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Call for papers Conferences

BDTA 2017 is calling for papers!

The 8th EAI International Conference on Big Data Technologies and Applications (BDTA 2017), will take place in Gwangju, South Korea on November 23-24, 2017.

Due to the explosive evolution of Information Technology and Computer Science, we have entered in the Big Data Age. As always, the technological aspects evolve faster than the scientific community mentality. Transforming Big Data into Big Knowledge and developing a new kind of Knowledge-Based Systems require new visions and approaches. BDTA 2017 aims to explore such dynamics and solicits original and inspiring research contributions from technology experts, researchers, designers, practitioners in academia, authorities, and industry, in the following potential topics of interest:

·     Data Visualization and Visual Analytics;

·     Natural Language Processing in Big Texts;

·     Biomedical imaging pre-processing and Analysis;

·     Hardware and Software solutions for Big Data Searching, Storing and Management;

·     Structured and Unstructured Data/Text/Web Mining;

·     Deep Learning Architecture, representations, unsupervised and supervised algorithms;

·     Scalable computational intelligence tools;

·     Novel Computational Intelligence approaches for data analysis;

·     Evolutionary and Bio-inspired approaches for Big Data analysis;

·     New domains and new applications related to Big Data technologies.

Accepted papers will be published in the IISSC Conference Proceedings and by Springer-Verlag in the Lecture Notes of ICST (LNICST). Proceedings are submitted for inclusion to the leading indexing services: Elsevier (EI), Thomson Scientific (ISI), Scopus, Crossref, Google Scholar, DBLP. Best Papers will be considered for publication in Mobile Networks and Applications (Springer) the EAI Endorsed Transactions on Scalable Information Systems.

If you need further information about BDTA 2017, visit the conference official website.

Categories
Interviews

Prof. Wang, MOBIMEDIA: 'Visual computing for the future of the IoT, cloud and Big Data'

With research interests that include networking, wireless sensor networks, multimedia communication, network and information security, software engineering and programming, embedded sensory system, biomedical computing, and pattern recognition, over 100 published papers and 30 publication in prestigious IEEE journals, Prof. Honggang Wang is an assistant professor at UMass Dartmouth and is an affiliated faculty member of Advanced Telecommunications Engineering Laboratory at University of Nebraska-Lincoln. Prof. Wang will be the General Chair of the 8th International Conference on Mobile Multimedia Communications, MOBIMEDIA 2015. Prof. Wang answers three questions related to the conference itself and the developments in visual computing and mobile computing.

As General Chair of MOBIMEDIA 2015, which big questions about processing and delivery of multimedia contents do you expect to emerge from the conference?

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Prof. Honggang Wang, General Chair of MOBIMEDIA 2015

Can multimedia contents be smoothly distributed anytime, anywhere to users to meet their Quality of Experience requirements in an energy efficient manner?

What should we expect from the latest developments in Visual Computing and content sharing?

The development of Visual computing and content sharing will enable many exciting multimedia applications of cloud, Internet of Things and Big Data.

What is the main contribution that research can bring to the current debate on privacy and security in mobile computing?

In recent years, privacy and security issues in Mobile computing have been raised by many mobile applications such as mobile healthcare. The solutions offered by the research target at the minimizing the security risk and maximize the privacy protections to users while keeping the resource and cost efficiency of mobile computing.