Anton Stengel ’23

Major

Mathematics

Project Title

Cities, Sensors, Satellites and Sustainability: Mapping Cities and Urban Infrastructure Through Data Science

Presentation Link

View Anton's Presentation

Certificate(s): Computer Science

I studied sanitation and wastewater treatment in India, where the lack of access to sanitation and clean water kills tens of thousands of Indians every year through waterborne diseases. I helped develop a deep learning model to identify wastewater treatment plants (WTTPs) from satellite imagery. I compiled from satellite imagery a data set of labeled images of thousands of WTTPs in the United States, as well as a few hundred Indian WWTPs identified from a web-scraping algorithm on Google Maps. I then created a preliminary deep learning model using state-of-the-art YoloV5 architecture in PyTorch that can pinpoint the location of an object based on an image inputted through a mathematical model. While the project is not complete, hopefully this research will help inform policy questions related to public health and pave the way for more deep learning research in the lab. My internship provided me with a broad exploration of environmental work as well as machine learning, and it has definitely encouraged me to pursue more of a mission-based career.



Internship Year

2020

Project Category

Urban Systems and Planning for a Sustainable Future

Organization(s)

Sustainable Urban Infrastructure Systems Lab, Department of Civil and Environmental Engineering, Princeton University

Mentor(s)

Anu Ramaswami, Sanjay Swani ’87 Professor of India Studies, Professor of Civil and Environmental Engineering and the High Meadows Environmental Institute; Dana Boyer, Research and Development Manager, High Meadows Environmental Institute; Michael Milnar, Graduate Research Assistant, Sustainable Healthy Cities Network