Smart Cities, Big Data and Communities: Reasoning from the Viewpoint of Attractors In what sense is a city smart? There are established entities defining this rich area of cross-disciplinary studies, and they refer to social, technical, economic and political factors that keep evolving, thus offering opportunities for constant refinement of the concept of smart city. The emerging properties are mostly contextual, and affect urban data types and their capacity to form complex information systems. Read more “Smart Cities Lunch & Learn, Thursday 12/3/2015”
IDSC Big Data Analytics & Data Mining Postdoctoral Researcher Mohamed Sordo has launched Musikipedia.org, a powerful web application for analyzing and streaming music. Musikipedia stands at the forefront of music analysis, illustrating the potential that Big Data could have on our everyday lives. Read more “Data-Driven Music Streaming Site: Musikipedia”
Stephan Schürer, PhD, Associate Professor of Molecular and Cellular Pharmacology at the Miller School, and Chemoinformatics program lleader at IDSC, is the head of the team of University of Miami researchers funded through the National Institutes of Health (NIH) who are creating a Data Coordination and Integration Center for the Library of Integrated Network-based Cellular Signatures (LINCS) program. Read more “NIH Big Data to Knowledge (BD2K) Grant”
The dramatic and terrifying events that occurred during the first decade of the 21st Century drew in the scientific and engineering resources of the nation in many ways. For example, NIST responded by conducting an exhaustive study of the World Trade Center building collapses and produced standards for biometric identification, mail irradiations to detoxify anthrax, nuclear material detectors at U.S. borders, and protective measures against cyber attacks. NSF responded by supporting research interrupted by Hurricane Katrina and modeling the several violent natural disasters that occurred during the decade. Read more “Distinguished Speaker: Arden Bement, Monday 11/3/2014”
DDN‘s Worldwide Academic Research Partnership (WARP™) is a global program focused on scientific advancement and insight through the exploration of novel approaches to Big Data. The program provides a framework for collaboration and the sharing of ideas between DDN (Data Direct Networks), its customers, and the development community. Read more “DDN’s Worldwide Academic Research Partnership (WARP) Annual Awards”
Program Director, Big Data Analytics & Data Mining, Center for Computational Science
Associate Dean for Digital Library Innovation, College of Arts and Sciences
Professor, Department of Computer Science
Dr. Mitsunori Ogihara joined the University of Miami in 2007 as Professor in the Department of Computer Science and as Program Director of the Big Data Analytics & Data Mining Program within the Center for Computational Science. More recently, he was appointed Associate Dean for Digital Library Innovation in the College of Arts and Sciences.
Dr. Ogihara obtained his PhD in Information Sciences from the Tokyo Institute of Technology in 1993. From 1994 to 2007, Dr. Ogihara was a Computer Science faculty member at the University of Rochester, where he was promoted to Associate Professor with tenure in 1998, and to full Professor in 2002. He also served as Chair of for the Department from 1999 to 2007.
Dr. Ogihara is an editor of three journals:
- International Journal of Foundations of Computer Science (2006-present )
- Theory of Computing Systems Journal (2002-present)
- (Was Central European Journal of Computer Science) now Open Computer Science Journal
[Cannot find: Journal of Computing and Information (1995-present)]
His research interests are in data mining, information retrieval, network traffic data analysis, program behavior analysis, molecular computation, and music information retrieval.
- General Chairperson for ISMIR 2011 Conference
- Program Chairperson for TAMC 2011 Conference
- Keynote Speaker at RACS 2011 Conference
Please click here for a list of publications.