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Lectured in
Portuguese
Teaching Type In person
Faculty for (2025/2026)
Director (PersonFunction)
Project Design for Data Science |
Interdisciplinary Seminar in Data Science
Ana Catarina Nunes is an Assistant Professor at ISCTE-IUL. She has a PhD in Mathematics Applied to Economics and Management, a MSc in Operations Research, and graduated in Statistics and Operations Research. She teaches quantitative methods, namely Operations Research and Optimization. She has presented communications in several conferences, and has published in scientific journals such as the European Journal of Operational Research. Her research topics are operations research (combinatorial optimization), mainly on mathematical models and heuristics for the designs of routes and sectors for real applications in delivery and collection systems. In this context, she has been a researcher in projects supported by national funding from FCT (Fundação para a Ciência e a Tecnologia) focused on the efficient resource management in environmental services related to household refuse collection.
Director (PersonFunction)
Master Dissertation in Data Science |
Interdisciplinary Seminar in Data Science |
Project Design for Data Science
Ana Maria de Almeida has a Ph.D. in Applied Mathematics, with a specialization in Computer Science. Her research interests include Algorithmics, Complexity, Machine Learning and Pattern Recognition, Data Science, Evolutionary Computation, and Ethics for AI and Research. She also has a particular interest in the construction of self-adjusting predictive and reactive models for real applications, as well as in the development of evolutionary and hybrid strategies for tackling multicriteria combinatorial problems.
She participates and has participated in fundamental and applied research projects and research & innovation projects between academia and industry, both at national as well as international levels.
Time Series Analysis and Forecasting
Diana E. Aldea Mendes is an associate professor at Department of Quantitative Methods for Management and Economics, ISCTE-IUL Lisbon, Portugal. She is a mathematician and applied scientist with broad experience in nonlinear dynamics (stochastic and deterministic), time series analysis, data science, ML and deep learning, computational economics and finance, control and synchronization. She is a researcher at BRU-IUL (Business Research Unit - University Institute of Lisbon, Portugal) and has authored or co-authored more than 40 technical papers and reports.
Text Mining for Data Science
Fernando Batista received his PhD (2011) in Computer Science and Engineering from Instituto Superior Técnico (IST). He is currently Associate Professor at Iscte - University Institute of Lisbon, and integrated researcher at INESC-ID, Lisbon. He is the Executive Coordinator of the Human Language Technologies Scientific Area at INESC-ID (2021-), and member of the Supervisory Board of CVTT - Iscte-Conhecimento e Inovação (since Apr.2021). He was President of the Pedagogical Council of ISCTE-IUL (2017-2019), member of the Permanent Committee of the Pedagogical Council of ISCTE-IUL (2015-2017), and member of the Pedagogical Committee of the ISTA School (2015-2017). He is the scientific coordinator of the AppRecommender (2019-2021) project, has coordinated the INESC-ID team in the SpeDial project (2014-2015), and participated in several other European and National projects. His current research focuses on spoken and written Natural Language Processing, Machine Learning, and Text Mining for social media. He has been member of the organisation team of the LxMLS - Lisbon Machine Learning Summer School (since 2016), and was also member of the LxMLS technical staff between (2011-2015). He has participated in the organisation of several scientific events: editorial co-chair of PROPOR 2020, editorial chair of EAMT 2020, web chair of the IPMU 2020, co-chair of the Human-Human languages track of SLATE 2019, co-chair of the demos session in PROPOR 2018, publication chair of IberSPEECH 2016, co-chair of the PROPOR 2016 Student Workshop, publication chair of IberSPEECH 2016, co-chair of the PROPOR 2016 Student Workshop, and handbook chair of EMNLP 2015. He is Senior Member of the IEEE (since 2016), and member of the ISCA Speech (since 2008).
Bayesian Modelling
Business Analytics Fundamentals
Text Mining for Data Science
Ricardo Ribeiro is an Associate Professor at Iscte - Instituto Universitário de Lisboa, since 2020, where he is the coordinator of the Artificial Intelligence scientific area and the director of the Master in Computer Engineering (previously, he was the director of the undergraduate program in Computer Engineering), and a researcher at INESC-ID Lisboa since its creation, working on Human Language Technologies.
He received a Ph.D. (2011) in Information Systems and Computer Engineering and an M.Sc. (2003) in Electrical and Computer Engineering from Instituto Superior Técnico and an undergraduate five year degree (1996) in Mathematics/Computer Science from Universidade da Beira Interior. From 1999 to 2011, he was a Lecturer at Iscte, where he was an Assistant Professor from 2011 to 2020. Since 1996, he has been a researcher at INESC/INESC-ID Lisboa, Portugal, working in speech and language processing.
He has participated in several European and Nationally-funded projects. He was the Human Language Technologies INESC-ID team coordinator in RAGE (2015-2019) European-funded project and the principal investigator of a Ministry of National Defence funded project on information extraction from text. He was also one the coordinators of the technology transfer project IRIS, a contract with the Supreme Court of Justice of Portugal.
He has participated in several scientific events, either as organiser or as member of the program committee (IJCAI, ECAI, LREC, Interspeech, ICASSP) and was the editor of a book on the computational processing of Portuguese. He has successfully co-supervised 3 Ph.D. students and more than 70 M.Sc. students.
Contacts
School of Technology and Architecture
Secreatariat
Sedas Nunes Building (Building I), room 1E07
secretariado.ista @iscte.pt
(+351) 210 464 013
9:30 - 18:00