Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

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Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Kumoh National Institute of Technology, South Korea.

Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology 🇰🇷, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.

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🎓 Education

Chibuzo earned both his Master’s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.

💼 Experience

With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.

🔬 Research Interests

His key research domains include:

🔧 Prognostics and Health Management (PHM)

🤖 Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

⚙️ Real-time Fault Diagnostics

🏆 Awards & Grants

Chibuzo’s research has been supported by prestigious Korean government grants:

IITP Innovative Human Resource Development for Local Intellectualization

ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.

📚 Selected Publications

🆕 Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

📅 2025-04-13 | Sensors
🔗 DOI: 10.3390/s25082449
👨‍🔬 Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
📌 Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.

⚙️ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

📅 2024-10-09 | Journal of Sensor and Actuator Networks
🔗 DOI: 10.3390/jsan13050064
👨‍🔬 Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
📌 Fault detection in mechanical components using spectral features and XGBoost.

🔍 Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

📅 2024-02-29 | Electronics
🔗 DOI: 10.3390/electronics13050926
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.

⚡ Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

📅 2024-01-18 | Preprint
🔗 DOI: 10.20944/preprints202401.1371.v1
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Preprint focusing on enhanced signal processing for electrical fault classification.

🧠 An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

📅 2023 | IEEE Access
🔗 DOI: 10.1109/ACCESS.2023.3266865
👨‍🔬 Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
📌 Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Prof. Chae-Ryong Cho | Secondary batteries | Best Researcher Award

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Prof. Chae-Ryong Cho | Secondary batteries | Best Researcher Award

Department of Nanoenergy Engineering/Pusan National University, South Korea.

Prof. Chae-Ryong Cho is a distinguished physicist specializing in nanoenergy engineering. Currently serving as a professor at Pusan National University (PNU) in Busan, Korea, he has made significant contributions to the fields of lithium-ion batteries, photocatalysts, and nanostructured materials. His research has been widely recognized, with numerous publications and patents to his name.

Profile

Scopus​

Education 🎓

Prof. Chae-Ryong Cho earned his Bachelor of Science (B.S.) in Physics from Pusan National University, Busan, Korea (1982-1986). He then pursued a Master of Science (M.S.) in Surface Physics at Gyeongsang National University, Jinju, Korea (1986-1988). Later, he completed his Doctor of Philosophy (Ph.D.) in Solid-State Physics at Pusan National University, Busan, Korea (1991-1995), specializing in the advanced study of solid-state materials and their physical properties.​

Experience 🏢

Prof. Chae-Ryong Cho is a Professor of Nanoenergy Engineering at Pusan National University (PNU) since 2006, specializing in secondary batteries and surface physics. He currently serves as Director of the Secondary Battery Convergence and Open Sharing System (COSS) and Secondary Battery Convergence Major at PNU (2023-Present), as well as Director of the Secondary Batteries Industry Technical Human Resource Development Center (SBitHRD) (2021-Present).

Previously, he was Dean of the College of Nanoscience & Nanotechnology at PNU (2018-2020) and a Visiting Scholar at the University of Illinois at Urbana-Champaign (2013-2014). His research experience includes roles at Korea Basic Science Institute (KBSI), Electronics and Telecommunications Research Institute (ETRI), University of Minnesota, and UIUC. His work focuses on solid-state physics, surface analysis, and secondary battery technology.

Research Interests 🔬

Lithium-ion Batteries: Focus on developing advanced anode and cathode materials.​

Sodium (Na) and Potassium (K) Ion Batteries: Exploration of alternative energy storage solutions.​

All-Solid-State Batteries: Researching safer and more efficient battery technologies.​

In Situ Structural Analysis: Studying real-time structural changes in materials.​

Electrochemical Analysis of Active Materials: Investigating the electrochemical properties of battery components.​

Awards 🏆

2005: President's Award (ROK)​

2018: Busan Science and Technology Award​

2018: Busan Mayor Award​

2021: Congratulatory Plaque from BISTEP Director​

2024: Deputy Prime Minister Award, Ministry of Education​

Selected Publications 📚

Realization of a 2H-Si microneedle with an ultrafast growth rate of 6.7 × 10⁴ Å·s⁻¹

Authors: S. Mun, K. Kim, S. Park, Y. Kang, H. Ahn

Journal: Semiconductor Science and Technology, 2025

Enhanced Li storage of pure crystalline-C60 and TiNb₂O₇-nanostructure composite for Li-ion battery anodes

Authors: I. Jeon, L. Yin, D. Yang, H. Ahn, C. Cho

Journal: Journal of Energy Chemistry, 2024

Citations: 3

Enhancing Li-Ion Battery Anodes: Synthesis, Characterization, and Electrochemical Performance of Crystalline C60 Nanorods with Controlled Morphology and Phase Transition

Authors: L. Yin, D. Yang, I. Jeon, M. Park, C. Cho

Journal: ACS Applied Materials and Interfaces, 2024

Citations: 3

Enhanced electrochemical performance and interdiffusion behavior of sodium ions in onion-derived freeze-dried and KOH-activated carbon for sodium-ion battery anodes

Authors: I. Jeon, T. Kim, J. Seo, D. Yang, C. Cho

Journal: Applied Surface Science, 2024

Citations: 5

Electrochemical behavior of Ag nanoparticle-incorporated Li₄Ti₅O₁₂ nanofibers as Li-ion battery anodes under visible light exposure

Authors: H. Yang, D. Yang, I. Jeon, J. Seo, C. Cho

Journal: Applied Surface Science, 2024

 

 

Mr. Zheting Meng | Physics and Astronomy | Best Researcher Award

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Mr. Zheting Meng | Physics and Astronomy | Best Researcher Award

Institute of Optics and Electron, China.

Mr. Meng Zheting is a graduate student at the Institute of Optoelectronics Technology, Chinese Academy of Sciences, specializing in light field regulation and vector light field control applications. With a strong background in physics and optoelectronics, he is dedicated to advancing laser wireless power transfer (LWPT) for UAVs. His research focuses on developing lightweight air-floating metalenses, significantly improving laser energy distribution and wireless charging efficiency.

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🎓 Education

Meng Zheting holds a Bachelor of Science in Physics from Sichuan University, where he developed a strong foundation in optics and photonics. His undergraduate studies sparked a deep interest in light field manipulation, leading him to pursue further specialization. Currently, he is enrolled in a Master of Science in Optoelectronics at the Institute of Optoelectronics Technology, Chinese Academy of Sciences. His graduate research focuses on the principle and method of light field regulation, particularly in vector light field control applications. Through his academic journey, he has gained extensive expertise in laser wireless power transfer (LWPT) and its innovative applications, contributing to the advancement of unmanned aerial vehicle (UAV) endurance and efficient long-range wireless energy transfer.

💼 Experience

Meng Zheting is currently a Graduate Researcher (2023–Present) at the Research Center on Vector Optical Fields, Institute of Optoelectronics Technology, Chinese Academy of Sciences. His research is dedicated to advancing Laser Wireless Power Transfer (LWPT) technologies, aiming to enhance Unmanned Aerial Vehicle (UAV) endurance by overcoming critical challenges such as beam divergence, non-uniform irradiation, and alignment instability. His innovative work includes the development of a lightweight air-floating metalens that significantly improves laser focusing and energy distribution, achieving up to 75% uniformity in experiments. This breakthrough has the potential to revolutionize long-range wireless power transmission, expanding applications in aerospace, defense, and renewable energy sectors.

🔬 Research Interests

Light field regulation and vector light field control applications

Laser Wireless Power Transfer (LWPT) for UAVs

Metalens-based optical focusing for power transmission

📚 Publication

Meng, Z., Xiao, Y., Chen, L., Wang, S., Fang, Y., Zhou, J., Li, Y., Zhang, D., Pu, M., & Luo, X. (2025). Floating Multi-Focus Metalens for High-Efficiency Airborne Laser Wireless Charging. Photonics, 12(2), Article 150. DOI: 10.3390/photonics12020150

This study presents a floating multi-focus metalens designed to enhance airborne laser wireless charging efficiency. By improving laser focusing precision and energy uniformity, the proposed technology addresses key limitations in long-range wireless power transfer (LWPT), significantly boosting UAV endurance and operational capabilities.