People

Faculty members

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Dr. Jiefu Chen

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Dr. Xuqing Wu


Postdoc Fellows

Dr. Richard Tran

Dr. Sihong Wu


Current students

Mr. Aamir Bader Shah

  • Co-adviser: Dr. Xin Fu
  • Ph.D. student since Spring 2021
  • Research: edge machine learning
  • M.S.: University of Leicester
  • B.S.: National University of Sciences and Technology, Pakistan
  • Email: ashah29@cougarnet.uh.edu

Mr. Tauseef Ashraf

  • Ph.D. student since Spring 2021
  • Research: applied electromagnetics
  • M.S.: Naval Postgraduate School, Monterey, CA, USA
  • B.S.: National University of Sciences and Technology, Pakistan
  • Email: tashraf@cougarnet.uh.edu

Mr. Yawei Su

  • Ph.D. student since Summer 2022
  • Research: scientific machine learning
  • M.S.: University of Houston
  • B.S.: Tsinghua University
  • Email: ysu8@cougarnet.uh.edu

Mr. Carlos Urdaneta

  • Ph.D. student since Spring 2022
  • Research: machine learning for oilfield and geothermal drilling
  • M.S.: Rice University
  • B.S.: University of Houston
  • Email: cjurdane@cougarnet.uh.edu

Ms. Mai Le

  • Co-adviser: Dr. Yan Yao
  • Ph.D. student since Fall 2022
  • Research: machine learning for multiphysics battery simulation
  • B.S.: University of Houston
  • Email: mnle8@cougarnet.uh.edu

Mr. Trey Barker

  • Co-adviser: Dr. Xiaonan Shan
  • Ph.D. student since Fall 2022
  • Research: clean hydrogen generation
  • M.S.: Santa Clara University
  • B.S.: University of Houston
  • Email: tmbarker@central.uh.edu

Mr. George Bittar

  • Ph.D. student since Spring 2024
  • Research: scientific machine learning for subsurface characterization
  • M.S.: University of Houston
  • B.S.: University of Houston
  • Email: gmbittar@cougarnet.uh.edu

Mr. Chenyu Zhou

  • Co-adviser: Dr. Yueqin Huang
  • Ph.D. student since Fall 2024
  • Research: machine learning and high-performance computing
  • M.S.: Shenzhen University
  • B.S.: Guangzhou University
  • Email: czhou24@cougarnet.uh.edu

Mr. Ziang Zhang

  • Co-adviser: Dr. Yueqin Huang
  • Ph.D. student since Fall 2024
  • Research: statistical learning
  • M.S.: King’s College London
  • B.S.: China University of Petroleum-Beijing
  • Email: zzhang88@cougarnet.uh.edu

Mr. Dexin Wang

  • Ph.D. student since Fall 2025
  • Research: geothermal well integrity
  • M.S.: Lanzhou University
  • B.S.: Lanzhou University
  • Email: dwang53@cougarnet.uh.edu

Ms. Mashiat Jamal

  • M.S. student since Fall 2025
  • Research: mud pulse telemetry
  • B.S.: BRAC University, Bangladesh
  • Email: mjamal4@cougarnet.uh.edu

Mr. Tuan Minh Pham

  • Ph.D. student since Fall 2025
  • Research: scientific machine learning
  • B.S.: Ho Chi Minh University of Technology and Education
  • Email: tmpham42@cougarnet.uh.edu

Alumni

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Dr. Qiuyang Shen

  • Co-advised with Dr. Zhu Han
  • Graduated with Ph.D. degree in Fall 2019
  • Thesis: Statistical Bayesian Inversion of Azimuthal Resistivity Logging-while-drilling Data
  • Initial Employment: Research Scientist, Cyentech Consulting LLC
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Dr. Shubin Zeng

  • Graduated with Ph.D. degree in Summer 2020
  • Thesis: Boundary Integral Equation Methods for Multiscale Scattering and Inverse Source Problems in Layered Media
  • Initial Employment: Seismic Imaging Analyst, CGG
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Mr. Michael Bittar

  • Graduated with M.S. degree in Fall 2020
  • Thesis: Deep Reinforcement Learning Framework to Solve Oil and Gas Depth-Matching Well-Logging Problem
  • Initial Employment: Software Engineer, Halliburton
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Dr. Li Yan

  • Graduated with Ph.D. degree in Fall 2021
  • Thesis: Pixel-Based Inversion of Electromagnetic Logging Data
  • Initial Employment: RF/EM design engineer, Skyworks Solutions
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Dr. Han Lu

  • Co-advised with Dr. Xin Fu
  • Graduated with Ph.D. degree in Fall 2021
  • Thesis: High-Performance Computing Methods for Electromagnetic Well Logging Inverse Problems
  • Initial Employment: Research Scientist, Meta
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Dr. Pengyu Yuan

  • Co-advised with Dr. Hien Van Nguyen
  • Graduated with Ph.D. degree in Summer 2022
  • Thesis: Better Generalization with Less Human Annotation Using Meta-Learning and Self-Supervised Learning for Image Analysis
  • Initial Employment: Software Engineer, Google
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Dr. Yuchen Jin

  • Graduated with Ph.D. degree in Fall 2022
  • Thesis: Geophysical Inversion Enhanced by Deep Learning
  • Initial Employment: Data Scientist, Aramco Houston Research Center
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Dr. Chaoxian Qi

  • Graduated with Ph.D. degree in Fall 2022
  • Thesis: Towards a Unified Framework for Inverse Source Problems and Multiscale Modeling in Layered Media
  • Initial Employment: Lead Software Engineer, Cadence Design Systems
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Dr. Shirui Wang

  • Graduated with Ph.D. degree in Spring 2023
  • Thesis: Seismic Data Enhancement and Representation by Self-Supervised Learning
  • Initial Employment: Data Scientist, SLB
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Dr. Yanyan Hu

  • Graduated with Ph.D. degree in Fall 2023
  • Thesis: Deep Learning Enhanced Multi-physics Joint Inversion
  • Initial Employment: Lead Software Engineer, Cadence Design Systems
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Dr. Xiaoliang Li

  • Co-advised with Dr. Xiaonan Shan
  • Graduated with Ph.D. degree in Spring 2023
  • Thesis: Wireless System for Long-Term and Real-Time Subsurface CO2 Monitoring
  • Initial Employment: Research Scientist, GOWell International
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Dr. Yuan Zi

  • Co-advised with Dr. Zhu Han
  • Graduated with Ph.D. degree in Spring 2024
  • Thesis: Large-scale Carbon Monitoring with Data-Driven Optimization and Machine Learning-enhanced Signal Processing
  • Initial Employment: Research Scientist, GOWell International

Visiting scholars

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Dr. Yong Wei

  • Associate Professor, Yangtze University
  • Research: well logging sensor design
  • Visiting Period: October 2018 – October 2019
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Dr. Yueqin Dun

  • Associate Professor, Jinan University
  • Research: fast numerical algorithms for resistivity well-logging
  • Visiting Period: February 2019 – April 2020
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Mr. Pan Zhang

  • Ph.D. student, China University of Petroleum (East)
  • Research: machine learning for computational electromagnetics
  • Visiting Period: October 2019 – October 2020
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Dr. Zhijian Zhou

  • Associate Professor, Jilin University
  • Research: magnetic prospecting
  • Visiting Period: December 2019 – August 2020