Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory


Ming Jiang


Email: ming@llnl.gov
Phone: 925-424-4361


Ming Jiang is a computer scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). His current research focuses on developing large-scale data analysis and scientific visualization algorithms for data intensive architectures. His research interests include flow visualization, feature detection, image processing, out-of-core techniques, and multiresolution analysis.

Ming joined LLNL in 2005 as a postdoctoral researcher in the Data Analysis Group in CASC, developing scalable and progressive techniques for large format imagery and streaming geospatial data. He has been a co-principal investigator and task lead on several collaborative research projects, such as real-time space situational awareness, verification & validation of geospatial algorithms, and data-centric architectures.

Ming received his Ph.D. degree in Computer Science and Engineering from The Ohio State University (OSU) in 2005. His dissertation focused on developing a feature-based approach to visualizing and mining large-scale simulation data. He received his B.S. degree in Computer and Information Science with a minor in Mathematics from OSU in 1999 and graduated with Honors and Distinction.


Professional Activities

  • Program Committee:
    • IEEE Visualization Conference, 2010 – 2012
    • International Symposium on Visual Computing (ISVC), 2010 – 2014
    • Visualization and Data Analysis (VDA), 2011 – 2014
    • IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2012, 2014
  • Conference Committee:
    • Student Volunteers Chair, IEEE Visualization Conference, 2006 – 2007
    • Birds-of-a-Feather co-Chair, IEEE Visualization Conference, 2008 – 2009
    • Session Chair for “Vector and Tensor Data”, IEEE Visualization Conference, 2010
  • Review Panelist:
    • DOE Office of Science, Advanced Scientific Computing Research (ASCR), 2009
    • NSF Information & Intelligent Systems, Graphics & Visualization, 2010
    • DOE Office of Science, Small Business Innovation Research (SBIR), 2010
    • DOE Office of Nonproliferation and Verification R&D (NA-22), 2011
    • LLNL Laboratory Directed Research and Development (LDRD), 2012 – 2013
  • Co-editor:
    • LNCS Advances in Visual Computing, Volume 6938, Springer, 2011

Honors & Awards

  • Certificate of Appreciation in Science Fellows' Symposium, Monsanto, 2011
  • DOE Outstanding Mentor Award, LLNL, 2008
  • Best Talk Award in Computing Applications and Research Showcase, LLNL, 2007
  • Finalist in the Graduate Associate Teaching Award, OSU, 2005
  • Outstanding Research Award in Computer Science and Engineering, OSU, 2005
  • Excellence in Scholarship Award, OSU, 1999
  • Honor Society: Phi Beta Kappa 1999, Upsilon Pi Epsilon 1999, and Phi Kappa Phi 1998

Selected Publications

  • C. Harrison, P. Navratil, M. Mossalem, M. Jiang, H. Childs, “Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python”, Workshop on Python for High Performance and Scientific Computing (PyHPC), held in conjunction with ACM/IEEE Conference on Supercomputing (SC), pp. 11-20, November 2012.
  • M. Jiang, W. de Vries, A. Pertica, and S. Olivier, “Computing and Visualizing Reachable Volumes for Maneuvering Satellites”, 12th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), September 2011.
  • R. Roberts, P. Pope, R. Vatsavai, M. Jiang, L. Arrowood, T. Trucano, S. Gleason, A. Cheriyadat, A. Sorokine, A. Katsaggelos, T. Pappas, L. Gaines, and L. Chilton, “Design of Benchmark Imagery for Validating Facility Annotation Algorithms”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1453-1456, July 2011.
  • B. Summa, G. Scorzelli, M. Jiang, P.-T. Bremer, and V. Pascucci, “Interactive Editing of Massive Imagery Made Simple: Turning Atlanta into Atlantis”, ACM Transactions on Graphics (ToG), 30(2), April 2011.
  • M. Jiang, M. Andereck, A. Pertica, and S. Olivier, “A Scalable Visualization System for Improving Space Situational Awareness”, 11th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), pp. 603-612, September 2010.
  • R. Roberts, T. Trucano, P. Pope, C. Aragon, M. Jiang, T. Wei, L. Chilton, and A. Bakel, “On the Verification and Validation of Geospatial Image Analysis Algorithms”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 174-177, July 2010.
  • S. Olivier, K. Cook, B. Fasenfest, D. Jefferson, M. Jiang, J. Leek, J. Levatin, S. Nikolaev, A. Pertica, D. Phillion, K. Springer, and W. de Vries, “High-Performance Computer Modeling of the Cosmos-Iridium Collision”, 10th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), pp. 720-731, September 2009.
  • M. Jankun-Kelly, D. Thompson, M. Jiang, B. Shannahan, and R. Machiraju, “Vortex Characterization for Engineering Applications”, AIAA 46th Aerospace Sciences Meeting and Exhibit, Paper 2008-0929, January 2008.
  • M. Jankun-Kelly, M. Jiang, D. Thompson, and R. Machiraju, “Vortex Visualization for Practical Engineering Applications”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 12(5):957-964, September-October 2006.
  • M. Jankun-Kelly, D. Thompson, W. Brewer, M. Jiang, and R. Machiraju, “A Multistage Vortex Visualization Algorithm”, AIAA 44th Aerospace Sciences Meeting and Exhibit, Paper 2006-0946, January 2006.
  • G. Craciun, M. Jiang, D. Thompson, and R. Machiraju, “Spatial Domain Wavelet Design for Feature Preservation in Computational Datasets”, IEEE Transactions on Visualization and Computer Graphics (TVCG), 11(2):149-159, March-April 2005.
  • R. Machiraju, S. Parthasarathy, J. Wilkins, D. Thompson, B. Gatlin, D. Richie, T.-S. Choy, M. Jiang, S. Mehta, M. Coatney, S. Barr, and K. Hazzard, “Mining Temporally-Varying Phenomena in Scientific Datasets”, Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, eds, AAAI Press/The MIT Press, pp. 273-290, 2004.
  • M. Jiang, R. Machiraju, and D. Thompson, “Detection and Visualization of Vortices”, The Visualization Handbook, C. Johnson and C. Hansen, eds, Academic Press, pp. 287-301, 2004.
  • M. Jiang, T.-S. Choy, S. Mehta, M. Coatney, S. Barr, K. Hazzard, D. Richie, S. Parthasarathy, R. Machiraju, D. Thompson, J. Wilkins, and B. Gatlin, “Feature Mining Paradigms for Scientific Data”, Third SIAM International Conference on Data Mining (ICDM), pp. 13-24, May 2003.
  • M. Jiang, R. Machiraju, and D. Thompson, “Geometric Verification of Swirling Features in Flow Fields”, IEEE Visualization Conference, pp. 307-314, October 2002.
  • D. Thompson, R. Machiraju, M. Jiang, J. Nair, G. Craciun, and S. Venkata, “Physics-Based Feature Mining for Large Data Exploration”, IEEE Computing in Science & Engineering (CiSE), 4(4):22-30, July-August 2002.
  • S. Venkata, M. Jiang, D. Thompson, and R. Machiraju, “Automated Detection of Vortex Cores and Separated Flows in CFD Datasets”, Eighth International Conference on Numerical Grid Generation in Computational Field Simulations, June 2002.
  • M. Jiang, R. Machiraju, and D. Thompson, “A Novel Approach to Vortex Core Region Detection”, Joint Eurographics – IEEE TCVG Symposium on Visualization (VisSym), pp. 217-225, May 2002.
  • G. Craciun, D. Thompson, R. Machiraju, and M. Jiang, “A Framework for Filter Design Emphasizing Multiscale Feature Preservation”, Third Workshop on Mining Scientific Datasets, held in conjunction with First SIAM International Conference on Data Mining (ICDM), pp. 105-111, April 2001.

Selected Presentations

  • “LLNL: Visualization, Rendering and GPUs”, DreamWorks Animation, Glendale, CA, March 2012.
  • “Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms”, NNSA/NA-22 Simulation, Algorithms and Modeling Program Review, Berkeley, CA, February 2011. (poster)
  • “NAPA: Rapid Exploration and Progressive Processing of Large Format Imagery”, Monsanto Science Fellows' Symposium, St. Louis, MO, February 2011.
  • “A Scalable Visualization System for Improving Space Situational Awareness”, 11th Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, HI, September 2010. (poster)
  • “Iridium 33 – Cosmos 2251 Collision Simulation and Visualization”, Oceanit, Honolulu, HI, April 2010.
  • “NAPA: Rapid Exploration and Progressive Processing of Large Format Imagery”, Motion Imagery Standards Board Conference, Herndon, VA, May 2009.
  • “Synthetic Geospatial V&V Assessment”, NNSA/NA-22 Simulation, Algorithms and Modeling Program Review, Livermore, CA, April 2009. (poster)
  • “Novel Architectures and Progressive Algorithms for Real-Time Analysis of Streaming Data”, Center for Advanced Signal and Image Science Workshop, Livermore, CA, November 2008.
  • “Space Situational Awareness Toolkit Demonstration”, LLNL Global Security Showcase, Livermore, CA, June 2008.
  • “Scalable and Progressive Techniques for Massive Geospatial Datasets”, LLNL Institutional Postdoctoral Poster Symposium, Livermore, CA, May 2008. (poster)
  • “Novel Architectures for Progressive Image Analysis”, Stanford Linear Accelerator Center, Menlo Park, CA, February 2008.
  • “Scalable Tools for Progressive and Collaborative Exploration of Dynamic Geospatial Information”, LLNL Nonproliferation, Homeland and International Security, Livermore, CA, May 2007.
  • “Progressive Processing and Visualization of High-Resolution Satellite Imagery for Geospatial Intelligence”, LLNL Computing Applications and Research Showcase, Livermore, CA, April 2007.
  • “Novel Architectures for Progressive Image Analysis”, NGA Academic Research Program Symposium, Washington, D.C., September 2006.
  • “Progressive Techniques for Efficient Processing of Massive Image Models”, Bay Area Scientific Computing Day 2006, Livermore, CA, March 2006.
  • “Progressive Algorithms and Novel Architectures for Real-Time Analysis of Streaming Data”, National Geospatial-Intelligence Agency, Washington, D.C., January 2006.
  • “Cache-Oblivious Data Layouts for Real-Time Access to Massive Models”, LLNL Computing Applications and Research Showcase, Livermore, CA, November 2005. (poster)
  • “A Feature-Based Approach to Visualizing and Mining Simulation Data”, LLNL Center for Applied Scientific Computing Seminar, Livermore, CA, July 2005.
  • “Feature Mining Paradigms for Scientific Data”, Third SIAM International Conference on Data Mining, San Francisco, CA, May 2003.
  • “Feature-Based Procedural Animation”, Workshop on the Mathematics of Computer Animation, Toronto, Canada, November 2002.
  • “Geometric Verification of Swirling Features in Flow Fields”, IEEE Visualization Conference, Boston, MA, October 2002.
  • “A Novel Approach to Vortex Core Region Detection”, Joint Eurographics – IEEE TCVG Symposium on Visualization, Barcelona, Spain, May 2002.
  • “Feature-Significant Exploration of Terascale Datasets”, Yosemite Educational Symposium, Yosemite National Park, CA, November 2000. (poster)

Mentoring & Advising

  • Mohamed Elsharkawy, University of Illinois, Chicago, 2013
  • Michael Andereck, The Ohio State University, 2009 – 2011
  • Minh Huynh, University of California, Davis, 2007
  • Shantanu Singh, The Ohio State University, 2007
  • Kenneth Weiss, University of Maryland, College Park, 2006
  • Garrett Aldrich, University of California, Davis, 2006 – 2007