(B) High Performance Computing and Visualizations:

  1. Shen, B.-W., S. Cheung, Y. Wu, F. Li, and D. Kao, 2017: Parallel Implementation of the Ensemble Empirical Mode Decomposition (PEEMD) and Its Application for Earth Science Data Analysis. Computing in Science & Engineering, vol. 19, no. , pp. 49-57, September/October 2017, doi:10.1109/MCSE.2017.3421555 (gallery)

  2. Shen, B.-W., 2015: Using Katrina and Sandy Data to Improve Hurricane Prediction Tools. Supercomputing Conference 2015 (SC15). Austin, TX, Nov. 15-20, 2015.  (invited, pdf)

  3. Shen, B.-W., B. Nelson, S. Cheung, and W.-K. Tao, 2013b: Improving the NASA Multiscale Modeling Framework's Performance for Tropical Cyclone Climate Study. Computing in Science and Engineering,  IEEE computer Society Digital Library. IEEE Computer Society, no. 5, pp. 56-67, Sep./Oct. 2013  (pdf)

  4. Shen, B.-W., B. Nelson, W.-K. Tao, and Y.-L. Lin, 2013a, "Advanced Visualizations of Scale Interactions of Tropical Cyclone Formation and Tropical Waves," Computing in Science and Engineering, vol. 15, no. 2, pp. 47-59, March-April 2013, doi:10.1109/MCSE.2012.64 

  5. Shen, B.-W., W.-K. Tao, and B. Green, 2011: Coupling Advanced Modeling and Visualization to Improve High-Impact Tropical Weather Prediction(CAMVis), IEEE Computing in Science and Engineering (CiSE), vol. 13, no. 5, pp. 56-67, Sep./Oct. 2011, doi:10.1109/MCSE.2010.141 (impact factor: 1.42) (pdf) 

  6. Shen, B.-W., W.-K. Tao, J.-D. Chern, and R. Atlas, 2009: Scalability Improvements in the  NASA Goddard Multiscale Multicomponent Modeling Framework for Tropical Cyclone Climate Studies. HPC ASIA & APAN 2009 International Conference and Exhibition.Proceedings, p 249-256. Kaohsiung, Taiwan, March 2-5, 2009.

  7. Biswas, R., M.J. Aftosmis, C. Kiris, and B.-W. Shen, 2007: Petascale Computing: Impact on Future NASA Missions. Petascale Computing: Architectures and Algorithms, 29-46 (D. Bader, ed.), Chapman and Hall / CRC Press, Boca Raton, FL.(pdf)

  8. Putman, W., S.-J. Lin, and B.-W. Shen, 2005: Cross-Platform Performance of a Portable Communication Module and the NASA Finite Volume General Circulation Model. International Journal of High Performance Computing Applications. 19: 213-223.(pdf)

  9. Shen, B.-W., R. Atlas, W.-K. Tao, T. Lee, O. Reale, J.-D. Chern, S.-J. Lin, J. Chang, C. Henze, J.-L. Li, 2006: Experimental High-Resolution Weather/Hurricane Predictions with the NASA fvGCM. High-End Computing at NASA, 48-49. (PDF)

  10. Atlas, R., B.-W. Shen, O. Reale, J., W. Putman, J., J.-D. Chern, S.-J. Lin, M. Bosilovich, T. Lee, J. Radakovich, K.-S. Yeh, J. Ardizzone, and D. Bungato, 2004: The NASA finite-volume General Circulation Model: The 2004 hurricane season -- a high-resolution NWP application, The SC2004 High Performance Computing, Networking and Storage Conference, Pittsburgh, Pennsylvania, November 6-12, 2004. (Selected as one of the NASA top four project demonstrations at SC04; the #1 in the Science Mission Directorate)