COMPSAC 2022 will be completely virtual as it was in 2020 and 2021, and all presentations will be done virtually. We will announce this update also in the submission acceptance letters to authors. Authors of accepted papers will be required to provide a video of their presentation together with the submission of the final version of their papers. COMPSAC will provide detailed guidance regarding preparation and submission of these videos.

The 4th IEEE International Workshop on Big Data Computation, Analysis, and Applications (BDCAA 2022)

Goal of the workshop: 

The workshop aims to solicit cooperation and discussions among researchers specializing in interdisciplinary and complementary 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 researchers 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 systems 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. 

Please visit Information for Authors for formatting instructions, page limits, and IEEE paper templates.

Important dates for submission and notification are listed here.

Workshop Organizers

Shameem Ahmed, Western Washington University

Filip Jagodzinski, Western Washington University

Tanzima Islam, Texas State University

Program Committee

(to be confirmed)

Shameed Ahmed, Western Washington University, USA

Filip Jagodzinkski, Western Washington University, USA

Tanzima Islam, Texas State University, USA

Muntasir Raihan Rahman, Microsoft, USA

Mahbubur Rahman, Samsung Research America, USA