Call for Papers

The purpose of our workshop is to bring together researchers, developers and practitioners in artificial intelligence, adaptive computing and high performance computing to identify common interests, requirements, capabilities, and solutions in edge sensing and processing. 

An increasingly instrumented world has produced massive amounts of data of which only a small fraction is necessary to facilitate knowledge discovery. Managing and gleaning value from the data has become a complex problem demanding new AI-enabled adaptive computational solutions for reducing complexity and accelerating inference at the edge. We are especially interested in approaches that operate successfully in a highly dynamic environment. The dynamism is driven by changes in technology, opportunities, and available data sets. Further, we are especially interested in algorithms that can manage the dynamism on resource-constrained edge devices at the point of need. The edge can mean, among other things, a remote location of a test, experiment or training event, the edge of a military deployment, or the edge of fixed infrastructure. Research in this area has multiple objectives: diminish bottlenecks, minimize data movement, reduce computational complexity of algorithms, and present actionable results with reduced cognitive workload on the end-user. The flexibility of machine learning algorithms presents an opportunity to dynamically adapt task execution and implement results throughout a network to meet changing requirements and available resources. Research is required to utilize adaptive edge and high performance computing, model reduction, and containers to produce a converged solution.

We will select the top six papers from the workshop, edit them to conform to journal requirements, and submit the collection as a special section of an IEEE journal following the workshop.

Submission Guidelines:

Papers should be no more than 10 pages in length, 2-column format. Submitted papers must be original work and not previously published or under consideration for another conference or journal.

Click buttons for conference template and paper submission.

Workshop Chairs

• • • • • • • • • Dr. J. Michael Barton, Army Research Laboratory DOD Supercomputing Resource Center & Parsons

                • Dr. Venkat Dasari, DEVCOM Army Research Laboratory Research Office

                • Mr. Brian Panneton,  DEVCOM Army Research Laboratory

                • Dr. Simon Su, National Institute of Standards and Technology

                • Ms. Virginia To, Energetics Technology Center

Program Committee

• Dr Rajneesh Singh, DEVCOM Army Research Laboratory

• Dr. Rick Vinyard, Sandia National Laboratory

• Dr. Rhonda Vickery, Wright State University

• Dr. Robert Lucas, ANSYS