Mentoring
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PhD supervision:
- David Calhas, IST 80980, EEG to fMRI Synthesis [concluded]
- Diogo Soares, FCUL (supervised by Sara C. Madeira), Triclustering: Tackling Challenges of Temporality and Heterogeinity for Effective Solutions in Biomedicine [concluded]
- João Aparício, IST 97155 (co-supervised by Francisco Santos and Elisabete Arsénio), Knowledge acquisition from dynamic multi-layered networks
- Leonardo Alexandre, IST 94054 (co-supervised by Rafael Costa), Descriptive and predictive markers from annotated tensor data
- Miguel Garção Silva, FCUL (co-supervised by Sara C. Madeira), Modeling actionable spatiotemporal dynamics from heterogeneous urban data
- Daniel Gonçalves, IST 94007 (co-supervised by Rafael Costa), Glycoproteogenomics in colorectal cancer using deep learning approaches
- André Patrício, IST 87631 (co-supervised by Rafael S. Costa), Multi-omics pattern discovery in systems oncology
- Sofia Cerqueira, IST 81200 (co-supervised by José Barateiro and Elisabete Arsénio), Artificial intelligent solutions to aid transportation and civil engineering
- Leonor Pimenta, IST 81155 (supervised by Vasco Manquinho), Anomoulous and emerging pattern discovery from spatiotemporal urban data
- Rita Moura Alexandre, NOVA Medical School (supervised by Isabel Fragata and Ray Dolan), Digital cognitive markers for early intervention in memory decline
- Han Shao, NTNU (supervised by Elisabetta Tedeschi and Hugo Morais), Real-time analytics on high fidelity synchronized measurements
Successfully concluded MSc thesis supervisions:
- José Mota, 81726, Mining temporal patterns from multivariate time series data to aid the classification of dementia profiles
- Francisco Neves, 83467 (co-supervised by Anna Finamore), Discovery of actionable patterns in road traffic [Awarded Best Thesis by ULisboa-RedeMov 2021]
- Pedro Lindeza, 80831, Learning from heterogeneous data with block-wise missings to aid psychiatric diagnoses
- Pavlo Kovalchuck, 81440 (co-supervised by Prof. Diogo Proença), Unsupervised concept analysis in legal documents
- David Calhas, 80980, Schizophrenia diagnosis from electroencephalography with contrastive learning
- Pedro Rodrigues, 87696 (co-supervised by Rafael Costa), Local transcriptomic patterns of regulatory response to infection by SARS-CoV-2
- Daniel Gonçalves, 94007 (co-supervised by Rafael Costa), Clinical prognosis and risk prediction of postoperative complications in cancer patients
- Margarida Costa, 83425 (co-supervised by Susana Vinga), Unsupervised anomaly detection in water systems using recurrent neural networks
- Inês Leite, 81328 (co-supervised by Prof. Anna Finamore), Contextual outlier detection in traffic data
- José Diogo Castro, 84401 (co-supervised by Pedro Monteiro), Modeling of blood activity in Portugal to support sourcing and campaign decisions
- Francisco Barata, 87656, Spatiotemporal patterns of emergency prevalence and response in Portugal
- Mariana Brejo, 89501 (supervised by Pedro Monteiro), Spatiotemporal patterns of blood donation and demand in Portugal
- Cláudio Sardinha, 94082 (co-supervised by Anna Finamore), Describing and predicting demand in Lisbon’s public Bike sharing system
- Susana Gomes, 94043 (co-supervised by Susana Vinga), Modeling of water distribution network dynamics using multivariate time series data
- Carlos Lemonde Macedo, 73919 (co-supervised by Elisabete Arsénio), Multimodal analysis of transport in the city of Lisbon
- Sofia Cerqueira, 81200 (co-supervised by Elisabete Arsénio), End-to-end traffic flow analysis of public transport data in the city of Lisbon
- Ricardo Sousa, 94046 (co-supervised by Conceição Amado), Autonomous time series data processing on historical and real-time settings
- Mariana Carrasco, 86594 (co-supervised by António Rito Silva), Detecting student collusion in online test environments from answer agreement
- Rodrigo Graça, 81402 (co-supervised by Diogo Ferreira), Are national hospitals suitably funded according to activity, quality, access and expenses?
- Leonardo Alexandre, 94054 (co-supervised by Rafael Costa), Discriminative pattern mining in oncological data to understand surgical risk factors
- Rui Nóbrega, 87703 (supervised by Diana Prata), Neuroimage consolidation from a grid of hospitals to externally validate predictors
- João Palet (co-supervised by Vasco Manquinho), 87656, Context-based predictive models for medical emergencies
- João Aparício, 97155 (co-supervised by Elisabete Arsénio), Modeling and assessing resilience in multimodal transportation systems [Awarded Best Thesis by ULisboa-RedeMov 2022]
- Vasco Silva, 86525 (co-supervised by Anna Finamore), Optimizing bus networks from multimodal travel flows
- André Patrício, 87631 (co-supervised by Rafael S. Costa), Differential regulatory response of Hodgkin’s Lymphoma according to PET result
- Pedro Caldeira, 81888 (co-supervised by António Rito Silva), Fraud detection in multiple choice exams from question answer times
- Eduardo Machado, 97133, Chatbot decision support in adaptive, domain-guided, and sentiment-rich settings
- Miguel Moreira, 95643 (co-supervised by Guilherme Ramos), Mapping the Spatial Distribution of Neurotransmission Markers using Postmortem Cohorts
- David Belchior, 95550 (co-supervised by Luís Madeira), Inappropriate prescription of psychotropic drugs from PEM: tackling challenges of polypharmacy and dependence
- Alexandra Pestana Rodrigues, 95528 (co-supervised by Daniel Faria), Predicting Transcriptional Signatures in the Brain from Molecular Screens Of Peripheral Tissues
- Miguel Dauphinet Barros, 102184 (co-supervised by Pedro Monteiro), Context-aware forecasting of blood donation and demand for efficient nationwide management of blood products
Other concluded supervisions:
- Anna Finamore, 68340 (PosDoc), Generative models for descriptive and predictive urban data analytics
- Thomas James Tiam-Lee, 10844 (PosDoc), Spatiotemporal data mining for knowledge extraction in urban data domains
- Marta Bubicz, 82297 (PosDoc), Resilient and sustainable (environmentally and socially) transport systems in the post-pandemic era
- João Matos Rei, 100328 (co-supervised by Hugo Terças and Pedro Cosme), Describing chaos dynamics in cold atoms using Artificial Intelligence
- Margarida Clemêncio Loureiro, 103732, Pedictive value of different peripheral tissues to estimate transcriptomic markers in the brain
- Duarte Fernandes, 102723 (co-supervised by David Calhas), Graph neural network learning for knowledge-supported prediction of neuromarkers
- Ana Santos, 84364, Associative study between GIRA bicycle sharing demand and the spatial and weather context sources
- Duarte Ghira, 96372, Representation learning of full electronic medical health records at LUZ hospital/li>
- Joana Coutinho, 87666, Spatiotemporal indices to capture vulnerabilities in INEM’s response to medical emergencies
- Catarina Marques, 100465, Dimensioning interaction risks in nationally co-prescribed psychotropic drugs
- Tomás Reis Venda, 103139, Multi-task learning of neurotranscriptomic targets involved in the regulation of neurotransmission systems
- Athilesh Arputham and Anirudh Arputham, A comprehensive and pedagogic survey on open source tools for user-friendly time series data analysis
Ongoing MSc thesis:
- Maria Beatriz Fernandes, 93298 (co-supervised by Thomas Distler), High-throughput in-silico characterization of 3D astrocyte-neuron cell cultures
- Jessica Ramgi, 75619, Discriminative brain signal patterning in psychosis
- Bernardo Cordeiro, 78778 (co-supervised by Alexandre Francisco), Integrative markers to support neurodegenerative disease prognostic
- Henrique Duarte Anjos, 99081 (co-supervised Rafael Costa) ECG-informed prediction of structural heart disease risk at primary care level using a large Portuguese cohort
- João Bernardo Rodrigues, 100326 (co-supervised by Hugo Terças), Descriptive and Predictive Modeling of Chaos in Cold Atom Physics using Explainable Deep Learning
- José Pedro Antunes, 96260 (co-supervised by Elisabete Arsénio) Data-centric models for the sustainable development of the multimodal Sines-Madrid transport corridor
- Rodrigo Marramaque, 105799 (supervised by António Andrade), Designing urban mobility networks: a case study in Lisbon Metropolitan Area
- David Mello, 89196 (co-supervised by Rafael S. Costa), Actionable Pattern Discovery in Proteomic Data
- Phillipe Simões, Univ. Coimbra (supervised by Pedro Abreu), Analysis in Breast Cancer Patients with Brain Metastasis
- Francisca Leite, 38293 (co-supervised by José Moreira), Exploring the Impact of Future Self-Perception on Healthcare Decision-Making