Research Topic: IoT/CPS Data Analytics and Zero-Trust
Ph.D. research assistantship, postdoc and student visitor position are available in the research area of IoT/CPS data analytics (including signal processing and artificial intelligence) and zero-trust designs. The selected candidate will join us to create innovative online data analytics methodologies and zero-trust designs for health and security monitoring applications. The lab currently focuses on three projects: (1) cyber-physical security monitoring by auditing the cyber and electrical signals in electrical infrastructure and manufacturing systems; (2) human and animal health and safety health (especially vital signs) and activity monitoring via contactless sensing. (3) decentralized zero-trust IoT data fabric based on web 3.0.
About the lab and faculty advisor:
The sensorweb lab focuses on intelligent sensing, computing, networking and security technologies, with clear vision on “Connecting the Dots for Intelligence”. The lab currently has 6 PhD and 2 MS students, and its faculty advisor Dr. WenZhan Song is the Endowed Chair Professor of Computer Engineering and Founding Director of Center for Cyber-Physical Systems. He is a leading expert on IoT/CPS sensor analytics & security and received numerous important honors and awards, including NSF CAREER award 2010, Mark Weiser Best Paper Award 2020, and multiple Research Excellence awards. He works closely with government and industry partners on technology innovation and commercialization.
Relevant Publications:
- Song, et al. “Helena: Real-time contact-free monitoring of sleep activities and events around the bed.” 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2020. (Best Paper Award)
- Song, et al. “Online distributed IoT security monitoring with multidimensional streaming big data.” IEEE internet of things journal 7.5 (2019): 4387-4394.
- Song, et al. Enhanced Cyber-physical Security in Internet of Things through Energy Auditing, IEEE Internet of Things Journal, 2019.
Desired Background and Expertise:
Prospective students with background in computer science and engineering are encouraged to apply. Previous research experience in areas related to IoT, artificial intelligence, blockchain and distributed systems is preferred. Awards, high GPA and strong references letters will boost chances.
Application Procedure:
BS/MS students must apply to the Ph.D. in Engineering (Electrical and Computer Engineering Emphasis) in the college of engineering. More information about the application procedure, eligibility requirements, deadlines and assistantships can be found at the graduate admission website.
Please start an inquiry by emailing your CV to Prof. Song at wsong@uga.edu.
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