<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<span style="background-color:rgb(255, 255, 255);display:inline !important">Call for Papers: A Special Issue of <span> </span></span><span style="margin:0px;color:blue;background-color:rgb(255, 255, 255)">Journal of Flow Visualization and Image Processing
(JFVIP)</span><span style="background-color:rgb(255, 255, 255);display:inline !important"></span>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><span style="margin:0px;color:blue">Numerical Flow Visualization: From the Perspectives of Computer Graphics and Machine Learning</span></div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">(<span style="margin:0px;color:blue">https://www.begellhouse.com/journals/flow-visualization-and-image-processing.html</span><span style="margin:0px;color:blue">)</span></div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Due of Submission: August 31, 2021</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Paper length (recommended maximum): 5000 words in text; 4-6 figures</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Founded in the early 1990s for quarterly publishing, JFVIP has a well-established readership base, while authors see it primarily as a journal of flow imaging from the measurement viewpoint. Image
formation from experiments and simulations is a fundamental component of the journal. Flow data arising from numerical simulation encodes a wealth of information that needs to be extracted and displayed so as to gain insight into the pattern. In this respect,
it is an increasingly important task to process, represent, visualize, and analyze flow data. This paradigm maps an array of discrete data values either to geometric elements followed by graphics rendering or directly to pixels. Coupled with this visualization
pipeline is an emerging pre-processing stage of great promise that unleashes the power of artificial intelligence, particularly machine learning, to perform feature detection and pattern recognition. In light of the importance of computer graphics and machine
learning to data analysis, we bring in numerical flow visualization to serve our core purpose of extracting and exploiting information towards scientific discovery.</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Numerical flow visualization is focused on velocity vector data (accompanied by scalar variables such as pressure and temperature) resulting from Computational Fluid Dynamics (CFD) simulation of complex
systems, processes, or phenomena, e.g., wind/air flows, ocean currents, combustion, electromagnetic fields, and blood flows. Also addressed are velocity vector data obtained from laboratory-scale experiments or imaging modalities, e.g., Diffusion Tensor Imaging
(DTI) of cardiovascular blood flows and neural fibers in the human body. As flow data range from planar to surface and further to volumetric domains, from steady to unsteady cases, from structured to unstructured grids, and from Megabyte to Terabyte and even
to Exabyte scales, these factors pose daunting challenges to representation, display, exploration, and analysis of complex structures. Algorithm research and system development revolving around these topics, among others, will contribute to advances in numerical
flow visualization.</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">This special issue is an initiative for significantly expanding the scope of the journal to include computer graphics and machine learning so that a variety of numerical methodologies are utilized
to achieve effective flow visualization. Original submissions and review articles are both welcome.</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)"><br>
</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Guest Editors</div>
<div style="margin:0px;background-color:rgb(255, 255, 255)">Zhanping Liu (z<span style="margin:0px;color:rgb(134, 17, 6)"><b>1</b></span>Liu@odu.edu), Old Dominion University</div>
<span style="background-color:rgb(255, 255, 255);display:inline !important">K. Muralidhar (Editor-in-Chief of JFVIP, kmurli@iitk.ac.in), IIT Kanpur (India)</span></div>
<div>
<div id="Signature">
<div>=================================================<br>
Dr. Zhanping Liu / <a href="http://www.zhanpingliu.org/" target="_blank">www.zhanpingliu.org</a>
</div>
</div>
</div>
</body>
</html>