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Research Interests
Research Interests
- Agricultural air quality
I am an air quality engineer by training, with research experience spanning ambient and indoor air quality, including air quality monitoring, modeling, pollution control, and instrumentation development. My current research focuses primarily on bioaerosols, odors, and greenhouse gas emissions from animal agriculture.
- Sustainability benchmarking
I am particularly interested in applying life cycle assessment and multi-criteria decision-making tools to evaluate animal production systems and their interactions with the environment and society. My goal is to generate actionable insights and support the development of practical strategies that reduce environmental footprints while maintaining the productivity and profitability of animal production systems.
- Precision agriculture
My interest in precision agriculture stems largely from my experience in instrumentation development. I am particularly passionate about developing open-source, low-cost, and low-maintenance IoT solutions for small- and mid-sized farms. I am also interested in integrating olfactory sensing (odors) with machine vision and artificial intelligence (AI) to enable multimodal sensing systems for agricultural applications.
Sensing with vision and olfaction: Transforming drones to precision water quality management vultures
Sensing with vision and olfaction: Transforming drones to precision water quality management vultures
Sponsored by a USDA AFRI grant, this project seeks to develop an innovative approach for identifying areas of lake water potentially affected by harmful algal blooms or fecal contamination. The approach integrates a gas sensor array and a multispectral camera mounted on an unmanned aerial vehicle (UAV), with AI-enabled models used to detect and predict water quality degradation.
Current and Recent Projects
Current and Recent Projects
Size-segregated bioaerosol characterization and PM source attribution in and near swine production facilities
Size-segregated bioaerosol characterization and PM source attribution in and near swine production facilities
Funded jointly by FFAR and NPB, this Phase I project aims to develop objective methodologies for measuring particulate matter (PM) within and immediately surrounding swine production facilities. The project focuses on identifying and validating low-cost PM sensors for air quality monitoring and applying metagenomic sequencing to characterize bioaerosols and support source attribution. An extensive field monitoring campaign is currently underway.
A low-cost open-source smart scale
A low-cost open-source smart scale
Our overarching goal is to develop low-cost open-source precision livestock farming solutions for cost-cautious livestock producers. In this project, we designed and fabricated a smart scale system allowing a producer to remotely monitor the ear tag ID and weight of animals. The measurement data were locally saved on a microSD card and posted on a cloud server with dashboards interacting with producers.
Livestock wastewater treatment with flocculants prepared from agricultural by-products
Livestock wastewater treatment with flocculants prepared from agricultural by-products
Solid separation offers multiple benefits for livestock wastewater management. However, most existing flocculants/coagulatants are made from minerals or petroleum, carrying large carbon footprints. To promote the agricultural circular economy, we prepared natural flocculants from several agricultural by-products (e.g., cellulose and potato peels) and tested their performance for multiple livestock wastewater types as well as microalgae harvesting.
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