Overview
Seminar in Cyber-Physical Systems
Instructor: Prof. Xiaofan Jiang
Time: Thursdays 1:50PM-3:40PM
Location: Fairchild 601B
Class ID: ELEN 9705 E sec. 001 / Call #: 97297
Description:
As computers and communication bandwidth become ever-faster and ever-cheaper, computing and communication capabilities will be embedded in all types of objects and structures in the physical environment. Applications with enormous societal impact and economic benefit will be created by harnessing these capabilities in time and across space. We refer to systems that bridge the cyber-world of computing and communications with the physical world as cyber-physical systems (CPS). This seminar covers important papers from the research literature on CPS. Several application domains are emphasized: smart cities and the built environment, fitness and health care, air quality and environment. Several key cross-cutting topics, independent of the application domain, are also covered, including time-series data analytics, energy and power, scalability, and wireless networking.
Objectives:
One objective is to learn the current state of art in Cyber-Physical Systems research, including its various application domains. A second objective is to learn details regarding several necessary principles required for future CPS. A third objective is improving critical reading, presentation, and research skills. Finally, this seminar course aims to foster new ideas and help students develop new projects that lead to publications in CPS related conferences and startups.
Prerequisites:
PhD and MS students with interest in systems research and data science.
Performance assessment:
Performance is assessed based on one or more oral presentations and project ideas development. Students’ attendance to most seminar sessions as well as active participation in the discussions is expected and will be considered for the final grading.
Acknowledgement:
Special thanks to Prof. John A. Stankovic and Prof. Tamer Nadeem for course materials
Course Website:
https://edblogs.columbia.edu/elene9705-001-2018-1/
Contact:
Prof. Xiaofan (Fred) Jiang <jiang@ee.columbia.edu>
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