Alexandre Alves is Associate Professor at the Federal University of São Paulo, Unifesp-Diadema, with Masters and PhD in Theoretical Physics from IFT-Unesp. He applies Machine Learning techniques to particle physics phenomenology especialy in the study of the Higgs boson and the search for Dark Matter and new phenomena at high energy colliders. He holds a scholarship in research productivity 1D from CNPq.
Reinaldo A. C. Bianchi
Reinaldo A. C. Bianchi is currently a Full Professor of FEI University Center in São Bernardo do Campo, Brazil. He holds a Bachelor’s Degree in Physics from the Institute of Physics of the University of São Paulo, a Masters and PhD in Electrical Engineering from the Polytechnic School of the University of São Paulo. He completed a postdoctoral fellowship at the Institute for Research in Artificial Intelligence, IIIA-CSIC, Barcelona, Catalunya, Spain. He is a founding member of the Brazilian Robotics Olympiad (OBR), the National Robotics Fair (MNR) and RoboCup Brazil. The main objective of his research is the creation of Autonomous and Intelligent Robotic Systems and to achieve this goal, he mainly works in the following areas: Robotics, Artificial Intelligence, Machine Learning, Computer Vision and Multi-Agent Systems.
André C. P. L. F. Carvalho
André C. P. L. F. Carvalho received his B.Sc. and M.Sc. degrees in Computer Science from the Universidade Federal de Pernambuco, Brazil. He received his Ph.D. degree in Electronic Engineering from the University of Kent, UK. Prof. André de Carvalho is Full Professor at the Department of Computer Science, Universidade de São Paulo, Brazil. He has published around 90 Journal and 200 Conference refereed papers. He has been involved in the organization of several conferences and journal special issues. His main interests are Data Science, Machine Learning, Data Mining, Bioinformatics, Evolutionary Computation and Bioinspired Computing.
Marcelo Dias Carvalho
Marcelo Dias Carvalho is Full Professor at the Superior School of Engineering and Management (ESEG), Professor of the Educational Group ETAPA, Researcher in the area of Optimisation of Productive Systems, Operational Research, Multivariate Statistics and Neural Networks. He works with research of development of New Methods of Learning, Robotics and Internet of Things. Participates in different projects of teaching and product development factories focused on the use of Big Data and Artificial Intelligence. Has experience of work in the area of higher education, high school and sugar and alcohol industry. With a partial graduation in engineering from the Technological Institute of Aeronautics, he holds a Bachelor’s Degree in Industrial Engineering of the University of São Paulo and a Masters in Industrial Engineering from the Polytechnic School of the University of São Paulo. He is the author of the book “Dreaming, Studying and Conquering”, which deals with methods of learning and academic development.
Leandro Nunes de Castro
Leandro Nunes de Castro is an Electrical Engineer, holds an M.Sc and Ph.D in Computer Engineering and an MBA in Strategic Business Management. He has over 240 papers published in journals and conferences, and has written 4 books. He founded and leads the Natural Computing and Machine Learning Laboratory (LCoN) of the Graduate Program in Electrical Engineering and Computing of the Mackenzie Presbyterian University. In the last 13 years, he founded and participated in the structuring of four technology start-ups and has broad technology transfer experience. He is currently the Chief Development and Innovation Officer at the Mackenzie Presbyterian University, being responsible for the whole Innovation and Entrepreneurship Ecosystem at the university.
Nestor Caticha is a Professor of Physics at the University of São Paulo (USP). Holds a B. Sc. from the University of Campinas (UNICAMP) and a Ph.D. in Physics from the California Institute of Technology (Caltech). His main interests are in the area of theoretical physics of information processing systems, with applications to the theory of learning in artificial and biological systems; statistical mechanics; applications to inverse problems; and the study of societies of information processing agents.
Raphael M. O. Cobe
Raphael Mendes de Oliveira Cobe studied Computer Engineering at the Federal University of Rio Grande do Norte, then received his M.Sc. on Computer Science with emphasis on Software Engineering and Natural Language Processing. Then, he finished his Ph.D. on Computer Science at the Institute of Mathematics and Statistics of the University of São Paulo with emphasis on Artificial Intelligence. He accounts for over 10 years of experience on software development. He works as Research Associate at UNESP Center for Scientific Computing since 2015 on projects related to Machine Learning, High Performance Computing and Big Data. He is also part of the team that maintains the GridUnesp infrastructure.
Esther L. Colombini
Esther Luna Colombini received a Ph.D. degree in computing engineering from Technological Institute of Aeronautics (ITA). She is an Associate Professor with the University of Campinas (UNICAMP). Her research interests include machine learning, autonomous robotics, cognitive modeling, and robotics in education. She was elected the president of RoboCup Brazil (2012-2016) and the Organizer of the Brazilian Robotics Olympiad (2015-2016), a public initiative that involves 150,000 students supported by the National Council of Technological and Scientific Development. She is a founding member of the Brazilian Robotics Olympiad (OBR) and the National Robotics Fair (MNR). She was General co-Chair of the RoboCup 2014 World event. She was elected Director of Scientific Competitions of the Brazilian Computer Society (2017-2019). She coordinates the Laboratory of Robotics and Cognitive Systems at UNICAMP.
ANNA HELENA REALI COSTA
Anna Helena Reali Costa is Full Professor at University of São Paulo (USP), Brazil. She holds a Ph.D. degree in Electrical Engineering from USP, and an Engineering degree in Electrical Engineering from the FEI University Center in São Bernardo do Campo, Brazil. She was a research scientist at the University of Karlsruhe, Germany, working in robot vision and intelligent mobile robots. She was also a guest researcher at Carnegie Mellon University, USA, working in planning, control, learning, and execution algorithms for multi-robot teams. She has published around 200 refereed papers in Journals and Conferences. Her main interest lies in artificial intelligence, particularly in visual perception, autonomous agents, and real-time learning, especially in reinforcement learning and knowledge transfer.
Fabio G. Cozman
Fabio G. Cozman is a full Professor at Universidade de São Paulo, Brazil, where he works with probabilistic reasoning and machine learning, with a special interest in formalisms that extend probability theory. He got an Engineering degree at USP-Brazil and a PhD in Robotics at Carnegie Mellon University-USA, and has served, among other activities, as Program and General Chair of the Conf. on Uncertainty in Artificial Intelligence, Area Chair of the Int. Joint Conf. on Artificial Intelligence, Associate Editor of the Artificial Intelligence Journal, Associate Editor of the Journal of Artificial Intelligence Research, and Associate Editor of the Journal of Approximate Reasoning; he was chair of the chapter on Artificial Intelligence at the Sociedade Brasileira de Computação.
Luiz Fernando C. S. Durão
Luiz Fernando Durão is professor at the Escola Superior de Engenharia e Gestão (ESEG), and at INSPER, Researcher at the Escola Politécnica of the University of São Paulo, and Visiting Researcher at the Technische Universität Darmstadt (Germany). He works with advanced manufacturing and product development using design thinking. He participates in different additive manufacturing, distributed manufacturing, teaching and product development projects both focusing on the use of Big Data and Artificial Intelligence. He has experience in the financial, oil and gas and automotive industry areas. He participated of the Brazilian team in the discipline “Design Innovation” in partnership with Stanford University and a Brazilian company of the aeronautics sector. He has collaborated with international product development disciplines in partnership with Aalto Design Factory (Finland) and Trinity College Dublin (Ireland). He is Production Engineer (2014), with Master in production engineering (2017) and Ph.D. student at the Escola Politécnica of the University of São Paulo.
Jean Faber is Professor at the Federal University of São Paulo (UNIFESP), Department of Neurology and Neurosurgery, Nucleus of Neuroscience in São Paulo. He holds a Bachelor’s Degree in Physics from the Federal University of Juiz Fora (UFJF), with Master and Ph.D. in the field of Quantum Information and Computation from the National Laboratory for Scientific Computing (LNCC-MCTI), Brazil. He did a postdoctoral fellow at the Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA/LETI/CLINATEC), France in the neural signal analysis field. Currently, he coordinates the Laboratory of Neuroengineering and Neurocognition with interests in the areas of Statistical Learning and Neuronal Signal Analysis applied to Neuro-Biofeedback, Brain Computer Interface, and sensory-motor problems.
Fabio Augusto Faria
Fabio Augusto Faria received his BSc in Computer Science (2007) from the State University of Sao Paulo (Brazil), the MSc degree in Computer Science (2010) and the doctorate in Computer Science (2014) from the University of Campinas (Brazil). During 2012-2013 he worked as a visiting scholar at University of South Florida and during 2014-2015, he had worked as a post-doctorate researcher at University of Campinas. He is currently an Assistant Professor at the Institute of Science and Technology, Federal University of Sao Paulo (ICT-UNIFESPl). His research interests include information fusion, data mining, machine learning, and image processing.
Fabrício O. de França
Carlos Kamienski is a Full Professor of Computer Science at the Federal University of ABC (UFABC, Brazil). Currently, he leads the NUVEM Strategic Research Unit comprising 18 faculty members and their students working in five broad research lines, namely smart societies, virtual sensations, connected mobility, extreme computing and integrated universes. He is currently the Brazilian coordinator of SWAMP, a EU-Brazil collaborative research project that develops IoT based methods and approaches for smart water management in precision irrigation. His current research interests include Internet of Things, smart cities, smart agriculture, cloud/fog computing, network softwarization and Future Internet. Also, he served for about 10 years in management positions at UFABC, as Director of a Graduate Program, Vice-President for Graduate Studies and Head of International Relations.
Gustavo Meirelles, MD, PhD, is Medical Manager of Radiology, Strategy and Innovation at Fleury Group. He holds a degree in Medicine from the Federal University of Juiz de Fora, a Residency in Diagnostic Imaging and a PhD in Radiology from the Federal University of São Paulo, a post-doctorate from Memorial Sloan-Kettering Cancer Center, in New York, and an MBA in Business Management from Fundação Getúlio Vargas (FGV) in São Paulo. He is also a Founding Partner and CEO at Ambra Saúde, a medical data and image management cloud software company, and a mentor at DataH-Life and I2A2 – Applied Artificial Intelligence Institute, which focus on artificial intelligence applications for healthcare. He has experience in Healthcare Management, Innovation, Chest Radiology, PET/CT, Computed Tomography, Magnetic Resonance Imaging, and General Radiology.
Sérgio F. Novaes
Sérgio Novaes is Full Professor at the São Paulo State University. He is member of the Compact Muon Solenoid Collaboration from the European Organization for Nuclear Research (CERN) and he is the leader of the CMS group in São Paulo and the Principal Investigator of São Paulo Research and Analysis Center (SPRACE). His team deployed the GridUnesp, the first Campus Grid in Latin America and he is the Scientific Director of the Center for Scientific Computing from UNESP and PI of several joint R&D projects with the private sector which include an Intel Parallel Computing Center and a Center of Excellence in Machine Learning. His team broke three times the record of data transmission between the North and South Hemispheres. He is the Brazilian representative to the Particles and Fields Commission from the International Union of Pure and Applied Physics, and the Technical-Scientific Director of the Management Committee of the Center of Technological Research in Oil and Gas of the Santos Basin.
João Paulo Papa
João Paulo Papa received his B.Sc. in Information Systems from the Sao Paulo State University, SP, Brazil. In 2005, he received his M.Sc. in Computer Science from the Federal University of Sao Carlos, SP, Brazil. In 2008, he received his Ph.D. in Computer Science from the University of Campinas, SP, Brazil. During 2008-009, he had worked as a post-doctorate researcher at the same institute, and during 2014-2015 he worked as a visiting scholar at Harvard University. He has been a Professor at the Computer Science Department, Sao Paulo, State University, since 2009, and his research interests include machine learning, pattern recognition, and image processing. He is also the recipient of the Alexander von Humboldt fellowship and he is an IEEE Senior Member.
Gustavo S. Pavani
Gustavo S. Pavani graduated from University of Campinas (UNICAMP) with a degree in Computer Engineering. He received his M.Sc. degree and his Ph.D. degree in Electrical Engineering from UNICAMP. He is an Associate Professor in Computer Science at Federal University of ABC (UFABC). From 2010 to 2012, he also served UFABC as its Chief Information Officer (CIO). His research interests cover theoretical and practical aspects within the fields of optical networking and communication systems by means of Artificial Intelligence techniques.
José Roberto C. Piqueira
José Roberto Castilho Piqueira was born in Sorocaba, SP, Brazil, in 1952. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from Universidade de São Paulo in 1974, 1983, and 1987, respectively. From 1974 to 1994, he worked in several telecommunication projects for Brazilian electronic and service industries, designing and developing circuits, equipment, and systems. Since 1994, he has been dedicated to teaching and research at Escola Politécnica da Universidade de São Paulo, being the Dean (2014-2018) and participating in projects for Brazilian Oil Agency and Brazilian Navy. Currently, he is a Full Professor, working with time distribution networks and running a laboratory where analytical and numerical studies support electronic and computational experiments, considering the several possible topologies and quantum control models. Besides, as synchronous complex networks appear in many aspects of human life, he works with some biological models by using differential equations and proposing complexity measures for some spreading phenomena.
Ronaldo Cristiano Prati
Ronaldo Cristiano Prati is currently an Associate Professor at Federal University of ABC (UFABC), campus Santo André. At UFABC, he leaded the creation (in 2011) and was the head of the graduate program in Computer Science from 2011 to 2015. He has published several papers in major
conferences and journals, and a book published by Springer. He coordinated projects financed by Brazilian research-funding agencies FAPESP and CNPq in the area of Machine Learning and Data Mining. His current research interests include machine learning and data science, with applications in several areas including smart irrigation and computational chemistry.
Leandro A. da Silva
Leandro Augusto da Silva is a Computer Engineer with a PhD in Systems Engineering from the School of Engineering of the University of São Paulo (Politécnica/USP). He is currently Adjunct Professor at the School of Computing and Informatics at Mackenzie University. He works on artificial neural networks, pattern recognition, data mining, machine learning and big data analytics.
Alexandre Simões is a full professor of Robotics and Artificial Intelligence at UNESP. He has a Ph.D. degree in Electrical Engineering from USP. His research focus is Robotics, with particular interests in machine consciousness, machine learning, artificial intelligence, control and automation and also the dissemination of science and technology. He was a member of the Artificial Intelligence Committee (2008-2010), and the Robotics committee (2006-2008/2008-2010/2016-to date) of the Brazilian Computer Society He was chair of the robotics area at Campus Party Brazil (2007-2010). He is a founding member of the Brazilian Robotics Olympiad (OBR) and the National Robotics Fair (MNR). He was awarded the “Rumos Itaú Cultural” prize in cybernetics/robotics. He has founded RoboCup Brazil, and he was General co-Chair of the RoboCup 2014 World event. He is the Director of the Sorocaba Campus of UNESP for the 2017-2021 period.
Silvio Stanzani works as Research Associate at UNESP Center for Scientific Computing since 2015 on projects related to Machine Learning and High Performance Computing, with focus on performance optimization and on teaching of parallel programming and data analytics. He holds a Ph.D. from Escola Politécnica da Universidade de São Paulo (EPUSP), and a Master from Universidade Católica de Santos (Unisantos). He works on software development focused on parallel programming and distributed computing since 2005.
Helio Waldman was graduated as Engenheiro de Eletrônica by Instituto Tecnológico de Aeronáutica (ITA) in 1966, and received his M.Sc. degree and his Ph.D. degree in Electrical Engineering from Stanford University in 1968 and 1971 respectively. In 1972 and 1973 he was AssociateProfessor at COPPE/UFRJ. In 1974 he joined Unicamp, where he is a Full Professor since 1980, having been Director of the Campinas Engineering School from 1982 to 1986 and the first Research Provost from 1986 to 1990. In 2006, he retired at Unicamp and joined UFABC as the first Research Provost of the newly-created University. In 2010, he was appointed to the first 4-year tenure as President of UFABC, and in 2014 he reached compulsory retirement upon his 70-th birthday. In 2009, he was admitted to the Ordem Nacional do Mérito Científico in the class of Comendador in the area of Engineering Sciences, and is Emeritus Professor at UFABC, as well as “Life Senior Member” of IEEE. He is now a collaborating Professor both at Unicamp and UFABC, and coordinates a Fapesp Thematic Project called PICC (Protecting the Internet from the Capacity Crunch) with the support of UFABC and Unicamp (Proc. Fapesp 2015/24341-7). He is interested in the application of machine learning in the management of complex networks and other emerging cyber-systems, as well as in the humanization of man-machine interfaces.
Renata Wassermann is Associate Professor at the Computer Science Department of the University of São Paulo and part of the Logic, Artificial Intelligence and Formal Methods research group (LIAMF). Her area of research is Artificial Intelligence, with emphasis on Logic and Knowledge Representation. She received a PhD in 2000 from the Institute for Logic, Language and Computation of the University of Amsterdam. Since then, she has been exploring various related topics, such as relevance, ontologies, temporal and dynamic logics, argumentation. Besides logic, during the last decade, she has been actively working on ontology evolution and repair and the use of ontologies for data integration.