Research Topic: Sensor Data Artificial Intelligence and Zero-Trust Data Fabric
Ph.D. research assistantship, postdoc and student visitor position are available in the research area of sensor data artificial intelligence (including advanced signal processing, machine learning and deep learning) and zero-trust data fabric designs. The selected candidate will join us to create innovative sensor data analytics methodologies and zero-trust data fabric designs for health and security monitoring applications. The lab currently focuses on three research topics: (1) cyber-physical security and health monitoring of electrical machines and networks; (2) health and activity monitoring of human and animal 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.
- “Smart Sleep Monitoring System via Passively Sensing Human Vibration Signals”, IEEE Sensors Journal, vol. 21, no. 13, 2021.
- “Helena: Real-time contact-free monitoring of sleep activities and events around the bed.” the IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2020. (IEEE Mark Weiser Best Paper Award)
- “Smart Seismic Sensing for Indoor Fall Detection, Location and Notification”, IEEE Journal of Biomedical and Health Informatics, 2019.
- “Online distributed IoT security monitoring with multidimensional streaming big data.” IEEE internet of things journal 7.5 (2019): 4387-4394.
- “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, math and engineering are encouraged to apply. Previous research experience in areas related to advanced signal processing and artificial intelligence for topic 1-2, network security and distributed systems for topic 3 is preferred. Awards, high GPA and strong references letters will boost the chances.
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. Postdoc application link is: https://www.ugajobsearch.com/postings/337567.
Please start an inquiry by emailing your CV to Prof. Song at email@example.com and specifying your interest in topic 1-2 or topic 3. In the first round of screening, a data science question with data set for topic 1-2, or a network security question set for topic 3, will be sent to you and expect you to complete it within one week. Thereafter, please contact us when you are ready to do this screening.