Hezrone Mujawo | Engineering | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Hezrone Mujawo
Saudi Aramco, Saudi Arabia

Hezrone Mujawo
Affiliation Saudi Aramco
Country Saudi Arabia
Subject Area Engineering
Event Global Scholar Awards
ORCID 0009-0002-7491-5900

Hezrone Mujawo is an engineering researcher affiliated with Saudi Aramco whose scholarly work emphasizes practical industrial innovation, engineering reliability, process optimization, and sustainable technological development. His research activities contribute to applied engineering solutions that support operational efficiency and industrial advancement while aligning with internationally recognized research standards.[1]

Abstract

Hezrone Mujawo conducts engineering research focused on industrial process improvement, operational reliability, sustainable technologies, and practical innovation supporting modern energy systems. His scholarly activities integrate engineering principles with industrial applications to enhance safety, efficiency, and long-term infrastructure performance. Through collaborative research and technical publications, his work contributes to improved engineering methodologies, technological optimization, and knowledge dissemination within industrial environments. His research demonstrates commitment to evidence-based engineering solutions that address practical challenges while supporting innovation, responsible resource utilization, and continuous technological advancement across engineering disciplines recognized through internationally indexed scientific literature.[1]

Keywords

Hezrone Mujawo: Engineering, Industrial Engineering, Process Optimization, Energy Engineering, Reliability Engineering, Asset Integrity, Industrial Innovation, Sustainable Engineering, Maintenance Engineering, Risk Assessment, Engineering Systems, Operational Excellence.

Introduction

Hezrone Mujawo develops engineering research supporting industrial efficiency, technological innovation, and operational sustainability through applied scientific methodologies. His academic contributions reflect practical engineering perspectives addressing industrial challenges while encouraging continuous improvement, responsible engineering practice, and collaborative scientific development within globally recognized research environments.[2]

Research Profile

Hezrone Mujawo maintains a professional engineering research profile emphasizing industrial operations, infrastructure reliability, engineering optimization, and sustainable technology implementation. His affiliation with Saudi Aramco reflects engagement in technically demanding environments where engineering research supports operational excellence, innovation, and continuous technological advancement.[1]

Research Contributions

Hezrone Mujawo contributes engineering knowledge through research addressing industrial performance, process reliability, maintenance strategies, and engineering sustainability. His work supports evidence-based decision making by integrating technical analysis with practical industrial applications, encouraging improvements that strengthen engineering productivity, operational safety, and infrastructure resilience.[1]

Publications

Hezrone Mujawo has contributed scholarly publications covering engineering innovation, industrial systems, operational optimization, and sustainable technological development. These publications demonstrate engagement with peer-reviewed scientific communication while supporting knowledge exchange across engineering disciplines and encouraging practical implementation within industrial research and development environments.[2]

Research Impact

Hezrone Mujawo’s engineering research strengthens industrial knowledge through technically relevant investigations supporting operational reliability, innovation, and sustainable engineering practices. His scholarly contributions encourage continuous technological improvement while promoting practical engineering solutions that benefit industrial organizations, researchers, and engineering professionals internationally.[2]

Award Suitability

Hezrone Mujawo demonstrates qualities aligned with the Innovative Research Award through engineering scholarship emphasizing industrial innovation, technical excellence, collaborative research, and practical impact. His sustained commitment to engineering advancement reflects the objectives of recognizing researchers contributing meaningful scientific and technological progress internationally.[1]

Conclusion

Hezrone Mujawo represents engineering research dedicated to practical innovation, industrial excellence, and sustainable technological advancement. His scholarly activities illustrate continued commitment to applied engineering knowledge, collaborative research, and professional development while supporting internationally recognized standards for scientific excellence and engineering innovation.[2]

References

    1. Mujawo, H., & Alimi, O. A. (Year). A safety-case-driven hybrid digital twin for centrifugal compressor health monitoring. https://doi.org/10.3390/machines14070712
    2. ORCID. (n.d.). ORCID record: Hezrone Mujawo.
      https://orcid.org/0009-0002-7491-5900

Ming Tang | Engineering | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Ming Tang
University of Cincinnati, United States

Ming Tang
Affiliation University of Cincinnati
Country United States
Scopus ID 52464583400
Documents 20
Citations 129
h-index 6
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0001-7284-856X

Ming Tang is an engineering researcher affiliated with the University of Cincinnati whose scholarly work contributes to advanced engineering research through peer-reviewed publications and interdisciplinary collaboration. His published studies demonstrate sustained engagement in engineering innovation, scientific methodology, and applied research while generating measurable scholarly visibility through citations and recognized indexing databases.[1]

Abstract

Ming Tang has established a research profile in engineering through peer-reviewed publications emphasizing advanced manufacturing, computational engineering, materials processing, design optimization, and related interdisciplinary technologies. His scholarly output demonstrates consistent scientific investigation supported by recognized indexing in Scopus and international academic visibility. Citation performance and collaborative publications indicate continuing influence within engineering research communities. The documented publication record reflects methodological rigor, practical relevance, and contributions to knowledge advancement while supporting innovation across engineering applications. These accomplishments collectively demonstrate a sustained commitment to research excellence and scholarly communication within contemporary engineering disciplines.[1][2]

Keywords

Advanced Manufacturing, Mechanical Engineering, Additive Manufacturing, Materials Engineering, Composite Materials, Finite Element Analysis, Computational Modeling, Experimental Mechanics, Simulation, Engineering Design, Mechanical Behavior, Process Optimization, Digital Manufacturing, Applied Engineering.

Introduction

Ming Tang develops engineering research addressing manufacturing technologies, computational methods, and materials engineering through interdisciplinary collaboration. His publications reflect practical scientific investigation supporting industrial innovation while contributing validated engineering knowledge. Scholarly dissemination through indexed journals strengthens international visibility and encourages continued advancement across modern engineering research communities.[2]

Research Profile

Ming Tang maintains an established publication portfolio indexed in Scopus with documented citations demonstrating scholarly engagement. His academic profile highlights engineering research, collaborative investigations, measurable citation performance, and sustained participation in peer-reviewed publishing, reflecting continuing contributions to engineering scholarship and scientific communication internationally.[1]

Research Contributions

Ming Tang contributes to engineering through investigations involving manufacturing innovation, material performance, computational analysis, and design methodologies. His research integrates theoretical understanding with practical engineering applications, encouraging reproducible scientific outcomes while supporting technological development, interdisciplinary collaboration, and continuous improvement within engineering practice.[3]

Publications

Ming Tang has produced peer-reviewed engineering publications covering manufacturing systems, advanced materials, computational engineering, and process optimization. Published articles include internationally indexed research with persistent digital object identifiers, enabling academic accessibility, reproducibility, and long-term scholarly dissemination through recognized scientific publishing platforms.[4]

Research Impact

Ming Tang demonstrates research impact through documented citations, peer-reviewed publications, international database indexing, and interdisciplinary collaboration. Citation indicators reflect recognition by fellow researchers while supporting broader engineering knowledge development and encouraging continued academic influence across evolving technological and manufacturing research domains.[1]

Award Suitability

Ming Tang demonstrates characteristics aligned with the Innovative Research Award through measurable scholarly productivity, engineering innovation, citation performance, and sustained publication activity. His documented academic achievements support recognition for research excellence while reflecting continued commitment to advancing engineering knowledge through internationally disseminated scientific investigations.[5]

Conclusion

Ming Tang continues contributing to engineering through scholarly publications, collaborative research, and measurable academic impact. His documented achievements indicate consistent scientific engagement supporting innovation, engineering advancement, and international scholarly communication, making his research profile representative of sustained academic excellence within contemporary engineering disciplines.[2]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Ming Tang, Author ID 52464583400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=52464583400
  2. ORCID. (n.d.). Ming Tang ORCID Record.
    https://orcid.org/0000-0001-7284-856X
  3. ResearchGate. (n.d.). Ming Tang Research Publications.
    https://www.researchgate.net/profile/Ming-Tang-43
  4. Tang, M., et al. Representative Engineering Publication.
    https://ascelibrary.org/doi/10.1061/9780784484876.033
  5. Google Scholar. (n.d.). Ming Tang Citation Profile.
    https://scholar.google.com/citations?hl=en&user=BTE9jlgAAAAJ&view_op=list_works&sortby=pubdate

Yujing Yang | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Yujing Yang
Shanxi University, China

                                 Yujing Yang
Affiliation Shanxi University
Country China
Scopus ID 55946229700
Documents 5
Citations 49
h-index 4
Subject Area Engineering
Event Global Scholar Awards

The Best Researcher Award recognizes researchers who have demonstrated scholarly productivity, academic rigor, and meaningful contributions within their respective disciplines. Yujing Yang of Shanxi University has developed a research profile in engineering, supported by peer-reviewed publications, measurable citation impact, and continued participation in scientific advancement. The evaluation of scholarly influence is commonly supported through bibliometric indicators including publication count, citation performance, and h-index metrics.[1][2]

Abstract

Yujing Yang is an engineering researcher affiliated with Shanxi University whose scholarly record demonstrates sustained engagement in academic research and publication. Available bibliometric indicators show five indexed documents, forty-nine citations, and an h-index of four, reflecting measurable visibility within the research community.[1] Through contributions to engineering-related investigations, the researcher has participated in the advancement of scientific knowledge and technical understanding. The Best Researcher Award evaluation considers publication quality, citation influence, scholarly consistency, and contribution to the broader academic community, all of which are recognized indicators of research achievement.[2]

Keywords

Engineering Research; Scholarly Publications; Citation Analysis; Academic Impact; Research Evaluation; Scientific Contributions; Bibliometrics; Shanxi University

Introduction

Yujing Yang has established a developing research profile within the engineering discipline through scholarly publications and measurable citation performance. Academic evaluation frameworks frequently consider publication productivity, citation influence, and research quality when assessing scientific contributions and professional recognition within engineering and related technical fields.[1]

Research Profile

Affiliated with Shanxi University, Yujing Yang has produced research outputs indexed in Scopus and has accumulated citations that demonstrate engagement from the scholarly community. Bibliometric indicators report five documents, forty-nine citations, and an h-index of four, providing evidence of academic visibility and research dissemination.[1]

Research Contributions

The researcher’s contributions are reflected through peer-reviewed engineering publications that support scientific understanding and technical development. These studies contribute to the collective knowledge base of the discipline and demonstrate participation in research activities aligned with recognized academic standards and scholarly communication practices.[2]

Publications

Yujing Yang’s publication record includes multiple Scopus-indexed research documents within engineering-related subject areas. The published works contribute to academic discourse and provide a foundation for citation-based recognition. Publication activity remains a central indicator when evaluating scholarly productivity and research performance.[1]

Research Impact

Research impact can be observed through citation metrics and the continued use of published findings by other scholars. With forty-nine citations and an h-index of four, the available indicators suggest that Yujing Yang’s research has achieved measurable academic visibility and engagement within the scholarly literature.[1]

Award Suitability

Yujing Yang demonstrates characteristics commonly associated with research excellence, including peer-reviewed publications, citation-based influence, and ongoing scholarly activity. These achievements align with widely accepted criteria used in research award evaluations, supporting consideration for recognition through the Best Researcher Award program.[2]

Conclusion

Based on available bibliometric evidence and publication activity, Yujing Yang has demonstrated meaningful participation in engineering research. The combination of scholarly output, citation performance, and institutional affiliation supports recognition of the researcher’s contributions and professional standing within the academic community.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Yujing Yang, Author ID 55946229700. Scopus.https://www.scopus.com/authid/detail.uri?authorId=55946229700
  2. Yang, Y., Tang, W., Shen, W., & Wang, T. (2024). Enhancing risk management by partnering in international EPC projects: Perspective from evolutionary game in Chinese construction companies. Buildings, 14(6), 1770. https://www.mdpi.com/2071-1050/11/19/5332
  3. Global Scholar Awards. (n.d.). Best Researcher Award Evaluation and Recognition Framework.https://globalscholarawards.com/

Semra TEBRİZCİK | Engineering | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Semra TEBRİZCİK
Kırıkkale University, Turkey

Semra TEBRİZCİK
Affiliation Kırıkkale University
Country Turkey
Scopus ID 60040940400
Documents 2
Citations 2
h-index 1
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0002-2984-7403

The Innovative Research Award recognizes researchers whose scholarly activities contribute to the advancement of knowledge and innovation within their disciplines. Semra TEBRİZCİK, affiliated with Kırıkkale University, has established a developing research profile within the field of Engineering through peer-reviewed academic publications and internationally indexed scholarly contributions.[1]

Abstract

Semra TEBRİZCİK is an engineering researcher affiliated with Kırıkkale University whose academic activities contribute to ongoing developments in engineering science and applied technological research. Her scholarly profile includes peer-reviewed publications indexed in international databases, reflecting engagement with contemporary engineering challenges and scientific methodologies. Through research dissemination, collaboration, and participation in academic knowledge exchange, she supports the advancement of evidence-based engineering practices. Her published work demonstrates commitment to scientific rigor, technical analysis, and the generation of knowledge relevant to engineering applications. These contributions establish a foundation for continued academic and professional development within the discipline.[1]

Keywords

Engineering, Applied Engineering Research, Technological Innovation, Scientific Research, Engineering Systems, Academic Publications, Technical Analysis, Research Development

Introduction

Engineering research plays a significant role in addressing technical challenges and supporting innovation across industrial and societal sectors. Semra TEBRİZCİK contributes to this field through scholarly activities that emphasize scientific investigation, analytical methodologies, and knowledge dissemination. Her work reflects engagement with contemporary engineering topics and contributes to the broader academic community through peer-reviewed research outputs and professional scholarship.[3]

Research Profile

The research profile of Semra TEBRİZCİK is centered within the engineering discipline and is characterized by scholarly publication, technical investigation, and academic engagement. Her contributions have been indexed through recognized international research databases, demonstrating participation in the global scientific community. The available publication and citation record indicates an emerging and developing academic trajectory focused on engineering research and innovation.[1]

Research Contributions

Semra TEBRİZCİK has contributed to engineering scholarship through research publications addressing technical and scientific topics relevant to her field. Her work supports the accumulation of disciplinary knowledge and encourages further investigation within engineering domains. By participating in scholarly communication and peer-reviewed publication processes, she contributes to research visibility, methodological advancement, and academic knowledge exchange.[1]

Publications

The researcher has produced peer-reviewed publications indexed within Scopus, reflecting recognized scholarly activity in engineering. These publications contribute to the dissemination of research findings and support engagement with international academic audiences. The documented publication record demonstrates involvement in scientific inquiry and participation in the publication standards expected within contemporary engineering research environments.[2]

Research Impact

Research impact can be observed through scholarly visibility, citation activity, and contribution to ongoing scientific discussions. Semra TEBRİZCİK’s publications have received citations, indicating engagement by fellow researchers and recognition within relevant academic circles. Such indicators suggest that her work contributes to knowledge dissemination and supports future investigations within engineering-related areas of study.[1]

Award Suitability

Semra TEBRİZCİK demonstrates qualities aligned with the objectives of the Innovative Research Award through scholarly publication, academic participation, and engineering-focused research contributions. Her documented record of peer-reviewed outputs and engagement with scientific research supports consideration for recognition. These achievements reflect commitment to academic excellence, knowledge advancement, and responsible scientific inquiry within engineering disciplines.[4]

Conclusion

The academic activities of Semra TEBRİZCİK illustrate a developing contribution to engineering research through publication, scholarly engagement, and scientific investigation. Her research profile reflects participation in internationally recognized academic platforms and demonstrates commitment to advancing knowledge within her discipline. These accomplishments support her recognition within the context of research excellence and innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Semra TEBRİZCİK, Author ID 60040940400. Scopus.https://www.scopus.com/authid/detail.uri?authorId=60040940400
  2. ORCID. (n.d.). ORCID record for Semra TEBRİZCİK.https://orcid.org/0000-0002-2984-7403
  3. ResearchGate. (n.d.). ResearchGate profile of Semra TEBRİZCİK.https://www.researchgate.net/profile/Semra-Tebrizcik
  4. Global Scholar Awards. (n.d.). International Research Recognition Program.https://globalscholarawards.com/

Rong Chen | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Mr. Rong Chen | Engineering | Research Excellence Award

Senior Engineer | Zhejiang Sci-Tech University | China

Mr. Rong Chen is a researcher affiliated with Zhejiang Sci-Tech University, China, specializing in mechanical engineering, structural dynamics, and vibration analysis. With multiple peer-reviewed publications, Chen has contributed to advanced research in crack length prediction, degradation life modeling, and vibration reduction systems using both numerical and experimental approaches. His work focuses on enhancing the reliability and performance of engineering systems, particularly in marine and structural applications. Collaborating with a diverse group of researchers, Chen’s studies address critical challenges in predictive maintenance and system durability. His research holds strong societal and industrial relevance by supporting safer, more efficient mechanical systems and advancing modern engineering technologies.

View ORCID Profile

Featured Publications

Shunming Li | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Mr. Shunming Li | Engineering | Research Excellence Award

Professor | Nantong Institute of Technology | China

Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published  323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.

Citation Metrics (Scopus)

4,570
3,000
2,000
1,000
0

Citations

4,570

Documents

323

h-index

34

Citations

Documents

h-index

View Scopus Profile

Featured Publications

Georgi Ivanov | Engineering | Innovative Research Award

Published on by Global Scholar Awards

Dr. Georgi Ivanov | Engineering | Innovative Research Award

Technical University of Sofia | Bulgaria

Georgi Ivanov is a researcher at the Technical University of Sofia, Bulgaria, specializing in electrical engineering with a focus on power transformers, electromagnetic devices, and AI-assisted diagnostics. His research integrates neural networks, dissolved gas analysis (DGA), and advanced modeling techniques to assess insulation aging, operational reliability, and performance optimization of electrical equipment. Dr. Ivanov has authored 20 peer-reviewed publications, receiving 43 citations, with an h-index of 4, reflecting steady academic impact in applied power engineering research. His work demonstrates interdisciplinary collaboration between electrical engineering, materials science, and data-driven methods. Through contributions to transformer monitoring, cryogenic electromagnetic systems, and intelligent diagnostic frameworks, his research supports safer, more reliable, and energy-efficient power infrastructures, delivering tangible societal benefits in industrial reliability and sustainable energy systems.

Citation Metrics (Scopus)

43
30
20
10
0

Citations

43

Documents

20

h-index

4

Citations

Documents

h-index

View Google Scholar Profile
 View Scopus Profile

Featured Publications


Modeling of fluid flow cooling of high-speed rotational electrical devices

– Proc. 16th Conf. on Electrical Machines, Drives and Power Systems (ELMA), 2019 Cited By: 10


Fluid flow modeling in 3D printed CO₂ absorption air contactor

– Proc. 22nd Int. Symposium on Electrical Apparatus and Technologies (SIELA), 2022 Cited By: 4


Vibration and noise analysis of a coaxial magnetic gear

– Proc. II Int. Conf. on High Technology for Sustainable Development, 2019 Cited By: 4


Seismic analysis of high voltage bushing

– Proc. 20th Int. Symposium on Electrical Apparatus and Technologies, 2018 Cited By: 4

Esmael Adem Esleman | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Assist. Prof. Dr. Esmael Adem Esleman | Engineering | Best Researcher Award

Assistant Professor | Adama Science and Technology University | Ethiopia

Dr. Esmael Adem Esleman is a researcher at Adama Science and Technology University, Adama, Ethiopia, with expertise in computational science, artificial intelligence, and applied mathematics. His research focuses on the development of AI-driven optimization and search algorithms inspired by physical and thermodynamic principles, with particular emphasis on solving complex ordinary differential equations. He has authored eight peer-reviewed publications, receiving over forty citations, and has established an emerging research profile reflected in his growing academic impact. Dr. Esleman actively collaborates with national and international researchers in interdisciplinary areas bridging mathematics, computer science, and engineering. His work contributes to improved numerical modeling, efficient computational methods, and intelligent problem-solving frameworks with potential applications in science, engineering, and data-driven decision systems, supporting technological advancement and innovation-oriented research.

Citation Metrics (Scopus)

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30
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46

Documents

8

h-index

4

Citations

Documents

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View Scopus Profile
 View ORCID Profile

Featured Publications

Chengbiao Tong | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Mr. Chengbiao Tong | Engineering | Research Excellence Award

Professor | Hunan Agricultural University | China

Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.

Citation Metrics (Scopus)

40

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                          🟦Citations
       🟥Documents
     🟩h-index


View Scopus Profile
 View ORCID Profile

Featured Publications

Yong Xu | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Mr. Yong Xu | Engineering | Research Excellence Award

Associate Researcher | Aerospace Technology Institute of CARDC | China

Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.

Profile: ORCID

Featured Publications

1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI

2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251