BDCAA-2019: The 1st IEEE International Workshop on Big Data Computation, Analysis, and Applications |
Website | https://ieeecompsac.computer.org/2019/bdcaa/ |
Submission link | https://easychair.org/conferences/?conf=bdcaa2019 |
Submission deadline | April 15, 2019 |
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.
Venue:
The conference will be held in conjuction with COMPSAC'19 from July 15-19, 2019 and will be hosted by Marquette University, Milwaukee, Wisconsin, USA.
Workshop theme: Challenge and opportunities in Interdisciplinary Data-Driven Projects
Technological, medical, scientific, and societal advancements are realized via applications that are driven by the expertise of the researcher at the intersection of multiple domains. Disciplines that in the past did not collaborate extensively are more likely to work on joint projects that require the synthesis of ideas and domain-specific skills. Many facets of interdisciplinary projects that aim to deliver novel 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.
Deadline
April 15, 2019
Submission Guidelines
Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted except as highlighted at the COMPSAC 2019 J1C2 & C1J2 page. In accordance with IEEE policy, submitted manuscripts will be checked for plagiarism. Instances of alleged misconduct will be handled according to the IEEE Publication Services and Product Board Operations Manual. The following paper categories are welcome:
- Full papers (10 pages including tables, figures, appendices, and references) describe novel research with exciting results that have been thoroughly validated
- Short papers (6 pages including tables, figures, appendices, and references) describe work-in-progress projects that have encouraging preliminary results and clearly articulate the plan for leveraging these results
IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format. Please clearly mark your paper as a short or a full paper to help with the review process.
List of Topics
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-drivenmedical diagnosis and analysis
- Real-time decision making for compute in the edge
- Use of large-scale distributed system such as supercomputers, grids, or clouds
- 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
Committees
Program Committee
- Moushumi Sharmin, Western Washington University
- Tanzima Islam, Western Washington University
- Filip Jagodzinski, Western Washington University
- Renzhi Cao, Pacific Lutheran University
- Hillol Sarker, IBM Cambridge Research Center, Cambridge, MA USA
- Mahbubur Rahman, Samsung Research America, CA, USA
Organizing committee
- Tanzima Islam, Western Washington University
- Filip Jagodzinski, Western Washington University
- Shameem Ahmed, Western Washington University
Contact
All questions about submissions should be emailed to ...