Nathan received his BASc. in Nanotechnology Engineering from his hometown University of Waterloo in 2013. As an undergraduate he worked as a research assistant for the Applied Carbon Nanotechnology Laboratory at the University of Waterloo under the supervision of Dr. Aiping Yu, and as a data analyst at Environment Canada in Dr. Jeffrey Brook’s group. In noticing analogies between current nanocharacterization methods and air quality instrumentation, the latter co-op placement would spark his interest in the atmospheric sciences. Now, as a PhD. student in the University of Toronto’s SOCAAR laboratory, the focal point of Nathan’s research pertains to the characterization of traffic-related air pollutants near roadways using high time resolution instruments, and understanding the meteorological conditions conducive to their contribution to urban air quality.
Ezzat Jaroudi obtained his MA Eng in 2006 from the American University of Beirut with a focus on Thermal and Fluid Science. His thesis focused on developing and experimentally validating a model to simulate ventilation in a clothed human limb to estimate heat and moisture loss.
After working in the oil and gas field for two years as a piping engineer, he returned to the research field a as a research associate at the Aerosol Research Lab at the American university of Beirut where he was involved in studies varying from environmental tobacco smoke of Narghile (water pipe), to kinetics of atmospheric aerosols, as well as urban aerosols. During his time there Ezzat was actively involved in a public campaign that produced a law banning smoking in all indoor public venues.
Ezzat first joined SOCAAR in Feb 2013 as a research assistant working on the SCULPT study which was aimed at investigating the impact of traffic by measuring various air pollutants across the city of Toronto.
In August 2013, Ezzat started his PhD degree working on in-situ real-time characterization of fly ash particles from biomass boilers used in pulp and paper mill operations. The research is aimed at obtaining data for different types of boilers and different types of biomass mixtures. The information obtained will be used to develop control strategies and new technologies to improve biomass burner operation and reduce the environmental impact.
Kimia received her Hon. B. Sc. Degree in Evolutionary Biology and Chemistry from the University of Toronto in 2013. For her fourth year undergraduate thesis, she worked under the supervision of Prof. Jik Chin in the Department of Chemistry. The project involved investigating the stability of imidazolidine rings through experimentation and computation. She pursued her Master’s degree in Chemistry with Prof. Jik Chin as well, where she developed an artificial enzyme for amino acid racemization.
Her passion for teaching, combined with her background in Chemistry, motivated her to join Dr. Greg Evans’ group in 2015 for the Engineering Education collaborative program. Her research involves improving the learning outcomes of the chemical engineering undergraduate laboratories by bridging the learning from a larger context to the underlying fundamentals. Part of her research also involves developing an online Teamwork Skills Instructor’s Resource Kit for technical undergraduate engineering courses.
Jonathan Wang received his honours B.Sc in Chemistry from Carleton University in Ottawa. During his undergraduate career, he worked at the National Research Council as a research assistant focusing on the determination and characterization of toxic pollutants from burned materials. After graduation, he pursued an M.Sc under the supervision of Professor Jennifer G. Murphy at the University of Toronto in the Department of Chemistry. He worked with an off-axis integrated cavity output spectrometer (OA-ICOS) to measure carbon dioxide and methane exchange between a Central Ontario temperate forest and the atmosphere calculated using the eddy covariance technique. Jon joined SOCAAR in 2012 as a Ph.D. student under the supervision of Professor Greg J. Evans. His research involves the analytical techniques to measure traffic-related pollutants such as ultrafine particles, black carbon, and metals in order to better quantify the direct contribution of vehicles to near-road pollutant levels. This will help link actual human exposure levels near roadways to epidemiological findings to these pollutants.