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Paulo Adeodato

Program Year : 
Fellow Type: 
Visiting Scholar
Academic Degree: 
Ph.D. in Mathematics
Previous Education: 
Ph.D. in Mathematics - King's College London - University of London (1997)
M.Sc. in Computer Science - Centro de Informática - UFPE (1991)
B.Sc. in Electronics Engineering - Departamento de Engenharia Eletrônica e Sistemas - UFPE (1982)
Associated University in Brazil: 
Universidade Federal de Pernambuco (UFPE)
Current Position: 

Prof. Adeodato has an uncommon profile and over 30 years of professional experience. He mixes features of a broadband academic researcher with those of an entrepreneur / businessman. Academically, he has been a Professor at Centro de Informática - UFPE for the last 20 years engaged in research on Decision Support Systems, Data Mining and Knowledge Engineering. In business, Paulo is Founder and Partner of NeuroTech S.A. involved in high-tech entrepreneurship, innovation and strategic planning and was founder also of AI-Leader (Intelligent Character Recognition applications). He is currently a visiting scholar at Stanford University in the Graduate School of Education developing approaches for large scale data analytics on open access data sources. He got his B.Sc. degree in Electronics Engineering (1982), his MBA in Production Engineering (1989), his M.Sc. in computer Science (1991) all at UFPE and his Ph.D. in Mathematics (1997) at King´s College London. Paulo started his career as Production Engineer at DigiRede (Leading Computer Manufacturer in Brazil) and evolved to become Quality Manager. Later, he worked as Telecom Consultant at CHESF (Power generation) and, after his Ph.D., became a Professor at UFPE (1997). He has published dozens of journal and conference papers on data mining and time series forecasting and supervised 18 MSc dissertations and 7 PhD theses. Much of his recent research has been motivated by social applications mostly in Education, involving not only data mining solutions but also theoretical advances to the field. On the competition side, he has organized the PAKDD Competitions in Bangkok (2009) and Hyderabad (2010) and BRICS-CCI in Porto de Galinhas (2013) and was a competitor in some others, having won the 2nd place in PAKDD 2007 (data mining), 2nd place in NN3 in 2007 and 1st place winner in ICTSF in 2012 in Madrid, the last two in time series forecasting. Paulo has created the first course data mining course in Brazil back in 1999, has developed with his team over 400 data mining solutions for actual applications, having over 100 of them been deployed in companies around Brazil. He has concluded a successful Canadian-Brazilian research project involving NeuroTech, CIn-UFPE, Dalhousie University and GSTS Company for developing an Intelligent Vessel Traffic Monitoring System for the international market. He has also coordinated and participated in around 10 other sponsored data mining projects in energy, finances and auditing applications. He is a member of the IT Strategic Committee of the American Chamber of Commerce in the state of Pernambuco and has been a committee member of the TECNOVA program for funding innovation in Brazilian state agencies. He has also been invited to give talks on high-tech innovation in several Brazilian universities and for IEEE in Silicon Valley in 2016. He is a member of the IEEE Industry Liaison Committee and is currently Industry Liaison Chair of the World Congress on Computational Intelligence (WCCI 2018). At UFPE, Paulo is a member of the Student Retention and Evasion Committee contributing to the university's educational policies.

Research Interests: 
School quality assessment
Policy validation
Data mining on education