At this moment, all vacancies for this course are filled
Lectured in
Portuguese
Teaching Type In person
Faculty for (2025/2026)
Director (PersonFunction)
Master Dissertation in Artificial Intelligence |
Applied Artificial Intelligence Project
Luís Miguel Martins Nunes, graduated in Computer Science from Faculdade Ciências da Universidade de Lisboa (1993), obtained a MSc degree in Electrical and Computer Engineering from Instituto Superior Técnico, Universidade Técnica de Lisboa (1997, thesis supervised by Prof. Luís Borges de Almeida) and a PhD degree in Computer Science Engineering from the Faculdade de Engenharia da Universidade do Porto (2006, thesis supervised by Prof. Eugénio de Oliveira). Entered in Iscte in 1997 as Teaching Assistant and is currently Associated Professor. Has also contributed as a researcher in the area of Machine Learning in several research units since 1997 (INESC, ADETTI, LIACC, IT and ISTAR) remaining a member of ISTAR to this date.
Sub-director (PersonFunction)
Mathematical Foundations for Deep Learning
Knowledge and Reasoning in Artificial Intelligence |
Societal Artificial Intelligence
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.
Computational Optimization
Advanced Machine Learning
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).
Introduction to Machine Learning
Francisco José Rosales Santana Guimarães has a degree in Computer Science from the Faculty of Sciences of Lisbon, University of Lisbon (1993), a postgraduate degree in eBusiness from the Superior Institute of Economics and Management (2001), a master's degree in information systems from ISCTE (2006), Postgraduate in Graphic Expression, Color and Image from Universidade Aberta (2006), PhD in Digital Media Art at Universidade do Algarve and Universidade Aberta (2018) and PhD in Enterprise Intelligence at Universidade de Évora (2018). It also has PMI/PMP and ISACA/CGEIT certifications, in addition to advanced certification in Banking Management by the Instituto de Formação Bancária. He is visiting professor at ISCAC in Project Management and Audit since 2013 and visiting professor at ISCTE in Design and Development of Information Systems since 2020. He is president of ISACA Lisbon Chapter 2020-2022. He also has extensive professional experience in the areas of Systems Architecture, Enterprise Architectures, Artifical Intelligence, Business Intelligence and IT Governance & Management.
Knowledge and Reasoning in Artificial Intelligence
Isabel Machado Alexandre is an accomplished academic and researcher. She holds a PhD in Computer Studies from the University of Leeds and has been a faculty member at the Instituto Universitário de Lisboa (ISCTE) since 2000, where she teaches in the areas of Information Systems, Human-Computer Interaction, and Artificial Intelligence. Her research focuses on AI applications in health and education, and she has led numerous national and international projects, including COST Actions and initiatives like MEM+ for people with Alzheimer.
With over 60 publications, including journal articles, book chapters, and conference papers, she has made significant contributions to her field. She has also held leadership roles, such as Director of the IT-IUL research unit and Coordinator of the Information Technology group. Her teaching excellence is reflected in consistently high student evaluations, and she has supervised multiple master's and doctoral theses.
Her work extends to university management, curriculum development, and promoting scientific culture, demonstrating a strong commitment to academia and research.
Mathematical Methods in Machine Learning
J. Rocha is a theoretical physicist with broad interests spanning gravitation, high-energy physics and mathematical physics. His research focuses on the study of black holes and other solutions of General Relativity, and extensions thereof. He obtained a PhD degree in Physics from University of California, Santa Barbara (UCSB) in 2008, under the supervision of Prof. Joseph Polchinski. He earned his pre-Bologna bachelor degree in Technological Physics Engineering, in 2002, from Instituto Superior Técnico (IST), University of Lisbon. He is currently an Assistant Professor of the Department of Mathematics at ISCTE-IUL. Between 2015 and 2019 he worked as a research post-doc fellow at Universitat de Barcelona.
In total, J. Rocha has published 30+ original articles in top international peer-reviewed journals. He has vast experience in oral presentations (20+ invited seminars at various institutes in the USA, UK, Belgium, Japan, Brazil, Spain and Portugal; 30+ oral communications at international conferences). He regularly engages in outreach activities.
J. Rocha organized 6 scientific meetings, among which four were international conferences/workshops. He supervised 1 Master thesis, and co-supervised one PhD student and another Master student. He was a member of the examination committee of 2 PhD students and 4 Master students. He is the recipient of 5 prizes and awards, including a Marie Sklodowska-Curie individual fellowship. He is a member of Sociedade Portuguesa de Relatividade e Gravitação.
Cognition & Emotion
Nuno Alexandre De Sá Teixeira. Obtained his PhD in Experimental Psychology by the University of Coimbra in 2011. Researcher at the William James Research Center, at the University of Aveiro. His research interests include Visual Perception, Visual Space Perception, Space and Time Perception, Eye Movements, Multissensory Integration, Vestibular Function, Perception of Gravity, Human Factors, Internal Models, Perception-for-action, Perception of Causality, Dynamical Representations, Naïve Physics, Event Perception, Measurement Theory, Psychophysics.
Advanced Machine Learning
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