Fatih Yesevi OKUR | Real-Time Monitoring | Young Scientist Award

Published on by Mechanics Awards

Assist. Prof. Dr. Fatih Yesevi OKUR | Real-Time Monitoring | Young Scientist Award 

Asst. Prof, Karadeniz Technical University, Turkey.

Fatih Yılmaz Okur is a distinguished researcher and Assistant Professor at Karadeniz Technical University. With a strong background in civil engineering, Okur’s research focuses on structural dynamics, finite element analyses, and non-destructive evaluation. He has published numerous papers in reputable journals, showcasing his expertise in experimental and operational modal analysis, damage detection, and seismic behavior. Okur has also received several awards for his research and innovative work, including the Grand Prix Award and Gold Medal Award at the Teknofest 9th International Invention Fair. His dedication to advancing the field of civil engineering is evident through his involvement in various scientific projects and his commitment to mentoring students [7].

Professional Profile

Scopus

Orcid

Scholar

Education 

PhD in Civil Engineering: Karadeniz Technical University (2023) – MSc in Civil Engineering: Karadeniz Technical University (2017) – BSc in Civil Engineering: Karadeniz Technical University (2015)

Experience

Assistant Professor: Karadeniz Technical University (2023-present) – Research Assistant: Karadeniz Technical University (2018-2023) – Visiting Scholar: University of Central Florida (2019-2020)

Research Focus 

Structural Dynamics: analyzing the behavior of structures under dynamic loads – Finite Element Analyses: using numerical methods to simulate structural behavior – Non-Destructive Evaluation: developing techniques for assessing structural integrity without causing damage – Damage Detection: identifying and characterizing damage in structures – Seismic Behavior: studying the response of structures to earthquakes

Awards and Honors

Grand Prix Award: Turkish Patent and Trademark Office, Teknofest 9th International Invention Fair (2024) – Gold Medal Award: Turkish Patent and Trademark Office, Teknofest 9th International Invention Fair (2024) – Doctoral Thesis of the Year Award: Karadeniz Technical University (2024) – Young Scientist Award: Karadeniz Technical University (2022) – Research Scholarship Award: The Scientific and Technological Research Council of Turkey (TÜBİTAK) (2019)

Publication Top Notes

1. “A Novel Approach for Anomaly Detection in Vibration-Based Structural Health Monitoring Using Autoencoders in Deep Learning”
2. “Development and Validation of New Methodology for Automated Operational Modal Analysis Using Modal Domain Range”
3. “Evaluation of Scour Effects on Structural Integrity of Highway Bridges”

Dr. Hua Mao | Power semiconductor devices | Best Researcher Award

Published on by Mechanics Awards

Dr. Hua Mao | Power semiconductor devices | Best Researcher Award

Postdoctor at State Grid Sichuan Electric Power Research Institute , China

Hua Mao is a postdoctoral researcher at the State Grid Sichuan Electric Power Research Institute. Born on March 12, 1996, in China, Mao has been actively involved in research and development in the field of electrical engineering. With a strong educational background, Mao has published several papers in top-tier journals and conferences. Mao’s research focuses on transformer defect diagnosis, condition detection, and evaluation methods for high-voltage direct current circuit breakers. As a recipient of special funding for postdoctoral research projects in Sichuan Province, Mao is currently leading a project on transformer defect diagnosis technology.

Professional Profile

ORCID

🎓 Education

Hua Mao’s educational background includes:- Postdoctor (2023.12 – present): State Grid Sichuan Electric Power Research Institute- Master & Doctor (2018.9 – 2023.9): School of Electrical Engineering, Chongqing University- Bachelor (2013.9 – 2018.7): Chongqing University & University of Cincinnati, Electrical Engineering

💼 Professional Experience

Hua Mao’s experience includes:- Postdoctoral researcher at State Grid Sichuan Electric Power Research Institute (2023.12 – present)- Research on transformer defect diagnosis technology and condition detection and evaluation methods for high-voltage direct current circuit breakers- Student leader of State Grid project “In-depth research on Detection and Evaluation Technology of Mechanical High-Voltage Direct Current Circuit Breakers”- Key researcher in the National Key Research and Development Program “Research on Comprehensive Analysis and Reliability Assessment Methods of Multi-Physics Fields for Large-Capacity Power Electronic Equipment”

🏆 Honors & Awards

Hua Mao has received several awards and honors, including:- Special Funding for Postdoctoral Research Projects of Sichuan Province- Chinese patents for “Reactor fault equivalent experimental device”, “Real-time monitoring system for Electric vehicle charging status and health status evaluation”, and “A monitoring, early warning and active fire protection system for charging vehicles”- Authorized Chinese patent for “Power semiconductor structure and circuit breaker transfer branch assembly”

🔍Research Focus

Hua Mao’s research focuses on:- Transformer defect diagnosis technology- Condition detection and evaluation methods for high-voltage direct current circuit breakers- Single and repeatable avalanche reliability analysis and mechanism research of SiC MOSFET- Sub-module packaging design of modular multilevel converter (MMC)

📚Top Noted Publications

1. “Electrical and Thermal Performances of IGCT in High Voltage DC Circuit Breaker” 📊
2. “Investigation on the Degradations of Parallel Connected 4H-SiC MOSFETs under Repetitive UIS Stresses with Different Temperatures” 🔋
3. “Avalanche Capability Degradation of the Parallel-Connected SiC MOSFETs” 💻
4. “Research on Improving the Avalanche Current Limit of Parallel SiC MOSFETs” 🔌
5. “Single-Pulse Avalanche Failure Characterization of Single and Paralleled SiC MOSFETs” 🔍
6. “An Asymmetrical Power Module Design for Modular Multilevel Converter with Unidirectional Power Flow” 💡
7. “Asymmetrical Power Module for Modular Multilevel Converter with Lower Power Loss and Peak Junction Temperature” 📈
8. “Power Loss Investigation of Si-SiC Hybrid Switches in a Modular Multilevel Converter System”

 

Conclusion

 

Hua Mao is a strong candidate for the Best Researcher Award. His impressive research output, innovative research topics, and patent holdings demonstrate his expertise and contributions to the field of electrical engineering. With some further development of international collaboration, interdisciplinary research, and industry partnerships, Mao’s research could have even greater impact. Overall, Mao’s achievements and potential make him a suitable candidate for this award.

Sabum Jung | Smart factory | Best Researcher Award

Published on by Mechanics Awards

Mr. Sabum Jung | Smart factory | Best Researcher Award

Research engineer, Lg energy solution,South Korea

Sabum Jung is a seasoned Data Scientist and Machine Learning Engineer with over 23 years of expertise in predictive modeling, deep learning, and AI-driven optimization. His career spans LG Energy Solution, SK Holdings, and LG Production Engineering Research Institute, where he pioneered AI applications in high-tech manufacturing, including semiconductor, battery, and display industries. A former Military Intelligence Analyst for the U.S. Army, he has authored research papers and books on AI, machine learning, and Industry 4.0. Fluent in English, Korean, and Japanese, he continues to drive AI innovations in industrial applications.

Profile

🎓 Education

Sabum Jung holds a B.A. (3.9/4.5) and an M.S. (4.2/4.5) in Industrial Engineering from Sung Kyun Kwan University, South Korea. His academic journey focused on advanced analytics, AI-driven optimization, and industrial process improvements. His research contributions in artificial intelligence, reliability engineering, and digital transformation have shaped his expertise in machine learning, deep learning, and predictive modeling, positioning him as a leader in AI applications for manufacturing and industrial systems.

💼 Experience

Currently a Data Scientist at LG Energy Solution, Sabum Jung leads AI-driven innovations in virtual metrology, predictive maintenance, and defect analysis. Previously at SK Holdings, he optimized renewable energy predictions, semiconductor material discovery, and AI-powered industrial operations. His 20-year tenure at LG Production Engineering Research Institute saw groundbreaking work in machine learning for smart appliances, battery systems, and industrial automation. His early career as a Military Intelligence Analyst in the U.S. Army honed his analytical prowess, setting the foundation for his AI-driven problem-solving approach.

🏆 Awards & Honors

Sabum Jung has been recognized for his contributions to AI, machine learning, and industrial automation. His accolades include leadership in AI-driven manufacturing optimization, predictive maintenance, and reinforcement learning applications. He has received industry recognition for his research and innovation in deep learning, active learning, and process optimization in high-tech sectors, further cementing his influence in AI-driven industrial advancements.

🔬 Research Focus:

Sabum Jung specializes in AI applications for high-tech manufacturing, focusing on predictive maintenance, virtual metrology, and defect detection. His research spans deep learning, reinforcement learning, and AI-driven industrial process optimization. Notable contributions include renewable energy prediction, semiconductor material discovery, and advanced statistical modeling. His expertise in machine learning has been instrumental in developing AI solutions for smart manufacturing, Industry 4.0, and digital transformation.

Publications

Recent progress of LG PDP: High efficiency & productivity technologies Citations1

Conclusion

Sabum Jung is a strong candidate for the Best Researcher Award, given his vast industry experience, research excellence, and technological contributions to AI and machine learning in manufacturing. Enhancing academic collaborations and increasing research dissemination could further elevate his impact and recognition.

Atsushi Kakogawa | Robotics and Mechatronics | Best Researcher Award

Published on by Mechanics Awards

Assoc. Prof. Dr Atsushi Kakogawa |  Robotics and Mechatronics | Best Researcher Award

Associate Professor at Ritsumeikan University, Japan

🌟 Atsushi Kakogawa, Ph.D., is an Associate Professor in Robotics at Ritsumeikan University, Japan. A pioneer in robotics, he excels in mobile robot design, mechanical systems, and embedded systems. Proficient in programming languages like C++, Python, and more, Dr. Kakogawa has a prolific career marked by teaching, research, and leadership in international robotics conferences.

Profile

scholar

Education🎓 

Doctor of Engineering, Ritsumeikan University, Japan, 2015.  Master of Engineering, Ritsumeikan University, Japan, 2012.  Bachelor of Engineering, Department of Robotics, Ritsumeikan University, Japan, 2010.

Experience💼

Associate Professor, Ritsumeikan University (2023–Present).  Lecturer and Visiting Assistant Professor at University of Waterloo (2017). Assistant Professor, Ritsumeikan University (2015–2019).

Awards and Honors🏆

KAKENHI Grants from Japan Society for the Promotion of Science. Shiga Prefecture Technology Promotion Subsidy (2022). Organizer and Editor roles in top IEEE conferences, including IROS and ICRA.

Research Focus🤖

Robotics: Mobile robot design and mechanical system applications.  Embedded systems and advanced Internet communication technologies.  Multidisciplinary programming in C++, Python, and SQL for robotics innovation.

Publication  Top Notes

Design of a Multilink-Articulated Wheeled Pipeline Inspection Robot Using Only Passive Elastic Joints

Journal: Advanced Robotics, 2018

Citations: 73

Highlights: Introduces a pipeline robot leveraging passive elastic joints for adaptability in complex pipeline systems.

Mobility of an In-Pipe Robot with Screw Drive Mechanism Inside Curved Pipes

Conference: IEEE International Conference on Robotics and Biomimetics, 2010

Citations: 72

Highlights: Explores screw drive mechanisms for pipeline robots navigating curved environments.

Stiffness Design of Springs for a Screw Drive In-Pipe Robot to Pass Through Curved and Vertical Pipes

Journal: Advanced Robotics, 2012

Citations: 55

Highlights: Focuses on optimizing spring stiffness to enhance robot mobility in diverse pipe geometries.

Designing Arm Length of a Screw Drive In-Pipe Robot for Climbing Vertically Positioned Bent Pipes

Journal: Robotica, 2016

Citations: 50

Highlights: Discusses arm length designs crucial for overcoming vertical bends in pipelines.

An In-Pipe Robot with Underactuated Parallelogram Crawler Modules

Conference: IEEE International Conference on Robotics and Automation, 2014

Citations: 48

Highlights: Presents a robot with a novel crawler module enhancing adaptability and efficiency.

Design of a Multilink-Articulated Wheeled Inspection Robot for Winding Pipelines: AIRo-II

Conference: IEEE/RSJ Intelligent Robots and Systems, 2016

Citations: 46

Highlights: Develops AIRo-II, a wheeled robot optimized for winding and complex pipelines.

Pathway Selection Mechanism of a Screw Drive In-Pipe Robot in T-Branches

Conference: IEEE International Conference on Automation Science and Engineering, 2012

Citations: 42

Highlights: Proposes mechanisms for robots to autonomously navigate pipeline branches.

Development of a Screw Drive In-Pipe Robot for Passing Through Bent and Branch Pipes

Conference: IEEE ISR, 2013

Citations: 41

Highlights: Focuses on screw drive robots overcoming pipeline bends and branches.

Underactuated Modular Finger with Pull-In Mechanism for a Robotic Gripper

Conference: IEEE Robotics and Biomimetics, 2016

Citations: 40

Highlights: Introduces a robotic gripper using an underactuated mechanism for enhanced grasping.

Stiffness Design of a Resonance-Based Planar Snake Robot with Parallel Elastic Actuators

Journal: IEEE Robotics and Automation Letters, 2018

Citations: 39

Highlights: Examines stiffness optimization for snake robots in planar environments.

Conclusion

Dr. Atsushi Kakogawa is a highly accomplished researcher whose contributions to robotics and mechatronics make him a strong contender for the Best Researcher Award. His academic rigor, leadership in the robotics community, and innovation in mobile and embedded systems distinguish him as a trailblazer in his field. By addressing areas such as industrial collaboration and broader global recognition, he could solidify his position as a preeminent figure in robotics research.

Atsushi Kakogawa | Robotics and Mechatronics | Best Researcher Award Ritsumeikan University

Published on by Mechanics Awards

Assoc. Prof. Dr Atsushi Kakogawa |  Robotics and Mechatronics | Best Researcher Award

Associate Professor at Ritsumeikan University, Japan

🌟 Atsushi Kakogawa, Ph.D., is an Associate Professor in Robotics at Ritsumeikan University, Japan. A pioneer in robotics, he excels in mobile robot design, mechanical systems, and embedded systems. Proficient in programming languages like C++, Python, and more, Dr. Kakogawa has a prolific career marked by teaching, research, and leadership in international robotics conferences.

Profile

scholar

Education🎓 

Doctor of Engineering, Ritsumeikan University, Japan, 2015.  Master of Engineering, Ritsumeikan University, Japan, 2012.  Bachelor of Engineering, Department of Robotics, Ritsumeikan University, Japan, 2010.

Experience💼

Associate Professor, Ritsumeikan University (2023–Present).  Lecturer and Visiting Assistant Professor at University of Waterloo (2017). Assistant Professor, Ritsumeikan University (2015–2019).

Awards and Honors🏆

KAKENHI Grants from Japan Society for the Promotion of Science. Shiga Prefecture Technology Promotion Subsidy (2022). Organizer and Editor roles in top IEEE conferences, including IROS and ICRA.

Research Focus🤖

Robotics: Mobile robot design and mechanical system applications.  Embedded systems and advanced Internet communication technologies.  Multidisciplinary programming in C++, Python, and SQL for robotics innovation.

Publication  Top Notes

Design of a Multilink-Articulated Wheeled Pipeline Inspection Robot Using Only Passive Elastic Joints

Journal: Advanced Robotics, 2018

Citations: 73

Highlights: Introduces a pipeline robot leveraging passive elastic joints for adaptability in complex pipeline systems.

Mobility of an In-Pipe Robot with Screw Drive Mechanism Inside Curved Pipes

Conference: IEEE International Conference on Robotics and Biomimetics, 2010

Citations: 72

Highlights: Explores screw drive mechanisms for pipeline robots navigating curved environments.

Stiffness Design of Springs for a Screw Drive In-Pipe Robot to Pass Through Curved and Vertical Pipes

Journal: Advanced Robotics, 2012

Citations: 55

Highlights: Focuses on optimizing spring stiffness to enhance robot mobility in diverse pipe geometries.

Designing Arm Length of a Screw Drive In-Pipe Robot for Climbing Vertically Positioned Bent Pipes

Journal: Robotica, 2016

Citations: 50

Highlights: Discusses arm length designs crucial for overcoming vertical bends in pipelines.

An In-Pipe Robot with Underactuated Parallelogram Crawler Modules

Conference: IEEE International Conference on Robotics and Automation, 2014

Citations: 48

Highlights: Presents a robot with a novel crawler module enhancing adaptability and efficiency.

Design of a Multilink-Articulated Wheeled Inspection Robot for Winding Pipelines: AIRo-II

Conference: IEEE/RSJ Intelligent Robots and Systems, 2016

Citations: 46

Highlights: Develops AIRo-II, a wheeled robot optimized for winding and complex pipelines.

Pathway Selection Mechanism of a Screw Drive In-Pipe Robot in T-Branches

Conference: IEEE International Conference on Automation Science and Engineering, 2012

Citations: 42

Highlights: Proposes mechanisms for robots to autonomously navigate pipeline branches.

Development of a Screw Drive In-Pipe Robot for Passing Through Bent and Branch Pipes

Conference: IEEE ISR, 2013

Citations: 41

Highlights: Focuses on screw drive robots overcoming pipeline bends and branches.

Underactuated Modular Finger with Pull-In Mechanism for a Robotic Gripper

Conference: IEEE Robotics and Biomimetics, 2016

Citations: 40

Highlights: Introduces a robotic gripper using an underactuated mechanism for enhanced grasping.

Stiffness Design of a Resonance-Based Planar Snake Robot with Parallel Elastic Actuators

Journal: IEEE Robotics and Automation Letters, 2018

Citations: 39

Highlights: Examines stiffness optimization for snake robots in planar environments.

Conclusion

Dr. Atsushi Kakogawa is a highly accomplished researcher whose contributions to robotics and mechatronics make him a strong contender for the Best Researcher Award. His academic rigor, leadership in the robotics community, and innovation in mobile and embedded systems distinguish him as a trailblazer in his field. By addressing areas such as industrial collaboration and broader global recognition, he could solidify his position as a preeminent figure in robotics research.