Frew, M. S., Evans, D. L., Londo, A., Cooke, W. H., & Irby, D. (2016). Measuring Douglas-fir crown growth with multi-temporal LiDAR. Forest Science. Society of American Foresters. 62(2), 200-212. DOI:http://dx.doi.org/10.5829/forsci. 14-062. [Abstract]

Alarcon, V. J., Johnson, D., McAnally, W. H., van der zwaag, J., Irby, D., & Cartwright, J. H. (2014). Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-Coupling. Water Resources Management. 28(10), 3227-3240. [Abstract]

Alarcon, V. J., Moorhead, R. J., Irby, D., van der zwaag, J., & McAnally, W. H. (2014). Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-coupling. Water Resources Management. Springer. 28(10), 3227-3240. DOI:10.1007/s11269-014-0671-6.

Fujisaki, I., Evans, D. L., Moorhead, R. J., Irby, D., Mohammadi-Aragh, M. J., Roberts, S. D., & Gerard, P. D. (2008). Stand Assessment Through LiDAR-Based Forest Visualization Using a Stereoscopic Display. Forest Science. 54(1), 1-7.

Fujisaki, I., Mohammadi-Aragh, M. J., Evans, D. L., Moorhead, R. J., Irby, D., Roberts, S. D., Grado, S. C., & Schultz, E. B. (2007). Stand Assessment Using Computer-Visualized Forests. Journal of Landscape and Urban Planning. 81(1), 146-154. [Document]

Evans, D. L., Roberts, S. D., McCombs, J. W., Harrington, R. L., Moorhead, R. J., Irby, D., Wang, T., & Eggleston, N. T. (2002). Beyond Simulation: Use of Remote Sensing and Advanced Visualization Tools to Generate Geospatially Accurate Stand Models. Journal of Forestry.

Carruth, D. W., Garrison, T. M., King, M. D., Jinkerson, J. L., Irby, D., & Sween, R. (2016). Comparison of Effective Field of View for Vehicle Operators in a Virtual Metropolitan Environment. AHFE 2016. Orlando, FL. [Abstract]

King, M. D., Jinkerson, J. L., Garrison, T. M., Irby, D., & Carruth, D. W. (2016). A Quantitative Comparison of Operator Field of View for Vehicle Design. AHFE 2016. Orlando, FL. [Abstract]

Alarcon, V. J., Johnson, D., McAnally, W. H., van der zwaag, J., Irby, D., & Cartwright, J. H. (2014). Design and Deployment of a Dynamic-Coupling Tool for EFDC. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 14th International Conference, Guimarães, Portugal, June 30 – July 3, 2014, Proceedings, Part III: Springer International Publishing. 615-624. DOI:10.1007/978-3-319-09150-1_45. [Abstract]

Irby, D., Mohammadi-Aragh, M. J., Moorhead, R. J., & Amburn, P. (2009). Improving the Understanding of Hurricanes: Visualizing Storm Surge. Proceedings of IEEE Oceans 2009. Biloxi, MS: IEEE.

Mohammadi-Aragh, M. J., Irby, D., Moorhead, R. J., & Schumeyer, R. (2006). CWO Data Mining. DoD HPC Users Group Meeting. Illinois.

Mohammadi-Aragh, M. J., Irby, D., Fujisaki, I., Moorhead, R. J., Evans, D. L., & Roberts, S. (2005). Visualization of Computer-Modeled Forests for Forest Management. EuroVis 2005. 183-190.

Martin, J. P., Moorhead, R. J., Chupa, M., & Irby, D. (2005). Interactive, Cluster-based Visualization. Society for Modeling and Simulation International. 203-208.

Fujisaki, I., Evans, D. L., Moorhead, R. J., Mohammadi-Aragh, M. J., Irby, D., & Roberts, S. D. (2004). Human Factor Integration into the Development of a Realistic Tree Rendering System Based on LiDAR Remote Sensing. IS&T/SPIE 16th Annual Electronic Imaging Symposium. San Clara, CA. 5291.

Black, G., Singh, S., Zhang, S., Mohammadi-Aragh, M. J., & Irby, D. (2016). Exploring 3D Visualization for Malware Analysis. Visualization and Data Analysis. San Francisco, CA: IS&T Electronic Imaging 2016.

Sanyal, J., Amburn, P., Zhang, S., Dyer, J., Irby, D., Zwagg, J. v. d., & Moorhead, R. J. (2011). FloodViz - An Ensemble Enabled Tool for River Flood and Inundation. VisWeek Poster Compendium. Providence, RI.

Sanyal, J., Amburn, P., Zhang, S., Dyer, J., van der zwaag, J., Irby, D., & Moorhead, R. J. (2011). FloodViz - A Visualization Tool for River Flow and Inundation Simulation. IEEE Visweek Poster Compendium. Providence, RI.

VanRiessen, H., Irby, D., Rice, B., Crumpton, J., Sassenrath, G. F., Schmidt, A. M., & Tagert, M. L. (2013). Implementation of the Mississippi Irrigation Scheduling Tool in a Dynamic Web-based Format. Conference Proceedings of the 2013 ASABE Annual Meeting. Kansas City, MO, USA: ASABE. [Abstract]

Irby, D., & van der zwaag, J. (2013). FloodViz - Visual Analytics for Assessment and Interpretation of Simulated River Flooding. Virtual Costal GeoTools 2013. Myrtle Beach, SC (online conference). [Abstract]

van der zwaag, J., Reed, D., Graschel, J., Welch, D., Costanza, K., Amburn, P., Dyer, J., Moorhead, R. J., Zhang, S., Irby, D., & Sanyal, J. (2011). FloodViz - Visual Analytics for Assessment and Interpretation of Simulated River Flooding - Presentation. 2011 Northern Gulf Institute Conference. Mobile, AL: Northern Gulf Institute. [Abstract] [Document Site]

Amburn, P., Dyer, J., Graschel, J., Irby, D., Moorhead, R. J., Ramirez, D., Reed, D., Sanyal, J., Zhang, S., & van der zwaag, J. (2010). FloodViz: Visual Analytics for Assessment and Interpretation of Simulated River Flooding. 2010 Northern Gulf Institute Conference. NGI Annual Meeting Mobile, AL. [Document]

Irby, D., Mohammadi-Aragh, M. J., Moorhead, R. J., & Amburn, P. (2009). Improving the Understanding of Hurricane Visualizing WISDOM and UAS. Northern Gulf Institute Annual Conference. Mobile, AL.

Mohammadi-Aragh, M. J., Irby, D., Sanyal, J., Amburn, P., Moorhead, R. J., Zhang, S., & Wu, K. (2008). Improving Public Understanding of Catastrophic Events. NGI Annual Meeting. Biloxi, MS.

Mohammadi-Aragh, M. J., Irby, D., Zhang, S., & Moorhead, R. J. (2007). Visualization Techniques for Improving Public Understanding of Catastrophic Events. NOAA NGI Annual Meeting. Biloxi, MS.

Cai, S., Du, Q., Moorhead, R. J., Mohammadi-Aragh, M. J., & Irby, D. (2006). Noise-Adjusted Principle Component Analysis For Hyperspectral Remotely Sensed Imagery Visualization. IEEE Visualization 2005 Proceedings Compendium. 119-120.

Irby, D., Mohammadi-Aragh, M. J., Fujisaki, I., Moorhead, R. J., Evans, D. L., & Roberts, S. D. (2005). Forestry Visualization Based on LiDAR Remote Sensing. AppliedVis 2005.

Chupa, M., Mogill, J. A., Irby, D., Moorhead, R. J., Shriver, J. F., & Flynn, P. M. (2004). EnVis/Hum: High-resolution Ocean Model Visualization and Display. Association of American Geographers 100th Annual Meeting. Philadelphia, PA.

Fujisaki, I., Moorhead, R. J., Evans, D. L., Mohammadi-Aragh, M. J., Irby, D., & Roberts, S. D. (2004). Realistic Forest Visualization in a Virtual Environment Based on LiDAR. Association of American Geographers 100th Annual Meeting. Philadelphia, PA.

Mohammadi-Aragh, M. J., Moorhead, R. J., Irby, D., Evans, D. L., Fujisaki, I., & Roberts, S. D. (2003). Rendering Realistic Pine Trees from LIDAR Data in a Virtual Forest. ASPRS Annual Conference. Fairbanks, Alaska.

Fujisaki, I., Evans, D. L., Moorhead, R. J., Irby, D., Mohammadi-Aragh, M. J., & Roberts, S. D. (2003). LiDAR Based Forest Visualization: Modeling Forest Stands and User Studies. ASPRS Annual Conference. Fairbanks, Alaska.

Evans, D. L., Roberts, M., McCombs, J. W., Moorhead, R. J., Irby, D., & Wang, T. (2001). Forest Visualization through Development of Prototypical Models of Stands from LIDAR and Multi-Spectral Data. Third International Conference on Geospatial Information in Agriculture and Forestry. Denver, CO.

Watson, M., Eggleston, N. T., Irby, D., Moorhead, R. J., & Evans, D. L. (2000). A Virtual Reality Interface for Analyzing Remotely Sensed Forestry Data. SIGGRAPH 2000 Conference Abstracts and Applications, Sketches and Applications. New Orleans, LA. 273.

Watson, M., Eggleston, N. T., Irby, D., Moorhead, R. J., & Evans, D. L. (2000). X - A Virtual Reality Interface for Analyzing Remotely Sensed Forestry Data. SIGGRAPH 2000 Conference Abstracts and Applications, Sketches and Applications. New Orleans, LA. 273.

van der zwaag, J., Irby, D., Sanyal, J., Amburn, P., Dyer, J., & Zhang, S. (2011). FloodViz - Visual Analytics for Assessment and Interpretation of Simulated River Flooding. 2011 Northern Gulf Institute Conference. Mobile, AL: Northern Gulf Institute. [Document Site]

Sanyal, J., Amburn, P., Irby, D., van der zwaag, J., Zhang, S., & Moorhead, R. J. (2010). Level-of-Detail for Terrain Rendering. Northern Gulf Institute Annual Conference. Mobile, AL. [Document]

Irby, D., Mohammadi-Aragh, M. J., Moorhead, R. J., Amburn, P., & Wasson, L. L. (2010). WISDOM: Predictive Maps and Visualization. NOAA NGI Annual Meeting. Mobile, AL: Northern Gulf Institute. [Document] [Document Site]

Mohammadi-Aragh, M. J., Irby, D., Amburn, P., & Moorhead, R. J. (2009). Improving the Understanding of Hurricanes: Visualizing Storm Surge. NOAA NGI Annual Meetin. Mobile, AL.

Mohammadi-Aragh, M. J., Irby, D., Moorhead, R. J., & Amburn, P. (2009). The UAS and WISDOM Visualization System. NOAA NGI Annual Meeting. Mobile, AL.

Mohammadi-Aragh, M. J., Irby, D., Zhang, S., & Moorhead, R. J. (2007). Visualization Techniques for Improving Public Understanding of Catastrophic Events. IEEE Visualization Poster Compendium.

Madsen, J. D., Amburn, P., Brown, R., Dibble, E. D., Ervin, G. N., Abbott, C. F., Brooks, C., Irby, D., Lee, S. M., Maddox, V. L., Schulz, R., Wasson, L. L., Wersal, R. M., Woolf, T., McBride, D. W., & Madsen, N. (2012). Research to Support Integrated Management Systems of Aquatic and Terrestrial Invasive Species. Geosystems Research Institute Report GRI#5051. Mississippi State University: Geosystems Research Institute. [Document]

Madsen, J. D., Amburn, P., Brown, R. L., Dibble, E. D., Ervin, G. N., Shaw, D. R., Abbott, C. F., Baker, G., Bloem, K., Brooks, C., Irby, D., Lee, S., Maddox, V. L., Rose, R., Schulz, R., Wallace, L., Wasson, L. L., Welch, M., Wersal, R. M., McBride, D. W., & Madsen, N. (2011). Research to Support Integrated Management Systems of Aquatic and Terrestrial Invasive Species: Annual Report, 2010. GRI Report #5047. Mississippi State University: Geosystems Research Institute. [Document]

Irby, D. (2011). FloodViz: River Models and Computer Graphics. Dauphin Island, AL; Dauphin Island Sea Lab.

Irby, D. (2005). Best Graduate Student Poster Award, Applied Visualization Conference. Applied Visualization Conference.