Jesse R Codling
Jesse R Codling

PhD Candidate

About Me

Jesse R Codling is a Ph.D. Candidate at the University of Michigan, Ann Arbor working with Dr. Pei Zhang. Before moving to the University of Michigan in 2021, he was a Ph.D. Candidate at Carnegie Mellon University. Jesse’s research focuses on embedded sensing systems using vibrations to facilitate health and activity monitoring for humans and animals. In particular his work leverages physical environmental information in order to overcome noise and reliability issues inherent when deploying devices in harsh environments.

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Interests
  • Robust and Failure-Tolerant Sensor Networks
  • Structures as Sensors
  • Physics-Guided Machine Learning
Education
  • PhD Candidate, Electrical and Computer Engineering

    University of Michigan

  • MS, Electrical and Computer Engineering

    University of Michigan

  • PhD Credit, Electrical and Computer Engineering

    Carnegie Mellon University

  • BS, Electrical Engineering

    Brigham Young University

Featured Projects
Featured Publications
Recent Publications
(2025). Poster Abstract: Leveraging General-Purpose Audio Datasets for Vibration-based Crowd Monitoring in Stadiums. Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems.
(2025). Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens. Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems.
(2025). Poster Abstract: On-Shelf Weight Difference Estimation Through Active Vibration Sensing. Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems.
(2025). Poster Abstract: Sniffing Out the City - Vehicular Multimodal Sensing for Environmental and Infrastructure Analysis. Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems.
(2024). FloHR: Ubiquitous Heart Rate Measurement Using Indirect Floor Vibration Sensing. Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.