Research Interest

I investigate personal exposure to PM0.1 (UFPs), PM2.5, PM10, and Total Suspended Particles (TSP) in various environments, including industrial zones, urban areas, and indoor settings. This research provides insights into how different environments contribute to human exposure and the associated health risks, such as respiratory and cardiovascular effects.

• Tools used: Personal Nano Sampler, Optical Particle Counter (OPC), Naneos Partector, Low-cost Purple Air Sensor PM2.5, Shibata PM2.5 personal sampler, and so on. 

Indoor air pollution remains understudied despite its significant impact on public health. I conduct studies in schools, offices, beauty salons, homes, and blacksmith factories to understand the sources and behavior of indoor pollutants. My goal is to develop strategies for better ventilation, filtration, and pollution reduction in indoor spaces. 

• Tools used: Optical Particle Counter (OPC), Naneos Partector, Low-cost Purple Air Sensor PM2.5, and so on.

I have extensive experience in ground-based monitoring using instruments like AQMS, High Volume Air Samplers, and nanosamplers. My research also integrates remote sensing data from Sentinel-5P and MODIS satellites to assess regional pollution trends and hotspots.

• Applications: Long-term monitoring, transboundary pollution analysis, urban air quality management

I focus on the chemical makeup of PM, including carbonaceous components (organic carbon, elemental carbon) and toxic pollutants like polycyclic aromatic hydrocarbons (PAHs). This work helps identify pollution sources and the toxicity of different PM fractions, providing critical input for health risk assessments and mitigation strategies.

Understanding the health risks posed by PM exposure is central to my research. I employ metrics like Chronic Daily Intake (CDI), Time-Weighted Average (TWA), and Hazard Quotient (HQ) to evaluate risk levels for different population groups. This work supports evidence-based policymaking and public health recommendations.

• Current project: Health risk assessment of PM in Phnom Penh (SATREPS Project)

Accurate emission inventories are essential for controlling air pollution. My work involves developing emission factors for sources like biomass burning, vehicle emissions, and waste incineration, particularly plastic and peatland burning in developing countries.

• Application: Better emission estimates to refine regional air quality models

By studying the movement and transformation of PM in the atmosphere, I contribute to improved air quality models. My research examines how meteorological conditions affect the spread and chemical changes of pollutants, helping policymakers develop targeted mitigation strategies.

In developing countries, air quality monitoring is often limited due to the high cost of samplers. I am developing affordable, low-cost air pollution samplers that can be easily deployed by local researchers and communities. These devices are essential for data collection in remote and under-monitored regions, supporting grassroots environmental action.

ooking ahead, I aim to integrate advanced analytical techniques, machine learning, and remote sensing into my research to develop comprehensive models for predicting and managing air pollution impacts. My goal is to collaborate across engineering, health sciences, and policy to create effective, scalable solutions for improving air quality globally.

Explore more about my projects and publications to see how my research is making a difference.