
João Gama
Research Coordinator
João Gama is a Full Professor at the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He is a IEEE Fellow, EurIA Fellow, and member of the Academia de Ciências de Lisboa.
He has worked on several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He served as Co-Program chair of ECML'2005, DS'2009, ADMA'2009, IDA' 2011, ECMLPKDD'2015, and ECMLPKDD 2025. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD. He is the author of several books on Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas related to machine learning, data mining, and data streams. He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He (co-)supervised more than 12 PhD students and 50 MSc students.
Domains
Publications
Anomaly Detection in Pet Behavioural Data
Silva, I;Ribeiro, RP;Gama, J;
2025
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II
Data Science for Fighting Environmental Crime
Barbosa, M;Ribeiro, C;Gomes, F;Ribeiro, RP;Gama, J;
2025
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II
Fairness Analysis in Causal Models: An Application to Public Procurement
Teixeira, S;Nogueira, AR;Gama, J;
2025
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II
Recent Advances in Learning from Data Streams
Gama, J;
2024
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2024, Volume 1: KDIR, Porto, Portugal, November 17-19, 2024.
Supervised Theses
Massive Scale Streaming Graphs: Evolving Network Analysis and Mining
Shazia Tabassum
D - 2019
UP-FEUP
Trustability in data-driven decision models for Public Policy
Sónia Alexandra Carvalho Teixeira
D - 2019
UP-FEUP
Use of CRM in Sales Management
Luís Manuel Cardoso Morujão
M - 2019
UP-FEP
The Microblogging effect on stock market: forecasting trading volume and short term abnormal re turns using sentiment analysis
Pedro Tiago Pombinho Alvarilhão
M - 2019
UP-FEP


