Ruben Acuna

Ruben Acuña is an Assistant Teaching Professor in the School of Computing and Augmented Intelligence at Arizona State University (ASU). He holds a Master of Science in Computer Science from ASU (2015). His primary research focuses on algorithm design, automated assessment tools, educational data mining, and compiler technologies. He has been actively involved in teaching core courses such as data structures and algorithms (SER 222), operating systems (SER 334), and special topics courses like honors thesis and practicum (SER 493/580).

Acuña’s research emphasizes improving educational outcomes through advanced assessment systems and exploring compiler optimizations. His teaching spans multiple semesters, reflecting his commitment to foundational computer science education. Though no specific awards are highlighted in the text, his contributions to curriculum development and automated grading systems demonstrate impact in both pedagogy and technical innovation.

Academic advising and grants are not explicitly mentioned, but his extensive course load and focus on educational technology suggest active engagement in student mentorship. No specific lab affiliations are noted, though his work aligns with computational and educational technology initiatives within the School of Computing.