Session 5

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Visible to the public Threat-Assessment Tools for Management-Coupled Cyber-and Physical Infrastructure

Abstract: Wide-area management of terrestrial scale infrastructures often involves human operators, who are sandwiched between physical-world systems and cyber- assets. These Management Coupled Cyber- Physical Infrastructures (MCCPIs) are subject to diverse threats that can propagate across network elements. In this research effort, a layered network modeling paradigm for MCCPIs is developed, and threats to cyber, physical, and human assets are modeled at several resolutions.

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Visible to the public Executable Distributed Medical Best Practice Guidance (EMBG) System for End-to-End Emergency Care From Rural to Regional Center

Abstract: The project is to develop an Executable Medical Best Practice Guidance (EMBG) system for acute medical care such as sepsis and strokes. EMBG assists the adherence to medical best practice across a hospital network, consists of rural hospitals, regional center hospital and ambulance service to transfer serious ill patients from rural to central hospital. The hospital partners now include Carle Foundation Hospital and Oregon Health and Science University (OHSU) School of Medicine.

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Visible to the public Smart Calibration Through Deep Learning for High-Confidence and Interoperable Cyber-Physical Additive Manufacturing Systems

Qiang Huang received his Ph.D. degree in Industrial and Operations Engineering from the University of Michigan-Ann Arbor. He is currently an Associate Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California (USC), Los Angeles. His research interests include Integrated Nanomanufacturing & Nanoinformatics; Foundations of Quality Control for Additive Manufacturing, and Effect Equivalence Methodology for Modeling, Inference, Transfer Learning, and Control. He was the holder of Gordon S.

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Visible to the public MRI Powered and Guided Tetherless Effectors for Localized Therapeutic Interventions

Aaron Becker's passion is robotics and control. Currently as an Assistant Professor in Electrical and Computer Engineering at the University of Houston, he is building a robotics lab. Aaron was awarded the NSF CAREER in 2016 to study massive manipulation with swarms: using a shared input to drive large populations of robots to arbitrary goal states. Becker won the Best Paper award at IROS 2014.