Resume

• 2004

  Seismic Micro-Technology

  Prairie View A&M University

  University of Houston

  Prairie View

  Texas

  Research in building a scalable seismic data analytics and processing cloud computing platform

  and developing deep learning applications for the oil & gas industry. Our cloud platform is built on top of Spark and Hadoop with the capability of deep learning. The cloud is capable of storing large seismic data sets

  conducting deep learning experiments

  and visualizing results. We have developed several deep learning models for geological faults detection from seismic volumes on our seismic data analytics cloud.

  Associate Professor

  Prairie View A&M University

  - Redesign

  parallelize and optimize the SMT Kingdom Suite software with OpenMP for seismic data processing and interpretation for the oil/gas industry.\n- Work closely with development teams on performance profiling

  hotspot analysis

  parallelization and performance optimization for multicore systems}

  Seismic Micro-Technology

  Research Assistant Professor

  - Conduct research in the area of high performance computing

  programming models

  compiler optimizations

  programming analysis and performance tuning. \n- Exploit research results and propose innovative ideas for publications and pursue grant proposals from NSF and DOE. \n- Manage ongoing research projects in the research group; Set up the project plans and review the progress. \n- Participate in the OpenMP language committee discussion for new features in OpenMP 3.0.\n- My research work for OpenMP serves as a basis for the recently awarded NSF proposal: ``Extreme OpenMP: A Programming Model for Productive High End Computing''. Work as one of the main contributors in other two successful proposal awards from NSF

  and 1 successful grant award from DOE.

  University of Houston

  Research Assistant

  - Worked on extending OpenMP for Distributed Memory System via Global Arrays (from DOE)

  and parallel program analysis and optimization.\n- Proposed novel OpenMP language extensions and implemented them in the Open64 compiler to evaluate their feasibility and improvements on a variety of large platforms\n- Contributed to the development and release of the OpenUH compiler based on Open64 for OpenMP research\n- Developed the Dragon Analysis Tool based on the Open64 compiler for display the program information

  such as control flow graph/call graph/data dependence/array regions.\n- Published Journal and conference papers

  assisted in proposal writing

  benchmark

  and idea gathering

  University of Houston

• 2000

  Ph.D.

  High Performance Computing

  parallel language

  compiler technology

  and performance tuning

  Ph.D. Dissertation: Extending OpenMP for Distributed Memory System via Global Arrays. \nAdvisor: Dr. Barbara Chapman

• 1994

  MS

  Computer Science

• Signal Processing

  Program Management

  Algorithms

  Analysis

  High Performance Computing

  Machine Learning

  Research

  Pattern Recognition

  Software Development

  Matlab

  Cloud Computing Lab

  Huang

  Lei