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.
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.
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.
Wolfgang Banzhaf is a professor in 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.
Dr. Berghout received her PhD in Biochemistry from McGill University in Montreal, QC where she researched the genetics of complex traits and susceptibility to infectious disease in humans and mouse models. Following that, she spent three years as the Outreach Coordinator for the Mouse Genome Informatics (MGI) database in Bar Harbor, ME. There, she trained researchers in genetics, genomics, data structures and data mining to answer biological questions, and worked closely with other members of the MGI group to develop and optimize the MGI resource. Now her research interests include genetics of all kinds, personalized medicine, big data, and scientific communication. She is currently pursuing projects in precision medicine for analysis of transcriptome data from patients with rare lung diseases (Sarcoidosis, Coccidiomycosis), and integrative network analysis of complex traits including Alzheimer's Disease. She is currently appointed at the University of Arizona's Center for Biomedical Informatics and Biostatistics (CB2) and The Center for Genetics and Genomic Medicine (TCG2M) in Tucson, AZ.
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.
I graduated at the Computer Science Department (DI) of the University of Milano.
Presently I am an associate professor at the Computer Science Department of the University of Milano. My current research interests are: Distributed systems, anonymity, Sense of direction, Models of computation over the reals, Concurrency theory, Applied graph theory, Web crawling and indexing, Web graphs
Dr. Glen Borchert holds joint appointments as an Assistant Professor in Biology and Pharmacology at the University of South Alabama. He originally received a B.S. in Biology from the University of Tennessee then completed a Ph.D. in Genetics from the University of Iowa. Dr. Borchert’s research focuses largely on identifying novel genetic regulators and defining their roles in oncogenesis, microbiology and speciation. Since starting his laboratory at South Alabama in August 2012, Dr. Borchert has published dozens of papers in peer reviewed journals and had numerous grant applications funded including a highly prestigious NSF CAREER award (2014-2019).
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.
Doina Caragea is an associate professor at Kansas State University. Her research interests include machine learning and data mining, with applications to bioinformatics, social network analysis, recommender systems, and scientometrics, among others. Doina received her Ph.D. in Computer Science from Iowa State University in August 2004, and was honored with the ISU Research Excellence Award for her Ph.D. work. She has published more than 80 refereed conference and journal articles.
Edith Cohen is (visiting) full professor at Tel Aviv University. Until 2014 she was a Principal Researcher at Microsoft Research (Silicon Valley) and between 1991 and 2012 she was at AT&T Labs. She received a Ph.D in Computer Science from Stanford University in 1991. Her research interests include algorithms, mining and analysis of massive data, optimization, and computer networking. She is a winner of the IEEE ComSoc 2007 Bennett prize, and an author of 20+ patents and 100+ publications.