After earning a PhD in computer science from the Ohio State University, I started my academic career in 2001 at the University of Tennessee, where I became an assistant professor and then an associate professor in 2007. Thanks to support by my colleagues and great work by my students, I was a past winner of DOE Early Career Principal Investigator (ECPI) Award, UTK Chancellor's Professional Promise Award in Research and Creative Achievement, and College of Engineering Research Fellow Award. I had the great honor to be named "ACM Faculty of The Year" by EECS students for the academic year of 2009-2010.

My research expertise includes ultrascale scientific visualization areas such as large data visualization, multivariate data visualization and time-varying data visualization, as well as systems oriented areas of visualization such as parallel, distributed, remote and collaborative visualization. Our research has been funded by Department of Energy, National Science Foundation, NASA and UT-Battelle. Please refer to my group's research highlight pages at Seelab Research.

The following is a word cloud visualization of my research papers since 2001. This word cloud was rendered using the very cool visualization tool: Wordle. If your browser cannot show this (in SVG format), please try Chrome or Safari.

For a bird's eye view of ultrascale visualization, please see a recent featured article: "Next-Generation Visualization Technologies: Enabling Discoveries at Extreme Scale", by Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Ken Moreland, Jian Huang and Robert Ross, in SciDAC Review, Vol. 12, pp. 12 - 21, Spring 2009.

Over the years, myself, my students and staff members have written and released the following research software. These packages are useful for developing large scale data analysis and visualization applications. We welcome comments and would be more than happy to answer your questions if you'd like to try them out.

• VCB - Visualization CookBook library, LGPL, funded by NSF ACI, CNS and DOE ECPI
• SQI - Scalable Querying Interface, LGPL, funded by DOE SciDAC Ultravis and DOE ECPI
• BIL - Block IO Layer, LGPL, funded by DOE SciDAC Ultravis
• Eden - Scalable automation of parameter sweeps etc., BSD, funded by NSF-OCI RDAV

CS302 Fundamental Algorithms

CS360 Systems Programming

CS361 Operating System

CS456 Computer Graphics

CS494/594 Networked Games

CS594 Visualization & Adv. Computer Graphics

CS494/594 Computer Graphics

HPC for General Data Analysis and Visualization

Multivariate Temporal Features in Scientific Data

Parallel Visualization - An Introduction

Remote Visualization - A Survey

Program Committee, IEEE Symp. on Large-Scale Data Analysis & Visualization, 2011

Program Committee, DMESS Workshop, Intl Conf. on Computational Sciences, 2011

Program Committee, Intl Conference on CAD & Graphics, 2011

Program Committee, IEEE Pacific Visualization Symposium, 2009-2011

Proposal Panelist, DOE Office of Science, 2007, 2009-2011

Proposal Panelist, National Science Foundation, 2008, 2010, 2011

Program Committee, IEEE Visualization Conference, 2008-2010

Proposal Panelist, American Association for Advancement of Science, 2010

Proposal Reviewer, G8 Research Councils, 2010

Program Committee, Eurographics Symp. on Parallel Graphics & Visualization, 2004, 2006, 2008

Conference Committee, IEEE Visualization Conference, 2005 and 2006

Program Committee, International Workshop on Volume Graphics, 2005

1. Wesley Kendall, Jingyuan Wang, Melissa Allen, Tom Peterka, Jian Huang, and David Erickson, "Simplified Parallel Domain Traversal", Proc. of SC'11, November 2011, Seattle, WA. (SC'11 best student paper award) pdf
2. Ken Moreland, Wesley Kendall, Tom Peterka, Jian Huang, "An Image Compositing Solution at Scale", Proc. of SC'11, November 2011, Seattle, WA. pdf
3. Wesley Kendall, Jian Huang, Tom Peterka, Rob Latham and Robert Ross, "Visualization Viewpoints: Towards a General I/O Layer for Parallel Visualization Applications", IEEE Computer Graphics and Applications, 31(6), pp. 6-10, 2011. pdf
4. Xiaoru Yuan, Xiao He, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, Yongxian Zhang, "Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data", IEEE Transactions on Visualization and Computer Graphics, 16(6), pp. 1413-1420, 2010. pdf
5. Wesley Kendall, Markus Glatter, Jian Huang, Tom Peterka, Robert Latham and Robert Ross, "Terascale Data Organization for Discovering Multivariate Climatic Trends", Proc. of SC'09, November 2009, Portland, OR. pdf
6. C. Ryan Johnson and Jian Huang, "Distribution Driven Visualization of Volume Data", IEEE Transactions on Visualization and Computer Graphics, 15(5), pp. 734-746, 2009. pdf
7. Markus Glatter, Jian Huang, Sean Ahern, Jamison Daniel and Aidong Lu, "Visualizing Temporal Patterns in Large Multivariate Data using Modified Globbing", IEEE Transactions on Visualization and Computer Graphics, 14(6), pp. 1467-1474, 2008. pdf
8. Joshua New, Wesley Kendall, Jian Huang, Elissa Chesler, "Dynamic Visualization of Gene Coexpression in Systems Genetics Data", IEEE Transactions on Visualization and Computer Graphics, 14(5), pp. 1081-1094, 2008. pdf
9. Qishi Wu, Jinzhu Gao, Mengxia Zhu, Nageswara Rao, Jian Huang and S. Sitharama Iyengar,"Self-Adaptive Configuration of Visualization Pipeline over Wide-Area Networks", IEEE Transactions on Computers, 57(1), pp. 55-68, 2008. pdf
10. Robert Sisneros, Chad Jones, Jian Huang, Jinzhu Gao, Byung-Hoon Park and Nagiza Samatova,"A Multi-Level Cache Model for Run-Time Optimization of Remote Visualization", IEEE Transactions on Visualization and Computer Graphics, 13(5), pp. 991-1003, 2007. pdf

Please refer to this page for a complete list of my publications.