{"id":2304,"date":"2020-04-03T20:23:10","date_gmt":"2020-04-03T19:23:10","guid":{"rendered":"http:\/\/web.ist.utl.pt\/rmch\/?page_id=2304"},"modified":"2025-12-30T10:08:26","modified_gmt":"2025-12-30T10:08:26","slug":"supervision","status":"publish","type":"page","link":"http:\/\/web.ist.utl.pt\/rmch\/research\/supervision","title":{"rendered":"supervision"},"content":{"rendered":"<h3><span style=\"color: #585858;\">Mentoring<\/span><\/h3>\n<p><span style=\"color: #ffffff;\">a<\/span><br \/>\n<strong>PhD supervision:<\/strong><\/p>\n<ol>\n<li>David Calhas, IST 80980, EEG to fMRI Synthesis <em>[concluded]<\/em><!--, PhD, Mapeamento entre modalidades de avalia\u00e7\u00e3o da neurofisiologia humana sob repouso--><\/li>\n<li>Diogo Soares, FCUL (supervised by Sara C. Madeira), Triclustering: Tackling Challenges of Temporality and Heterogeinity for Effective Solutions in Biomedicine <em>[concluded]<\/em><!--li>Pedro Rodrigues, 87696 (co-supervised by Rafael S. Costa),<\/li--><\/li>\n<li>Jo\u00e3o Apar\u00edcio, IST 97155 (co-supervised by Francisco Santos and Elisabete Ars\u00e9nio), Knowledge acquisition from dynamic multi-layered networks <em>[concluded]<\/em><\/li>\n<li>Leonardo Alexandre, IST 94054 (co-supervised by Rafael Costa), Descriptive and predictive markers from annotated tensor data<\/li>\n<li>Miguel Gar\u00e7\u00e3o Silva, FCUL (co-supervised by Sara C. Madeira), Modeling actionable spatiotemporal dynamics from heterogeneous urban data<\/li>\n<li>Daniel Gon\u00e7alves, IST 94007 (co-supervised by Rafael Costa), Glycoproteogenomics in colorectal cancer using deep learning approaches<\/li>\n<li>Andr\u00e9 Patr\u00edcio, IST 87631 (co-supervised by Rafael S. Costa), Multi-omics pattern discovery in systems oncology<\/li>\n<li>Sofia Cerqueira, IST 81200 (co-supervised by Jos\u00e9 Barateiro and Elisabete Ars\u00e9nio), Artificial intelligent solutions to aid transportation and civil engineering<\/li>\n<li>Andr\u00e9 Carneiro, IST 91013 (co-supervised by Daniel Faria), LLMs: Domain-Rich Behaviors<\/li>\n<li>Leonor Pimenta, IST 81155 (supervised by Vasco Manquinho), Anomoulous and emerging pattern discovery from spatiotemporal urban data <!--Aprendizagem de modelos associativos em dados espa\u00e7otemporais urbanos--><\/li>\n<li>Rita Moura Alexandre, NOVA Medical School (supervised by Isabel Fragata and Ray Dolan), Digital cognitive markers for early intervention in memory decline<\/li>\n<li>Han Shao, NTNU (supervised by Elisabetta Tedeschi and Hugo Morais),  Real-time analytics on high fidelity synchronized measurements <!--Aprendizagem de modelos associativos em dados espa\u00e7otemporais urbanos--><\/li>\n<\/ol>\n<p><strong>Successfully concluded MSc thesis supervisions:<\/strong><\/p>\n<ol>\n<li>Maria Beatriz Fernandes, 93298 (co-supervised by Thomas Distler), High-throughput in-silico characterization of 3D astrocyte-neuron cell cultures<\/li>\n<li>Francisco Neves, 83467 (co-supervised by Anna Finamore), Discovery of actionable patterns in road traffic [<em>Awarded Best Thesis by ULisboa-RedeMov 2021<\/em>]<!--Descoberta de padr\u00f5es emergentes no tr\u00e1fego rodovi\u00e1rio--><\/li>\n<li>Jo\u00e3o Bernardo Rodrigues, 100326 (co-supervised by Hugo Ter\u00e7as), Descriptive and Predictive Modeling of Chaos in Cold Atom Physics using Explainable Deep Learning<\/li>\n<li>Jos\u00e9 Mota, 81726, Mining temporal patterns from multivariate time series data to aid the classification of dementia profiles<!--Compreens\u00e3o da progress\u00e3o de dem\u00eancias a partir de dados multi-\u00f3micos com recurso a triclustering--><\/li>\n<li>Pedro Lindeza, 80831, Learning from heterogeneous data with block-wise missings to aid psychiatric diagnoses<!--Marcadores integrativos para apoio ao progn\u00f3stico de dist\u00farbios do foro psiqui\u00e1trico--><\/li>\n<li>Pavlo Kovalchuck, 81440 (co-supervised by Prof. Diogo Proen\u00e7a), Unsupervised concept analysis in legal documents<!--Descoberta avan\u00e7ada de associa\u00e7\u00f5es entre objectos no Di\u00e1rio da Rep\u00fablica--><\/li>\n<li>David Calhas, 80980, Schizophrenia diagnosis from electroencephalography with contrastive learning<!--Aprendizagem profunda para apoiar o diagn\u00f3stico da esquizofrenia com recurso a electroencefalografia--><\/li>\n<li>Pedro Rodrigues, 87696 (co-supervised by Rafael Costa), Local transcriptomic patterns of regulatory response to infection by SARS-CoV-2<!--Resposta regulat\u00f3ria \u00e0 infec\u00e7\u00e3o pelo SARS-CoV-2--><\/li>\n<li>Daniel Gon\u00e7alves, 94007 (co-supervised by Rafael Costa), Clinical prognosis and risk prediction of postoperative complications in cancer patients<!--Progn\u00f3stico cl\u00ednico e previs\u00e3o do risco de complica\u00e7\u00f5es p\u00f3s-cir\u00fargicas em pacientes com cancro--><\/li>\n<li>Margarida Costa, 83425 (co-supervised by Susana Vinga), Unsupervised anomaly detection in water systems using recurrent neural networks<!--Detec\u00e7\u00e3o de anomalias numa rede de distribui\u00e7\u00e3o de \u00e1gua em contextos semi-supervisionado--><\/li>\n<li>In\u00eas Leite, 81328 (co-supervised by Prof. Anna Finamore), Contextual outlier detection in traffic data<!--An\u00e1lise de dados urbanos para determina\u00e7\u00e3o de fluxos de tr\u00e1fego na cidade--><\/li>\n<li>Jos\u00e9 Diogo Castro, 84401 (co-supervised by Pedro Monteiro), Modeling of blood activity in Portugal to support sourcing and campaign decisions<!--Estudo da doa\u00e7\u00e3o e transfus\u00e3o de sangue em Portugal para apoiar gest\u00e3o de campanhas--><\/li>\n<li>Francisco Barata, 87656, Spatiotemporal patterns of emergency prevalence and response in Portugal<!--Padr\u00f5es de preval\u00eancia e resposta a emerg\u00eancias m\u00e9dicas em Portugal continental--><\/li>\n<li>Mariana Brejo, 89501 (supervised by Pedro Monteiro), Spatiotemporal patterns of blood donation and demand in Portugal<\/li>\n<li>Cl\u00e1udio Sardinha, 94082 (co-supervised by Anna Finamore), Describing and predicting demand in Lisbon\u2019s public Bike sharing system<!--Estudo e previs\u00e3o da procura na rede p\u00fablica de bicicletas de Lisboa (GIRA)--><\/li>\n<li>Susana Gomes, 94043 (co-supervised by Susana Vinga), Modeling of water distribution network dynamics using multivariate time series data<!--Estudo de causalidade numa rede de distribui\u00e7\u00e3o de \u00e1gua com recurso a s\u00e9ries temporais multivariadas--><\/li>\n<li>Carlos Lemonde Macedo, 73919 (co-supervised by Elisabete Ars\u00e9nio), Multimodal analysis of transport in the city of Lisbon<!--Sinergias multimodais no tr\u00e1fego urbano--><\/li>\n<li>Sofia Cerqueira, 81200 (co-supervised by Elisabete Ars\u00e9nio), End-to-end traffic flow analysis of public transport data in the city of Lisbon<!--Modelos para descri\u00e7\u00e3o e previs\u00e3o de fluxos na rede p\u00fablica de autocarros de Lisboa (CARRIS)--><\/li>\n<li>Ricardo Sousa, 94046 (co-supervised by Concei\u00e7\u00e3o Amado), Autonomous time series data processing on historical and real-time settings<!--Processemanto offline e online de s\u00e9ries temporais nas redes de distribui\u00e7\u00e3o de \u00e1gua--><\/li>\n<li>Mariana Carrasco, 86594 (co-supervised by Ant\u00f3nio Rito Silva), Detecting student collusion in online test environments from answer agreement<!--Canais de comunica\u00e7\u00e3o inadvertida em avalia\u00e7\u00f5es remotas--><\/li>\n<li>Rodrigo Gra\u00e7a, 81402 (co-supervised by Diogo Ferreira), Are national hospitals suitably funded according to activity, quality, access and expenses?<!--An\u00e1lise explorat\u00f3ria da rede de hospitais portugueses em prol da sustentabilidade financeira--><\/li>\n<li>Leonardo Alexandre, 94054 (co-supervised by Rafael Costa), Discriminative pattern mining in oncological data to understand surgical risk factors<!--Descoberta de padr\u00f5es em dados oncol\u00f3gicos para a compreens\u00e3o dos factores de risco p\u00f3s-cir\u00fargico--><\/li>\n<li>Rui N\u00f3brega, 87703 (supervised by Diana Prata), Neuroimage consolidation from a grid of hospitals to externally validate predictors<!--Consolida\u00e7\u00e3o de fontes heterog\u00e9neas de neuroimagem para a descoberta de marcadores neurol\u00f3gicos--><\/li>\n<li>Jo\u00e3o Palet (co-supervised by Vasco Manquinho), 87656, Context-based predictive models for medical emergencies<!--Modelos espa\u00e7otemporais de previs\u00e3o de emerg\u00eancias m\u00e9dicas sens\u00edveis aos contexto--><\/li>\n<li>Jo\u00e3o Apar\u00edcio, 97155 (co-supervised by Elisabete Ars\u00e9nio), Modeling and assessing resilience in multimodal transportation systems [<em>Awarded Best Thesis by ULisboa-RedeMov 2022<\/em>]<!--Descoberta de padr\u00f5es multimodais de mobilidade urbana com contexto situacional--><\/li>\n<li>Vasco Silva, 86525 (co-supervised by Anna Finamore), Optimizing bus networks from multimodal travel flows<!--Atualiza\u00e7\u00e3o da oferta na rede CARRIS a partir dos fluxos de desloca\u00e7\u00e3o multimodal--><\/li>\n<li>Andr\u00e9 Patr\u00edcio, 87631 (co-supervised by Rafael S. Costa), Differential regulatory response of Hodgkin\u2019s Lymphoma according to PET result<!--Resposta regulat\u00f3ria diferenciada do linfoma de Hodgkin \u00e0 progress\u00e3o do tumor e atua\u00e7\u00e3o de f\u00e1rmacos--><\/li>\n<li>Pedro Caldeira, 81888 (co-supervised by Ant\u00f3nio Rito Silva), Fraud detection in multiple choice exams from question answer times<!--Detec\u00e7\u00e3o de fraude em exames de escolha m\u00faltipla--><\/li>\n<li>Eduardo Machado, 97133, Chatbot decision support in adaptive, domain-guided, and sentiment-rich settings<\/li>\n<li> Miguel Moreira, 95643 (co-supervised by Guilherme Ramos), Mapping the Spatial Distribution of Neurotransmission Markers using Postmortem Cohorts<\/li>\n<li>Jos\u00e9 Pedro Antunes, 96260 (co-supervised by Elisabete Ars\u00e9nio) Data-centric models for the sustainable development of the multimodal Sines-Madrid transport corridor<\/li>\n<li>David Belchior, 95550 (co-supervised by Lu\u00eds Madeira), Inappropriate prescription of psychotropic drugs from PEM: tackling challenges of polypharmacy and dependence<\/li>\n<li> Alexandra Pestana Rodrigues, 95528 (co-supervised by Daniel Faria), Predicting Transcriptional Signatures in the Brain from Molecular Screens Of Peripheral Tissues<\/li>\n<li>Miguel Dauphinet Barros, 102184 (co-supervised by Pedro Monteiro), Context-aware forecasting of blood donation and demand for efficient nationwide management of blood products<\/li>\n<li>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<\/li>\n<\/ol>\n<p><strong>Other concluded supervisions:<\/strong><\/p>\n<ol>\n<li>Anna Finamore, 68340 (PosDoc), Generative models for descriptive and predictive urban data analytics<\/li>\n<li>Thomas James Tiam-Lee, 10844 (PosDoc), Spatiotemporal data mining for knowledge extraction in urban data domains<\/li>\n<li>Marta Bubicz, 82297 (PosDoc), Resilient and sustainable (environmentally and socially) transport systems in the post-pandemic era<\/li>\n<li>Jo\u00e3o Matos Rei, 100328 (co-supervised by Hugo Ter\u00e7as and Pedro Cosme), Describing chaos dynamics in cold atoms using Artificial Intelligence<\/li>\n<li>Margarida Clem\u00eancio Loureiro, 103732, Pedictive value of different peripheral tissues to estimate transcriptomic markers in the brain<\/li>\n<li>Duarte Fernandes, 102723 (co-supervised by David Calhas), Graph neural network learning for knowledge-supported prediction of neuromarkers<\/li>\n<li>Ana Santos, 84364, Associative study between GIRA bicycle sharing demand and the spatial and weather context sources<\/li>\n<li>Duarte Ghira, 96372, Representation learning of full electronic medical health records at LUZ hospital<\/li>\n<li>Joana Coutinho, 87666, Spatiotemporal indices to capture vulnerabilities in INEM&#8217;s response to medical emergencies<\/li>\n<li>Catarina Marques, 100465, Dimensioning interaction risks in nationally co-prescribed psychotropic drugs<\/li>\n<li>Tom\u00e1s Reis Venda, 103139, Multi-task learning of neurotranscriptomic targets involved in the regulation of neurotransmission systems<\/li>\n<li> Athilesh Arputham and Anirudh Arputham, A comprehensive and pedagogic survey on open source tools for user-friendly time series data analysis<\/li>\n<\/ol>\n<p><strong>Ongoing MSc thesis:<\/strong><\/p>\n<ol>\n<li>Jessica Ramgi, 75619, Discriminative brain signal patterning in psychosis<!--Compreens\u00e3o avan\u00e7ada de padr\u00f5es cerebrais para apoio \u00e0 neuroplasticidade--><\/li>\n<li>Bernardo Cordeiro, 78778 (co-supervised by Alexandre Francisco), Integrative markers to support neurodegenerative disease prognostic<!--Marcadores integrativos para apoio ao progn\u00f3stico de doen\u00e7as neurodegenerativas--><\/li>\n<li>Maria Jo\u00e3o Rosa, 102506 (co-supervised by Elisabete Ars\u00e9nio), Advanced Optimization of Shared Micromobility Systems for Smart Urban Mobility<\/li>\n<li>Diogo Dias Pires, 99475 (co-supervised by Pedro Monteiro), Descriptive and predictive modeling of blood activity in Portugal: what has changed since COVID-19?<\/li>\n<li>Maria In\u00eas Trigueiro, 102902, Responsible reconciliation of psychotropic drug regimens: learning from the decade-long registry of e-prescriptions in Portugal<\/li>\n<li>Mariana Leite de Carvalho, 102956 (co-supervised by Daniel Faria), Actionable Screening of Psychotropic Polypharmacy Risks in Portugal<\/li>\n<li>Maria Leonor de Carvalho, 99623 (co-supervised by Daniel Faria), Underexplored Epigenomic Signatures in Disease Marking: Can AI Distinguish Causes from Consequences?<\/li>\n<li>Margarida Loureiro, 103732 (co-supervised by Rafael Costa), Frailty Risk Prediction for Preventive Geriatric Health in Portugal<\/li>\n<li>Rodrigo Marramaque, 105799 (supervised by Ant\u00f3nio Andrade), Designing urban mobility networks: a case study in Lisbon Metropolitan Area<\/li>\n<li>Pedro Marques de Freitas, 103168 (co-supervised by Pedro Monteiro), Portal for context-aware analytics of blood management in Portuguese hospitals<\/li>\n<li>David Mello, 89196 (co-supervised by Rafael S. Costa), Actionable Pattern Discovery in Proteomic Data<\/li>\n<li>Phillipe Sim\u00f5es, Univ. Coimbra (supervised by Pedro Abreu), Analysis in Breast Cancer Patients with Brain Metastasis<\/li>\n<li>Francisca Leite, 38293 (co-supervised by Jos\u00e9 Moreira), Exploring the Impact of Future Self-Perception on Healthcare Decision-Making<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Mentoring a 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] Jo\u00e3o Apar\u00edcio, IST 97155 (co-supervised by Francisco Santos and Elisabete Ars\u00e9nio), Knowledge acquisition from dynamic multi-layered networks [concluded] Leonardo Alexandre, IST [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1427,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2304","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/2304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/comments?post=2304"}],"version-history":[{"count":76,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/2304\/revisions"}],"predecessor-version":[{"id":2736,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/2304\/revisions\/2736"}],"up":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1427"}],"wp:attachment":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/media?parent=2304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}