Supervision
Overview
I have supervised 1 PhD student and 28 MSc students (15 completed, 13 ongoing), along with research mentorship projects.
Completed MSc theses achieved an average grade of 18.5/20 (range: 17-20).
PhD theses
2025
- Alícia Oliveira. A systems perspective on LLM optimizations. Supervised with António Sousa. University of Minho. (ongoing)
MSc theses
2025/2026
- Nuno Matos. Adaptable I/O library for Medical Imaging Workloads. Co-advised with João Paulo. University of Minho.
- Manuel Carvalho. I/O optimzations for Medical Imaging Workloads. Co-advised with João Paulo. University of Minho.
- Augusto Campos. User-focused HPC Job Monitoring and Analysis System. Co-advised with António Sousa. University of Minho.
- João Abreu. Intelligent Resource Allocation in HPC. Co-advised with António Sousa. University of Minho.
- Paulo Pinto. Data Optimization Mechanisms in Intrusion Detection Systems. Co-advised with João Marco. University of Minho.
- João Cardoso. Benchmarking of LLMs Inference in Medical Diagnosis. Co-advised with António Sousa and Alícia Oliveira. University of Minho.
2024/2025
- Ana Sousa. Classifying Alzheimer’s Disease through Federated Learning and 3D Brain MRIs. Co-advised with António Sousa, Beatriz Cepa and Alícia Oliveira. University of Minho.
- Ricardo Araújo. Neuroimaging analysis pipeline leveraging open-source frameworks in distributed environments. Co-advised with António Sousa and Beatriz Cepa. University of Minho.
- Alexandre Fernandes. Energy Monitoring System for Large-Scale Infrastructures. Co-advised with Ricardo Macedo and António Sousa, University of Minho.
- Carlos Machado. An NVMe-oriented I/O scheduler for reducing energy consumption. Co-advised with João Paulo and Ricardo Macedo, University of Minho.
- Miguel Braga. GPU Energy Control for LLMs. Co-advised with Ricardo Macedo and António Sousa, University of Minho.
- Gonçalo Sousa. Fault-Tolerant storage solutions for AI training in HPC. Co-advised with João Paulo, University of Minho.
- André Lucena. Storage Optimizations for large-scale AI training in HPC. Co-advised with João Paulo, University of Minho.
2023/2024
- Alícia Oliveira. Correction of Motion Artifacts using Deep Learning in High-Performance Computing. Co-advised with António Sousa and Beatriz Cepa. University of Minho. Finished: 20 values
- Diana Rodrigues. GPU energy control for Deep Learning systems. Co-advised with Ricardo Macedo and António Sousa, University of Minho. Finished: 19 values
- Mariana Amorim. Energy control system for disaggregated storage resources. Co-advised with João Paulo and Ricardo Macedo, University of Minho. Finished: 18 values
- José Fernandes. Comprehensive study of the energy impact of key-value stores. Co-advised with Ricardo Macedo and António Sousa, University of Minho. Finished: 19 values
- Sara Pereira. Energy Control System for Large-Scale Infrastructures. Co-advised with Ricardo Macedo and Carlos Baquero, University of Porto. Finished: 18 values
- Francisco Neves. Heterogeneous Storage Solution for Deep Learning Frameworks. Co-advised with João Paulo and Ricardo Macedo, University of Minho.
2022/2023
- Maria Beatriz Moreira. “I/O Optimizations for Distributed Deep Learning Training”. Co-advised with João Paulo and Ricardo Macedo. University of Minho* Finished: 18 values
- Luís Branco. Integration of Distributed Deep Learning in MCC application. Co-advised with António Sousa and Beatriz Cepa. University of Minho.
2021/2022
- Beatriz Cepa. Deep Learning for Image Generation Using HPC. Co-advised with António Sousa. University of Minho. Finished: 18 values
- Beatriz Soares. A Web and Machine Learning-based DICOM Image Tool. Co-advised with António Sousa. University of Minho. Finished: 20 values
- João Alves.* Cloud-based Healthcare Application with Privacy-preserving Analytics. Co-advised with António Sousa. University of Minho. Finished: 19 values
2020/2021
- Ana Cláudia Abreu. Distributed Deep Learning Approach for Epilepsy Detection on EEG signals. Co-advised with António Sousa. University of Minho. Finished: 17 values
2019/2020
- Margarida Machado. Distributed Deep Learning For Sleep Apnea Detection on ECG signals. Co-advised with António Sousa. University of Minho. Finished: 18 values
Research mentorship
2025
- Augusto Campos, João Abreu and Tiago Silva. HPC Job-based Resources Monitoring System. Co-advised with António Sousa and Tânia Esteves. University of Minho.
- Bruno Gião, Inês Castro, Paula Marques. eBPF checker explainer with LLMs. co-advised with Tânia Esteves. University of Minho.
- Manuel Carvalho, Nuno Matos. Pipeline for the analysis of time series data based in AI models using distributed systems. Co-advised with Fábio Coelho (under the ATE project), University of Minho.
2023
- Diana Rodrigues, José Fernandes and Mariana Amorim. Monitoring Energy Consumption with Fine-Granularity in Data-centric Applications. Co-advised with António Sousa and Ricardo Macedo, University of Minho