GeoMCU: Geophone Interface Hardware
GeoMCU is a wireless interface for Structural Vibration sensing using Geophones. Now open-source!
•
1 min read
Read more
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
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 …
•
1 min read
Read more
Featured Publications
GeoMCU: Adaptable and Resilient Low-Noise Sensing Platform for Structural Vibrations
Jesse Codling
•
•
1 min read
FloHR: Ubiquitous Heart Rate Measurement Using Indirect Floor Vibration Sensing
Jesse R. Codling
•
•
1 min read
PigNet: Failure-Tolerant Pig Activity Monitoring System Using Structural Vibration
Amelie Bonde
•
•
1 min readRecent Publications
(2025).
Human vs. Machine: Comparing Urban Condition Classification Methods from Vehicular Vision.
Proceedings of the 12th ACM International Conference on Systems for Energy-efficient Buildings, Cities, and Transportation.
(2025).
Robust Piglet Nursing Behavior Monitoring through Multi-Modal Fusion of Computer Vision and Ambient Floor Vibration.
Computers and Electronics in Agriculture.
(2025).
VibraFarrow: Pig Farrowing Time Prediction Using Ambient Floor Vibrations.
Proceedings of the 12th ACM International Conference on Systems for Energy-efficient Buildings, Cities, and Transportation.
(2025).
ViLA: Leveraging General-Purpose Audio for Training Vibration-Based Stadium Crowd Monitoring Models.
Proceedings of the 12th ACM International Conference on Systems for Energy-efficient Buildings, Cities, and Transportation.