2018

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Visible to the public Computer-aided Clinical Trials for Medical Devices Robustness - Evaluation

Computer modeling and simulation for medical device evaluation has been pursued as a means for reducing the cost and scope of clinical trials while minimizing the risk of unforeseen adverse outcomes. Advances in computational technologies and algorithms have further enabled analysis with complex and realistic Bayesian models to be applied to clinical trials.

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Visible to the public Cognitive Green Building- A Holistic Cyber-Physical Analytic Paradigm for Energy Sustainability

This research project aims to develop a comprehensive analytical foundation for designing green buildings. In particular, the PIs focused on three interrelated thrust areas: (i) Integrated energy management for a single-building, where the goal is to jointly consider the complex interactions among building subsystems. The PIs developed novel control schemes that opportunistically exploit the energy demand elasticity of the building subsystems and adapt to occupancy patterns, human comfort zones, and ambient environments.

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Visible to the public Communication and Security in Cyber-Physical Systems

This poster elaborates the results of two papers: "Event-triggered stabilization over digital channels of linear systems with disturbances," and "Authentication of cyber-physical systems under learning-based attacks."

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Visible to the public CNC Process Plan Simulation, Automation and Optimization

Abstract: Machining is a fundamental processing capability critical to production of end-user goods and systems, as well as components used in virtually every industrial process. Machine tool programming to support these processes is critical for production and cost estimation. Unfortunately, currently available automated process planning methods constrain the process along geometrically simple trajectories due to computational constraints, this at the sacrifice of final processing efficiency.

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Visible to the public Closed-Loop Sustainable Precision Animal Agriculture

Overview: Current animal farming practice relies on discrete individual sensors to monitor animal health and farm efficiency, however, no cyber-physical systems (CPS) or closed-loop methodologies exist to monitor and control the efficiency of individual animals within a herd or the entire herd in real-time. We believe this limits the production efficiency and opens the possibility of accidental health hazards.

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Visible to the public Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace

Abstract: Airborne networking utilizes direct flight-to-to-flight communication for flexible information sharing, safe maneuvering, and coordination of time-critical missions. It is challenging because of the high mobility, stringent safety requirements, and uncertain airspace environment. This project uses a co-design approach that exploits the mutual benefits of networking and decentralized mobility control in an uncertain heterogeneous environment.

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Visible to the public Certifiable, Attack-Resilient Submodular Control Framework for Smart Grid Stability

Large-scale Cyber-Physical Systems (CPS) must be resilient to natural disturbances and malicious attacks in a timely fashion with certifiable guarantees on safety and stability. These requirements must be satisfied even when the system occupies a large geographical area in which multiple disturbances or attacks may occur simultaneously.

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Visible to the public Case Study of Building Machine Learning for Cyber-Physical Systems

Cyber-physical Systems (CPS) integrate computing, network communication, and control to facilitate smart-world systems. Nonetheless, the interconnection of sensing and actuating devices in the Internet of Things (IoT) creates new uncertainties and countermeasures must be developed. Deep Learning is an emerging tool with the power to conduct data analysis to address uncertainties.