Karl Aberer is a full professor for Distributed Information Systems at EPFL Lausanne, Switzerland, since 2000; from 2005 to 2012 the director of the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS, www.mics.ch); since September 2012 he is Vice-President of EPFL responsible for information systems; member of the editorial boards of VLDB Journal, ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal.
Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
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.
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.
Claudia Bauzer Medeiros is full professor of databases at the Institute of Computing, University of Campinas (Unicamp), Brazil. She has received Brazilian and international awards for research, teaching, and for her work in fostering the participation of women in IT-related activities. Reserch centered on the management of scientific data and eScience, in particular involving agro-environmental planning, biodiversity, workflow systems and geographic information.
Hamilton Distinguished Professor in Computer Science at RPI. Fellow of the ACM, IEEE, and AAAS. Inaugural recipient of the ACM/IEEE-CS Ken Kennedy Award for "influential leadership in the design, development, and deployment of national-scale cyberinfrastructure." U.S. lead of the Research Data Alliance (RDA) and RDA Council co-Chair. Chair of the Anita Borg Institute Board of Trustees. Former Director of the San Diego Supercomputer Center. Former Vice President for Research at RPI.
Christian Bird is a researcher in the empirical software engineering group at Microsoft Research. Christian received B.S. from BYU and his Ph.D. from U.C. Davis.
Research Fellow at the University of New South Wales working on complex network analysis (brain networks, muscle networks and social networks), electrophysiology, motor control and mental health.
Christine L. Borgman, Professor & Presidential Chair in Information Studies at UCLA, is the author Big Data, Little Data, No Data ( 2015), Scholarship in the Digital Age (2007) and From Gutenberg to the Global Information Infrastructure (2000), and about 200 other publications in information studies, computer science, and communication. She is a Fellow of the ACM and of AAAS; and a member of the Board of Directors of the Electronic Privacy Information Center.
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.