Ling Li | Chemistry | Innovative Research Award

Innovative Research Award

Ling Li — Hubei University

Ling Li
Affiliation Hubei University
Country China
Scopus ID 59633060000
Documents 1913
Citations 2156
h-index 24
Subject Area Chemistry
Event World Top Scientist Awards

The Innovative Research Award is designed to acknowledge outstanding contributions in the field of chemistry and interdisciplinary scientific innovation. This recognition highlights individuals who demonstrate consistent academic productivity, impactful research outcomes, and the ability to translate theoretical findings into real-world applications. Ling Li, affiliated with Hubei University, has developed a notable academic profile characterized by sustained research activity and measurable influence within the scientific community. The award evaluation considers multiple performance indicators including publication volume, citation metrics, and research relevance across emerging domains [1].

Abstract

This article provides a comprehensive overview of Ling Li’s academic contributions within the field of chemistry, focusing on research innovation and measurable scientific impact. The study highlights advancements in catalytic systems, nanomaterials, and environmental remediation technologies that address critical global challenges. Emphasis is placed on the integration of interdisciplinary methodologies and the translation of laboratory findings into practical applications. The evaluation framework is supported by bibliometric indicators, including citation counts and publication outputs, demonstrating sustained research excellence [2].

Keywords

Photocatalysis, Metal-Organic Frameworks, Environmental Chemistry, Nanotechnology, Chemical Engineering, Research Innovation, Catalytic Degradation, Scientific Impact.

Introduction

Scientific innovation in chemistry plays a pivotal role in addressing environmental and biomedical challenges faced by modern society. Researchers working in advanced materials and catalysis contribute significantly to sustainable technological development. Ling Li’s research trajectory reflects these priorities, with a focus on developing efficient catalytic systems and nanostructured materials. The introduction of novel methodologies in photocatalysis and environmental remediation further underscores the importance of interdisciplinary collaboration in contemporary research environments [3].

Research Profile

The academic profile of Ling Li is characterized by a substantial body of work indexed in major scientific databases such as Scopus. The profile reflects a strong emphasis on collaborative research, interdisciplinary integration, and consistent publication output across peer-reviewed journals. Metrics such as citation count and h-index provide quantitative evidence of research influence and scholarly recognition. Additionally, the diversity of research topics indicates adaptability and engagement with evolving scientific challenges [1].

Research Contributions

Ling Li’s research contributions span multiple domains within chemistry, particularly focusing on catalytic degradation processes and nanomaterial applications. The development of metal-organic frameworks for pollutant removal represents a significant advancement in environmental chemistry. Furthermore, contributions to biomedical applications, including photothermal and chemodynamic therapies, highlight the translational potential of the research. These innovations demonstrate the integration of fundamental chemistry with applied scientific solutions, contributing to both academic knowledge and societal benefit [4].

Publications

The publication record includes articles in high-impact journals addressing topics such as photocatalytic degradation, nanoplatform-based cancer therapies, and advanced catalytic mechanisms. These works contribute to the growing body of literature on sustainable chemical technologies and innovative treatment methods. The diversity of publications reflects both theoretical exploration and experimental validation, ensuring a balanced research portfolio. Continued publication activity further reinforces the researcher’s commitment to advancing scientific understanding [5].

Research Impact

The impact of Ling Li’s research is evident through citation metrics, collaborative networks, and practical applications of developed technologies. The integration of nanotechnology with catalytic systems has resulted in improved efficiency in pollutant degradation and enhanced biomedical treatments. These outcomes demonstrate the real-world applicability of the research findings. The sustained citation growth indicates recognition by the global scientific community and reinforces the relevance of the research contributions [2].

Award Suitability

The Innovative Research Award criteria emphasize originality, impact, and interdisciplinary contribution, all of which are reflected in Ling Li’s academic record. The ability to address complex scientific problems through innovative methodologies highlights the researcher’s suitability for international recognition. Furthermore, the combination of theoretical insights and applied research outcomes aligns with the objectives of global scientific advancement. These attributes collectively support the nomination and evaluation for prestigious awards [3].

Conclusion

In conclusion, Ling Li’s research contributions represent a significant advancement in chemical sciences, particularly in catalysis and nanotechnology. The combination of high-quality publications, measurable research impact, and interdisciplinary collaboration demonstrates sustained academic excellence. The recognition through the Innovative Research Award further validates the importance of the contributions to the global scientific community. Continued research efforts are expected to further enhance the scope and impact of future work [1].

References

  1. Elsevier. (n.d.). Scopus author details: Ling Li, Author ID 59633060000. Scopus.https://www.scopus.com/authid/detail.uri?authorId=59633060000
  2. Li, L. (2026). Photo-Fenton reaction for tetracycline degradation.https://www.sciencedirect.com/science/article/pii/S0277538726000872
  3. Li, L. (2026). MOF activation for dye degradation.https://www.sciencedirect.com/science/article/abs/pii/S0925838826007097
  4. Li, L. (2026). Photothermal cancer therapy research.https://onlinelibrary.wiley.com/doi/10.1002/aoc.70510
  5. Li, L. (2026). Advanced nanomaterials in chemistry.https://www.sciencedirect.com/science/article/abs/pii/S0927776525007192

Mert Karahan | Electromagnetic | Best Researcher Award

Best Researcher Award

Mert Karahan
National Defence University

                          Mert Karahan
Affiliation National Defence University
Country Turkey
Scopus 57044421100
Documents 44
Citations 46
h-index 4
Subject Area Electromagnetic
Event World Top Scientist Awards
ORCID 0000-0003-2884-9623

The Best Researcher Award recognizes outstanding scholarly contributions in the field of electromagnetic engineering and related disciplines. Mert Karahan, an academic affiliated with the National Defence University, has been acknowledged for his research excellence, particularly in antenna design, frequency selective surfaces, and advanced communication systems [1].

Abstract

This article outlines the academic achievements of Mert Karahan and evaluates his suitability for the Best Researcher Award. His work spans electromagnetic engineering, satellite communication systems, and antenna technologies, demonstrating a consistent research trajectory with measurable scholarly output [1].

Keywords

Electromagnetic Engineering; Antenna Design; Frequency Selective Surfaces; Satellite Communications; Electronic Warfare; CubeSat Systems

Introduction

Academic awards serve as formal recognition of significant contributions to scientific advancement. The Best Researcher Award evaluates scholarly productivity, innovation, and impact across specialized domains. Mert Karahan’s research portfolio demonstrates a focus on applied electromagnetic systems and communication technologies relevant to both academic and defense sectors [1].

Research Profile

Mert Karahan is an Assistant Professor specializing in electronics and communication engineering. His academic background includes degrees in electrical and electronics engineering, supported by research in antenna systems, propagation, and electronic warfare technologies. His work integrates theoretical modeling with applied engineering practices [1].

Research Contributions

  • Development of frequency selective surfaces for communication systems
  • Design of wideband and reconfigurable antennas
  • Applications of deep learning in electronic warfare
  • Satellite communication innovations using CubeSat technologies

Publications

Mert Karahan has contributed to the field of electromagnetic engineering through a series of peer-reviewed journal articles and conference papers that emphasize antenna design, frequency selective surfaces, and advanced communication systems. His recent publications include a high-efficiency wideband reflectarray developed for CubeSat deep-space communications, as well as research on deep learning approaches for emitter identification in electronic warfare environments. Additional studies address GaN-based MMIC high-power amplifiers and compact frequency selective surface designs for wireless communication applications. Collectively, these works reflect a consistent focus on integrating theoretical electromagnetic analysis with practical engineering solutions, contributing to both academic literature and applied technological development [1].

Research Impact

Karahan’s research has contributed to advancements in communication systems and electromagnetic design methodologies. His publications demonstrate cross-disciplinary integration, combining engineering, signal processing, and computational techniques. The citation metrics reflect a growing influence in specialized engineering domains [1].

Award Suitability

The Best Researcher Award criteria emphasize originality, measurable impact, and sustained academic contribution. Mert Karahan’s profile aligns with these criteria through consistent publication output, specialized expertise, and applied research outcomes in electromagnetic engineering and communication systems.

Conclusion

Mert Karahan represents a developing academic profile within electromagnetic engineering, with research contributions spanning theoretical and applied domains. His work supports his candidacy for recognition through the Best Researcher Award.

References

  1. ORCID. (n.d.). Research profile of Mert Karahan (0000-0003-2884-9623).
    https://orcid.org/0000-0003-2884-9623

Innocent Appiah | Computer Science | Excellence in Research Award

Excellence in Research Award

Innocent Appiah
Hubei University of Automotive Technology

Innocent Appiah
Affiliation Hubei University of Automotive Technology
Country China
Google Scholar Profile
Documents 1
Citations 3
h-index 1
Subject Area Computer Science
Event World Top Scientist Awards
ORCID 0009-0006-7351-7950

The Excellence in Research Award recognizes the scholarly contributions of Innocent Appiah, a researcher affiliated with the Hubei University of Automotive Technology in China. His work is primarily situated within the field of computer science, with particular emphasis on intelligent systems and automotive technologies. His academic profile reflects early-stage but promising research contributions, including peer-reviewed publication activity and measurable citation impact [1].

Abstract

This article presents an overview of the academic contributions and recognition of Innocent Appiah. It highlights his research focus, publication record, and scholarly impact within the domain of computer science. The discussion contextualizes his work within contemporary research trends and evaluates his eligibility for international academic recognition programs.

Keywords

Computer Science; Intelligent Systems; 3D Object Detection; Automotive Technology; Research Impact; Academic Recognition

Introduction

Academic recognition awards serve as indicators of scholarly contribution and emerging influence within scientific disciplines. Innocent Appiah represents an early-career researcher whose work contributes to advancements in intelligent vehicle systems and computational perception. His inclusion in academic databases and citation indices demonstrates growing visibility within the research community [1].

Research Profile

Innocent Appiah is affiliated with the Hubei University of Automotive Technology, where he is engaged in studies related to intelligent connected vehicles. His academic activities include research, publication, and collaboration in areas involving machine perception and object detection technologies [2].

Research Contributions

Appiah’s primary contribution lies in the domain of 3D object detection, a critical component of autonomous and intelligent vehicle systems. His research synthesizes methodologies and advancements in detection algorithms, contributing to the broader understanding of computational vision frameworks used in modern automotive technologies [2].

Publications

Research Impact

Despite a limited number of publications, Appiah’s work has begun to receive citations, indicating early engagement with the research community. Citation metrics, including an h-index of 1, reflect foundational academic influence and potential for future scholarly growth [1].

Award Suitability

The Excellence in Research Award acknowledges emerging scholars demonstrating research promise and academic integrity. Appiah’s contributions to computer science, particularly in intelligent systems, align with the criteria for such recognition. His research trajectory suggests continued advancement and increased scholarly output.

Conclusion

Innocent Appiah represents a developing academic profile within the global research community. His work contributes to evolving fields in computer science and automotive technology, and his recognition through research awards underscores the importance of supporting early-career researchers in advancing scientific knowledge.

References

  1. Google. (n.d.). Google Scholar author profile: Innocent Appiah, Profile ID uzNZtYQAAAAJ. Google Scholar.

    https://scholar.google.co.uk/citations?user=uzNZtYQAAAAJ&hl=en&oi=sra
  2. ORCID. (2026). Innocent Appiah ORCID Profile.

    https://orcid.org/0009-0006-7351-7950
  3. Wu, W., Appiah, I., & Hu, R. (2025). Advancements in 3-D object detection: A comprehensive review. Journal of King Saud University Computer and Information Sciences.

    https://doi.org/10.1007/s44443-025-00213-0

Vassilios S. Verykios | Computer Science | Research Excellence Award

Prof. Vassilios S. Verykios | Computer Science | Research Excellence Award

Hellenic Open University | Greece

Prof. Vassilios S. Verykios is a distinguished academic serving as a professor in the field of data science and information systems, with expertise in privacy-preserving data mining, data management, and knowledge discovery. He holds advanced degrees in computer science with specialization in data-centric technologies and has built a strong professional career through academic leadership, research supervision, and participation in collaborative scientific projects. His research focuses on secure data analytics, big data processing, and intelligent information systems, resulting in a substantial body of highly cited publications and impactful scholarly contributions. He has demonstrated leadership through editorial responsibilities, conference organization, and active engagement in international research communities. His work reflects sustained innovation and interdisciplinary relevance, contributing significantly to both theoretical advancements and applied solutions. Recognized for his scholarly excellence, he has received multiple honors and maintains active membership in professional organizations, reinforcing his standing as a leading contributor to advancing research and innovation in data science.

Citation Metrics (Google Scholar)

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Top 5 Featured Publications

 


Duplicate Record Detection: A Survey


– IEEE Transactions on Knowledge and Data Engineering


Association Rule Hiding


– IEEE Transactions on Knowledge and Data Engineering


Disclosure Limitation of Sensitive Rules


– KDEX Workshop Proceedings

Fabrizio Mastrorocco | Metabolomica | Best Researcher Award

Dr. Fabrizio Mastrorocco | Metabolomica | Best Researcher Award

Institute of Biomembranes | Italy

Dr. Fabrizio Mastrorocco is a researcher affiliated with CNR–IBIOM, specializing in biomolecular science and computational research, with a strong academic foundation in advanced scientific disciplines and specialized training in data-driven biological analysis. He has built significant professional experience through active involvement in interdisciplinary research projects, contributing to collaborative initiatives and demonstrating leadership in scientific problem-solving and knowledge dissemination. His research focuses on biomolecular mechanisms, computational modeling, and integrative approaches that bridge biology and technology, resulting in impactful publications and contributions to advancing scientific understanding. He has also engaged in scholarly activities such as peer review, editorial contributions, and participation in research networks, reflecting his commitment to academic excellence. His achievements are recognized through research-based awards, professional memberships, and certifications that highlight his influence and dedication within the scientific community, making him a strong candidate for recognition in research excellence.

Citation Metrics (Google Scholar)

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Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

Mr. Muhammad Hussain Ghazali | Food Science and Engineering | Young Researcher Award

South China University of Technology | China

Mr. Muhammad Hussain Ghazali is a doctoral researcher in Food Science and Engineering, recognized for pioneering contributions in meat science, nonthermal preservation technologies, and biobased packaging, with a particular distinction for advancing camel meat research in Pakistan. He holds a Doctor of Veterinary Medicine, an M.Phil. in Meat Science and Technology, and is pursuing a Ph.D. with a specialization in cold plasma–integrated bio-based packaging systems for meat quality and safety monitoring. His professional experience spans research, editorial service, mentoring, and scientific reviewing, including active peer-review contributions for leading international journals and verified reviewer status through global academic platforms. His research focuses on meat quality evaluation, cold plasma applications, sustainable packaging, analytical characterization techniques, and emerging omics-based food quality assessment, supported by competence in advanced data analysis tools. He has contributed to the scientific community through publications, collaborative projects, and active engagement in international research networks across multiple regions. His recognitions include editorial and reviewer certifications, distinctions for peer-review excellence, and involvement with reputable scientific bodies. Demonstrating strong analytical capacity, leadership potential, and a global research outlook, he continues to build a growing academic profile that reflects innovation, scientific rigor, and commitment to advancing food safety and engineering research.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Ghazali, M. H., Bakhsh, M., Zainab, U., Faraz, A., Munir, M. U., Channo, A., … (2023). Camel meat production, consumption and nutritive value: Present status and future prospects. International Journal of Camel Science, 5, 123–136.

2. Bakhsh, M., Ghazali, M. H., Yar, M. K., Channo, A., Kashif, M., Ijaz, M., … (2023). The role of fish in global food and nutrition security: Current aspects and future prospects. University of Sindh Journal of Animal Sciences, 7(4), 23–35.

3. Ghazali, M. H., Keener, K. M., Pan, Y., Zou, S., … (2025). Cold plasma-integrated bio-based packaging for meat quality and safety monitoring: A mini review. Food Wellness, 1(1), 100004.

4. Muhammad Hussain Ghazali, L. B., & Saleem, F. (2025). Cold plasma and high-pressure processing in sustainable meat preservation: A review. Food, Nutrition, and Health, 2(22), 1–14.

5. Shah, S. H. R., Qamar, M. H., Ghazali, M. H., Ali, S., Bilal, M., Fawad, A., Khalil, H. U. R., … (2024). New insights in uterine involution and ovarian resumption in domestic animals. Acta Scientific Veterinary Sciences, 6(6).

Mr. Muhammad Hussain Ghazali’s research advances innovative, sustainable approaches to meat safety and quality, contributing to global food security through nonthermal preservation and biobased packaging technologies. His work supports industry transformation by promoting safer, eco-friendly processing solutions and expanding scientific understanding of underexplored meat resources.

William Ben Gunawan | Management and Accounting | Best Researcher Award

Mr. William Ben Gunawan | Management and Accounting | Best Researcher Award

William Ben Gunawan | PPM School of Management | Indonesia

Mr. William Ben Gunawan, S.Gz, M.M, CFTR, is an emerging scholar and professional in management, finance, and business analysis, currently affiliated with INTI International University and Yayasan PPM in Jakarta, Indonesia. With a background in nutrition and a strong academic foundation in management and business administration, he combines analytical precision with strategic insight. He holds degrees in Accounting, Management, and Business Administration from Asia Cyber University, PPM School of Management, and INTI International University, achieving outstanding academic performance. Professionally, he has served as a Cash Management and Financing Intern at PT Pertamina Gas and as a Marketing Analyst Staff at Yayasan PPM, where he contributed to financial verification, strategic planning, and brand positioning projects. His research focuses on finance, investment, sustainability, and business strategy, with multiple publications in reputable journals covering topics such as capital structure, artificial intelligence, sustainable business practices, and financial performance analysis. Recognized for his scholarly excellence, he has received numerous national and international awards, including Best Paper and Best Presenter distinctions across academic conferences. He is also a recipient of the International Postgraduate 100% Scholarship and The Future Leader Award. Holding certifications such as Certified Fundamental Tax Reporting (CFTR), Registered Technical Analyst (RTA), and Green Digital Talent, Mr. Gunawan exemplifies intellectual rigor, leadership, and dedication to advancing sustainable and data-driven business practices.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Gunawan, W. B. (2025). The interlink between capital structure, sales growth, and sustainable growth rate: Comparative insights from IDX Growth and IDX Sharia Growth. Klabat Accounting Review, 6(2), 81–93.

2. Gunawan, W. B., & Tobing, A. C. I. L. (2025). Strategic digital transformation of Agradaya: A case study in Indonesian agriculture. Indonesian Journal of Public Management, 1(1).

3. Abadi, M. N. P., Basrowi, R. W., Gunawan, W. B., Arasy, M. P., Nurjihan, F., et al. (2025). Unraveling future trends in free school lunch and nutrition: Global insights for Indonesia from bibliometric approach and critical review. Nutrients, 17(17), 2777.

4. Gunawan, W. B. (2025). Cost of capital revisited: Trends and insights via bibliometric analysis and literature review. Klabat Journal of Management, 6(2), 135–150.

5. Gunawan, W. B. (2025). Elucidating Indonesia’s palm oil supply chain trends: A bibliometric approach. Journal of Sustainability, Society, and Eco-Welfare, 3(1), 1–20.*

Mr. Gunawan advances evidence-based, sustainable business practices by integrating financial analysis, strategic management, and data-driven insights. His work supports more resilient industries and informs policy and organizational decisions across Indonesia and beyond.

Huan Zhang | Econometrics and Finance | Best Researcher Award

Ms. Huan Zhang | Econometrics and Finance | Best Researcher Award

Associate Professor | Guangdong Ocean University | China

Ms. Huan Zhang is an accomplished associate professor specializing in tourism, cultural creativity, and communication studies. She has a strong academic background, holding advanced degrees in economics and labor studies, and is completing her doctoral studies in tourism and hospitality management. Over her career, she has led multiple research projects at national, provincial, and university levels, demonstrating leadership and an ability to translate research into practical impact. Her work has been recognized both academically and publicly, with reports adopted by local authorities and online courses featured on national platforms. She has published a monograph and several papers in SSCI, CSSCI, and core journals, reflecting a consistent research trajectory. Ms. Zhang also excels in mentoring students, guiding them to achieve national and provincial awards. According to Scopus, her measurable research impact includes 3 documents, 3 citations, and an h-index of 1, showcasing her growing influence in her field, with total citations at 33.

Profiles: Scopus | ORCID

Featured Publications

1. Mei, D., & Zhang, H. (2025). Impact of global tensions on commodity futures from a geopolitical risk perspective. Finance Research Letters. https://doi.org/10.1016/j.frl.2025.108605

2. Khalil, M. L., Abd Aziz, N., Long, F., & Zhang, H. (2023). What factors affect firm performance in the hotel industry post-Covid-19 pandemic? Examining the impacts of big data analytics capability, organizational agility and innovation. Journal of Open Innovation: Technology, Market, and Complexity. https://doi.org/10.1016/j.joitmc.2023.100081

Liana Mogilnikova | Materials Science | Best Researcher Award

Mrs. Liana Mogilnikova | Materials Science | Best Researcher Award

Liana Mogilnikova  | MISIS | Russia

Mrs. Liana Mogilnikova is a dedicated and accomplished researcher specializing in the study of hexagonal ferrites and magnetically hard materials. Her research focuses on understanding phase transformations and crystal structures, contributing valuable insights into the synthesis and characterization of strontium hexaferrite. Through meticulous experimentation and analytical precision, she has developed a comprehensive methodology for investigating the structural and phase states of ferrite materials. Her scholarly contributions, reflected in publications in reputed journals, demonstrate her commitment to advancing material science and magnetic materials research. With strong skills in data analysis, academic writing, and conference presentation, she effectively communicates complex scientific findings to the research community. Her work not only deepens the understanding of ferrite synthesis mechanisms but also lays the foundation for future innovations in nanostructured and energy-efficient magnetic materials, establishing her as a promising and impactful researcher in her field.

Profiles: Scopus | ORCID

Featured Publications

1. Mogilnikova, L. D., Menushenkov, V. P., Mogilnikov, P. S., & Savchenko, A. G. (2025). Phase transformations in the synthesis process of strontium hexaferrite SrFe₁₂O₁₉ by the sol-gel method. Journal of Alloys and Compounds, 1042, 183995.

Qian Qiao | Materials Science | Best Researcher Award 

Dr. Qian Qiao | Materials Science | Best Researcher Award 

R&D Manager | IDQ Science and Technology (Hengqin Guangdong) Co | China

Dr. Qian Qiao is a dedicated researcher specializing in electromechanical and mechanical engineering, with extensive experience in materials science, surface technology, and smart manufacturing. She has authored numerous papers in reputable international journals and holds multiple patents that highlight her innovative approach to engineering challenges. Her academic achievements, including several prestigious scholarships and awards, reflect consistent excellence and commitment to research advancement. Dr. Qian has actively participated in global academic conferences, contributing to the dissemination and exchange of cutting-edge knowledge. Her current research focuses on the structural and performance analysis of advanced manufacturing components, integrating intelligent systems and automation to enhance efficiency and reliability. With a strong foundation in both theoretical and applied research, she demonstrates outstanding potential for leading future developments in material innovation, corrosion science, and intelligent engineering solutions, contributing meaningfully to technological progress and industrial transformation.

Profiles: Google Scholar | ScopusORCID 

Featured Publications

1. Qiao, Q., Qian, H., Li, Z., Guo, D., Kwok, C. T., Jiang, S., Zhang, D., & Tam, L. M. (2025). Microstructure evolution and mechanical performance of AA6061-7075 heterogeneous composite fabricated via additive friction stir deposition. Alloys, 4(4), 21.

2. Lam, W. I., Leong, K. K., Tam, C. W., Qiao, Q., Lin, Y., Yang, G., Guo, D., & Kwok, C. T. (2025). A high performance mechanically alloyed stainless steel composite coating via friction surfacing. Surface and Coatings Technology, 132685.

3. Qiao, Q., Gong, X., Guo, D., Qian, H., Li, Z., Zhang, D., Kwok, C., & Tam, L. M. (2025). Influence of tool head geometry on in situ monitoring of temperature, force, and torque during additive friction deposition of aluminum alloy 2219. Materials Science in Additive Manufacturing, 4(4), 025280060.

4. Qiao, Q., Tam, C. W., Lam, W. I., Wang, K., Guo, D., Kwok, C. T., Lin, Y., Yang, G., & Zhang, D. (2025). Hybrid heat-source solid-state additive manufacturing: A method to fabricate high performance AA6061 deposition. Journal of Materials Science & Technology, 228, 107–124.

5. Wu, Z., Qian, H., Chang, W., Zhu, Z., Lin, Y., Qiao, Q., Guo, D., Zhang, D., & Kwok, C. T. (2025). Enhanced corrosion resistance by Pseudomonas aeruginosa on 2219 aluminum alloy manufactured through additive friction stir deposition. Acta Metallurgica Sinica (English Letters), 1–18.