Roberto Henriques. Completed the Título de Agregado in Agregação em Gestão de Informação in 2024/07/05 by Universidade Nova de Lisboa, Doutoramento in Gestão de Informação in 2010 by Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Doutoramento in Gestão de Informação in 2007 by Universidade NOVA de Lisboa NOVA Information Management School, Mestrado in MS in Geographic Information Science and Systems in 2006 by Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação and Licenciatura in Biophysics Engineering in 2002 by Universidade de Évora. Is Associate Professor in Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação. Published 67 articles in journals. Has 5 section(s) of books and 8 book(s). Supervised 8 PhD thesis(es). Supervised 118 MSc dissertation(s). Participates and/or participated as Co-Principal Investigator (Co-PI) in 4 project(s), Principal investigator in 1 project(s) and Researcher in 4 project(s). Works in the area(s) of Exact Sciences with emphasis on Computer and Information Sciences. In their professional activities interacted with 1762 collaborator(s) co-authorship of scientific papers. In his curriculum Ciência Vitae the most frequent terms in the context of scientific, technological and artistic-cultural output are: Police Stations; Optimization; Genetic Algorithms; AZP-SA; Service Areas; Districting; Neural networks; Baseball; Classification Model; Data Mining; Machine Learning; MLB; Predictive Analysis; Software; Machine learning algorithms; Artificial Neural Networks; Lasso; Ridge; Elastic Net; Computer Science(all); General; Functional principal component analysis; Human activity; Multitype spatial point patterns; Negative binomial regression; Spatio-temporal statistics; Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Management, Monitoring, Policy and Law; Acceleration; Detection; Driving performance; Extended Motif Discovery; Road safety; Sensors; Human Factors and Ergonomics; Safety, Risk, Reliability and Quality; Public Health, Environmental and Occupational Health; Academic Success; Student Success; Educational Data Mining; Driving behaviors; Motif discovery; Time-series; Engineering(all); Computer Science Applications; Artificial Intelligence; SDG 3 - Good Health and Well-being; Traditional risk factors; genetic risk score; events risk discrimination and reclassification; Net Reclassification Index; secondary prevention of coronary artery disease; Epicardial adipose tissue; Genetic Risk Score; atherosclerosis; cardiovascular risk factors; genetic polymorphisms; Natural Language Processing (NLP); Patent classification; Transfer Learning; Bi-directional Encoder Representations for Transformers (BERT); Design Thinking; SDG 16 - Peace, Justice and Strong Institutions; Cisto dermoide; Cisto Epidérmico; Queratina; Dermoid Cyst; Epidermal Cyst; Keratins; Knowledge discovery; Higher education; Higher education institutions; Self-organizing map; SDG 7 - Affordable and Clean Energy; Atlanta International Airport; Flight Delays; Hartsfield-Jackson International Airport; Self-Organizing Map; Football; Data mining; Movie profitability; Box office profit; Predictive analysis; Decision tree; Regression; Gated recurrent units; Natural language processing; Recursive neural network; Sentiment classification; Mineração de texto; Clustering de documentos; Analítica Visual; Inteligência Competitiva; Jogos Online; Aprendizagem Profunda; Big Data; Séries Temporais; Dinâmica e Agregação Espacial; Prospetiva e Planeamento; Segurança; Politicas Publicas; Learning Analytics,; Student performance; Learning Analytics; Neisseria meningitidis; Carbohydrates; Structural glycobiology; Vaccines; Alzheimer disease; LTP; RhoGTPase; Memory; Tyrosine kinase; Classification model; Machine learning; Mathematics(all); E-learning; Apis mellifera; Subspecies; Varroa destructor; Wild bees; Feral b