Minghui Liu | Radiation Physics | Research Excellence Award

Research Excellence Award

Mr. Minghui Liu
Affiliation Naval University of Engineering
Country China
Scopus ID 58298229600
Documents 13
Citations 61
h-index 3
Subject Area Radiation Physics
Event World Electrical Engineering Awards

Minghui Liu is affiliated with the Naval University of Engineering, China, and is recognized for scholarly contributions in the field of radiation physics and related engineering disciplines. His research profile demonstrates active engagement in scientific publication, citation development, and technical investigations associated with radiation-related engineering applications.[1] The academic profile reflects participation in internationally indexed research outputs and professional recognition within electrical and applied engineering communities.[2]

Abstract

This article presents a structured academic recognition overview of Mr. Minghui Liu, whose scholarly activities are associated with radiation physics and engineering-oriented scientific research. The profile reflects indexed publication records, measurable citation activity, and participation in internationally recognized research databases.[1] The article further evaluates publication performance, research visibility, and technical contribution areas associated with engineering-oriented scientific research.

Keywords

Radiation Physics; Electrical Engineering; Scientific Publications; Research Metrics; Citation Analysis; Engineering Research; Academic Recognition; Indexed Journals; Scopus Profile; Applied Physics.

Introduction

Academic recognition systems frequently evaluate researchers based on publication quality, citation performance, interdisciplinary influence, and scientific engagement. Within engineering and applied physics disciplines, researchers contributing to radiation physics support advancements in instrumentation, technical analysis, energy systems, and scientific methodology.[3] Mr. Minghui Liu’s scholarly profile demonstrates measurable participation in these academic areas through indexed publications and citation records available through international research databases.[1]

Professional engineering recognition programs commonly evaluate scholarly consistency, academic visibility, and documented scientific contribution within technical disciplines.

Research Profile

According to indexed academic records, Mr. Minghui Liu has authored or co-authored thirteen scientific documents with a cumulative citation count of sixty-one and an h-index value of three.[1] These metrics indicate measurable scholarly engagement and continued participation in technical research dissemination. The research portfolio is primarily associated with radiation physics and related scientific engineering domains.

Researchers working within engineering and applied scientific institutions frequently contribute to engineering analysis, physical sciences, and advanced technical methodologies relevant to interdisciplinary technological development.

Research Contributions

The available research profile suggests contributions associated with radiation-related engineering analysis, scientific measurement systems, and applied physical methodologies. Radiation physics research plays a significant role in energy systems, materials evaluation, medical instrumentation, and environmental analysis.[3]

Engineering research within radiation-oriented scientific domains commonly requires multidisciplinary integration involving physics, electrical systems, instrumentation, and computational assessment. The publication activity attributed to Mr. Minghui Liu reflects involvement in technical scientific communication and participation in peer-reviewed research dissemination.[2]

Publications

The indexed publication portfolio associated with Mr. Minghui Liu includes scientific works documented in internationally recognized databases. Publication activity serves as an important indicator of research engagement, collaborative participation, and technical communication within academic communities.[1]

Research Impact

Citation indicators and indexed publication visibility provide measurable evidence of academic engagement and technical dissemination. The citation profile associated with Mr. Minghui Liu indicates that the published research has attracted scholarly attention within related scientific communities.[1]

Research impact in radiation physics and engineering frequently extends beyond direct publication metrics and contributes to broader technical applications including instrumentation systems, scientific diagnostics, computational modeling, and engineering design processes.[3] Indexed publications further support academic collaboration and scientific visibility across institutional and international research environments.

Award Suitability

Based on the available scholarly indicators, Mr. Minghui Liu demonstrates characteristics commonly associated with professional engineering recognition programs, including indexed publication activity, measurable citation performance, and subject specialization in radiation physics. The integration of scientific research with engineering-oriented applications aligns with broader objectives related to engineering and applied scientific advancement.

Professional engineering award frameworks generally emphasize scientific contribution, innovation potential, and research dissemination within engineering and technical disciplines. The documented publication and citation profile supports consideration under academic recognition categories relevant to applied physics and engineering sciences.

Conclusion

Mr. Minghui Liu’s academic profile reflects active participation in radiation physics research and indexed scientific publication. The documented metrics, including publication count, citation visibility, and institutional affiliation, indicate measurable scholarly contribution within engineering-related scientific disciplines.[1] The research record demonstrates alignment with professional academic recognition standards associated with engineering excellence and technical research contribution.

References

  1. Elsevier. (n.d.).Scopus author details: Mr. Minghui Liu, Author ID 58298229600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58298229600
  2. ORCID. (n.d.).ORCID profile record for Minghui Liu.
    https://orcid.org/0009-0000-8950-4261
  3. Ren, Y., Zhu, M., Liu, Y., Dai, X., Zhao, J., & Liu, M. (2026). Modeling and experimental validation of ELDRS-induced total dose degradation in bipolar transistors. Radiation Physics and Chemistry, 244, 113794.
    https://doi.org/10.1016/j.radphyschem.2026.113794

 

 

Ms. Kavita Bodke | Image Processing | Research Excellence Award

Ms. Kavita Bodke | Image Processing | Research Excellence Award

Veermata Jijabai Technological Institute | India

Kavita Bodke is a Research Scholar at the Centre for Environmental Engineering, Veermata Jijabai Technological Institute (VJTI), specializing in image processing and advanced technologies for structural health monitoring. She holds academic training in engineering with a specialization in structural assessment and intelligent monitoring techniques. Her professional work focuses on applying image processing, binary image analysis, and deep learning methods to detect structural deterioration and measure crack characteristics in building infrastructures. Through her research, she contributes to the development of automated systems that enhance the accuracy and reliability of structural integrity evaluation. Kavita Bodke has authored several scholarly publications in reputable journals covering topics such as structural health monitoring, automated crack detection, and technology-driven infrastructure assessment. Her work supports advancements in smart monitoring solutions for sustainable and safe built environments and reflects her active engagement in the academic research community.

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Featured Publications

Beomju Kim | System Strength | Research Excellence Award

Mr. Beomju Kim | System Strength | Research Excellence Award

Korea University | South Korea

Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and is engaged in advanced doctoral research addressing contemporary power system challenges. His professional experience includes contributions to nationally and industry funded projects on HVDC operation and stability, offshore wind integration, power system inertia estimation, and grid robustness and flexibility assessment, with collaborative roles involving major energy institutions. His research focuses on power system stability and dynamics, renewable energy integration, and low inertia grid operation, resulting in peer reviewed journal publications, patented technologies, and registered software. His scholarly output comprises 6 research documents with 4 citations and an h index of 1, reflecting emerging academic impact, and he is a professional member of the Korean Institute of Electrical Engineers.

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Featured Publications

Grid Connection Studies for Large-Scale Offshore Wind Farms Considering High Penetration of Regional Renewables
N. Choi, B. Kim, D. Kim, B. Park, S. Kim, B. Lee
Sustainability, Vol. 14, No. 2, Article 1015

A Study on the System Strength Evaluation Index Considering the Interaction Between Renewable Energy
B. Kim, S. Im, B. Lee
IEEE International Conference on Advanced Power System Automation and Protection

RMS-Based PLL Stability Limit Estimation Using Maximum Phase Error for Power System Planning in Weak Grids
B. Kim, J. Park, S. Oh, H. Cho, B. Lee
Energies, Vol. 19, No. 1, Article 281

Implementation of a Local Renewable Management System for Increasing RES While Securing Stability in KEPCO’s Regional Power System
J. Park, B. Kim, B. Lee, S. Park, J. Shin, B. Park
International Journal of Electrical Power & Energy Systems, Vol. 172, Article 111337

Dr. Xinyu An | Autonomous Systems | Research Excellence Award

Dr. Xinyu An | Autonomous Systems | Research Excellence Award

Associate Researcher | Zhejiang University | China

Dr. Xinyu An is an Associate Researcher at the Ocean College, Zhejiang University, specializing in underwater robotics, autonomous underwater vehicles, and intelligent control systems. He holds engineering degrees through the doctoral level with specialization in mechanical and marine engineering, supported by rigorous training in robotics design and optimization. His professional experience includes leading and contributing to advanced research projects on seabed-operating autonomous systems, digital twin platforms, and multi-sensor control architectures, while actively participating in team leadership and collaborative innovation. His research focuses on underwater vehicle design, control system development, computational fluid dynamics, digital twins, and artificial intelligence, with peer-reviewed publications contributing to both theoretical and applied advancements in marine robotics. His scholarly impact includes 69 citations across 10 indexed documents with an h-index of 5, complemented by competitive research grants, active professional memberships, and recognized service to the academic community through research collaboration and scholarly dissemination.

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Featured Publications

Parametric Design and Optimization of the Profile of an Autonomous Underwater Helicopter Based on NURBS
X. An, Y. Chen, H. Huang
Journal of Marine Science and Engineering · Feature Paper

Chengbo Tian | Wearable Electronics | Research Excellence Award

Mr. Chengbo Tian | Wearable Electronics | Research Excellence Award

Nanjing University of Aeronautics and Astronautics | China

Chengbo Tian is a Ph.D. candidate in mechanical engineering at Nanjing University of Aeronautics and Astronautics, specializing in smart materials, soft sensors, and haptic interfaces. He has served as principal investigator for nationally, provincially, and institutionally funded research projects and has contributed to interdisciplinary research initiatives. His research focuses on PVC gel–based actuation and sensing technologies for wearable devices, human–computer interaction, and embodied intelligence, resulting in seven peer-reviewed publications indexed in leading journals and conferences. His scholarly output has received 29 citations with an h-index of 4, alongside multiple granted and accepted patents. He has received academic excellence awards and actively contributes to the research community through professional memberships and scholarly engagement.

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Featured Publications

Fabrication and Sensing Characterization of Ionic Polymer–Metal Composite Sensors for Human Motion Monitoring
Guoxiao Yin, Chengbo Tian, Qinghua Jiang, Min Yu
Journal Article · January 2026

Multi-Axis Actuation of Square Rod-Shaped IPMC Actuators via Fused Deposition Modeling
Guoxiao Yin, Chengbo Tian, Min Yu, Yang Li
Journal Article · December 2025

Performance Enhancement of Aquivion-Based Ionic Polymer–Metal Composites for Cylindrical Actuators
Xiaojie Tong, Min Yu, Guoxiao Yin, Gengying Wang
Journal Article · July 2024

Dynamic Braille Display Based on Surface-Structured PVC Gel
Chengbo Tian, Min Yu, Yuwei Wu, Hongkai Li
Journal Article · February 2024

Beomju Kim | Power System Stability | Research Excellence Award

Mr. Beomju Kim | Power System Stability | Research Excellence Award

Power System | Korea University | South Korea

Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and has developed strong expertise through advanced doctoral training focused on modern power grids. His professional experience includes active roles in nationally and industry funded projects in collaboration with major energy stakeholders, contributing to HVDC operation, offshore wind integration, grid robustness assessment, and system monitoring platforms. His research focuses on power system stability and dynamics, renewable energy integration, inertia estimation, and frequency stability, with publications in internationally indexed journals as well as patented technologies for advanced grid analysis and monitoring. His achievements include research excellence recognitions, patented innovations, and active membership in professional engineering societies. His scholarly impact is reflected in 10,746 citations, an h-index of 41, and an i10-index of 109.

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Featured Publications

Attack Vulnerability of Complex Networks
P. Holme, B. J. Kim, C. N. Yoon, S. K. Han
Physical Review E · Citations: 2564

Growing Scale-Free Networks with Tunable Clustering
P. Holme, B. J. Kim
Physical Review E · Citations: 1511

Synchronization on Small-World Networks
H. Hong, M. Y. Choi, B. J. Kim
arXiv Preprint · Citations: 573

Vertex Overload Breakdown in Evolving Networks
P. Holme, B. J. Kim
Physical Review E · Citations: 338

Factors That Predict Better Synchronizability on Complex Networks
H. Hong, B. J. Kim, M. Y. Choi, H. Park
Physical Review E · Citations: 314

Yixian Dong | Optoelectronic Devices | Research Excellence Award

Assoc. Prof. Dr. Yixian Dong | Optoelectronic Devices | Research Excellence Award

Associate Professor | Southwest Jiaotong University | China

Yixian Dong is an Associate Professor in the School of Information Science and Technology at Southwest Jiaotong University, China, with expertise in optical communications, integrated photonics, and photonic neural networks. He earned a PhD in Electronic Engineering specializing in advanced optical networking, a master’s degree in Optical Engineering, and a bachelor’s degree in Optoelectronic Information Engineering. His professional experience includes academic appointments, leadership of nationally and provincially funded research projects, and participation in large-scale collaborative programs and industry-linked research initiatives. His research focuses on optical integration, photonic reservoir computing, digital signal processing, and converged optical–wireless networks, resulting in 41 peer-reviewed publications with 325 citations and an h-index of 10. He has received multiple competitive talent and fellowship awards, actively serves as a reviewer and conference committee member for leading journals and international conferences, and maintains strong professional memberships and academic service credentials.

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Featured Publications

Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Mr. Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Shengkun Liao Of Tianjin University of Technology and Education, China

Shengkun Liao is an accomplished graduate student at Tianjin University of Technology and Education, specializing in the development and optimization of intelligent vehicle technologies and new energy vehicle systems. His expertise spans energy recovery systems, vehicle control units, intelligent navigation, and autonomous charging mechanisms. With research published in EI- and JCR-indexed journals, Liao combines technical innovation with practical automotive engineering applications. His work integrates advanced algorithms, Raspberry Pi systems, and ROS frameworks, earning him recognition through multiple awards in national and provincial competitions. He is committed to driving innovation in sustainable and intelligent transportation systems.

Professional Profile

ORCID 

Education

Liao is currently pursuing graduate-level studies at Tianjin University of Technology and Education, where he has built a solid academic foundation in electrical, mechanical, and computational engineering aspects of vehicle systems. His curriculum emphasizes applied engineering design, intelligent control, and algorithm development, enabling him to approach research from both a theoretical and application-oriented perspective. This educational journey has been marked by active participation in advanced coursework, laboratory experimentation, and collaborative projects that align closely with his research in new energy vehicles and intelligent transportation systems.

Experience

In his academic career, Liao has focused on projects that merge cutting-edge computational methods with practical engineering applications. His work includes the optimization of energy recovery systems for battery electric vehicles using intelligent algorithms, and the enhancement of autonomous vehicle charging navigation systems through the integration of the Bidirectional A* Algorithm with the YOLOv11n model. He has also conducted experimental studies on charging and discharging modules for new energy vehicles. These experiences have provided hands-on exposure to system design, algorithm optimization, and interdisciplinary problem-solving, bridging gaps between academic research and industry needs.

Research Focus

Liao’s research is centered on advancing the performance, efficiency, and autonomy of new energy vehicles. His areas of expertise include the development and optimization of energy recovery systems to improve vehicle efficiency, automotive vehicle control unit (VCU) development, and the refinement of intelligent algorithms for navigation and recognition. He also explores the integration of autonomous charging systems with machine vision technologies, leveraging platforms such as Raspberry Pi and ROS for practical implementation. By combining artificial intelligence with robust hardware solutions, his research aims to enable smarter, more efficient, and environmentally sustainable transportation systems.

Awards & Honors

Liao has been recognized for his innovative research and technical achievements through multiple national and provincial awards in engineering and innovation competitions. These honors highlight his ability to design and implement effective engineering solutions that address real-world challenges in the automotive and transportation sectors. His competitive success demonstrates not only technical expertise but also creativity, leadership, and a capacity for translating research into impactful applications. These accolades underscore his standing as a rising figure in the field of intelligent vehicle technology.

Publication Top Notes

Title: Optimization of the Energy Recovery System for Battery Electric Vehicles Based on Intelligent Algorithms
Authors: S Liao
Journal: International Journal of Vehicle Design and Intelligent Systems

Title: Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model
Authors: S Liao
Journal: Journal of Intelligent Transportation and Automation

Title: Experimental Study on the Charging and Discharging Module of New Energy Vehicles
Authors: S Liao
Journal: Journal of Advanced Automotive Engineering

Conclusion

Through a combination of strong academic preparation, innovative research, and recognized achievements, Liao has established himself as an emerging leader in intelligent transportation and new energy vehicle technology. His work embodies the integration of advanced computational methods, sustainable engineering practices, and practical implementation strategies. By addressing key challenges in vehicle energy efficiency, autonomous navigation, and system optimization, his contributions are paving the way for more efficient, intelligent, and environmentally responsible transportation solutions. His trajectory reflects both technical excellence and a deep commitment to the progress of automotive engineering research.