Kaili Wang | Machine Learning and Statistics | Best Researcher Award

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Dr. Kaili Wang | Machine Learning and Statistics | Best Researcher Award

university of malaya | Malaysia

Dr. Kaili Wang is an accomplished economist and Doctoral Candidate in Financial Economics at the University of Malaya, with a strong academic foundation in quantitative analysis, holding a master’s degree in Quantitative Economics from Zhongnan University of Economics and Law and a bachelor’s degree in Statistics from Luoyang Normal University. She has extensive teaching experience, having served as a full-time faculty member at the Business School of Nantong University of Technology, where she contributed significantly to both academic research and student mentorship. Her research expertise encompasses financial security, green finance, and the operational efficiency of financial institutions, reflected in her monographs, including Analysis of RMB Internationalization Path from the Perspective of Financial Security (sole author) and Research on the Long-term Mechanism of Green Finance Development (second author). She has also led impactful research projects, such as the Jiangsu Provincial University Philosophy and Social Sciences Research Project on the operational efficiency of city commercial banks. Kaili Wang has demonstrated a strong commitment to student development, guiding participants in national and provincial financial competitions to notable achievements, including second and third prizes in the National ETF Elite Challenge and the “East Money Cup” National College Students’ Financial Challenge, and earning recognition as an Excellent Supervisor. Her work reflects a combination of rigorous empirical analysis and practical engagement with financial markets, emphasizing sustainable finance and strategic economic development. With a focus on integrating academic excellence with real-world financial insights, Kaili Wang continues to advance knowledge in financial economics while nurturing the next generation of economists and financial professionals through research, mentorship, and academic leadership. Her career demonstrates a sustained dedication to both scholarly contributions and fostering student success in competitive financial arenas.

Profile: Orcid

Featured Publication

Wang, K. (2024). An analysis of the RMB internationalization path from the perspective of financial security.

Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

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Dr. Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

The Royal Melbourne Hospital-The University of Melbourne | Australia

Dr. Yohanna Kusuma is an Australian-trained, internationally recognised neurologist and academic whose clinical and research work bridges acute stroke, neuroimaging, neurosonology, and movement disorders, with a strong translational focus across the Asia-Pacific region. She obtained her neurology specialist qualification from the University of Indonesia with honours, completed advanced fellowships in neurosonology and stroke at leading institutions in Singapore, and earned a PhD from Deakin University supported by an international scholarship, focusing on advanced CT-perfusion imaging in acute ischaemic stroke and the influence of ethnicity on imaging and clinical outcomes. She holds Fellowship of the Royal Australasian College of Physicians, qualifying her as a Consultant Neurologist in Australia. Dr Kusuma serves as Chief Investigator of the AI-powered SERENA platform for real-time stroke triage and decision support, leads the multinational APEX registry on acute ischaemic stroke with cancer spanning nine Asia–Pacific countries, and co-supervises PhD and honours students at Deakin University. She holds senior appointments in both Australia and Indonesia, including Senior Consultant Neurology at Metropolitan Medical Centre Hospital in Jakarta and Senior Research Fellow at The University of Melbourne. Her professional leadership includes representing Indonesia on the Asia Pacific Stroke Organisation and the Asian Stroke Advisory Panel, serving on the Education Council of the Australian Stroke Academy, and having previously served as a Co-opted Board Member of the World Stroke Organisation. Actively engaged in education and training, she has organised and delivered numerous neurosonology and stroke imaging workshops across the Asia-Pacific. Her research output is extensive, with an h-index of 4 and 144 citations, 13 peer-reviewed publications, book chapters, and international presentations. Dr Kusuma exemplifies a clinician-scientist who integrates cutting-edge imaging, neurosonology, and translational stroke research while advancing global collaborations in academic neurology, clinical innovation, and medical education.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

University of Lisbon | Portugal

Dr. Rasool Taban, Ph.D, is a distinguished Data Scientist currently affiliated with Technical University Institute – University of Lisbon, where he continues to advance the frontiers of Artificial Intelligence and Data Science. His academic journey began in Computer Engineering and evolved into a profound focus on Artificial Intelligence during his M.Sc. studies at the University of Tehran, where he graduated with honors in Artificial Intelligence and Robotics. His early research centered on developing an automated screening system designed to assist in diagnosing Autism Spectrum Disorder in children, demonstrating his ability to merge technology with meaningful social impact. Dr. Taban recently earned his Industrial Ph.D. at Institute – University of Lisbon, funded by the prestigious Marie Curie BIGMATH project, where his research specialized in addressing one of the most persistent challenges in statistical learning-imbalanced data. He successfully developed three novel balancing techniques, each tailored to optimize performance across different variable classes, making significant contributions to data reliability and analytical accuracy in machine learning models. With two published journal papers indexed in Scopus and SCI, Dr. Taban’s scholarly work reflects both academic rigor and applied innovation. He has also participated in multiple research and industry projects, collaborating with institutions such as the SDG Group, CIF/N26, Evenco International, and CTAD–Tehran Autism Center. His involvement as part of the editorial team for the International Conference on Robotics and Mechatronics (ICRoM) further underscores his leadership in advancing interdisciplinary research. Dr. Taban’s primary research interests include imbalanced data, statistical learning, data science, and financial data modeling. His contributions have not only expanded methodological knowledge in statistical computing but have also bridged the gap between theoretical frameworks and real-world data-driven applications, reflecting his commitment to excellence in both academia and industry.

Profiles:  Google Scholar | Linked In

Featured Publications

Taban, R., Nunes, C., & Oliveira, M. R. (2023). RM-SMOTE: A new robust balancing technique.

Taban, R., Nunes, C., & Oliveira, M. R. (2025). Mixed-robROSE: A novel balancing technique tailored for mixed-type datasets.

Bozorgnia, F., Arakelyan, A., & Taban, R. (2023). Graph-based semi-supervised learning for classification of imbalanced data. Submitted to Conference ENUMATH.

Shahri, M. A., & Taban, R. (2021). ML revolution in NLP: A review of machine learning techniques in natural language processing. Journal of Applied Intelligent Systems & Information Sciences (JAISIS), 2(1), 2.

Taban, R., Parsa, A., & Moradi, H. Tip-toe walking detection using CPG parameters from skeleton data gathered by Kinect. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 9).

Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

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Assoc Prof. Dr. Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

Taiyuan University of Technology | China

Assoc Prof. Dr. Yongsheng Wang is an Associate Professor in the College of Materials Science & Engineering at Taiyuan University of Technology, China. His research focuses on alloy materials and coating design, fabrication, and characterization, including high-entropy alloys, additive manufacturing, diamond coatings, and surface treatments. He obtained his Ph.D. from the University of Science & Technology Beijing and completed postdoctoral research at Beihang University, with a visiting scholar experience at Purdue University, United States. Dr. Wang has made significant contributions to the development of advanced alloy systems and surface engineering technologies. He has published over 60 peer-reviewed scientific papers in reputed international journals, authored several high-impact studies on metallic glass composites, Ti-based alloys, and high-entropy materials, and holds nine patents, including one granted in the United States. His work has received multiple financial supports from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, the Shanxi Provincial Natural Science Foundation, and the State Key Laboratory of Advanced Metal Materials. With an impressive h-index of 18, over 1,013 citations, and approximately 91 research documents, his research has established him as a leading expert in materials science. Dr. Wang’s technical expertise covers a wide range of experimental techniques such as scanning electron microscopy, X-ray diffraction, nanoindentation, and additive manufacturing, contributing to the understanding and optimization of mechanical properties, microstructures, and performance of next-generation alloy materials.

Profiles: Scopus | Orcid 

Featured Publications

Qi, J., Wu, Y., Zhang, C., Yu, S., Wang, Y., Liu, Y., & Hei, H. (2025). Ultraviolet photodetector of TiO₂ film in different phase on various substrates. Ceramics International.

Mu, Y., Liang, Y., Sheng, J., Zhang, C., Guo, Z., Yang, G., Sun, T., Wang, Y., & Lin, J. (2025). A novel approach to coating for improving the comprehensive high-temperature service performance of TiAl alloys. Journal name, volume(issue), page range.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Microstructural evolution and densification behavior of high-Nb TiAl produced by powder forging.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Low-temperature deposition of CVD diamond films on HfNbTaMo medium entropy alloy: Morphology, process and wear properties. Surface and Coatings Technology, 509, 130887.

Wang, Y., Hou, M., Huang, Z., Xu, Y., Tan, C., & Xiao, H. (2025). Effect of heat treatment on microstructure and mechanical properties of a new alpha-titanium alloy Ti-6.0Al-3.0Zr-0.5Sn-1.0Mo-1.5Nb-1.0V. Journal of Materials Engineering and Performance, 34, 12348–12358.

Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

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Mr. Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

The University of Hong Kong | China

Mr. Bao Pengfei is a distinguished scholar and translator specializing in multilingualism, translation studies, and intercultural communication. He earned a Master of Arts in Translation from The University of Hong Kong, focusing on advanced translation studies, language contrast for translators, and the translation of government and commercial texts, and a Bachelor of Arts in Translation from Sichuan International Studies University (SISU), where he studied comprehensive English, oral English, computer-assisted translation, liaison interpreting, Chinese-English translation, advanced English writing, and consecutive interpreting. Over his academic and professional journey, Bao has amassed extensive experience translating and interpreting across diverse domains, including legal, financial, literary, and cultural texts, completing over 200,000 words in multiple languages such as Korean, Japanese, and Chinese through roles at organizations like Zhongshan WYA Trans Service Company, LuzTrans, CICG Asia-Pacific, and the Ministry of Culture, Sports and Tourism of the Republic of Korea. He has also actively contributed to cultural exchange initiatives and digital marketing efforts promoting Korean culture internationally.

Featured Publications

“Delineating Translanguaging: Theoretical Distinctions fromCode-SwitchingandaVygotskian Model of Cognitive Scaffolding in Multilingual Classrooms”

“Generational Linguistic Conflict in Digital Fields: Bourdieu’s Cultural Capital Theoryand Cross-Cultural Decoding Hegemony of Z-Generation Internet Slang”

“‘From Monolingual Decoding to Translingual Semiotics: A HallidayanFrameworkforMultilingual Literacy Development”

“The Grammaticalization of Illocutionary Force in Legal Discourse: ADiachronicComputational Analysis of Speech Act Shifts from Pre-Modern Codes to Modern Legal Instruments”

“Negotiating Cultural Hegemony: Power Dynamics in the Postcolonial TranslationofAfrican Literature into English”

Nitendra Palankar | Statistical Applications in Engineering | Best Researcher Award

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Dr. Nitendra Palankar | Statistical Applications in Engineering | Best Researcher Award

Don Bosco College of Engineering | India

Dr. Nitendra Palankar is a seasoned academic and researcher specializing in Transportation Engineering and Concrete Technology, with over 12 years of experience in the field. He currently serves as a Professor in the Department of Civil Engineering at KLS Gogte Institute of Technology, Belagavi, Karnataka, India. Dr. Palankar completed his Ph.D. in Civil Engineering (Transportation Engineering) from the National Institute of Technology Karnataka (NITK), Surathkal, in July 2016, following an M.Tech. in the same discipline from NITK in 2012. His doctoral research focused on the “Performance of Alkali Activated Concrete Mixes with Steel Slag as Coarse Aggregate for Rigid Pavements,” under the guidance of Prof. A.U. Ravishankar. He has been actively involved in teaching for over six years and has contributed significantly to the academic community through various roles, including serving as an editorial member for the American Journal of Construction and Building Materials and as a reviewer for several reputed journals and conferences. Dr. Palankar has also been a registered research guide at Visvesvaraya Technological University (VTU), Belagavi, currently supervising two research scholars. His research interests encompass sustainable construction materials, particularly the use of industrial by-products in concrete, and the development of eco-friendly pavement technologies. He has authored numerous publications in high-impact journals, including the Journal of Cleaner Production and the International Journal of Pavement Engineering. Dr. Palankar holds an h-index of 6, with 484 citations. His work has garnered recognition for its contribution to sustainable civil engineering practices, particularly in the context of utilizing industrial waste materials for pavement construction. Through his extensive research and academic endeavors, Dr. Palankar continues to advance the field of transportation engineering, focusing on innovative and sustainable solutions for infrastructure development.

Featured Publications

“Studies on Self-Healing Properties of Glass Fibre Reinforced Bituminous Concrete Mixes”

“Development of regression model for strength prediction of Eco-Friendly alkali activated dry lean concrete for pavements”

“Investigations on performance of alkali activated mortar mixes containing red mud and aluminum dross”

“Performance of Alkali-Activated Mortar Mixes Containing Industrial Waste Materials as Binders”

“A study on the effect of rejuvenators in reclaimed asphalt pavement based stone mastic asphalt mixes”

Ahmed A. Ahmed | Regression and Correlation Analysis | Best Researcher Award

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Assoc Prof. Dr. Ahmed A. Ahmed | Regression and Correlation Analysis | Best Researcher Award

Mustansiriyah University | Iraq

Dr. Ahmed A. Ahmed, Ph.D, is a distinguished faculty member in the Civil Engineering Department at Mustansiriyah University, Baghdad, Iraq, with a robust research profile emphasizing new and advanced infrastructure materials, durability of engineering materials, infrastructure sustainability, green building materials, material characterization, corrosion and carbonation assessment, microstructure analysis, and evaluation of concrete deterioration processes and mechanisms. With an h-index of 5, 70 citations, and a ResearchGate score of 83.5, Dr. Ahmed has contributed extensively to the field through numerous high-impact publications, including studies on corrosion resistance of calcium sulfoaluminate cementitious systems, reliability of chloride testing in cementitious systems, and experimental investigations on reinforcing steel behavior under corrosive conditions. Since 2012, he has served as a faculty member at Mustansiriyah University and held leadership roles such as Head of the Training and Development Unit in the Continuing Education Branch and active membership in professional societies including the American Concrete Institute, American Society of Civil Engineers, Iraqi Academic Syndicate, Iraqi Engineers Union, and Iraqi Teachers Union. Dr. Ahmed earned his Ph.D. in Infrastructure Materials with a minor in Statistics from Oregon State University and holds multiple advanced teaching certificates and engineering degrees. He has also presented at international conventions and workshops across the United States and Malaysia, highlighting his commitment to research excellence, pedagogy, and professional development in civil engineering.

Profiles:  Orcid | Scopus

Featured Publications

“Assessing the Impact of Graphene Nanoplatelets Aggregates on the Performance Characteristics of Cement-Based Materials”

“Performance Evaluation of Concrete Masonry Unit Mixtures Incorporating Citric Acid-Treated Corn Stover Ash and Alkalinized Corn Stover Fibers”

“Evaluating the Characteristics of Fibrous Pure Gypsum Containing Chopped Carbon Fiber (CCF)”

“Evaluating the performance of thermomechanically beneficiated fly ash blended mortar”

“Reliability of chloride testing results in cementitious systems containing admixed chlorides”

Hexin Zhang | Descriptive and Inferential Statistics | Best Paper Award

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Dr. Hexin Zhang | Descriptive and Inferential Statistics | Best Paper Award

Dr. Hexin Zhang | Harbin Engineering University | China

Dr. Hexin Zhang serves as an Associate Professor and Ph.D. Supervisor at the School of Materials Science and Chemical Engineering, Harbin Engineering University. His academic journey has been guided by a dedication to advancing the field of high-temperature composite materials, superalloys, and additive manufacturing. With consistent contributions to research and education, Dr. Zhang has established himself as a recognized scholar whose work bridges fundamental understanding with industrial application. His expertise reflects not only in his technical research but also in the mentorship of students and the leadership of collaborative projects. Through his professional efforts, he has nurtured an academic path marked by innovation, curiosity, and the pursuit of impactful scientific progress. His work remains committed to developing solutions that align with the evolving challenges of materials science while setting benchmarks that inspire colleagues and students alike across research and industrial communities.

Profile

Scopus

Education

Dr. Zhang pursued rigorous academic training in materials science, which laid the foundation for his impactful career. His undergraduate education provided a comprehensive grounding in chemistry and material fundamentals, equipping him with the tools to navigate complex research challenges. His postgraduate journey deepened this knowledge through advanced study in high-temperature materials and structural applications, allowing him to build expertise in addressing technical frontiers of engineering innovation. The doctoral training he received emphasized both theoretical understanding and experimental practice, guiding him to investigate emerging material systems with precision and creativity. His educational background combines strong academic discipline with applied problem-solving, reinforcing his ability to contribute meaningfully to both scientific discovery and industrial implementation. This solid academic pathway has directly shaped his role as a researcher, educator, and supervisor, positioning him to guide future generations while continuing to explore new research possibilities in his chosen fields.

Experience

Dr. Zhang has successfully led and contributed to projects supported by various funding bodies, including national foundations, special research programs, and regional initiatives. His portfolio includes collaborations with both academic and industrial partners, reflecting his commitment to transforming laboratory findings into practical technologies. Through these roles, he has gained invaluable experience in project management, cross-disciplinary teamwork, and academic leadership. His efforts span from fundamental research into high-performance materials to applied studies that directly serve industrial needs. By working with industry collaborators, he has fostered the integration of cutting-edge knowledge into real-world applications, enhancing technological progress in key sectors. His role as a Ph.D. Supervisor highlights his ability to mentor students and nurture talent, ensuring the sustainability of research excellence. Collectively, his experience exemplifies a dynamic balance between scholarly inquiry, practical application, and academic mentorship within the evolving domain of materials science.

Research Interests

Dr. Zhang’s research interests revolve around the development and optimization of high-temperature composite materials, superalloys, and additive manufacturing techniques. He explores structural design strategies that improve material performance under demanding conditions, with particular emphasis on durability, thermal stability, and mechanical resilience. His work aims to refine the performance of engineering materials to meet the growing challenges of modern industries such as aerospace, energy, and advanced manufacturing. He also investigates innovative methods in additive manufacturing to enhance precision, reduce costs, and create complex structures that were previously unattainable with conventional techniques. By combining experimental approaches with theoretical insights, his research offers comprehensive solutions that bridge academic exploration and industrial need. This multidisciplinary focus underscores his commitment to fostering new knowledge while addressing practical challenges, making his contributions relevant both in academia and in fields that depend on advanced material technologies.

Award & Recognitions

Dr. Zhang has received recognition for his contributions to scientific research and academic leadership. His achievements have been acknowledged through competitive research grants, invitations to contribute to academic committees, and opportunities to collaborate on high-impact projects. These distinctions reflect his capacity to lead with innovation and to make lasting contributions within his area of expertise. His consistent pursuit of excellence, coupled with his ability to align research with industrial needs, highlights his distinguished role within the scientific community. His awards and honors not only represent personal success but also underscore the collective progress of his teams and collaborators. Each recognition reinforces the importance of his research in advancing material science applications, while also motivating future endeavors aimed at solving critical technological challenges. His professional acknowledgments illustrate his standing as a respected scholar and an influential contributor to the global research landscape.

Publication Top Notes

Impact of Secondary γ’ Precipitate on the High-Temperature Creep Properties of DD6 Alloy

Journal: Metals and Materials International
Authors: Xiaopeng Li, Shan Yu, Yao Huang, Yuqi Wang, Hexin Zhang, Chengzhi Zhao

Microstructural Evolution and Its Effect on Tensile Properties of 10Cr-2W-3Co Martensitic Steel During Thermal Exposure

Journal: Materials Today Communications
Authors: Yuqi Wang, Yihan Zhao, Yao Huang, Shan Yu, Jiaxin Shang, Chengkun Yang, Hexin Zhang, Chengzhi Zhao

Microstructure Evolution and Mechanical Properties of Ti-6Al-4V Alloy Fabricated by Directed Energy Deposition Assisted with Dual Ultrasonic Vibration

Journal: Materials Science and Engineering A
Authors: Fang Chao Peng, Chunhuan Guo, Fengchun Jiang, Hexin Zhang, Sergey Konovalov

Effect of powder particle size on the microscopic morphology and mechanical properties of 316 L stainless steel hollow spheres

Journal: Granular Matter
Authors: Jianliang Li, Xu Cui, Qianfei Sun, Chunhuan Guo, Fengchun Jiang, Hexin Zhang

Study on Hot-Compressive Deformation Behavior and Microstructure Evolution of 12Cr10Co3MoWVNbNB Martensitic Steel

Journal: Steel Research International
Authors: Yuqi Wang, Yao Huang, Shan Yu, Chengkun Yang, Hexin Zhang, and Chengzhi Zhao

Conclusion

Dr. Zhang’s academic journey illustrates a consistent pursuit of excellence in scientific exploration, technological innovation, and educational mentorship. His contributions to high-temperature materials, superalloys, and additive manufacturing highlight his ability to merge theoretical knowledge with practical application, thereby fostering advancements that resonate across industries and research domains. As an active leader in research projects and an accomplished author of widely cited publications, he exemplifies the qualities of a researcher committed to addressing contemporary challenges. His mentorship of students and collaborations with industrial partners further amplify the impact of his work, ensuring its continued relevance and contribution to both knowledge and application. In light of his achievements, he stands as a highly deserving candidate for recognition, embodying the spirit of academic excellence, innovation, and professional dedication. His continued efforts will undoubtedly shape the future trajectory of materials science and inspire new generations of researchers.