2015-2020, Acoustic Event Detection in Passive Water Distribution Monitoring Systems, University of Waterloo

Research exploring data mining for infrastructure health assessment, specifically the passive monitoring of hydrophone sensor data for anomaly detection within water distribution networks. Developed an experimental test bed, and my experiments range from laboratory testing to field trials in the city of Guelph, ON. Details can be found in my publications. Due to the relevance of this topic to the current state of city infrastructure worldwide, my project also garnered significant media coverage from outlets. Additionally commenced data collection and preliminary work to extend this project’s implementation at GTAA’s (Pearson airport) heating and cooling loop systems.

Media Coverage

• • Leaky water pipes found early by sophisticated hydrant sensors

  • AI technology could help find even small leaks in water pipes

  • These technologies could put an end to leaky water mains

2014-2015, Occupancy Detection using Vibrations Sensors, University of Waterloo

Implemented an occupancy detection and localization framework for buildings with a goal of minimizing training time and maximizing individual privacy. Work was undertaken with accelerometers. Detection using the EM algorithm and localization using cross-correlation of multi sensor (3 or more) was explored.

Publications

Refereed Journal Publications

Cody, R. and Narasimhan, S. (2020). A Field implementation of linear prediction for leak monitoring in water distribution networks. Advanced Engineering Informatics, 45,101103 .

Aremu, O., Cody, R., Hyland-Wood, D. and McAree, P. (2020). A relative entropy based feature selection framework for asset data in predictive maintenance. Computers & Industrial Engineering, 106536 .

Cody, R., Dey, P., and Narasimhan, S. (2020). Linear prediction for leak detection in water distribution networks. Journal of Pipeline Systems Engineering and Practice, 11(1), 04019043.

Cody, R., Tolson, B., and Orchard, J. (2020). Detecting leaks in water distribution pipes using a deep autoencoder and hydroacoustic spectrograms. Journal of Computing in Civil Engineering,34(2), 04020001.

Cody, R., Harmouche, J., and Narasimhan, S. (2018). Leak detection in water distribution pipes using singular spectrum analysis. Urban Water Journal, 15(7), 636-644 .

Refereed Conference Proceedings

Cody, R., Narasimhan, S., and Tolson, B. (2017). One-class SVM–leak detection in water distribution systems. Proc., Computing and Control for the Water Industry, CCWI.

Teaching Experience

Teaching assistant positions at the University of Waterloo are awarded based on academic standing and performance, and are not mandatory requirements for doctoral students.

Course Assistant -- Hydraulics, CivE 381 (W2017)

Teaching Assistant -- Linear Algebra, CivE 115 (F2016)

Teaching Assistant -- Linear Algebra,CivE 115 (F2015)