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John Armin

John Armin

Environmental engineer building sustainable AI for utility operations

Raleigh, North Carolina
Joined January 2026

Summary

Bridges environmental engineering and data science to deliver operationally useful AI for utilities — combines a PhD in environmental engineering and a master's in computer science with hands-on work deploying ML for water/wastewater operations. wayne+2
Focus on practical, secure, and sustainable edge/cloud architectures — emphasizes deployable pipelines, security, and sustainability when bringing ML into utility environments. johnarmin+1
Entrepreneurial productization of research — co-founded and led applied technology startups (Quantifly, RUFA) to commercialize computer vision and remote-sensing analytics and holds involvement in related patents. quantifly+2
Active academic and community engagement — maintains a Google Scholar profile with a body of publications, teaches as an adjunct at UNC Chapel Hill, and participates in professional organizations (AWWA) to promote data standards and applied research. google+2

Work

Education

Projects

Writing

US Patent 11,790,773 (Vehicle Parking Data Collection System and Method / related patents)

January 1, 2023

Patent (and related patent application) covering a vehicle parking data collection system and associated methods; listed among authored/inventor patents tied to Quantifly project collaborators.

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Lifecycle of Machine Learning Models

January 1, 2021

Article describing steps and considerations for deploying ML models in the water sector, including secure connectivity, automated data pipelines, and integration with visualization tools to support operational decision-making.

Favicon imagehazenandsawyer.com

Using Machine Learning to Optimize Operations

January 1, 2021

Article on practical applications of machine learning for water utilities, including a case study on influent flow forecasting and operational integration.

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Integrated Strategies For Sustainable Wastewater-Based Algal Biofuel Production And Environmental Mitigation In The US

January 1, 2018

Doctoral dissertation that develops a spatially explicit lifecycle model integrating LCA and GIS to evaluate environmental and economic performance of algal biofuel production using wastewater across U.S. wastewater treatment plants; includes laboratory experiments on mixotrophic microalgae biofilms and machine learning analyses.

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Iot Based Edge And Cloud Computing For Smart Environmental Engineering Applications

January 1, 2018

Master's thesis describing IoT and edge computing sensor technologies applied to environmental engineering problems, including energy-saving sensor packages and applications to algal treatment, Superfund site monitoring, and algal bloom detection.

Favicon imagedigitalcommons.wayne.edu

Hobbies

Avid camper and hiker; enjoys music and listening to technology and data-analytics podcasts. awwa