Tao, Jian individual record
Assistant Professor
Positions:
overview

Jian Tao is an Assistant Professor in the Department of Visualization at Texas A&M University and the Assistant Director for Project Development at the Texas A&M Institute of Data Science.

He is an NVIDIA DLI University Ambassador and XSEDE Campus Champion at Texas A&M and a contributor to the SPEC CPU 2017 benchmark suite. In 2018, Jian Tao led the Texas A&M team to the final of both the ASC18 and SC18 student cluster competitions. He currently serves as a faculty advisor for the Texas A&M team for the SAE/GM AutoDrive Challenge Competition.

education and training
selected publications
Academic Articles24
  • Maedgen, P., Wellons, B., Prasad, S., & Tao, J. (2022). Improving Pulse Shape Discrimination in Organic Scintillation Detectors by Understanding Underlying Data Structure. Nuclear Technology. 208(10), 1522-1539.
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  • Chang, P., Zhang, S., Danabasoglu, G., Yeager, S. G., Fu, H., Wang, H., ... Wu, L. (2020). An Unprecedented Set of HighResolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change. Journal of Advances in Modeling Earth Systems. 12(12),
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  • Huang, F., Yang, H., Tan, X., Peng, S., Tao, J., & Peng, S. (2020). Fast Reconstruction of 3D Point Cloud Model Using Visual SLAM on Embedded UAV Development Platform. Remote Sensing. 12(20), 3308-3308.
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  • Huang, F., Yang, H., Tao, J., & Zhu, Q. (2020). Universal workflow-based high performance geo-computation service chain platform. Big Earth Data. 4(4), 409-434.
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Chapters1
  • Twilley, R. R., Brandt, S., Breaux, D., Cartwright, J., Chen, J., Easson, G., ... Williamson, D (2014). Simulation Management Systems Developed by the Northern Gulf Coastal Hazards Collaboratory (NG-CHC): An Overview of Cyberinfrastructure to Support the Coastal Modeling Community in the Gulf of Mexico. Remote Sensing and Modeling. 365-394. Springer International Publishing.
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Conference Papers16
  • Mizusawa, N., Seki, Y., Tao, J., & Yamaguchi, S (2020). A Study on I/O Performance in Highly Consolidated Container-Based Virtualized Environment on OverlayFS with Optimized Synchronization. 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM). 00, 1-4.
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  • Mizusawa, N., Kon, J., Seki, Y., Tao, J., & Yamaguchi, S. (2019). Improving I/O Performance in Container with OverlayFS. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. 5395.
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  • Zhu, Q., Huang, F., Lu, J., Tao, J., Zheng, J., Li, L. i., & Lan, B. o. (2019). Research on the implementation of multi-source remote sensing image management system based on B/S architecture. International Geoscience and Remote Sensing Symposium (IGARSS). 2017-July, 5233-5236.
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  • Peng, S., Huang, F., Tao, J., Tie, B. o., Lu, J., & Zhang, X. (2018). Fast 3D map reconstruction using dense visual simultaneous localization and mapping based on unmanned aerial vehicle. International Geoscience and Remote Sensing Symposium (IGARSS). 2018-July, 5712-5715.
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  • Kon, J., Mizusawa, N., Umezawa, A., Yamaguchi, S., & Tao, J. (2018). Highly consolidated servers with container-based virtualization. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. 2018-January, 2472-2479.
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Repository Documents / Preprints3
  • Blazewicz, M., Hinder, I., Koppelman, D. M., Brandt, S. R., Ciznicki, M., Kierzynka, M., ... Tao, J. (2013). From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation.
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  • Blazewicz, M., Brandt, S. R., Diener, P., Koppelman, D. M., Kurowski, K., Lffler, F., Schnetter, E., & Tao, J. (2012). A Massive Data Parallel Computational Framework for Petascale/Exascale Hybrid Computer Systems.
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  • Evans, E., Iyer, S., Schnetter, E., Suen, W., Tao, J., Wolfmeyer, R., & Zhang, H. (2005). Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds.
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Email
jtao@tamu.edu
First Name
Jian
Last Name
Tao
mailing address
Department of Visualization; 3137 TAMU
College Station, TX 77843-3137
USA