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Seminar with Dr. Sinan Sousan- Advancements in Exposure Measurements
January 16 @ 12:30 pm
Join ASSIST faculty & students as we welcome Dr. Sinan Sousan to our first seminar of the year. Dr. Sinan Sousan will be speaking on the Advancements in Exposure Measurements. He is an Assistant Professor in the Department of Public Health and a Research Faculty at the North Carolina Agromedicine Institute. Full bio and abstract below:
Bio: Dr. Sinan Sousan is a Chemical Engineer with experience and training in occupational exposure assessment and treatment. He earned a Ph.D. in Chemical Engineering from the University of Iowa with focus on atmospheric sciences. He was a postdoc in the Department of Occupational and Environmental Health at the University of Iowa. He has worked on aerosol, gas, and noise assessment in occupational settings, bioaerosol assessment and treatment in agriculture settings, and improving air quality model estimates. He has led multiple field campaigns inside a heavy-manufacturing facility and in agricultural settings. He is currently an Assistant Professor in the Department of Public Health and a Research Faculty at the North Carolina Agromedicine Institute. Dr. Sousan’s goals are assessment, treatment, and control of environmental and occupational hazards. Specifically, aerosols and toxic airborne chemical hazards, physical hazards, such as noise and extreme temperatures, and biological hazards related to airborne pathogens in agricultural settings.
Abstract: Environmental and occupational exposure to particulate matter (PM) and toxic gases have been associated with an increase in morbidity and mortality rates. Filter-based gravimetric measurements are considered the gold standard to determine mass concentrations for these toxic exposures. Gravimetric measurements have high accuracy and precision but are temporally and spatially limited and are associated with high labor costs. Low-cost sensors have become popular in assessment for these exposures and have been used for both environmental and occupational settings. These affordable devices have a small form factor, low power demands, allow real-time measurements, and can be deployed in a spatially distributed sensor network. A sensor network was deployed in a heavy-vehicle manufacturing facility to measure different hazards. The goal was to measure different exposures that include PM and toxic gases, in addition to other physical hazards such as extreme temperatures and elevated noise. Real-time measurements gathered in a spatially distributed environment was effectively used to derive hazard maps. These maps will help identify the determinants of exposure and the long-term effectiveness of controls put in place to limit those exposures. Control and treatment technologies can protect workers health and prevent sudden exposure to high levels of toxins and physical hazards. Future deployment of the sensor network in different environments can effectively aid our understanding of real-time hazards and provide solutions that can protect us from short- and long-term exposures.