Title: Data Mining for Bigdata Spatiotemporal Applications
Speaker: Sanjay Ranka, University of Florida, Gainesville
Abstract:
Data collected for a number of applications from applications in
science, engineering, medicine and business are spatiotemporal in
nature. Spatial and temporal relations are implicitly defined and have
to be extracted from datasets at the variable levels of granularity.Many
of these applications require processing of datasets that have large
volume (gigabytes to terabytes) and large velocity (substantial
fractional of new data is added at regular intervals). Additionally,
these applications have potentially multiple modalities of data with
different levels of accuracy.
In this talk, we will present our recent work on data mining, machine
learning and parallel processing of bigdata applications from CRM,
remote sensing, health care and mobile computing. We will describe both
the software infrastructure and algorithms required for end to end
solution for these applications.
Bio:
Sanjay Ranka is a Professor in the Department of Computer Information
Science and Engineering at University of Florida. His current research
interests are focused on a variety of issues related to data science:
energy efficient computing, high performance computing, data mining and
informatics. He is also interested in applying these techniques to
applications in e-commerce, biology, medicine and engineering. Most
recently he was the Chief Technology Officer at Paramark where he
developed real-time optimization software for optimizing marketing
campaigns. Sanjay has also held positions as a tenured faculty positions
at Syracuse University and as a researcher/visitor at IBM T.J. Watson
Research Labs and Hitachi America Limited.
Sanjay earned his Ph.D. (Computer Science) from the University of
Minnesota and a B. Tech. in Computer Science from IIT, Kanpur, India. He
has coauthored two books: Elements of Neural Networks (MIT Press) and
Hypercube Algorithms (Springer Verlag), 225 journal and refereed
conference articles. His recent work has received a best paper award at
BICOB 2014, best student paper award at ACM-BCB 2010, best paper runner
up award at KDD-2009, a nomination for the Robbins Prize for the best
paper in journal of Physics in Medicine and Biology for 2008, and a best
paper award at ICN 2007. His research has been supported by NSF, NIH,
Army, DOE, Samsung, Intel and Nvidia.
He is a fellow of the IEEE and AAAS. He is the associate Editor-in-Chief
of the Journal of Parallel and Distributed Computing and an associate
editor for ACM/IEEE Transactions on Computational Biology and
Bioinformatics, IEEE Transactions on Parallel and Distributed Computing,
IEEE Transactions on Computers, Sustainable Computing: Systems and
Informatics, Knowledge and Information Systems, and International
Journal of Computing. He was a past member of the IFIP Committee on
System Modeling and Optimization, Parallel Compiler Runtime Consortium,
the Message Passing Initiative Standards Committee and Technical
Committee on Parallel Processing. He is the program chair for 2015 High
Performance Computing, 2013 International Parallel and Distributed
Processing Symposium, 2010 International Conference on Contemporary
Computing and co-general chair for 2009 International Conference on Data
Mining and 2010 International Conference on Green Computing.