Jesse R Codling

Jesse R Codling

(he/him)

PhD Candidate

University of Michigan

Professional Summary

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.

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

Interests

Embedded Systems Design Robust and Failure-Tolerant Sensor Networks Structures as Sensors Physics-Guided Machine Learning
Featured Projects
GeoMCU: Geophone Interface Hardware featured image

GeoMCU: Geophone Interface Hardware

GeoMCU is a wireless interface for Structural Vibration sensing using Geophones. Now open-source!

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FloHR: Detecting Heart Beats in Floor Vibration featured image

FloHR: Detecting Heart Beats in Floor Vibration

We use our GeoMCU hardware to detect heartbeat-induced floor vibrations, enabling ubiquitous heart rate monitoring. Now published in BuildSys 2024 and winner of a runner-up best …

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Featured Publications
Recent Publications
(2025). Robust Piglet Nursing Behavior Monitoring through Multi-Modal Fusion of Computer Vision and Ambient Floor Vibration. Computers and Electronics in Agriculture.
(2025). GeoMCU: Adaptable and Resilient Low-Noise Sensing Platform for Structural Vibrations. engrXiv.
(2025). Poster Abstract: Leveraging General-Purpose Audio Datasets for Vibration-Based Crowd Monitoring in Stadiums. SenSys 2025.
(2025). Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens. SenSys 2025.
(2025). Poster Abstract: On-Shelf Weight Difference Estimation through Active Vibration Sensing. SenSys 2025.