Oscar Kiyoshige Garcés Aparicio -

Profile

I am a Postdoctoral Research Fellow in the Faculty of Information Technology and a member of the Centre for Learning Analytics at Monash University (CoLAM). I hold a PhD in Artificial Intelligence from the Australian Artificial Intelligence Institute at the University of Technology Sydney, where I specialised in Transfer Reinforcement Learning (TRL). My doctoral research focused on developing machine learning methods that enable the transfer of knowledge across tasks with differing dynamics, improving adaptability and efficiency in intelligent systems. My current research sits at the intersection of machine learning and education, focusing on the use of data-driven approaches to understand and support learning processes. In particular, I investigate feedback and feedback literacy, and designs AI-supported approaches to provide meaningful, personalised feedback in educational settings. My work integrates reinforcement learning and probabilistic machine learning, with a focus on Successor Representations to improve generalisation and sample efficiency, and Bayesian methods to address uncertainty and decision-making in low-data regimes.

I have worked in several technology-driven companies and contributed to computer science research, gaining experience in applying software and machine learning techniques to real-world challenges, including the development of scalable algorithms for financial systems.

My research aims to bridge theoretical advances in machine learning with practical applications in education. My work focuses on developing methods that are both technically rigorous and capable of generating meaningful impact in real-world learning environments.

Research Interests

  • Machine Learning
  • Transfer Reinforcement Learning
  • Feedback Literacy
  • Self-Regulated Learning
  • Bayesian Methods
  • Gaussian Process
  • AI Applied for Real-World Problems
  • Education Technologies.


Blog

NeoVim after a couple of years learning process
27.January.2021

tags: vim, NeoVim

NeoVim are really excellent tools, which are not only text editors also could be used as IDEs. Nevertheless, it's well-known the learning curve issue and the difficulty to start using.

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How-to use ClickUP API to integrate Apple Shortcuts
7.April.2020

tags: time management, API integration, clickup

I changed from Trello to ClickUp, I figured out how-to tackle an integration issue using Apple Shortcut. This is the How-To.

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How did I include Software Design to this blog
23.February.2020

tags: golang, gin gonic, architecture

This blog was built using Golang and Gin Gonic, but more important than this is the architecture and solution.

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A road through Functional Programming
23.October.2019

tags: Programming Languages, Functional Programming

After several basic tutorials about functional programming, I realized I would never be capable of improve my knowledge without this concepts.

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IELTS test versions
24.September.2019

tags: IELTS, English Tests, personal

Are you thinking in take the IELTS English test and you do not know what version to choose?

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Draft - Notes about Lean Startup Book
21.July.2019

tags: Lean Startup,Entrepreneur

David Ries Lean Startup Book depicts a bunch of knowledge related with Startup process and most important how to convert any company and project in a constant innovation process

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Gin Gonic & Heroku
10.March.2019

tags: Go,Programming Languages,Gin Gonic

I want to publish a new website in Heroku using Golang. What did I learn? Here we go!

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First steps with Golang & Gin Gonic
09.March.2019

tags: Go,Programming Languages

What is Golang? For me is a new experience which I decided to invest ample time to create a new project. All this website is made using Golang and Gin Gonic.

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First Post
09.March.2019

tags: personal

The first post is about myself. Also, a brief introduction of what is this blog for.

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Publications

2026 - 2023


Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact,
K Garcés, V Echeverria, GM Fernandez-Nieto, L Zhao, S Samaraweera, D Gasevic, R Martinez-Maldonado
Learning at Scale, 2026

Successor Feature Adaptation for Transfer Reinforcement Learning across Dissimilar Transition Dynamics via Gaussian Process,
K Garcés, J Xuan, B Liu, H Zuo
Reinforcement Learning Conference (RLC), 2026, Submitted

Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes,
GM Fernandez-Nieto, K Garces, M Rakovic, X Li, T Li, L Zhao, D Gasevic
Journal of Computer Assisted Learning, 2026, Submitted

Adaptive Successor Features Composition for Transfer Reinforcement Learning,
K Garcés, J Xuan, H Zuo
IEEE Transactions on Artificial Intelligence, 2025

Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation using Successor Representations,
K Garces, GM Fernandez-Nieto, M Rakovic, X Li, T Li, L Zhao, D Gasevic, J Xuan, H Zuo
Artificial Intelligence in Education (AIED), 2025

Transformed Successor Features for Transfer Reinforcement Learning, K Garces, J Xuan, H Zuo Australasian Joint Conference on Artificial Intelligence, pp. 298-309, 2023

2017 - 2014


Cost comparison of running web applications in the cloud using monolithic, microservice, and AWS Lambda architectures, Mario Villamizar, Oscar Garcés, Lina Ochoa, Harold Castro, Lorena Salamanca, Mauricio Verano, Rubby Casallas, Santiago Gil, Carlos Valencia, Angee Zambrano, Mery Lang Journal Service Oriented Computing and Applications, ed: Springer London, 2017

Facilitating the Execution of HPC Workloads in Colombia through the Integration of a Private IaaS and a Scientific PaaS/SaaS Marketplace, Harold Castro, Mario Villamizar, Oscar Garcés, Jose Pérez, Rodolfo Caliz, and Pedro F. Pérez Arteaga The sixteenth IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Cartagena, Colombia, 2016

Infrastructure Cost Comparison of Running Web Applications in the Cloud Using AWS Lambda and Monolithic and Microservice Architectures Mario Villamizar, Oscar Garcés, Lina Ochoa, Harold Castro, Lorena Salamanca, Mauricio Verano, Rubby Casallas, Santiago Gil, Carlos Valencia, Angee Zambrano, and Mery Lang The sixteenth IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Cartagena, Colombia, 2016

Re-architecting a JEE On-Premise Web Application to Deploy It in the Cloud Mauricio Verano, Mario Villamizar, Oscar Garcés, Harold Castro, Lorena Salamanca, Lina Ochoa, Rubby Casallas, Angee Zambrano, Carlos Valencia, and Santiago Gil The Fourth IEEE International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA), San Diego, CA, USA, 2015

Evaluating the Monolithic and the Microservice Architecture Pattern to Deploy Web Applications in the Cloud Mario Villamizar, Oscar Garcés, Harold Castro, Mauricio Verano, Lorena Salamanca, Rubby Casallas and Santiago Gil 10 Congreso Colombiano de Computación, Bogotá, Colombia, 2015

2013 - 2010


Despliegue y ejecución de aplicaciones científicas en la nube: Una estrategia escalable, amigable y económicamente eficiente Kiyoshige Garcés, Harold Castro, Mario Villamizar Conferencia Latinoamericana de Computación de Alto Rendimiento, San José de Costa Rica, 2013

Luis Daniel Benavides Navarro, Andres Barrera, Kiyoshige Garcés, Hugo Fernando Arboleda Jimenez Detecting and Coordinating Complex Patterns of Distributed Events with KETAL Electronic Notes In Theoretical Computer Science ISSN: 1571-0661 ed: Elsevier v.281 fasc. p.127 - 141, 2011

A Kernel Library to Detect and Coordinate Complex Patterns of Distributed Events Luis Daniel Benavides Navarro, Andres Barrera, Kiyoshige Garcés, Hugo Fernando Arboleda Jimenez In proceedings of the 36th ”Conferencia Latinoamericana de Informática”- Quito, Ecuador, 2011