Ernesto Martinez Paz

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Hi, I am a PhD candidate in Environmental Engineering with training in data science, sensors, and ethnography. I create open source hardware and software to study drinking water quality at the tap.

My overarching goal is to develop tools to study water systems and implement creative next-generation solutions to the most pressing challenges on water treatment, quality, supply, and resources.

Contact me at ernestom@umich.edu
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Portfolio


Real-time Water Quality Sensing

Node Architecture and Deployments Learn how I built and deployed drinking water quality sensor nodes under kitchen sinks that measure water quality and relay data through the internet in real time. Here I compile information and data from our deployment locations in Mexico City and Ann Arbor. I include some of the R code I wrote to summarize and plot the signals.


Smart Flushing of Building Plumbing Taps I designed an experiment to automatically flush building plumbing water using the same sensor nodes. For this experiment I developed an algorithm to process sensor data in real time to autonomously actuate the valve - think robotics. This experiment required a bit more cloud computing. Learn about my solution.

This branch is under construction.

Coding for cloud solutions

Cloud Architecture and Smart Tools Cloud Architecture

NESTSMX

This section is under construction

Publications

  1. Ernesto F. Martinez Paz, Lutgarde Raskin, Krista R. Wigginton, Branko Kerkez. “Automatic and Smart Flushing of Building Plumbing Tap Water Using Oxidation-Reduction Potential (ORP) and Temperature Sensors. in preparation. exp. 2023.

  2. Ernesto F. Martinez Paz, Meagan Tobias, Estefania Escobar, Lutgarde Raskin, Elizabeth F. S. Roberts, Krista R. Wigginton, and Branko Kerkez. “Wireless Sensors for Measuring Drinking Water Quality in Building Plumbing: Deployments and Insights from Continuous and Intermittent Water Supply Systems.” ACS ES&T Engineering 2022 2 (3), 423-433 DOI: 10.1021/acsestengg.1c00259

Presentations

  1. Ernesto F. Martinez Paz, Krista R. Wigginton, Lutgarde Raskin, and Branko Kerkez. “Adaptive Flushing of Building Drinking Water Taps Using Real-Time Oxidation-Reduction Potential (ORP) and Temperature Signals.” Hydroinformatics Conference. Bucharest, Romania. July 2022. slides

  2. Ernesto F. Martinez Paz, Faith Cole, Branko Kerkez, Elizabeth F. S. Roberts. “Sensing Water in Mexico City.” Institute for Social Research at The University of Michigan. February 2022.

  3. Cheng Yang, Ernesto F. Martinez Paz. “Chalk Talk: Introduction to Machine Learning.” Environmental Biotechnology Group at The University of Michigan. August 2020

  4. Ernesto F. Martinez Paz, Ana Bernal, David Palma, Krista R. Wigginton, Branko Kerkez, Elizabeth F. S. Roberts. “Mixed Methods for Monitoring Drinking Water in Mexico City.” Sustainability and Development Conference. Ann Arbor, Michigan. October 2019.

Master’s Project – Dow Sustanability Fellowship

In 2018 I was awarded the Dow Masters Sustainability Fellowship at the University of Michigan and was involved in a 1-year long project working with a client. Together with my multidisciplinary team, we wrote this report for our client, Isla Urbana, where we detailed our findings and recommendations that would help them conceptualize a conflict and concensus map among actors in eight axes of Mexico City’s water sector. Isla Urbana oversaw the development of the project from framing the objective and the data collection approach to analysis. This report was not peer-reviewed.

We presented our findings at the annual Dow Sustainability Symposium:

We presented our preliminary results on a poster presentation at the Sustainability and Development Conference in Ann Arbor.



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