At this moment, all vacancies for this course are filled
Lectured in
Portuguese
Teaching Type In person
Faculty for (2024/2025)
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.
Mathematical Foundations for Deep Learning
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
Cristiane Souza is PhD in Psychology (Iscte-IUL). She graduated in Psychology in 2008 and completed a transdisciplinary master's degree in Cognitive Sciences from the University of Lisbon in 2015. She has more than 10 years of professional experience (registration in Brazil, CRP-03/4782). Her experiences focus especially on teaching/management in higher education, scientific research, neuropsychological interventions and community health. She was also part of the Iscte-Health team, as Jr. Psychologist and supported management, training and development actitivies. Her doctoral research was developed in the interface between Neuropsychology, Cognitive Psychology and Cognitive Neuroscience, and focused the interaction between declarative memory systems in older adults and in autistic individuals. Cristiane is a BEC (Behaviour, emotion and cognition) research group member (Cis-IUL) and have been collaborated in teaching and mentoring activities with DPSO, Iscte-IUL. From her scientific production, stands out her peer-reviewed (Q1 and Q2) publications on neurocognitive aspects in typical developed populations, in developmental disorders, and, more recently, in the context of aging. She also contributes as an expert reviewer in important journals, as PLOS one, Behavior Research Methods, Journal of Autism and Developmental Disorders, Journal of Neurodevelopmental Disorders and Cognitive Processing. Her current interests converge on issues related to cognitive preservation in human development and on well-being and life-quality in aging and in neurodivergent development.
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
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.
Introduction to Machine Learning
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