
João Manuel Portela da Gama
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 and EurIA Fellow.
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.
Projects
Publications
Progress in Artificial Intelligence
Oliveira, E;Gama, J;Vale, Z;Lopes Cardoso, H;
2017
Lecture Notes in Computer Science
Deep Neural Network Model Compression and Signal Processing
Ukil, A;Majumdar, A;Jara, AJ;Gama, J;
2024
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Workshops, Seoul, Republic of Korea, April 14-19, 2024
AI's effect on innovation capacity in the context of industry 5.0: a scoping review
Bécue, A;Gama, J;Brito, PQ;
2024
ARTIFICIAL INTELLIGENCE REVIEW
Towards Evaluation of Explainable Artificial Intelligence in Streaming Data
Mozolewski, M;Bobek, S;Ribeiro, P;Nalepa, J;Gama, J;
2024
Communications in Computer and Information Science
Supervised theses
An interactive and digital puppeteering interface for new musical expression (IDPI)
Hibiki Mukai
UP-FEUP