Supervision

Overview

I have supervised 4 PhD students and 28 MSc students (16 completed, 10 ongoing), along with research mentorship projects.

Alexandre Fernandes. Optimizing the Energy Efficiency of Modern Data Centers. Co-advised with Ricardo Macedo. Doctoral Programme in Informatics, University of Minho. (starting 2027)

Gonçalo Sousa. AI for Systems and Systems for AI Supervised with João Paulo. University of Minho. (ongoing)

Alícia Oliveira. A systems perspective on LLM optimizations. Supervised with António Sousa. University of Minho. (ongoing)

Beatriz Cepa. Optimizing Scientific Workflows for HPC. Co-advised with António Sousa. Doctoral Programme in Informatics, University of Minho. (ongoing)

Nuno Matos. Adaptable I/O library for Medical Imaging Workloads. Co-advised with João Paulo. University of Minho.
Manuel Carvalho. I/O optimizations 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.
Beatriz Macedo. Medical Q&A and Treatment Recommendation Using LLMs in HPC Environments. Co-advised with António Sousa and Alícia Oliveira. University of Minho.
André Sousa. Pipeline for Medical Image Anonymisation in HPC environments. Co-advised with António Sousa and Beatriz Cepa. University of Minho.

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. Finished: 18/20
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. Finished: 19/20
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. Finished: 19/20
Gonçalo Sousa. Fault-Tolerant storage solutions for AI training in HPC. Co-advised with João Paulo, University of Minho. Finished: 18/20
André Lucena. Storage Optimizations for large-scale AI training in HPC. Co-advised with João Paulo, University of Minho. Finished: 18/20

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: 20/20
Diana Rodrigues. GPU energy control for Deep Learning systems. Co-advised with Ricardo Macedo and António Sousa, University of Minho. Finished: 19/20
Mariana Amorim. Energy control system for disaggregated storage resources. Co-advised with João Paulo and Ricardo Macedo, University of Minho. Finished: 18/20
José Fernandes. Comprehensive study of the energy impact of key-value stores. Co-advised with Ricardo Macedo and António Sousa, University of Minho. Finished: 19/20
Sara Pereira. Energy Control System for Large-Scale Infrastructures. Co-advised with Ricardo Macedo and Carlos Baquero, University of Porto. Finished: 18/20

Maria Beatriz Moreira. “I/O Optimizations for Distributed Deep Learning Training”. Co-advised with João Paulo and Ricardo Macedo. University of Minho* Finished: 18/20

Beatriz Cepa. Deep Learning for Image Generation Using HPC. Co-advised with António Sousa. University of Minho. Finished: 18/20
Beatriz Soares. A Web and Machine Learning-based DICOM Image Tool. Co-advised with António Sousa. University of Minho. Finished: 20/20
João Alves.* Cloud-based Healthcare Application with Privacy-preserving Analytics. Co-advised with António Sousa. University of Minho. Finished: 19/20

Ana Cláudia Abreu. Distributed Deep Learning Approach for Epilepsy Detection on EEG signals. Co-advised with António Sousa. University of Minho. Finished: 17/20

Margarida Machado. Distributed Deep Learning For Sleep Apnea Detection on ECG signals. Co-advised with António Sousa. University of Minho. Finished: 18/20

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.

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