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
tags: vim, NeoVim
tags: time management, API integration, clickup
tags: golang, gin gonic, architecture
tags: Programming Languages, Functional Programming
tags: IELTS, English Tests, personal
tags: Lean Startup,Entrepreneur
tags: Go,Programming Languages,Gin Gonic
tags: Go,Programming Languages
tags: personal
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
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
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