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Dr. Elia Eiroa Lledo

Assistant Professor, Instructional Faculty

Electrical Engineering and Computer Science, Fowler School of Engineering

Email: eiroalledo@chapman.edu

Education:: Chapman University, Bachelor of Science
Chapman University, Master of Science
Chapman University, Ph.D.

Recent Creative, Scholarly Work and Publications: Eiroa-Lledo, Elia, Rao Hamza Ali, Gabriela Pinto, Jillian Anderson, and Erik Linstead. 2023. "Large-Scale Identification and Analysis of Factors Impacting Simple Bug Resolution Times in Open Source Software Repositories" Applied Sciences 13, no. 5: 3150. https://doi.org/10.3390/app13053150; Dehua Liang, David A. Frederick, Elia E. Lledo, Natalia Rosenfield, Vincent Berardi, Erik Linstead, Uri Maoz, Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The U.S. Body Project I, Body Image, Volume 41, 2022, Pages 32-45, ISSN 1740-1445,; Springer, Tom, Elia Eiroa-Lledo, Elizabeth Stevens, and Erik Linstead. 2021. "On-Device Deep Learning Inference for System-on-Chip (SoC) Architectures" Electronics 10, no. 6: 689. https://doi.org/10.3390/electronics10060689; Eiroa-Lledo, Elia, Abby Bechtel, Emily Daskas, Lily Foster, Raha Pirzadeh, Katie Rodeghiero, and Erik Linstead. "Do Experienced Programmers put too Much Confidence in Comments?." In SEKE, pp. 281-286. 2020.; A. Bergh, P. Harnack, A. Atchison, J. Ott, E. Eiroa-Lledo and E. Linstead, "A Curated Set of Labeled Code Tutorial Images for Deep Learning," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2020, pp. 1276-1280, doi: 10.1109/ICMLA51294.2020.00200.