Ju Cheol Moon

I am currently an Assistant Professor in the Department of Computer Engineering and Computer Science at CSULB, which I have been serving since Fall 2018. My research expertise centers around creating interpretable machine learning algorithms and developing deep neural networks for accurate predictions. I am passionate about leveraging computational frameworks to tackle interdisciplinary challenges, blending theoretical science with practical applications. One of my notable projects involves human gait analysis. I am working on a novel system that uses gait information, collected from wearable device sensors, to identify individuals. This project involves crafting an interpretable deep neural network (DNN) model that incorporates techniques like layer-wise relevance propagation and sensitivity analysis. In the realm of wildlife conservation, I am pioneering a DNN-based framework for shark identification. This project harnesses advances in computer vision to identify sharks using their distinct visual features such as fins, shapes, and color patterns, providing a non-invasive approach to biometric identification. My interests also extend to social sciences, where I collaborate with social scientists. We apply explainable artificial intelligence methodologies to study and address issues like homelessness, consumer behavior, and traffic congestion. This interdisciplinary approach reflects my commitment to applying AI for a societal benefit.

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