Mr. Chibuzo Okwuosa, Kumoh National Institute of Technology, South Korea
Mr. Chibuzo Okwuosa is currently pursuing his Ph.D. in Mechanical Engineering at Kumoh National Institute of Technology in Gumi, South Korea, where he previously earned his Master of Engineering, focusing on filter-based feature selection for stator winding fault classification in squirrel cage induction motors. Since 2021, he has served as a Research Assistant at the Defense Reliability Laboratory, contributing to innovative research initiatives, and is currently a researcher at the Research, Development and Prognostics (FD&P) center. His outstanding contributions to the field were recognized with the Excellence Paper Award at the 2023 Autumn Academic Conference. Prior to his academic career, Mr. Okwuosa gained valuable experience as a Relationship Officer at Keystone Bank Ltd in Nigeria, enhancing his client management and relationship-building skills.
Professional Profile:
Suitability for the Best Researcher Award:
Mr. Okwuosa’s achievements in Mechanical Engineering, particularly his innovative work on fault detection systems, make him an ideal candidate for the Best Researcher Award. His research not only advances the state of the art in engineering diagnostics but also offers practical solutions to real-world problems faced by industries worldwide. Furthermore, his combination of academic rigor, practical application, and recognition through awards makes him stand out as a researcher with significant potential for future contributions.
Educational Background:
Mr. Chibuzo Okwuosa is currently pursuing his Ph.D. in Mechanical Engineering at Kumoh National Institute of Technology in Gumi, South Korea. He holds a Master of Engineering in Mechanical Engineering from the same institution, where his thesis focused on filter-based feature selection for stator winding fault classification in squirrel cage induction motors (SCIM). He also earned a Bachelor of Engineering in Agricultural Engineering from Imo State University in Nigeria.
Professional Experience:
Since 2021, Mr. Okwuosa has served as a Research Assistant at the Defense Reliability Laboratory at Kumoh National Institute of Technology, contributing to innovative research and development initiatives. He currently works as a Researcher at the Research, Development and Prognostics (FD&P) in Gumi, Korea.
Awards & Achievements:
Mr. Okwuosa received the Excellence Paper Award at the 2023 Autumn Academic Conference, recognizing his outstanding contributions to the field of mechanical engineering. 🏆📄
Career Transition:
Before his academic pursuits, he worked as a Relationship Officer at Keystone Bank Ltd in Nigeria, where he honed his skills in client management and relationship building.
Publication Top Notes:
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“A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance”
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“Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection”
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“Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals”
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“An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning”
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“Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach”