Marilyn S
- Research Program Mentor
MSE candidate at Syracuse University
Expertise
Chemical Engineering, Environmental Engineering, Leadership, Graduate school application, interview and career fair prep, Engineering
Bio
My name is Marilyn Smith and I am a current graduate student at Syracuse University where I am earning my master's degree in Environmental Engineering. I am a recent graduate of the University of Oklahoma from which I obtained my bachelor's degree in chemical engineering. During my time at the University of Oklahoma, I was involved in working on the use of biomass-derived activated carbon for the removal of polyfluoroalkyl substances from water. I truly enjoyed this work and the contributions I was able to give to this research. My current research project involves looking at the impacts of Hurricane Ida on the Gulf Coast and New York City through using satellite imagery and GIS software to depict disruptions to water distribution systems and oil leaks in the Gulf of Mexico. When I am not doing research I have also had the opportunity to intern at various engineering companies as a chemical and environmental engineer. In my free time, I enjoy any opportunity that I can to be outside and enjoy some good weather, read a good book, and spend time with the ones I love the most. I also really enjoy giving back to my community in any way that I can. A fun fact about me is that my cure to any bad day is a bowl of cookies and cream ice cream!Project ideas
Using the engineering design process to solve a problem
Water contamination is a growing problem in our water sources. The main pollutants found at these sites are either organic material, inorganic material, macroscopic, microbial, or thermal. Some of these can be removed from water through physical processes with things that can be found in your home. This project would work to go through the engineering design process to design a water filtration system. Identifying the problem and potential solution.
Water Information Systems
There are so many things that can be learned through data systems, especially about our water resources. This project would involve processing large amounts of rainfall data and programing it in order to analyze the trends and make future predictions for compromised infrustrucre and agriculture.