Diego Raphael Amancio is an assistant Professor at University of São Paulo (Brazil), since 2014. His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Ignacio Arganda-Carreras (Madrid, 1980) is a European PhD in Computer Engineering and Telecommunications by the Autonomous University of Madrid and holds a BSc in Computer Engineering from the same university. He took postdoctoral studies at the department of Brain and Cognitive Sciences of the Massachusetts Institute of Technology from 2009 to 2013 and at the Jean-Pierre Bourgin Institute of the Institut National de la Recherche Agronomique, Versailles, from 2013 to 2015.
During his doctorate studies he carried out research stays at the Lawrence Berkeley National Laboratory in Berkeley (California, 2002-2004), at the Centre for Machine Perception of the Technical University of Prague (2005) and at the Applied Medical Research Centre of the University of Navarra in Pamplona (2006). He has worked as a consultant for the Max Planck Institute of Cellular Biology and Genetics in Dresden (2009) and for the Institute of Neuroinformatics in Zurich (2009).
Since September 2015 he is an Ikerbasque Research Fellow at the Department of Computer Science and Artificial Intelligence of the University of the Basque Country.
Lora Aroyo is a Full Professor at the Web & Media group, Department of Computer Science, Department of Computer Science, VU University Amsterdam, The Netherlands. Within the framework of the Network Institute, she is involved in several research projects focussed on crowdsourcing and human computation, collecting data, data quality, and especially hybrid human-AI systems for video understanding. She has led major research projects in semantic search, recommendation systems, event-driven access to online multimedia collections, and through these has become a recognized leader in digital humanities, cultural heritage, and interactive TV.
Bernard J. Baars (born 1946, Amsterdam) is a former Senior Fellow in Theoretical Neurobiology at The Neurosciences Institute in La Jolla, CA., directed by the late Gerald M. Edelman. Baars is currently an Affiliated Fellow.
He is best known as the originator of Global Workspace Theory (GWT), an empirical theory of human cognition and consciousness, developed with Stan Franklin as a computational architecture. A number of neuroscience groups in the US and Europe are pursuing this approach, including Stanislas Dehaene in Paris and Nikos Logothetis at the Max Planck Institute, Tuebingen. "Consciousness science" is now an established field, with a large brain and psychological literature.
In 2013, a major update called Dynamic Global Workspace Theory (D-GWT) appeared. (Baars, Franklin & Ramsoy, 2013, Frontiers). This work proceeds.
Baars served as a professor of psychology at the State University of New York, Stony Brook, where he studied laboratory-evoked human errors. The same factors plausibly cause spontaneous errors as well, a significant practical as well as scientific problem. Involuntary errors are directly relevant to the basic question of voluntary control.
Baars co-founded the Association for the Scientific Study of Consciousness, and the Elsevier journal Consciousness & Cognition, with William P. Banks.
Please see my 2015 article on Consciousness in Scholarpedia, summarizing the empirical evidence (which is often said not to exist... !).
Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.
I am Director of the Computational Bioscience Research Center and Professor in the CEMSE Division at KAUST. I joined KAUST in May 2009. Before that time I was a Professor of Bioinformatics, as well as Acting and Deputy Director of the South African National Bioinformatics Institute (SANBI) at the University of the Western Cape in South Arica. I worked in industry and several academic and research institutions in several countries, including Vinca Nuclear Science Institute in Serbia and the Institute for Infocomm Research (I2R) in Singapore, where I was head of the Knowledge Extraction Laboratory. I extensively published across several fields and designed many bioinformatics tools and resources. My work in modeling and artificial intelligence has resulted in several promoter recognition tools and a knowledge discovery platform that found commercial applications. More than 60 master and doctoral students have graduated under my supervision. I am an elected member of the Academy of Nonlinear Sciences in Russia, and while in South Africa I was a registered professional engineer. For my bioinformatics work, I was awarded the first South African National Research Chair (Tier 1) in Bioinformatics and Human Health. My graduate degree in electrical engineering and master’s degree in electrical engineering sciences I earned from the University of Belgrade in Serbia, followed by a doctorate of engineering sciences in electrical engineering from the University of Zagreb in Croatia.
Wolfgang Banzhaf is University Research Professor at the Department of Computer Science of Memorial U. of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Assoc. Prof. for Appl. CS at TU Dortmund.
Ana Bazzan received her PhD in 1997 from the University of Karlsruhe (now KIT), Germany. She is an associate professor at UFRGS in Porto Alegre, Brazil. Her activities include: fellow of the Alexander von Humboldt Foundation; associate editor of journals (Autonomous Agents and Multiagent Systems, Advances in Complex Systems, among others); member of the IFAAMAS board. Her main research interests are: multiagent systems, complex systems, agent-based simulation.
Mario Luca Bernardi received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing several papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering and reengineering, with particular interest on software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as reviewer of papers submitted to some of the main journals and magazines in the field of data mining, software engineering, software maintenance and program comprehension.
Currently I am an Assistant Professor at Giustino Fortunato University, holding the courses of "Computer Science" and "Software Systems and Services" for the Avionics Science and Technologies master degree.
A Research Associate of the Belgian Fonds de la Recherche Scientifique—FNRS at IRIDIA, Université libre de Bruxelles.
Dr. Birattari co-authored more than 100 peer-reviewed scientific publications in the field of computational intelligence. His research interests focus on swarm intelligence, collective robotics, machine learning, and on the application of artificial intelligence techniques to the automatic design of algorithms.
Grady is recognized for his innovative work in software engineering. Grady is an IBM Fellow and has also been given the honor of Fellow for the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. He has been awarded the Lovelace Medal and has given the Turing Lecture on behalf of the British Computer Society. Author of six best-selling books, Grady has published hundreds of technical articles and has lectured extensively around the world.
Léon's primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale applications. Léon's secondary research interest is data compression and coding. His best known contributions are his work on large scale learning and on the DjVu document compression technology. He is serving or has served on the boards of the Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine and Pattern Recognition Letters.