Sebastian Moreno, PhD

Doctor in Computer Science, Purdue University 2014

Calculated based on number of publications stored in Pure and citations from Scopus
20042025

Research activity per year

Personal profile

Research Interests

His research interests include machine learning, specifically deep learning (neural networks). Currently, he focuses on machine learning models for transportation data, applying deep learning models on remote sensing (recurrent, convolutional neural networks, and transformers), and the ability of deep learning models to transfer learned patterns over different domains.

Key Words

Applied Machine learning, Neural Networks, Deep Learning, Transfer Learning

Profession

Civil Engineer in Computer Science, Universidad Técnica Federico Santa María 2007

Education/Academic qualification

PhD, Purdue University

Award Date: 8 Aug 2014

Master, Purdue University

Award Date: 7 May 2011

Master, Universidad Técnica Federico Santa María

Award Date: 19 Jan 2007

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