Avien FloresMajor: Major: Engineering Physics and Mechanical Engineering Mentor: Dr. Michael DeAntonio, Associate Professor, Physics andDr. David Dubois, Assistant Professor, Environmental Science at New Mexico State University
I chose engineering physics because I not only wanted to understand the laws that governed the physical world but I also wanted to create. I am currently a senior at NMSU and anticipate graduating in May 2017. I have participated in NM AMP undergraduate research scholars for the fall semester 2016. My participation in NM AMP URS program has helped me to reach my goals by providing necessary funding for me to participate in a dual research project that combines mechanical engineering and physics. My research focus is on developing an early monitoring system of dust storms to alert the New Mexico Department of Transportation (NMDOT) to set up necessary safety precautions to maximize the health of NM travelers and NM citizens. Before NM AMP URS I had participated in the New Mexico Space Grant Consortium (NMSGC) working on a joint space exploration project with Klipsch School of Electrical and Computer Engineering and Jet Propulsion Lap (JPL) on developing an infrared sensor to detect whether a mineral sample came from a biological source. I have participated in Society of Engineering physics (SEPh) and Society of Physics Students (SPS) in my early years attending NMSU. I am now the co-founder of a new STEM student group focused on bringing together engineering and physics to expand student’s professional and technical skills. My current research interests are in the development of sensor systems for monitoring of physical models. My future long term goals are to attend graduate school and pursue my PhD in physics.
Atmospheric Dust Sensor Development and Testing
The health of citizens in NM and the safety of travelers on NM roads is affected by dust storms. In collaboration with the NM Department of Health, the NM Department of Transportation, and NOAA the meteorological events that cause dust storms are being monitored. Prototype automated infrared dust sensors are being developed to collect real time data in remote locations. The collected data is analyzed and used to create a computer program based on the physical dust model to predict the occurrence of an event.