Zhangbao Xu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhangbao Xu | Engineering | Best Researcher AwardΒ 

Fuyang Normal University, China

Profile

ORCID

πŸŽ“ Early Academic Pursuits

Dr. Zhangbao Xu embarked on his academic journey in Mechanical Engineering, earning his Ph.D. from Nanjing University of Science and Technology in 2017. During his doctoral studies, he focused on advanced control systems, particularly in the area of electromechanical and hydraulic servo mechanisms. His strong academic foundation laid the groundwork for a research-intensive career, which he expanded upon through postdoctoral research at the Nanjing University of Aeronautics and Astronautics, a leading institution in aerospace and control technologies.

πŸ‘¨β€πŸ’Ό Professional Endeavors

Following his postdoctoral fellowship, Dr. Xu joined Fuyang Normal University as an Associate Professor in the School of Computer and Information Engineering. In this role, he has been actively involved in both teaching and research, mentoring students and collaborating with interdisciplinary teams on cutting-edge technological challenges. His role reflects a commitment to bridging theoretical principles with real-world applications in robotics, intelligent systems, and servo control.

πŸ”¬ Contributions and Research Focus

Dr. Xu's primary research interests include high-performance control of electromechanical hydraulic servo systems, intelligent control of nonlinear systems, and advanced robotic control technologies. His innovative work has contributed to enhanced system stability, responsiveness, and energy efficiency in automation. His research has often intersected with artificial intelligence techniques, enabling adaptive learning in dynamic system environments.

🌍 Impact and Influence

With over 20 SCI-indexed journal articles published in top-tier international journalsβ€”such as IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, Mechanical Systems and Signal Processing, and Nonlinear Dynamicsβ€”Dr. Xu has established a strong global footprint. His scholarly works have garnered over 440 citations (Web of Science), including one Highly Cited Paper, reflecting the significant impact of his contributions on the research community. Importantly, more than 10 internationally and domestically recognized academicians and industry experts have cited and positively reviewed his work.

πŸ“š Academic Cites

His research has not only found academic traction but also practical validation. Publications in IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Systems, Man, and Cybernetics: Systems underscore his multidisciplinary expertise. This citation record attests to his recognition in both industrial and academic spheres.

πŸ› οΈ Technical Skills

Dr. Xu possesses deep expertise in nonlinear control, servo system design, adaptive control algorithms, mechatronics, and robotics engineering. His ability to integrate hardware-in-the-loop simulation with intelligent control strategies marks his technical versatility. He also demonstrates proficiency in simulation tools and control programming platforms such as MATLAB/Simulink, LabVIEW, and real-time embedded systems.

πŸ‘¨β€πŸ« Teaching Experience

At Fuyang Normal University, Dr. Xu actively engages in curriculum development and instruction in control systems, robotics, and mechatronics engineering. He mentors graduate and undergraduate students, fostering research skills, innovation, and critical thinking. His classroom leadership is supported by real-world applications, making his courses highly practical and industry-relevant.

πŸ§ͺ Innovation and Patents

A prolific inventor, Dr. Xu holds 17 authorized national invention patents in China, covering innovations in hydraulic servo systems, robot motion control, and fault-tolerant intelligent control strategies. These patents reflect his practical impact on industrial automation, providing scalable solutions for complex electromechanical systems.

πŸ“ Editorial and Peer Review Activities

He is a guest editor for the journals Electronics and Actuators and serves as a regular reviewer for numerous prestigious journals, including IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, Aerospace Science and Technology, and Mechanical Systems and Signal Processing. His involvement ensures the maintenance of high publication standards and promotes rigorous peer discourse in the engineering community.

🌟 Legacy and Future Contributions

Dr. Xu’s contributions have positioned him as a forward-thinking scholar with a clear vision of the future. His integration of intelligent control with robotics is paving the way for next-generation autonomous systems, and his continued collaboration with national and provincial agencies promises more innovation. With a solid foundation of achievements and ongoing research momentum, Dr. Xu is poised to make even greater strides in the fields of mechatronics, robotics, and intelligent control.

Dr. Zhangbao Xu embarked on his academic journey in Mechanical Engineering, earning his Ph.D. from Nanjing University of Science and Technology in 2017. During his doctoral studies, he focused on advanced control systems, particularly in the area of electromechanical and hydraulic servo mechanisms. His strong academic foundation laid the groundwork for a research-intensive career, which he expanded upon through postdoctoral research at the Nanjing University of Aeronautics and Astronautics, a leading institution in aerospace and control technologies.

Selected Publications

Title: Barrier Lyapunov Function-Based Adaptive Output Feedback Prescribed Performance Controller for Hydraulic Systems with Uncertainties Compensation
Authors: Xu, Z.; Sun, C.; Hu, X.; Liu, Q.; Yao, J.
Journal: IEEE Transactions on Industrial Electronics
Year:

Title: Observer-Based Prescribed Performance Adaptive Neural Output Feedback Control for Full-State-Constrained Nonlinear Systems with Input Saturation
Authors: Xu, Z.; Zhou, X.; Dong, Z.; Sun, C.; Shen, H.
Journal: SSRN
Year: 2023

Title: Output-Feedback Prescribed Performance Control for the Full-State Constrained Nonlinear Systems and Its Application to DC Motor System
Authors: Xu, Z.; Sun, C.; Liu, Q.
Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2023

Title: Active disturbance rejection control for hydraulic systems with full-state constraints and input saturation
Authors: Xu, Z.; Sun, C.; Yang, M.; Liu, Q.
Journal: IET Control Theory and Applications
Year: 2022

Title: ESO-based adaptive full state constraint control of uncertain systems and its application to hydraulic servo systems
Authors: Xu, Z.; Qi, G.; Liu, Q.; Yao, J.
Journal: Mechanical Systems and Signal Processing
Year: 2022

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

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 πŸ‡°πŸ‡·, 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.

Profile

Scopus
Orcid
Google Scholar

πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ Research Interests

His key research domains include:

πŸ”§ Prognostics and Health Management (PHM)

πŸ€– Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

βš™οΈ Real-time Fault Diagnostics

πŸ† 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.

πŸ“š Selected Publications

πŸ†• Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

πŸ“… 2025-04-13 | Sensors
πŸ”— DOI: 10.3390/s25082449
πŸ‘¨β€πŸ”¬ Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
πŸ“Œ Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.


βš™οΈ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

πŸ“… 2024-10-09 | Journal of Sensor and Actuator Networks
πŸ”— DOI: 10.3390/jsan13050064
πŸ‘¨β€πŸ”¬ Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
πŸ“Œ Fault detection in mechanical components using spectral features and XGBoost.


πŸ” Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

πŸ“… 2024-02-29 | Electronics
πŸ”— DOI: 10.3390/electronics13050926
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ 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

πŸ“… 2024-01-18 | Preprint
πŸ”— DOI: 10.20944/preprints202401.1371.v1
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ 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

πŸ“… 2023 | IEEE Access
πŸ”— DOI: 10.1109/ACCESS.2023.3266865
πŸ‘¨β€πŸ”¬ Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
πŸ“Œ Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Mr. Getachew Ambaye | Soft Robotics | Best Researcher Award

Mr. Getachew Ambaye | Soft Robotics | Best Researcher Award

Wichita State University, United States.

Getachew Ambaye is an accomplished researcher, educator, and engineer specializing in industrial and mechanical engineering. Based in Wichita, KS, USA, he is currently completing his Ph.D. in Industrial & Manufacturing Engineering at Wichita State University (WSU). With extensive experience in academia and industry, he has contributed significantly to mechanical design, robotics, and manufacturing research. Getachew has a strong publication record in high-impact journals and actively participates in engineering education and research projects.

Profile

Orcid

Education πŸŽ“

Getachew Ambaye is a dedicated researcher and engineer with a strong academic background in industrial and mechanical engineering. He is currently completing his Ph.D. in Industrial & Manufacturing Engineering at Wichita State University, USA (2022–Present) and is ready to defend his dissertation. Prior to this, he pursued a Higher Diploma Program at Bahir Dar Institute of Technology (BiT), Ethiopia (2021–2022) to enhance his expertise in engineering education. He holds an MSc. in Mechanical Design Engineering from Jimma Institute of Technology (JiT), Ethiopia (2017–2020), where he focused on advanced mechanical design principles and numerical analysis. His journey in engineering began with a BSc. in Mechanical Engineering from Jimma Institute of Technology (JiT), Ethiopia (2012–2016), providing him with a solid foundation in mechanical systems, design, and manufacturing. Through his academic and research pursuits, Getachew continues to contribute to advancements in robotics, manufacturing, and industrial automation.

Experience πŸ’Ό

Teaching & Academic Positions

Getachew Ambaye has extensive teaching experience in engineering education across multiple institutions. Since 2022, he has been an Instructor at Wichita State University, USA, where he teaches IME 222: Engineering Graphics, its associated IME 222L lab (focusing on 3DX & CATIA V5), and serves as a Graduate Teaching Assistant (GTA) for IME 425: Kinematics and Dynamics Design. In 2024, he joined Hesston College, USA, as an Engineering Professor, where he teaches ENGR 422: Design of Machines, mentors students in ENGR 477 & 478: Senior Design Capstone Project, and guides courses in ENGR 372 & 371: Mechatronic System Design & Fundamentals. Before moving to the U.S., he was a Lecturer at Bahir Dar Institute of Technology (BiT), Ethiopia (2020–2022) and served as an Assistant Lecturer and Lecturer at Jimma Institute of Technology (JiT), Ethiopia (2016–2020). Additionally, he contributed as a Guest Lecturer/Trainer at Ethio Engineering Group (EEG), Ethiopia (2021–2022), delivering specialized training programs.

Research Interests πŸ”¬

Soft Robotics & Finite Element Analysis

Machine Learning for Industrial Applications

Mechanical System Dynamics & Vibration Analysis

Product Design & Development

Advanced Manufacturing Processes

Awards & Recognitions πŸ†

Dr. David M. Aber Scholarship, Wichita State University (2024)

Volunteer & Participant, 2024 COExperience & MBSE Cyber Systems Symposium

Presenter, Multiple international conferences including IWAMA, ICAST, and ICT4DA

Selected Publications πŸ“š

Soft Robot Workspace Estimation via Finite Element Analysis and Machine Learning
Actuators, 2025 | DOI: 10.3390/act14030110
Contributors: Getachew Admassie Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan

Soft Robot Design, Manufacturing, and Operation Challenges: A Review
Journal of Manufacturing and Materials Processing, 2024 | DOI: 10.3390/jmmp8020079
Contributors: Getachew Admassie Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan

Robot Arm Damage Detection using Vibration Data and Deep Learning
Neural Computing and Applications, 2024 | DOI: 10.1007/s00521-023-09150-3
Contributors: Getachew Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan

Contact Temperature Analysis of the Classical Geneva Mechanism through Numerical Methods
Materials Today: Proceedings, 2022 | DOI: 10.1016/j.matpr.2022.01.420
Contributors: Getachew A. Ambaye, Hirpa G. Lemu, Mesay A. Tolcha

Numerical Stress Analysis and Fatigue Life Prediction of the Classical External Geneva Mechanism
Book Chapter, 2022 | DOI: 10.1007/978-981-19-0572-8_23
Contributors: Getachew A. Ambaye, Hirpa G. Lemu