Advances in High Dimensional Big Data
Workshop in conjunction with the IEEE BigData Conference 2015
www.helsinki.fi/adhdbigdata2015
Santa Clara, CA, USA
October 29 - November 1, 2015
Call for Papers
High dimensionality is inherent in applications involving text, audio,
images and video as well as in many biomedical applications involving
high-throughput data. Many applications involving relational or network
data also produce massive high-dimensional data sets. To deal with such
problems, a wide range of approaches are available. These include "large
p, small n" settings, dimensionality reduction, clustering, manifold
learning, random projections, etc. Such approaches are crucial in
dealing with issues concerning statistical reliability, revealing and
visualizing structure hidden by the high dimensionality and noise, as
well as saving the computation and storage burden.
The purpose of this workshop is two-fold: first to highlight novel
research addressing high dimensionality and at the same bringing in
contact prominent researchers and practitioners in the particular aspect
of big data analysis. The dual keynote talks from both the academia and
the industry emphasize the importance of building bridges between
state-of-the-art research and practical applications.
The workshop's interests range from applications involving high
dimensional data to the theoretical aspects of the problem. In addition,
there is a particular interest in techniques that take advantage of
parallel platforms to effectively handle truly large-scale real-world
problems, and techniques that improve memory efficiency, a premium in
streaming and distributed environments.
The topics of this workshop include, but are not limited to:
- "Large p, small n" settings
- Supervised/unsupervised/semi-supervised dimensionality reduction
- Large-scale network analysis
- Data clustering
- Random Projections for big data
- High-dimensional data streams
- Manifold learning for big data
- Kernel-based approaches for big data
- Non-negative matrix factorization for big data
- Big data applications involving high dimensionality
Important Dates
Aug 20, 2015: Due date for full workshop papers submission
Sept 17, 2015: Notification of paper acceptance to authors
Oct 5, 2015: Camera-ready of accepted papers
October 29-November 1, 2015: Workshop
Workshop Organizers
- Sotiris Tasoulis, Postdoctoral Researcher, Helsinki Institute for
Information Technology HIIT, University of Helsinki, Finland
- Teemu Roos, Assistant Professor, Department of Computer Science,
University of Helsinki, Finland
- Jukka Corander, Professor, Department of Mathematics and
Statistics, University of Helsinki, Finland
Program Committee Members
- Sivaraman Balakrishnan, Postdoctoral Researcher, UC Berkeley, USA
- Jussi Kangasharju, Professor, University of Helsinki, Finland
- Nicos Pavlidis, Lecturer, Lancaster University, UK
- Karl Rohe, Assistant Professor, University of Wisconsin-Madison, USA
- Narayana Prasad Santhanam, Assistant Professor, University of
Hawaii at Manoa, USA
- Wojciech Szpankowski, Professor, Purdue University, USA
- Erik Aurell, Professor, KTH, Sweden
- Timo Koski, Professor, KTH, Sweden
- Zhirong Yang, Research fellow, HIIT, University of Helsinki, Finland
- Liang Wang, Research Associate, University of Cambridge, UK
- Vassilis Plagianakos, Associate Professor, University of Thessaly,
Greece
- Ioannis Konstantinou, Senior Researcher, National Technical
University of Athens, Greece
- Christoforos Anagnostopoulos, Lecturer, Imperial College, London, UK
- Jon Crowcroft, Professor, University of Cambridge, UK
Invited keynote speakers
Academic Keynote Speaker:
- Bin Yu, Chancellor's Professor, Department of Statistics,
Department of Electrical Engineering & Computer Science, UC Berkeley, USA

Industry Keynote Speaker:
- Dimitris Tasoulis, Senior Execution Researcher, Winton Capital
Management, UK
We invite submissions of research papers covering topics relevant to the
theme of the workshop. All submissions will be peer reviewed by three
members of the PC, and accepted papers will be published in the workshop
proceedings (IEEE Press). Detailed formatting and submission
instructions are available at the workshop homepage
www.helsinki.fi/adhdbigdata2015 .
On Behalf of the Organizers,
Sotiris Tasoulis
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