Enhancements    

Stella Quinones

 
A311
Engineering Building
El Paso Texas, 79968
Homestellaq@utep.edu
Phone Logo(915) 747-6939
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Curriculum Vitae

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Stella Quinones

Associate Professor, Electrical and Computer Engineering

Dr. Stella Quinones is an Associate Professor in the Electrical and Computer Engineering department with more than 20 years experience in academia. Her multidisciplinary engineering background includes Engineering Education; design, testing and analysis of sensors for biomedical applications such as non-invasive glucose sensing; 3D manufacturing; characterization of high strain rate materials for space applications; and fabrication and characterization of CdTe and Si for X-ray imaging and solar cell applications. Engineering Education is a significant portion of her current research focus which includes efforts to increase the number of engineering degrees awarded to women by creating an inclusive, enriching, and engaging environment in the classroom. Related efforts include mentoring and intervention activities for first-year at risk students that will enhance their academic achievement and provide them structured plans for academic and career success. In the classroom, Dr. Quinones works to integrate cutting-edge technology in the classroom in order to facilitate active learning, student engagement, and the creation of rewarding and effective learning experiences. This has led to the creation of a first year hands-on course focused on building and designing sensors that has resulted in a significant increase in passing rates in the follow on gate-keeper course. Dr. Quinones also designed an Applied Quantum Mechanics course for Electrical Engineers that was found to motivate students and promotes interest in quantum mechanics and semiconductor device physics.

KEYWORDS

  1. 3D Manufacturing
  2. Biomedical Sensors
  3. Engineering Education
  4. High Strain Rate Deformation
  5. Materials Characterization
  6. Nanoscale Manufacturing

UTEP STRATEGIC AREAS

  1. Education for the 21st Century Demographic
  2. Health & Biomedical Sciences and Engineering
  3. Cross-cutting: Emerging Technologies: Information Technology, Biotechnology & Nanotechnology
  4. Other