Jian Tao
Scholar

Jian Tao

Google Scholar ID: f_gkIjQAAAAJ
Texas A&M University
digital twinmachine learningdeep learninghigh performance computingdata science
Citations & Impact
All-time
Citations
806
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • NVIDIA DLI University Ambassador at Texas A&M and a contributor to the SPEC CPU 2017 benchmark suite. Currently serves as the Testbed Committee Co-Chair of the IEEE Public Safety Technology Initiative.
Research Experience
  • Worked on computational frameworks for numerical relativity, computational fluid dynamics, coastal modeling, and other applications at the Center for Computation & Technology at Louisiana State University before joining Texas A&M in 2016. Led the Texas A&M team to the final of both the ASC18 and SC18 student cluster competitions in 2018. Faculty advisor of the Texas A&M 12th Unmanned Team for the SAE/GM AutoDrive Challenge Competition and leads a project funded by the Department of Commerce to build a digital twin for the Disaster City at Texas A&M University.
Education
  • Ph.D. in Computational Astrophysics from Washington University in St. Louis in 2008.
Background
  • Research interests include digital twin, numerical modeling, machine learning, data analytics, distributed computing, visualization, and workflow management. An Assistant Professor in the Section of Visual Computing & Computational Media at Texas A&M University, also serving as the Director of the Digital Twin Lab and the Assistant Director for Project Development at the Texas A&M Institute of Data Science.
Miscellany
  • Holds courtesy appointments at the Department of Electrical & Computer Engineering, the Department of Nuclear Engineering, and the Department of Multidisciplinary Engineering in the College of Engineering at Texas A&M University.