SLSNA

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.

I am a Lecturer at the Department of Informatics at the University of Minho. I am also a researcher at HASLab/INESC TEC. My research interest focus mainly on machine learning and data mining. Occasionally, I participate in Bioinformatics research projects involving analysis of molecular dynamic simulations of protein folding/unfolding.

 I hold a PhD in Computing from Imperial College (University of London) where I did research in logic programming. I have been working on the development of association rules mining algorithms and novel patterns to capture distribution learning. I also have interest in social network analysis, graph mining, subgroup mining and motif discovery in time series.