After earning my PhD in computer science from the Ohio State University, I started my academic career at the University of Tennessee, becoming an assistant professor in 2001 and later 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 Wordle.

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

1. Robert Sisneros, Jian Huang, George Ostrouchov, Sean Ahern and David Semeraro, "Contrasting Climate Ensembles: A Model-Based Visualization Approach for Analyzing Extreme Events", Proc. of Intl Conf on Computational Science (ICCS), pp. ??-??, Barcelona, Spain, June, 2013.
2. Jingyuan Wang, Roberto Sisneros and Jian Huang, "Interactive Selection of Multivariate Features in Large Spatiotemporal Data", Proc. of IEEE Pacific Visualization Symposium, Sydney, Australia, Feb, 2013. pdf
3. Scott Simmerman, James Osborne and Jian Huang, "Eden: Simiplified Management of Atypical HPC Jobs", IEEE Computing in Science and Engineering (CiSE), ?(?), pp. ??-??, in press, 2012. url
4. Amy Szczepanski, Troy Baer, Yashema Mack, Jian Huang and Sean Ahern, "Data Analysis and Visualization in High-Performance Computing", IEEE Computer, 46(5), pp. 84-92, 2013. url
5. Wesley Kendall, Jian Huang and Tom Peterka, "Geometric Quantification of Features in Large Flow Fields", IEEE Computer Graphics and Applications (Special Issue on Extreme Scale Analytics), 32(4), pp. 50-59, 2012. pdf
6. Wesley Kendall, Jingyuan Wang, Melissa Allen, Tom Peterka, Jian Huang, and David Erickson, "Simplified Parallel Domain Traversal", Proc. of SC'11, pp. 10:1-10:11, November 2011, Seattle, WA. (SC'11 best student paper award) pdf
7. Ken Moreland, Wesley Kendall, Tom Peterka, and Jian Huang, "An Image Compositing Solution at Scale", Proc. of SC'11, pp. 25:1-25:10, November 2011, Seattle, WA. pdf
8. 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
9. 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, pp. 15:1-15:2, November 2009, Portland, OR. pdf
10. 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

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

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