Giorgio L. Morales Luna

B.S. in Mechatronics / Ph.D. Student in Computer Science

I am a PhD student in computer science at Montana State University and a current member of the Numerical Intelligent Systems Laboratory (NISL). I hold a BS in mechatronic engineering from the National University of Engineering, Peru, and an MS in computer science from Montana State University, USA. My research interests are Deep Learning, Explainable Machine Learning, Computer Vision, and Precision Agriculture.


Email :;

Phone : (406) 589 - 3267

Address : 424 Cobleigh Hall, Bozeman MT 59715, USA


Montana State University

Ph.D., Computer Science (Expected Graduation Date: 05/2025)

  • Member of the Numerical Intelligent Systems Laboratory (NISL).
  • Advisor: John W. Sheppard.

M.Sc., Computer Science, 2021

  • Thesis: ''Towards Reduced-Cost Hyperspectral and Multispectral Image Classification".
  • Advisor: John W. Sheppard.
  • GPA: 3.97

Universidad Nacional de Ingeniería

B.S., Mechatronics Engineering, 2015

  • GPA: 3.5.


Montana State University

Graduate Research Assistant / January 2021 - Present

  • Part of the Analysis Engine of the On-Field Precision Experiment (OFPE) Framework project.
  • Published 8 journal and conference papers related to prediction and optimization in Precision Agriculture as well as uncertainty quantification and explainable machine learning.
  • Developed a web application in Flask to demonstrate the functionality of the prediction and optimization tools.

Graduate Teaching Assistant / August 2019 - December 2019

  • CSCI 447 - Machine Learning (Fall 2020).
  • CSCI 432 - Advanced Algorithm Topics (Fall 2020).
  • CSCI 232 - Data Structures and Algorithms (Spring 2020).
  • CSCI 132 - Basic Data Structures and Algorithms (Fall 2019 and Summer 2020).

National Institute of Research and Training for Telecommunications (INICTEL-UNI)

Computer Vision Researcher / November 2014 - July 2019

  • Published 11 conference and journal papers, and 1 B.Sc. thesis related to computer vision and remote sensing.
  • Led small teams and worked in multidisciplinary environments.
  • Developed software to detect Mauritia Flexuosa palms in the Amazon using aerial images and drones. The project allowed the expansion of the monitored area by 200% and reduced the expedition costs by 500%.
  • Developed software to segment clouds and shadows for the Space Agency of Peru (CONIDA) in high-resolution multispectral satellite images. The solution reduced the processing times by 1000%.