BDCAA 2020: The 2nd IEEE International Workshop on Big Data Computation, Analysis & Applications
Call for Papers
Goal of the workshop:
The workshop aims to solicit cooperation and discussions among researchers specializing in interdisciplinary and complimentary domains that leverage applications that generate and analyze big data on High Performance Computing (HPC) resources.
Workshop theme: Big Data Analysis Driving Interdisciplinary Innovation
Technological, medical, scientific, and societal advancements are more and more realized via applications that are driven by the expertise of researcher at the intersection of multiple domains. Disciplines that in the past did not collaborate extensively are more and more working on joint projects that require the smart synthesis of ideas and domain-specific skills. Many facets of interdisciplinary projects that aim to deliver smart solutions to address critical problems bring about challenges and opportunities. This workshop will solicit manuscripts for presentation and discussion of the computation and analysis challenges of interdisciplinary projects drawing from the expertise of a variety of disciplines.
Scope of the workshop:
This workshop welcomes any research addressing the big question of “How do applications in various domains leverage HPC to generate and analyze big data for solving societal problems?” Researchers are invited to submit and ultimately present state of the art solutions requiring the analysis or generation of big data using HPC resources, for decision making. Topics of interest include, but are not limited to, the following:
- Big data, data-driven medical diagnosis and analysis
- Real-time decision making for compute in the edge
- Use of large-scale distributed system such as supercomputers, grids, or clouds
- Theoretical Considerations and Analysis of Big Data Applications in the cloud
- Data dimensionality reduction techniques for large scale analysis of biological data
- Visual data analytics for large-scale and/or high-dimensional data
- Big data, smart sampling and analysis techniques for medical decision making
- Large-scale mobile sensor data for just-in-time health care intervention
Likely participants: Interdisciplinary scientists, including bio-informaticians, HPC computing specialists, HCI researchers, and others.