PhD Candidate of Computer Science
Department of Computer Science
Center for Information Technology and Algorithms
My work includes analyzing road traffic congestion at intersections in the Las Vegas Valley road network. My research methods include deep learning and traditional algorithmic methods. My goal is to develop novel methods to find traffic lights with non optimical performance (i.e. traffic signal timing) at congested intersections.
My research also includes creating a modern visualization techniques to display road traffic congestion like a 2D geospatial map. This visualization allows both experts and general public to understand and explore spatial-temporal traffic data.
Click on the Congestion Map links in the top bar menu to explore congestion in Las Vegas.
I possess a diverse teaching background, spanning university-level computer science instruction and community-based STEM outreach. As a Part-Time Instructor for CS115, I successfully delivered an asynchronous online introductory computer science course to over 100 undergraduate students. My community involvement includes leading virtual STEAM family nights for elementary students, and serving as a lead mentor and instructor for a program introducing underrepresented youth to mobile app development, circuits, and Arduino programming. This experience demonstrates my ability to adapt teaching methods to various audiences and effectively promote STEM education.
I demonstrated a strong commitment to academic service through diverse roles. I actively represented computer science graduate students in the GPSA, contributing to student advocacy and technology advisement. I also served as a sponsorship reviewer and mentored both undergraduate and graduate students, particularly focusing on supporting underrepresented groups in STEM. My mentorship efforts included guiding students on career paths, graduate school applications, and professional development.