Main Speakers



Alberto Paccanaro - Photo

Alberto Paccanaro

Alberto Paccanaro is full Professor in Machine Learning and Computational Biology in the Department of Computer Science at Royal Holloway University of London, where he is also Director of the Centre for Systems and Synthetic Biology. He completed his undergraduate studies in Computer Science at the University of Milan and received his PhD from the University of Toronto in 2002, specializing in machine learning under the supervision of Geoffrey Hinton. From 2002 to 2006, he was a postdoc in Mansoor Saqi’s lab at Queen Mary University of London and then in Mark Gerstein’s lab at Yale University. His research interests are in applying and developing machine learning algorithms for solving problems in molecular biology and medicine..


Ling Liu - Photo

Ling Liu

Prof. Dr. Ling Liu is a Professor in the College of Computing at Georgia Institute of Technology and an elected IEEE Fellow. She directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining performance, availability, security, privacy, trust, data mining, and data management issues in big data systems, cloud computing, distributed computing systems and big data powered deep learning sysems. Prof. Liu and the DiSL research group have been working on various aspects of distributed data intensive systems, ranging from Big Data systems and data analytics, Cloud Computing and cloud datacenters, distributed systems, decentralized and social computing, mobile and location based services, sensor network and event stream processing, to service oriented computing and architectures. She has published over 300 international journal and conference articles. Her research group has produced a number of open source software systems, among which the most popular ones include WebCQ, XWRAPElite, PeerCrawl, GTMobSIM, and SHAPE. Prof. Dr. Liu is a recipient of IEEE Computer Society Technical Achievement Award (2012) and an Outstanding Doctoral Thesis Advisor award from Georgia Institute of Technology in 2012. She has published over 300 international journal and conference articles and is a recipient of the best paper award from numerous top venues, including ICDCS 2003, WWW 2004, 2005 Pat Goldberg Memorial Best Paper Award, IEEE Cloud 2012, IEEE ICWS 2013, Mobiqutious 2014, APWeb 2015, IEEE/ACM CCGrid 2015, IEEE Symposium on Big Data 2016, IEEE Edge 2017 and IEEE IoT 2017. Prof. Dr. Ling Liu has served as a general chair or a PC chair of numerous IEEE and ACM conferences in data engineering, very large databasesBig data, and distributed computing fields, and most recently, the PC chair of IEEE ICDCS 2017 and a co-PC chair of IEEE 2016 Big Data Conference. Prof. Liu has been on editorial board of over a dozen international journals, and served as the Editor In Chief of IEEE Transactions on Service Computing (2013-2016). Prof. Dr. Liu’s current research is primarily sponsored by NSF, IBM, and Intel.


Zhangyang - Photo

Zhangyang (Atlas) Wang

Dr. Zhangyang (Atlas) Wang is an Assistant Professor of Computer Science and Engineering (CSE), at the Texas A&M University (TAMU). During 2012-2016, he was a Ph.D. student in the Electrical and Computer Engineering (ECE) Department, at the University of Illinois at Urbana-Champaign (UIUC), working with Professor Thomas S. Huang. Prior to that, he obtained the B.E. degree at the University of Science and Technology of China (USTC), in 2012. He was a former research intern with Microsoft Research (summer 2015), Adobe Research (summer 2014), and US Army Research Lab (summer 2013). Dr. Wang’s research has been addressing machine learning, computer vision and multimedia signal processing problems, as well as their interdisciplinary applications, using advanced feature learning and optimization techniques. He has co-authored over 40 papers, and published several books and chapters. He has been granted 3 patents, and has received around 20 research awards and scholarships. He served as a guest editor for IEEE TNNLS and EURASIP JASP/JBSB; an Area Chair for WACV 2019 and ICIP 2017; a TPC co-chair for ICCV AMFG 2017; a special session co-chair for VCIP 2017; a tutorial organizer/speaker in SIAM IS 2018, CVPR 2017 and ECCV 2016; a workshop organizer in IEEE FG, IJCAI and SDM; and a regular reviewer or TPC member for over 40 top journals and conferences. His research has been covered by worldwide media, such as BBC, Fortune, International Business Times, TAMU news, and UIUC news & alumni magazine. More could be found at:


Manish Parashar - Photo

Manish Parashar

Manish Parashar is on an IPA and currently serving a Office Director of the Office of Advanced Cyberinfrastructure (OAC) at the National Science Foundation (NSF)
Manish Parashar is Distinguished Professor of Computer Science at Rutgers, The State University of New Jersey University. He is also the founding Director of the Rutgers Discovery Informatics Institute (RDI2) and The Applied Software Systems Laboratory (TASSL), Full Member (Clinical Investigations and Precision Therapeutics Program) of the Rutgers Cancer Institute of New Jersey, and is Associate Director at the Rutgers Center for Information Assurance (RUCIA). He is also Visiting Professor in the Faculty of Business, Computing & Law at University of Derby, UK. He is the Lead PI for Cyberinfrastructure for the NSF Ocean Observatories Initiative. At Rutgers, he co-led (with Prof. H. Berman) the strategic planning efforts in Research Computing and served as the Interim Associate Vice President of Research Computing between 2015 – 2016 to oversee the establishment of the Rutgers Office of Advanced Research Computing (OARC). He also co-founded and was Co-Director of the Cloud and Autonomic Computing Center (CAC) NSF IUCRC at Rutgers (CAC@Rutgers) between 2008 and 2013. Between 2009 — 2011, he served as Program Director in the Office of Cyberinfrastructure (OCI) (now called Office of Advanced Cyberinfrastructure — OAC) at the National Science Foundation (NSF), where he managed an approximately $150 Million research portfolio in the areas of software sustainability, computational and data-enabled science and engineering and cloud computing. At NSF, he established and led the crosscutting Software Infrastructure for Sustained Innovation (SI2) program, the CI TraCS Computational Science Fellowship programs, was involved in establishing the Computing in the Cloud (CiC) program, and worked on the NSF-wide Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) initiative. His research interests are in the broad area of Parallel and Distributed Computing with a focus on Computational and Data-Enabled Science and Engineering. Manish has held a visiting position at the eScience Institute at Edinburgh, UK (2009-2010), and a joint research appointment with the Center for Subsurface Modeling, The University of Texas at Austin (1996-2006). He has also been a visiting fellow at the Department of Computer Science and DOE ASCI/ASAP Center, California Institute of Technology (2000-2001), at the DOE ASCI/ASAP FLASH Center, University of Chicago (1998), and at the Max-Plank Institute in Potsdam, Germany (1994-1998). Manish has received several awards for his research, publications and service. He was elected to IEEE Computer Society’s Golden Core in 2016. He is a Fellow of AAAS, Fellow of IEEE / IEEE Computer Society, and ACM Distinguished Scientist.He received a 2013 R & D 100 Award (with ORNL and GT), Peter D. Cherasia Faculty Scholar Award from the Rutgers School of Engineering (2014 – 2017), IBM Faculty Awards in 2008 and 2010, the Tewkesbury Fellowship from University of Melbourne, Australia (2006), the Rutgers Board of Trustees Award for Excellence in Research (The Award) (2004-2005), the NSF CAREER Award (1999), TICAM (now ICES) (University of Texas at Austin) Distinguished Fellowship (1999-2001), and the Enrico Fermi Scholarship, Argonne National Laboratory (1996). He also received Outstanding Service Awards from IEEE Computer Society Technical Committee on Parallel Processing (TCPP) in 2009, 2010, 2011 and 2017, and Outstanding Leadership Awards form the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) in 2008, 2009, 2010, 2011, 2012, and 2013.
Manish is the founding chair of the IEEE Technical Consortium on High-Performance Computing. He serves on the editorial boards and organizing committees of a large number of journals and international conferences and workshops. He has also served as a panelist for NSF, DoE and other national and international funding agencies, and regularly reviews technical articles for journals and conferences. At Rutgers, he serves in leadership roles on various, University, School and Department level committees and is actively involved in curriculum development, specially in applied parallel and distributed computing and computational and data-intensive computing. Manish has co-authored a large number technical publications including paper in international journals and conferences, invited papers and presentations and book chapters (Parashar@GoogleScholar). He has also co-authored/edited books, conference proceedings and journal special issues and has presented large number of keynotes and distinguished seminars. He has developed and deployed several software systems that are widely used, including DataSpaces/DIMES/DART, Fenix and CometCloud. Manish has graduated 20 Ph.D. and 50 MS students and has mentored over 15 postdoctoral scholars. Manish received a BE degree in Electronics and Telecommunications from Bombay University, India, and MS and Ph.D. degrees in Computer Engineering from Syracuse University.


Zeljko Ivezic - Photo

Željko Ivezić

Željko Ivezić obtained undergraduate degrees in mechanical engineering and physics from the University of Zagreb, Croatia, in 1990 and 1991. His life-long love with astronomy started in the third grade of elementary school when he joined the school astronomy club and the public Zagreb Observatory astronomy group, and this is why he still enjoys working with amateur astronomers and astronomy teachers. Željko obtained his Ph.D. in physics from the University of Kentucky in 1995, where he worked on dust radiative transfer models and wrote the code Dusty. He moved on to Princeton University in 1997 to work on the Sloan Digital Sky Survey (SDSS), which turned out to be a life-changing experience. After spending seven fun years in Princeton, he took a professorship at the University of Washington, Seattle, in 2004. Željko’s scientific interests are in detection, analysis and interpretation of electromagnetic radiation from astronomical sources. Thanks to his amateur roots in astronomy, he likes and appreciates all aspects of it, irrespective of methodology and source type. He has co-authored over 300 refereed publications, with a cumulative citation count of over 80,000 (h index=124, according to Google Scholar ). His current obsession is the Large Synoptic Survey Telescope project (LSST), for which he serves as the Project Scientist and the chair of the LSST Project Science Team. In many ways similar to SDSS, which provided to us the first large digital color snapshot of the faint optical sky, LSST will deliver a movie of the night sky by collecting 100,000,000 GB of astronomical imaging data.


Claudia Bauzer Medeiros - Photo

Cláudia Bauzer Medeiros

Claudia Bauzer Medeiros is full professor, Computer Science, at U. of Campinas (Unicamp), Brazil, with Brazilian and international awards for excellence in research, teaching, and work to foster the participation of women in computing. She is a Commander of the Brazilian Order of Scientific Merit, and holds two honorary doctorates from U. Antenor Orrego, Peru, 2007, and U. Paris IX Dauphine, France, 2015. In 2018, she became a member of the Brazilian Academy of Sciences. Her research is centered on managing scientific data. In 1994, she created Unicamp’s Laboratory of Information Systems, one of the first labs in Brazil dedicated to interdisciplinary data-intensive research. Since 1997, she has headed large multi-institutional projects in biodiversity, health, agriculture and environmental planning, involving universities in Brazil, Germany and France. As of 2014, she coordinates the eScience research funding program of the Sao Paulo
State Foundation, to foster data- and/or computing-intensive interdisciplinary research. In 2018, she was elected to the Council of the Research Data Alliance (RDA), an international body with over 8,000 members from 137 countries, and to the Council of the Association of Computing Machinery (ACM, USA).


Sergio Pinheiro Firpo - Photo

Sérgio Pinheiro Firpo

Sergio Firpo é Professor Titular da Cátedra Instituto Unibanco no Insper. Possui graduação em Economia pela UNICAMP (1996), mestrado em Economia pela PUC-Rio (1999, mestrado em Estatística (2002) e Ph.D. em Economia (2003) pela Universidade da Califórnia em Berkeley. Foi Professor Assistente nos departamentos de Economia da Universidade da Columbia Britânica (2003-2006), da PUC-Rio (2004-2008) e Professor Associado da EESP-FGV (2008-2015). Sergio é Elected Fellow da Econometric Society e membro dos comitês consultivos de avaliação da Fundação Itau Social, da Fundação Lemann e do Núcleo de Pesquisa Aplicada à Economia da Educação do Instituto Unibanco. É Research Fellow do Institute for the Study of Labor (IZA), Global Labor Organization (GLO) e do Center for Evaluation and Development (C4ED). Ele é pesquisador 1-D do CNPq e membro fundador do Instituto Nacional de Ciência e Tecnologia de Educação, Desenvolvimento Econômico e Inserção Social. É membro do conselho editorial das revistas Pesquisa e Planejamento Econômico e da Ecos de Economia. Atualmente é editor associado do Journal of Business Economics and Statistics já tendo sido editor da Brazilian Review of Econometrics (2007-10). Dedica-se à pesquisa em microeconometria, com contribuições teóricas e aplicadas às seguintes áreas: economia do trabalho, economia da educação, desenvolvimento econômico e economia política. Seus trabalhos têm sido publicados em diversos periódicos científicos internacionais, como Econometrica, Journal of Econometrics, Journal of Human Resources, Journal of Development Economics, Journal of Applied Econometrics, Journal of Economic Inequality e em capítulos de livros, como o Handbook of Labor Economics. Por seus trabalhos acadêmicos, recebeu os prêmios da Sociedade Brasileira de Econometria nos anos de 2014, 2015 e 2016 (categoria Econometria), da Econometric Society em 2009 (Simonsen Lecture) e da ANPEC em 2007 (Prêmio Haralambos Simeonidis). Sua pesquisa tem sido financiada por CNPq, CAPES, FAPESP e SSHRC. Como consultor, tem colaborado para o Banco Mundial, BID, PNUD, CNI, FAPESP, TCU, Fundação Itaú Social e Instituto Unibanco.


Joao Carlos Setubal - Photo

João Carlos Setubal

Professor Titular do Departamento de Bioquímica do Instituto de Química da Universidade de São Paulo e Professor Colaborador do Biocomplexity Institute (EUA). É PhD em Ciência da Computação pela University of Washington (1992). Possui graduação em Engenharia Mecânica pela Universidade de São Paulo (1979) e mestrado em Ciência da Computação pela Universidade Estadual de Campinas (1987). Foi professor do Instituto de Computação da Unicamp de 1986 a 2005 e professor/pesquisador do Virginia Bioinformatics Institute e do departamento de Computer Science da Virginia Tech (EUA) de 2004 a 2011. Atua na área de bioinformática. É coordenador do Programa Interunidades de Pós-Graduação em Bioinformática da USP, foi Coordenador do Núcleo de Pesquisa em Biologia Computacional e Genômica (2012-2016). Atua como membro do corpo editorial das revistas Frontiers in Genetics, PeerJ, Standards in Genomic Sciences, Theory in Biosciences e BMC Bioinformatics. Nos últimos 5 anos anos orientou 13 alunos de mestrado, 15 de doutorado e supervisionou 5 pós-doutorandos.


Alvaro Luiz Gayoso de Azeredo Coutinho - Photo

Alvaro Luiz Gayoso de Azeredo Coutinho

Possui graduação em Engenharia Civil pela Universidade Federal do Rio de Janeiro (1980), mestrado (1984) e doutorado (1987) em Engenharia Civil pela COPPE/Universidade Federal do Rio de Janeiro (1984). Atualmente é professor titular da COPPE/Universidade Federal do Rio de Janeiro, membro de corpo editorial do Int J for Numerical Methods in Fluids, Int J for Numerical Methods in Engineering e Latin American J Solids and Structures, Editor Associado da Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, consultor da Fundação COPPETEC e Membro do Comitê Executivo da International Association for Computational Mechanics. Recebeu o IBM Faculty Award (2001), o Prêmio COPPE de Mérito Acadêmico 2007, e Fellow da International Association of Computational Mechanics. Em 2015 recebeu o Prêmio InRio Personalidades do Ano da Assespro RJ. Tem experiência na área de Engenharia Civil, com ênfase em Estruturas, atuando principalmente nos seguintes temas: elementos finitos, computação paralela, método dos elementos finitos, dinâmica dos fluídos computacional, problemas multi-física.


Ulisses Braga Neto - Photo

Ulisses Braga Neto

Ulisses Braga Neto is Associate Professor of Electrical and Computer Engineering, Texas A&M University , Ph.D. in Electrical and Computer Engineering The Johns Hopkins University, Baltimore, MD, 2002. M.S.E. in Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, 1998. M.S.E. in Mathematical Sciences, The Johns Hopkins University, Baltimore, MD, 1998. M.S. in Electrical Engineering, State University of Campinas, Brazil, 1994. B.S in Electrical Engineering, Federal University of Pernambuco, Brazil, 1992.
He has held positions 2007 Assistant Professor, Department of Electrica l Computer Engineering, Texas A&M University, College Station, TX 2004-2006 Assistant Researcher, Oswaldo Cruz Foundation (FIOCRUZ), Recife, Brazil 2002-2004 Post- Doctoral Fellow, Section of Clinical Cancer Genetics, University of Texas M.D. Anderson Cancer Center, Houston, TX.
He received Awards and Honors, Elevated to IEEE Senior Member, 2011, NSF CAREER Award, National Science Foundation, 2009, International Travel Research Grant (IRTAG), awarded by the Office of International Outreach, Texas A&M University, Summer 2008, Fast-Breaking Paper in the field of Computer Science, appointed by the ISI Web of Knowledge, February 2006. Abel Wolman Fellowship, awarded by the ECE Department of Johns Hopkins University to the most promising entering graduate student, Spring 1996. Laurea Universitaria, awarded by the Federal University of Pernambuco, Brazil, for ranking first in the Electrical Engineering Class of 1992. First place among 21,794 candidates at the major yearly selection examination for entering undergraduate students in the state of Pernambuco, Brazil, in 1988. He received Several scholarships awarded by the Brazilian Government for undergraduate, masters, and doctorate studies, since 1989.Research Genomic and Proteomic Signal Processing Statistical Pattern Recognition Statistical Signal Processing Digital Image Processing.


Altigran Soares da Silva - Photo

Altigran Soares da Silva

Altigran Soares da Silva is a professor at the Institute of Computing, Federal University of Amazonas (IComp/UFAM), where he works as a researcher, lecturer and advisor at the undergraduate, master’s and doctoral degrees. He received his Ph.D. in Computer Science from Universidade Federal de Minas Gerais (UFMG) in 2002. His research interests involve Data Management, Information Retrieval and Data Mining with emphasis on the World-Wide Web and Social Media environment. On these subjects, he has coordinated and participated in dozens of research projects that resulted in more than 100 scientific publications in journals and conference proceedings of high quality in these areas. He has served as program committee co-chair in scientific conferences in Brazil and abroad and has also participated as a member of technical program committees in some 40 international conferences and workshops. He served between 2007 and 2009 as the Pro-rector for Research and Graduate Studies at UFAM. He was the Assistant Coordinator of the Computer Science area at CAPES (Brazil’s National Agency for Graduate Programs) between 2011 and 2013 and is currently member of the Computer Science Board at the Brazilian National Science Council (CNPq). From 2005 and 2015 he served in the board of directors of the Brazilian Computer Society (SBC), where he is currently serving as an advisory board member. He is a co-founder of technology ventures, including Akwan Information Technologies, acquired by Google Inc. in 2005, and, the leading company in information technologies for e-commerce in Brazil, acquired in 2015 by Linx Sistemas. In 2013, a doctoral thesis under his supervision was awarded the First Place in the Theses and Dissertation Contest of the Brazilian Computer Society (SBC) and an Honorable Mention in the CAPES Thesis Award. Also in 2013, he received the SBC Distinguished Member Award for his work with the SBC´s Special Commissions, contributing to the improvement of the CAPES Qualis index for conferences in the area of Computer Science. In 2015, he was a recipient of a “Google Research Awards in Latin America”.


Fabio Porto - Photo

Fábio Porto

Fabio Porto is a senior researcher at the National Laboratory of Scientific Computing (LNCC), Brazil. He holds a Bachelor degree in Mathematics (Informatics) from Rio de Janeiro State University (1987) and a MSc and PhD degrees in Informatics from Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil, in 1997 and 2001, respectively. During his PhD, Dr. Porto spent 1,5 years at INRIA, in France, as part of a sandwich PhD program. From 2004 to 2008 he was a senior researcher at the École Polytéchnique Fédérale de Lausanne (EPFL), Database Laboratory, in Switzerland. In 2009, he joined LNCC to found the Data Extreme Lab in 2011, of which he is currently the general coordinator. He was the General Chair of the 44th International Conference of Very Large Data Bases (VLDB), in 2018, and the Brazilian Symposium in Databases (SBBD), in 2015. He participates in the program committee of VLDB, ACM-SIGMOD and SBBD, in addition to journals and workshops. He has more than 100 publications among journal and conferences/workshops. He is a member of the Association for Computing Machinery (ACM) and the Brazilian Computer Society (SBC).


Yaser Said Abu-Mostafa - Photo

Yaser Said Abu-Mostafa

Dr. Yaser S. Abu-Mostafa is Professor of Electrical Engineering and Computer Science at the California Institute of Technology, and Chairman of Machine Learning Consultants LLC. His main fields of expertise are Machine Learning (ML) and Computational Finance (CF). He is the author of Amazon’s ML bestseller “Learning from Data”. His ML online course (MOOC) has attracted more than 5 million views. Dr. Abu-Mostafa received the Clauser Prize for the most original doctoral thesis at Caltech. He received the Caltech undergraduate and graduate teaching awards 5 times, and the Richard P. Feynman prize. He is the co-founder of the annual conference on Neural Information Processing Systems (NIPS), the top international ML conference. In 2005, the Hertz Foundation established a perpetual graduate fellowship named the Abu-Mostafa Fellowship in his honor. Dr. Abu-Mostafa has served on the Scientific Advisory Board and as a technical consultant on ML for several start-up and established companies, including Citibank for 9 years. He has numerous technical publications including 3 articles in Scientific American, as well as keynote lectures at various international conferences.


Pedro Leite da Silva Dias

Pedro Leite da Silva Dias

Bachelor degree in Applied Mathematics (Univ. of São Paulo/USP in 1974), MSc and PhD in Atmospheric Sciences by the Colorado State University in 1977 and 1979, respectively. Professor of Institute of Astronomy,Geophysics and Atmospheric Sciences (IAG) of the University of São Paulo – IAG/USP since 1975. Director of IAG since 2007. Former Director of the National Laboratory for Scientific Computing of the Ministry of Science, Technology and Innovation from 2007 to 2015. Member of the Brazilian Academy of Sciences. Won the Scientific Honor Recognition by the Ministry of Science and Technology in 2002 and honored by the American Meteorological Society for his contribution to the South American Meteorology in 2012. Visiting Researcher at NCAR and NCEP in the USA in several occasions since 1982. Senior researcher of the National Institute for Space Research (INPE) and head of the Center of Weather Forecasting and Climate Research (CPTEC) between 1988 and 1990. President of the Brazilian Meteorological Society between 1992 and 1994 and Science Director of the Society from 2006 to 2008. Coordination of the Environmental Area of the Institute of Advanced Studies of USP from 1996 to 2008 and of the Regional Weather and Climate Studies Laboratory (MASTER) at USP. Published about 120 papers, book chapters, mostly in international journals and about 240 complete papers in national and international scientific events. Advisor of approximately 65 MSc and PhD students. Participated in several international committees of the World Meteorological Organization and international and national science panels. Research interests in complex modeling of the atmosphere, parallelization of atmospheric models, climate variability, weather forecasting, air pollution modeling, role of tropical heat sources, uncertainty estimates in weather and climate predictions, climate change issues and interaction with users of meteorological forecasts. More than 11.000 citations in Google Citations (H=43).


Raymond - Photo

Raymond T Ng

Raymond’s main research area for the past two decades is on data mining, with a specific focus on health informatics and text mining. He has published over 180 peer-reviewed publications on data clustering, outlier detection, OLAP processing, health informatics and text mining. He is the recipient of two best paper awards – from the 2001 ACM SIGKDD conference, the premier data mining conference in the world, and the 2005 ACM SIGMOD conference, one of the top database conferences worldwide. For the past decade, he has co-led several large-scale genomic projects funded by Genome Canada, Genome BC and industrial collaborators. Since the inception of the PROOF Centre of Excellence, which focuses on biomarker development for end-stage organ failures, he has held the position of the Chief Informatics Officer of the Centre. From 2009 to 2014, Dr. Ng was the associate director of the NSERC-funded strategic network on business intelligence.


Andre Carlos Ponce Photo

André Carlos Ponce de Leon Ferreira de Carvalho

Professor André C. P. L. F. de Carvalho is Full Professor at the Department of Computer Science, Institute of Mathematical and Computer Sciences, University of São Paulo (ICMC-USP), Campus São Carlos and Research Productivity Fellow 1A at CNPq. He holds a BSc (1987) and a MSc in Computer Science (1990) from the Federal University of Pernambuco, and a PhD in Electronic Engineering from the University of Kent (1994). His main research interests are Machine Learning, Data Mining and Data Science, with applications in various areas. Author of several books, including Inteligência Artificial: Uma abordagem de Aprendizado de Máquina, published by GrupoGen in 2011 and Jabuti Award in 2012, and A General Introduction to Data Analytics, published by Wiley, in 2018. He is currently deputy director of ICMC-USP and the Center for Applied Mathematical Sciences for Industry at USP. He is a member of the CNPq Computer Science Advisory Committee (CA-CC), of the Science for Education Network (CpE), the International Network for Government Science Advice (INGSA), of the Technical Scientific Council of the School of Applied Mathematics of the Getúlio Vargas Foundation (EMAp-FGV), of the University Council of the  Universidade de São Paulo, of the  Advanced Institute for Artificial Intelligence (AI2)  and  Member of the Strategy and Partnerships Board of the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI), at University of Bath, UK and Vice-President of the Brazilian Computer Society (SBC).


Francisco Brasileiro

Francisco Brasileiro is a Full Professor at the Universidade Federal de Campina Grande, Brazil. He received a B.S. degree in Computer Science from the Universidade Federal da Paraíba, Brazil, in 1988, an M.Sc. degree from the same University in 1989, and a Ph.D. degree in Computer Science from the University of Newcastle upon Tyne, UK, in 1995. His research interests include distributed systems, utility computing and eScience applications. Prof. Brasileiro has more than 20 years of experience in coordination of RD&I projects. He is author/co-author of more than 200 scientific papers, published on journals and conference proceedings. He is a member of the Brazilian Computer Society, the ACM, and the IEEE Computer Society.