Mr. Majid Hussain | Petroleum Engineering | Best Researcher Award

Majid Hussain at University of Louisiana at Lafayette, United States.

Mr. Majid Hussain is a Pakistani petroleum engineering researcher pursuing his Master’s degree at the University of Louisiana at Lafayette. With a strong academic foundation from China and Pakistan, he is currently working on advanced CO₂-EOR and CCUS technologies using simulation and machine learning. His interdisciplinary background combines petroleum technology, reservoir engineering, and data-driven modeling. He aspires to contribute to energy sustainability and carbon sequestration research through academic and industrial collaborations.

Publication Profile

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Educational Details

• M.Sc. in Petroleum Engineering, University of Louisiana at Lafayette, USA (2023–2025)
  GPA: 4.0/4.0
  Research focus: CO₂-EOR, CO₂-WAG injection, machine learning in reservoir simulation, and CCUS.

• B.Sc. in Petroleum Engineering, Southwest Petroleum University, Chengdu, China (2019–2023)
  CGPA: 4.11/5.00
  Dissertation: Simulation study of CO₂-WAG injection and its application in CCUS.

• Diploma of Associate Engineering (DAE) in Petroleum Technology, Technical Board Peshawar, Pakistan (2015–2018)
  Score: 75.37%
  Award: Best Talent Award (2016)

Professional Experience & Training

Mr. Majid Hussain is currently engaged in advanced petroleum engineering research at the University of Louisiana at Lafayette, with a specialization in CO₂-enhanced oil recovery (EOR), water-alternating-gas (WAG) techniques, and machine learning–assisted simulation. He has held leadership roles in international competitions and received hands-on technical training in core analysis, disaster risk reduction, and satellite-based Earth observation techniques. His academic and practical exposure in both Asia and North America has shaped a strong foundation for collaborative petroleum research.

Research Interest

• CO₂-EOR and CO₂-WAG technologies

• Carbon capture, utilization, and storage (CCUS)

• Reservoir simulation and sector modeling

• Machine learning applications in reservoir engineering

• Enhanced oil recovery (EOR) optimization

• Multiphase flow dynamics in shale gas wells

Publications & Author Metrics

Mr. Majid Hussain has co-authored 7 peer-reviewed journal articles, including first-author and corresponding-author works in Processes, Polymer International, and Petroleum and Petrochemical Engineering Journal. His interdisciplinary research spans reservoir simulation, CO₂ injection technologies, structural geology, and photocatalysis.

• Total Impact Factor: 17.64

• Total Citations: 70

• Notable Publications:

  • Optimizing Oil Recovery: A Sector Model Study of CO₂-Water-Alternating-Gas and Continuous Injection Technologies, Processes, 2023.

  • CO₂-WAG Injection and Hysteresis Effects: Insights for Improved Oil Recovery and Carbon Sequestration Applications, PPEJ, 2023.

  • Use of Pressure Transient Analysis Method to Assess Fluid Soaking in Multi-Fractured Shale Gas Wells, Energies, 2023.

  • Contributions to works on MXenes, organocatalysts, and stratigraphic studies of the Himalayan region.

Top Noted Publication

1. Homogeneous iron‐doped carbon‐nitride‐based organo‐catalysts for sensational photocatalytic performance driven by visible light

• Authors: Nayab Arif, Ikram Uddin, Asif Hayat, Waqas Ullah Khan, Sami Ullah, Majid Hussain

• Journal: Polymer International

• Volume/Issue: 70(9), pp. 1273–1281

• Year: 2021

• DOI: 10.1002/pi.6195

• Impact Factor (2021): ~3.2

• Citations: 35 (as of 2025)

• Abstract Summary: This study developed homogeneous iron-doped graphitic carbon nitride (g-C₃N₄) photocatalysts exhibiting superior activity under visible light. The doped catalysts demonstrated enhanced charge separation and light absorption, offering potential for environmental remediation and solar-driven applications.

2. Recent advancement in rational design modulation of MXene: A voyage from environmental remediation to energy conversion and storage

• Authors: Asif Hayat, Muhammad Sohail, A. Qadeer, T. A. Taha, Majid Hussain, Sami Ullah, et al.

• Journal: The Chemical Record

• Volume/Issue: 22(12), Article e202200097

• Year: 2022

• DOI: 10.1002/tcr.202200097

• Impact Factor (2022): ~4.9

• Citations: 28

• Abstract Summary: This review covers structural tuning strategies of MXene materials and their application in various domains such as photocatalysis, water purification, sensors, batteries, and supercapacitors. It highlights rational design approaches for improving MXene performance.

3. Structural and stratigraphic studies of Hazara-Kashmir Syntaxis, northwestern Himalaya, Pakistan

• Authors: Gulfam Hussain, Xiaomin Fang, Nadeem Ahmad Usmani, Syed Ahsan Hussain Gardezi, Majid Hussain, Hussain Asghar, et al.

• Journal: North American Academic Research

• Volume/Issue: 3(9), pp. 1–14

• Year: 2020

• DOI: 10.5281/zenodo.4015633

• Citations: 3

• Abstract Summary: Field-based geological survey in the Hazara-Kashmir Syntaxis region of the NW Himalayas. The work provides insights into local tectonics, structural configurations, and stratigraphic sequences that inform broader Himalayan geological evolution.

4. Optimizing oil recovery: A sector model study of CO₂-water-alternating-gas and continuous injection technologies

• Authors: Majid Hussain, Fathi Boukadi, Zeming Hu, Derrick Adjei

• Journal: Processes

• Volume/Issue: 13(3), Article 700

• Year: 2025

• DOI: 10.3390/pr13030700

• Impact Factor (2023): ~3.5

• Citations: Pending

• Abstract Summary: This simulation-based study compares CO₂-WAG and continuous CO₂ injection techniques using a sector model. It evaluates oil recovery efficiency and carbon storage potential, with WAG showing higher recovery under specific reservoir conditions.

5. CO₂-WAG injection and hysteresis effects: Insights for improved oil recovery and carbon sequestration applications

• Authors: Hussain Majid, Fathi Boukadi

• Journal: Petroleum & Petrochemical Engineering Journal

• Volume/Issue: 9(1), Article 10

• Year: 2025

• DOI: 10.23880/ppej16000405

• Citations: Pending

• Abstract Summary: This work explores the role of relative permeability hysteresis during CO₂-WAG flooding. By incorporating hysteresis into simulation models, the study demonstrates its impact on residual oil trapping and sweep efficiency, suggesting implications for CO₂ sequestration.

Conclusion

Mr. Majid Hussain is an exemplary candidate for the Best Researcher Award due to his outstanding academic achievements, innovative research in petroleum engineering and CCUS, and promising contributions to the energy and environmental sectors. His publications and citations, though still in the early stages, show the potential for significant academic and industry impact. With continued focus on expanding his research scope and collaborative efforts, Majid is poised to make lasting contributions to both the scientific community and the global push for sustainable energy practices. His work, particularly in CO₂-EOR, machine learning-assisted reservoir simulations, and carbon sequestration, demonstrates an impressive blend of technical expertise and environmental responsibility.