About
Love for nature and adventure.
Working in science and technology.
Ph.D. in Computer Science.
Developer & Researcher
Analytical skills and strong programming. Aiming for teamwork and collaborative environments.
- Birthday: 20 Jun 1989
- Website: http://yiselgari.github.io
- Phone: +54 9261 252 0933
- City: Mendoza, Argentina.
- Degree: Ph.D. in Computer Science
- Email: ygari@uncu.edu.ar
- Researcher: CONICET-UNCuyo
Currently applying reinforcement learning techniques for the autoscaling of scientific workflows in the Cloud.
Resume
Ph.D. in Computer Science.
Received doctoral fellowship (2016) and a postdoctoral fellowship (2022) from the Argentine Council of Scientific and Technological Research (CONICET) in Argentina.
Sumary
Yisel Garí
Developer and Researcher with 5+ years of experience in scientific production.
- Intelligent Systems Laboratory (LABSIN) at School of Engineering. National University of Cuyo. Mendoza, Argentina.
- (+54) 9261 252 0933
- ygari@uncu.edu.ar
Education
Ph.D. in Computer Science
2016 - 2021
National University of Central Buenos Aires (UNICEN), Argentina.
Thesis: Reinforcement Learning techniques for the autoscaling of scientific workflows in the Cloud.
Bachelor of Computer Science
2007 - 2012
University of Havana, Cuba.
Thesis: Domain Specific Language for Access Control Applications.
Professional Experience
Researcher
2022 - Present
- Scientific Production using Java, Python, LATEX and Tableau.
Researcher
2016 - 2021
ITIC Research Institute. National University of Cuyo. Mendoza, Argentina.
- Scientific Production using Java, Python, LATEX and Tableau.
Software Developer
2014 - 2016
IRIS Group University of Havana, Cuba.
- Development of university’s web application systems using CMS (Drupal) and frameworks based on PHP.
Software Developer
2012 - 2014
Datys Tecnological Solutions. Havana, Cuba.
- Development of a security applications framework (Telephony, Video Protection System, Access Control, Fire and Intruder Detection) using C# and .Net.
Portfolio
Author in relevant scientific journals.
Papers
Scientific production.
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Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA.
Yisel Garí, Elina Pacini, Luciano Robino, Cristian Mateos and David A. Monge. Future Generation Computer Systems, 157:573–586, 2024.
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A Q-learning approach for the autoscaling of scientific workflows in the cloud.
Yisel Garí, David A. Monge, and Cristian Mateos. Future Generation Computer Systems, 127:168–180, 2022. Spring 2023 Editor’s Choice Certificate.
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Reinforcement learning-based application autoscaling in the cloud: A survey.
Yisel Garí, David A. Monge, Elina Pacini, Cristian Mateos, and Carlos García Garino. Engineering Applications of Artificial Intelligence, 102:104288, 2021.
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Learning budget assignment policies for autoscaling scientific workflows in the cloud.
Yisel Garí, David A. Monge, Cristian Mateos, and Carlos García Garino. Cluster Computing, 23:87–105, 2020.
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Markov Decision Process to dynamically adapt spots instances ratio on the autoscaling of scientific workflows in the cloud.
Yisel Garí, David A. Monge, Cristian Mateos, and Carlos García Garino. Communications in Computer and Information Science, Springer, Cham, 796:353–369, 2018.
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Autoscaling scientific workflows on the cloud by combining on-demand and spot instances.
David A. Monge, Yisel Garí, Cristian Mateos, and Carlos García Garino. International Journal of Computer Systems Science and Engineering, 32(4):291–306, 2017.