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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, Automated Machine Learning, Computer Vision, and Precision Agriculture.

ContACT INFORMATION

Email : giorgiol.moralesluna@student.montana.edu; giorgiomoralesluna@gmail.com

Phone : (406) 589 - 3267

Address : 424 Cobleigh Hall, Bozeman MT 59715, USA

EDUCATION

Montana State University

Ph.D., Computer Science (Expected Graduation Date: 12/2023)

  • Member of the Numerical Intelligent Systems Laboratory (NISL).
  • Published 2 journal papers and 2 conference papers.
  • 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.

EXPERIENCE

Montana State University

Graduate Research Assistant / January 2021 - Present

  • Part of the Analysis Engine of the On-Field Precision Experiment (OFPE) Framework project.

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

  • Participated in research projects, preparation of technical reports, papers and other publications.
  • Published 9 international conference papers, 2 journal papers, and 1 thesis (professional title).
  • Learnt to take the lead of small teams and how to work in a multidisciplinary environment.