is any deviation from the expected (e.g., changing weather).
