Zhaozhen Jiang | Computer Science | Best Research Article Award

Dr. Zhaozhen Jiang | Computer Science | Best Research Article Award

Assistant Researcher | Naval Submarine Academy | China

Dr. Zhaozhen Jiang is a distinguished researcher at the Navy Submarine Academy in Qingdao, China, specializing in intelligent systems, maritime navigation, and dynamic target search. His research focuses on the development of advanced path-planning algorithms and neural network–based optimization techniques for complex maritime environments. He has published extensively and collaborated widely with researchers across multiple disciplines, reflecting a strong commitment to interdisciplinary innovation. His recent work on GBNN-based maritime dynamic target search demonstrates a focus on enhancing operational decision-making and situational awareness in challenging naval contexts. Through his research, he aims to advance autonomous maritime systems and contribute to safer, more efficient naval operations, while fostering technological progress with meaningful societal impact.

Citation Metrics (Scopus)

40
30
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Citations

37

Documents

15

h-index

4

Citations

Documents

h-index

View Scopus Profile

Featured Publications

Sarbajit Paul Bappy | Computer Science | Research Excellence Award

Mr. Sarbajit Paul Bappy | Computer Science | Research Excellence Award

Teaching Assistant | Daffodil International University | Bangladesh

Sarbajit Paul Bappy is an emerging researcher in computer science with a growing focus on applied machine learning, medical image analysis, and agricultural informatics. He is currently serving as a Teaching Assistant in the Department of Computer Science and Engineering at Daffodil International University, Bangladesh, where he has been contributing to academic instruction and research support since 2025. Alongside his professional role, he is pursuing his undergraduate degree in Computer Science and Engineering at the same institution, demonstrating a strong integration of academic excellence and early-career research productivity. His scholarly work includes peer-reviewed publications and openly accessible datasets that address critical challenges in healthcare diagnostics and smart agriculture. Notably, he co-authored SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images (MAKE, 2025), which combines deep learning with explainable AI techniques to enhance early disease detection. He also contributed significantly to the dataset Jackfruit AgroVision, a comprehensive benchmark for disease detection in jackfruit and its leaves, supporting advancements in precision agriculture and food-security research. His collaborations span multidisciplinary teams involving experts such as Amir Sohel, Rittik Chandra Das Turjy, Md Assaduzzaman, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj, illustrating his ability to contribute within diverse international research groups. Through his ongoing work in AI-driven health diagnostics, dataset development, and sustainable agricultural technology, Bappy aims to advance research that supports societal well-being, improves disease detection accuracy, and contributes to innovation within global machine learning communities.

Profiles: Google Scholar | ORCID | LinkedIn

Featured Publications

1. Sohel, A., Turjy, R. C. D., Bappy, S. P., Assaduzzaman, M., Marouf, A. A., Rokne, J. G., & Alhajj, R. (2025). SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction, 7(4), 157. https://doi.org/10.3390/make7040157  MDPI+1

2. Sohel, A., Bijoy, M. H. I., Turjy, R. C. D., & Bappy, S. P. (2025). Jackfruit AgroVision: A Extensive Dataset for Jackfruit Disease and Leaf Disease Detection using Machine Learning. Mendeley Data. https://doi.org/10.17632/pt647jfn52.1

Pengyun Xu | Surface Engineering | Best Researcher Award

Assoc. Prof. Dr. Pengyun Xu | Surface Engineering | Best Researcher Award

Associate Professor | Ocean University of China | China

Assoc. Prof. Dr. Pengyun Xu is an accomplished researcher and academic leader in the field of thermal spray technologies, functional coatings, and micro/nanostructured surfaces, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. He obtained his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, Canada, in 2019, under the mentorship of the renowned Prof. Javad Mostaghimi, focusing on the deposition of superhydrophobic rare earth oxide coatings via solution precursor plasma spray processes. Dr. Xu previously worked as a Postdoctoral Fellow at the University of Toronto (2019–2021), where he investigated columnar-structured thermal barrier coatings, pseudocapacitor electrodes, and graphene synthesis. His current research centers on liquid feedstock plasma spray processes, underwater drag-reduction coatings, superhydrophobic and thermal barrier coatings, and the modeling of micro/nanoscale behaviors in plasma jets, integrating experimental and computational approaches. Dr. Xu’s research skills span materials synthesis, advanced plasma spray technologies, surface morphology control, and functional property characterization, complemented by strong expertise in cross-disciplinary project management. He has published extensively, with over 15 first- or corresponding-author papers in high-impact journals such as Journal of Advanced Ceramics, Surface & Coatings Technology, and Journal of Colloid and Interface Science, and has authored a book chapter with Elsevier. Dr. Xu has led several national and provincial-level research projects and collaborated internationally through NSERC-funded programs in Canada. He serves as a guest editor, editorial board member, and best paper award judge for international conferences and journals. His awards and honors include multiple grants from the Shandong Provincial Natural Science Foundation and the China Postdoctoral Science Foundation, reflecting his innovative contributions to advanced coating technologies. In conclusion, Dr. Xu exemplifies scientific excellence, leadership, and innovation in materials engineering, with his research advancing sustainable surface technologies and his growing influence promising significant international impact in the field of functional coatings and surface science. 895 Citations | 33 Documents | 15 h-index .

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Wei, Z. Y., Meng, G. H., Chen, L., Li, G. R., Liu, M. J., Zhang, W. X., Zhao, L. N., Zhang, Q., Xu, P., … (2022). Progress in ceramic materials and structure design toward advanced thermal barrier coatings. Journal of Advanced Ceramics, 11(7), 985–1068. Cited by: 335

  2. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Superhydrophobic ceramic coating: Fabrication by solution precursor plasma spray and investigation of wetting behavior. Journal of Colloid and Interface Science, 523, 35–44. Cited by: 70

  3. Meng, G. H., Liu, H., Xu, P. Y., Li, G. R., Xu, T., Yang, G. J., & Li, C. J. (2020). Superior oxidation resistant MCrAlY bond coats prepared by controlled atmosphere heat treatment. Corrosion Science, 170, 108653. Cited by: 69

  4. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Fabrication of micro-/nano-structured superhydrophobic ceramic coating with reversible wettability via a novel solution precursor vacuum plasma spray process. Materials & Design, 160, 974–984. Cited by: 53

  5. Yi, P., Zhan, X., He, Q., Liu, Y., Xu, P., Xiao, P., & Jia, D. (2019). Influence of laser parameters on graphite morphology in the bonding zone and process optimization in gray cast iron laser cladding. Optics & Laser Technology, 109, 480–487. Cited by: 51

Hwasun Park | Engineering | Best Researcher Award

Prof. Hwasun Park | Engineering | Best Researcher Award

 An Industry-Academic Professor | Sungkyunkwan University | South Korea 

Prof. Hwasun Park is an Industry-Academic Professor at the School of Advanced Materials Science and Engineering, Sungkyunkwan University (SKKU), South Korea, where he leads cutting-edge research in semiconductor packaging and advanced materials processing. He earned his Ph.D. in Materials Science and Engineering from Sungkyunkwan University, building a strong foundation in thin-film and electronic materials that bridge academic innovation and industrial application. Prior to his current academic appointment, Prof. Park accumulated extensive professional experience at the Samsung Electro-Mechanics Central Research Institute, where he led several R&D initiatives in packaging materials and process development, and at the CUOS Center, University of Michigan, enhancing his global collaboration and research insight. His primary research interests include microbump materials and processes, embedded printed circuit boards (PCBs) for semiconductor integration, thin-film technologies for high-frequency applications, anisotropic etching mechanisms using electrostatic phenomena, and optical packaging technologies for 2.5D data-center systems. Prof. Park’s research skills encompass semiconductor process optimization, materials characterization, high-frequency electrical analysis, and integration of optical and electronic components. He has published influential work in IEEE and Scopus-indexed journals, contributing to both the academic and industrial advancement of semiconductor technology. His dedication to innovation and collaboration has earned him recognition for excellence in research and technology transfer, fostering productive ties between academia and industry. Prof. Park actively mentors students, participates in joint research programs, and holds memberships in leading professional organizations such as IEEE and materials-science societies. In conclusion, Prof. Hwasun Park exemplifies a scholar-engineer who bridges theory and practice; his pioneering work in semiconductor materials, international collaborations, and commitment to nurturing future scientists position him as a leader driving technological innovation and sustainable growth in the global semiconductor field. 5 Citations | 1 Document | 1 h-index

Profiles: Scopus | ResearchGate

Featured Publications

  • Oh, P. C., Koh, K. K., Kim, J. H., Kim, S. J., & Park, H. (2014). Life-threatening severe hyperkalemia presenting typical electrocardiographic changes—Rapid recovery following medical, temporary pacing, and hemodialysis treatments. November 2014. Citations: 5

Chengjie Yang | Business, Management and Accounting | Best Researcher Award

Dr. Chengjie Yang | Business, Management and Accounting | Best Researcher Award

Student at China University of Petroleum East China – Qingdao Campus, China

Dr. Chengjie Yang is a distinguished researcher with a robust academic foundation, holding a Bachelor’s degree in Accounting from the China University of Petroleum (East China), a Master’s in International Trade and Finance from Becket University, UK, and a Ph.D. in Management Science and Engineering from the China University of Petroleum. Currently a lecturer at Qingdao Huanghai University, he has also served as Vice Minister of the Risk Department at Shandong Xintai Rural Commercial Bank. Dr. Yang has published extensively in finance and management, including high-impact articles on inclusive finance, cross-border e-commerce, and digital financial sequence analysis using advanced algorithms, with notable recognition in Finance Research Letters. His expertise extends to econometrics, financial forecasting, and asset management. With multiple national awards, certifications in finance, and advanced technical proficiency, Dr. Yang combines academic excellence with practical insights, positioning him as a leader in financial research and education.

Professional Profile 

Education

Dr. Chengjie Yang possesses a comprehensive and multidisciplinary educational background that underpins his expertise in finance and management. He earned his Bachelor’s degree in Accounting from the China University of Petroleum (East China), where he demonstrated exceptional academic performance, earning the title of “Outstanding Graduate.” He further pursued a Master’s degree in International Trade and Finance at Becket University in Leeds, UK, gaining global exposure and deepening his understanding of international financial systems. To advance his academic journey, Dr. Yang completed his Ph.D. in Management Science and Engineering at the China University of Petroleum, focusing on innovative approaches to finance and management. Throughout his studies, he excelled in courses such as Financial Accounting, Econometrics, International Trade, and International Financial Management, building a strong theoretical and practical foundation. His education reflects a commitment to lifelong learning and an ability to integrate diverse disciplines into his research and professional endeavors.

Professional Experience

Dr. Chengjie Yang has a rich and diverse professional background that bridges academia and the financial industry. He currently serves as a lecturer at Qingdao Huanghai University, where he imparts knowledge in finance, management, and related disciplines, fostering the next generation of professionals and researchers. Previously, he held the role of Vice Minister of the Risk Department at Shandong Xintai Rural Commercial Bank, where he gained extensive experience in risk management, financial analysis, and strategic decision-making. This dual exposure to academic and practical environments has equipped Dr. Yang with a unique perspective, enabling him to translate complex theoretical concepts into real-world applications. His expertise spans areas such as inclusive finance, digital financial forecasting, and enterprise earnings management, which he has explored through various high-impact research publications. Dr. Yang’s professional journey exemplifies his ability to combine scholarly achievements with practical financial insights, enhancing his contributions to both fields.

Research Interest

Dr. Chengjie Yang’s research interests lie at the intersection of finance, management science, and digital innovation. He is deeply engaged in exploring inclusive finance, digital financial forecasting, and cross-border e-commerce, with a particular focus on leveraging advanced algorithms like LSTM for sequence analysis. Dr. Yang’s work also delves into the dynamics of real estate and construction economics, asset injection, and enterprise earnings management, reflecting his commitment to addressing contemporary challenges in financial systems. His research emphasizes the practical application of econometric models and digital tools to optimize financial decision-making and risk management. With a strong focus on the integration of technology in financial systems, he seeks to contribute to the evolution of sustainable and efficient financial practices. Through his studies, Dr. Yang aims to bridge theoretical frameworks with real-world applications, fostering innovation and resilience in the rapidly evolving financial and economic landscape.

Award and Honor

Dr. Chengjie Yang has been recognized for his outstanding academic and professional achievements through various awards and honors. As a testament to his academic excellence, he was conferred the prestigious title of “Outstanding Graduate” by the China University of Petroleum (East China) during his undergraduate studies. His research contributions have also earned him accolades, including a national award in 2022 for his insightful analysis of the real estate economy and construction economics. These honors highlight his dedication to addressing critical issues in finance and management science. Additionally, his participation in prestigious scientific research competitions and publication of high-impact articles have further solidified his reputation as a leading scholar. Dr. Yang’s awards not only underscore his intellectual rigor but also reflect his commitment to innovation and excellence, making him a prominent figure in the fields of finance and management research.

Conclusion

Chengjie Yang is a well-rounded researcher with significant accomplishments in finance and management science. His robust educational background, impressive research output, technical skills, and professional experience make him a strong candidate for the Best Researcher Award. While focusing on specialized research themes and expanding international collaborations could elevate his profile, his current achievements already demonstrate remarkable potential and expertise.

Publications Top Noted

  • Title: Asset injection and enterprise earnings management
    Authors: Tan, Y., Yang, C., Qian, K., Jiang, C.
    Year: 2024
    Citations: 0
  • Title: Research on Digital Financial Sequence Analysis and Forecasting Based on LSTM Algorithm Optimization
    Authors: Yang, C.
    Year: 2023
    Citations: 0

Adem Pinar | Decision Sciences | Academic and Industrial Synergy Award

Assist Prof Dr. Adem Pinar | Decision Sciences | Academic and Industrial Synergy Award

Faculty member at the School of Business at Shenandoah University, Winchester, VA, United States

Adem Pinar is a distinguished academic and logistics expert currently serving at the School of Business, Shenandoah University, Virginia. With a diverse background that includes military logistics and academia, he brings over 20 years of experience to his roles. Adem’s journey began in Turkey, where he excelled in logistics and supply chain management. He has since transitioned to teaching and research, focusing on performance evaluation and decision-making methodologies within supply chain contexts. His multidisciplinary approach combines theoretical knowledge with practical insights gained from extensive experience in military logistics and NATO operations. Adem is committed to fostering innovation in logistics education, bridging the gap between academic theories and real-world applications, making him a valuable asset to both the academic community and the industry.

Professional Profile

Education

Adem Pinar holds an impressive academic background, beginning with a Bachelor’s in Systems Engineering from the Turkish War Academy. He furthered his studies, obtaining a Master’s in International Relations from Trakya University and a Master’s in Information Systems from the Middle East Technical University, ranked highly in Turkey. His academic journey culminated in a Ph.D. in Supply and Logistics Management from Gazi University, where his dissertation focused on evaluating supplier performance using advanced fuzzy set methodologies. Adem’s diverse educational credentials provide a robust foundation for his current research and teaching, equipping him with both technical expertise and a comprehensive understanding of international security and strategic planning. This solid educational background has enabled him to effectively blend academic rigor with practical insights in his current roles.

Professional Experience

Adem Pinar’s professional experience spans both military and academic environments, showcasing his expertise in logistics and supply chain management. He served as a Senior Logistics Officer for the Turkish Armed Forces, where he played a pivotal role in strategic logistics planning for cross-border operations. His experience with NATO further enhanced his logistics expertise, culminating in his role as a member of the NATO Logistics Committee Executive Group. In academia, Adem has held positions at multiple institutions, including Siena College and the University of Turkish Aeronautical Association, teaching various undergraduate and graduate courses in logistics and operations management. Currently, he is an Assistant Professor at Shenandoah University, where he continues to engage students while conducting impactful research. This combination of military and academic experience allows Adem to provide a unique perspective on supply chain challenges, making him a sought-after expert in his field.

Research Interests

Adem Pinar’s research interests lie primarily in supply chain management, logistics, and decision-making methodologies. He specializes in the application of fuzzy set theory to complex decision-making problems, particularly in the context of supplier selection and performance evaluation. His work employs advanced techniques such as q-rung orthopair fuzzy sets to address uncertainty and enhance decision-making processes. Additionally, Adem explores topics related to cybersecurity in supply chains, aiming to optimize operational resilience and mitigate risks in logistics systems. His commitment to applied research is evident through his numerous publications in peer-reviewed journals, where he addresses both theoretical frameworks and practical applications. By integrating academic research with industry needs, Adem aims to develop innovative solutions that enhance supply chain efficiency and sustainability.

Awards and Honors

Throughout his career, Adem Pinar has received numerous awards and honors in recognition of his exemplary service and contributions to the field of logistics. His military tenure earned him over 40 honors from NATO and the Turkish Armed Forces, including the prestigious medal for Logistic and Administrative Service from the Deputy General Chief of Staff. In academia, Adem has been acknowledged for his impactful research, evidenced by his extensive publication record and citations. His work has significantly influenced decision-making processes in logistics and supply chain management, showcasing his commitment to advancing the field. Adem’s dedication to education and mentorship has also been recognized through various awards, highlighting his role in shaping future professionals in logistics. These accolades reflect his expertise and commitment to excellence, further solidifying his reputation as a leading figure in logistics and supply chain research.

Conclusion

Adem Pinar exhibits a strong profile that aligns well with the criteria for the Research for Academic and Industrial Synergy Award. His robust academic qualifications, extensive research output, and practical experience in logistics provide a solid foundation for impactful contributions to both academia and industry. By enhancing interdisciplinary collaboration and increasing the practical application of his research, Adem could further strengthen his candidacy for this award. Overall, he demonstrates significant potential for fostering valuable academic-industrial partnerships.

Publication top noted

  • 📝 Article
    Author(s): Kasimoglu, F., Bayeg, S., Pinar, A., Utku, D.H.
    Year: 2024
    Title: A trapezoidal intuitionistic fuzzy optimization approach for crashing a budget constrained project
    Citations: 1
  • 📝 Article (in Press)
    Author(s): Pinar, A.
    Year: 2023
    Title: An integrated sentiment analysis and q-rung orthopair fuzzy MCDM model for supplier selection in E-commerce: a comprehensive approach
    Citations: 1
  • 📝 Article
    Author(s): Pinar, A., Boran, F.E.
    Year: 2022
    Title: A novel distance measure on q-rung picture fuzzy sets and its application to decision making and classification problems
    Citations: 28
  • 📚 Book Chapter
    Author(s): Pinar, A., Boran, F.E.
    Year: 2022
    Title: 3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method
    Citations: 2
  • 📚 Book Chapter
    Author(s): Pinar, A.
    Year: 2022
    Title: Supplier Evaluation with Q-Rung Orthopair Fuzzy-Based COPRAS Method
    Citations: 0
  • 📝 Article
    Author(s): Pinar, A., Erdebilli, B.D.R.B., Özdemir, Y.S.
    Year: 2021
    Title: Q-rung orthopair fuzzy topsis method for green supplier selection problem
    Citations: 62
  • 📝 Article
    Author(s): Pinar, A., Boran, F.E.
    Year: 2020
    Title: A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure
    Citations: 92