Javier Montoya

Javier Montoya is a Senior Lecturer at the Lucerne School of Computer Science and Information Technology, part of the Lucerne School of Applied Sciences and Arts (HSLU). He holds a PhD in Computer Vision and Machine Learning from ETH Zurich (2016), with earlier Master’s degrees from INRIA/Grenoble Institute of Technology (France) and UNICAMP (Brazil). His research focuses on Deep Learning, Machine Learning, and Computer Vision, particularly in healthcare applications such as medical image processing and digital health solutions.

• Education:
  • PhD: Swiss Federal Institute of Technology (ETH Zurich), 2016
  • Master’s: INRIA/Grenoble Institute of Technology (France), 2010
  • Master’s: University of Campinas (UNICAMP, Brazil), 2007

Montoya’s professional expertise spans Machine Learning & Deep Learning, Image Processing & Computer Vision, and Digital Health. His work bridges academic research with applied projects, including roles as Senior Research Scientist at Zurich University of Applied Sciences (ZHAW, 2020–2021) and Research Scientist at ETH Zurich (2017–2019). His recent publications emphasize medical imaging advancements, motion artifact mitigation, and deep learning applications in healthcare.

His research trends highlight innovations in medical image segmentation (e.g., polyp detection, cardiac imaging) and cross-disciplinary projects like solar energy systems and road network analysis. While no specific grants or awards are listed, his extensive publication record underscores contributions to both healthcare and engineering domains.