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Mr. Christopher Ekeocha | Machine Learning | Best Researcher Award

Graduate Research Assistant, Africa Centre of Excellence in Future Energies and Electrochemical Systems (ACE-FUELS), Nigeria

🌍 Christopher Ikechukwu Ekeocha is a Nigerian researcher and assistant research fellow specializing in corrosion technology, environmental chemistry, and computational simulation for corrosion studies. With a robust academic background and experience in eco-friendly corrosion mitigation techniques, he has made significant contributions to his field through numerous publications and presentations at international conferences.

Profile

Google Scholar

Education

🎓 Christopher holds a Ph.D. in Corrosion Technology from the Africa Centre of Excellence in Future Energies and Electrochemical Systems (2024), an M.Sc. in Environmental Chemistry (2019), and a B.Tech. in Industrial Chemistry (2008), both from the Federal University of Technology, Owerri, Nigeria.

Experience

💼 As an Assistant Research Fellow at the National Mathematical Centre, Abuja, Christopher has been involved in various national and international academic initiatives, including serving as the Nigerian team leader for the International Chemistry Olympiad. His expertise spans research, teaching, and the development of national curricula.

Research Interest

🔬 Christopher’s research focuses on corrosion detection, eco-friendly mitigation techniques, computational simulations, and ecological risk assessments. He is particularly interested in developing predictive models for corrosion inhibitors and environmental pollution remediation using green materials.

Awards

🏆 Christopher has represented Nigeria internationally at the International Chemistry Olympiad and authored multiple Olympiad textbooks. His leadership in these initiatives has earned him recognition in the academic community.

Publications Top Notes

Ekeocha, C. I., et al. (2024). Data-Driven Machine Learning Models and Computational Simulation Techniques for Prediction of Anti-Corrosion Properties. Materials Today Communications. Link. Cited by 0.

Ekeocha, C.I., et al. (2024). Theoretical Study of Novel Antipyrine Derivatives as Promising Corrosion Inhibitors. Structural Chemistry. Link. Cited by 0.

Ekeocha, C.I., et al. (2023). Review of Forms of Corrosion and Mitigation Techniques: A Visual Guide. African Scientific Reports. Link. Cited by 0.

Ekeocha, C.I., et al. (2024). Synergism of Computational Simulation Technique and Data-Driven Machine Learning Algorithm. The Journal of Physical Chemistry (Revised manuscript submitted). Cited by 0.

Ekeocha, C.I., et al. (2024). Impact of Corrosion Scales on Carbon and Low Alloy Steel Corrosion. Portugaliae Electrochimica Acta (Accepted). Cited by 0.

Conclusion

Ekeocha’s innovative work in corrosion technology and eco-friendly materials, alongside his strong academic background and publication record, make him a strong contender for the Best Researcher Award. However, increasing international exposure and industry collaboration could further solidify his position.

Christopher Ekeocha | Machine Learning | Best Researcher Award

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