Najeh Aissaoui | Entrepreneurship | Research Excellence Award

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Dr. Najeh Aissaoui | Entrepreneurship | Research Excellence Award

ESSECT, University of Tunis | Tunisia

Dr. Najeh Aissaoui is an assistant professor in economics with a strong academic and teaching background in economic theory, Entrepreneurship business studies, and applied economics. Her academic training spans doctoral and postgraduate studies in economics, with a solid foundation in financial, banking, and development economics. She has held teaching and academic positions across several higher education institutions, where she contributed extensively to undergraduate and graduate programs. Her teaching portfolio includes macroeconomics, industrial economics, entrepreneurship, innovation, and business-oriented quantitative courses, reflecting her interdisciplinary approach to economics and management education. Her research interests focus on the digital economy and its implications for development, with particular emphasis on digital divide, socioeconomic inequalities, sustainable development, and entrepreneurship. Her scholarly work explores how digital transformation influences economic inclusion, productivity, and long-term development outcomes, especially in emerging and developing economies. In addition to research, she is actively engaged in pedagogical innovation and capacity building, having received extensive training in teaching methodologies, digital learning systems, and trainer development. She also possesses strong competencies in e-learning platforms, research dissemination, academic publishing, and technical tools for scholarly communication. Through her combined expertise in research, teaching, and academic training, Dr. Aissaoui contributes meaningfully to advancing economic knowledge, fostering innovation, and promoting sustainable and inclusive development through education and research.

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The digital divide: a literature review and some directions for future research in light of COVID-19

N. Aissaoui – Global Knowledge, Memory and Communication, 71(8/9), 686–708, 2022
Is inequality harmful for broadband diffusion and economic growth

N. Aissaoui – Asian Economic and Financial Review, 7(8), 799–808, 2017
ICT and growth gap between nations: evidence from MENA region

N. Aissaoui – Journal of Business Management and Economics, 8(1), 26–37

Sylvester William Chisale | Renewable Energy | Research Excellence Award

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Dr. Sylvester William Chisale | Renewable Energy | Research Excellence Award

Malawi University of Science and Technology | Malawi

The academic profile reflects a strong background in engineering, applied physics, and renewable energy, with extensive experience in teaching, research, and academic leadership within higher education institutions. The individual’s research is centered on renewable energy resource assessment, energy demand forecasting, climate variability impacts on energy systems, and integrated renewable energy planning for sustainable electrification. A strong emphasis is placed on developing data driven and policy relevant solutions that support clean energy transitions, particularly in emerging and developing energy systems. Scholarly contributions include numerous peer reviewed journal publications that demonstrate consistent research productivity and growing international visibility in the fields of energy systems analysis and sustainability science. In addition to research, the academic has been actively involved in curriculum development, postgraduate supervision, and the establishment of new academic programs aimed at strengthening applied physics and energy education. Leadership roles include supporting departmental administration, external academic examination, and peer review for international journals, highlighting engagement with the global research community. The overall academic vision focuses on building research oriented and innovation driven academic environments that promote interdisciplinary collaboration, postgraduate training, and externally funded research. Through teaching, research, and leadership, the profile reflects a commitment to advancing sustainable energy knowledge and capacity building in higher education.

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Kunhyui Kim | International Economics | Research Excellence Award

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Dr. Kunhyui Kim | International Economics | Research Excellence Award

Nagoya University | Japan

Kunhyui Kim is an international economist whose research focuses on international trade, non-tariff measures (NTMs), global value chains (GVCs), and the quality of traded goods, with particular emphasis on East and Southeast Asian economies. His work examines how regulatory policies, technical standards, and trade-related frictions affect firm behavior, trade margins, foreign direct investment, and product quality. A significant strand of his research analyzes the economic impacts of COVID-19, including household coping strategies, human capital development, and the role of government support and fintech in sustaining informal businesses across ASEAN countries. He has contributed to policy-oriented research through publications with the Asian Development Bank Institute and the Economic Research Institute of ASEAN and East Asia, addressing issues such as regional cooperation on NTMs, regulatory divergence, and compliance costs in trade. His methodological approach combines structural trade models, including extensions of the Eaton–Kortum framework, with empirical analysis using cross-country and firm-level data. Kim has actively presented his research at major international conferences and workshops, covering topics such as GVC determinants, technical regulations, investment decisions, innovation incentives, and trade policy uncertainty. Overall, his scholarship bridges academic trade theory and applied policy analysis, offering insights relevant to regional economic integration, trade governance, and development strategies in Asia.

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Sang su Lee | Venous Disease | Best Researcher Award

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Prof. Sang su Lee | Venous Disease | Best Researcher Award 

Pusan National University YangSan Hospital | South Korea

This senior academic surgeon has built an extensive research career in vascular, endovascular, transplantation, and microsurgical sciences. Scholarly work has focused on vascular reconstruction, endovascular intervention techniques, transplant-related vascular procedures, and advanced microsurgical applications. Research experience includes international fellowships in vascular and endovascular intervention, with exposure to cutting-edge clinical research environments in Asia and the United States. Significant contributions have been made to translational research linking surgical innovation with clinical outcomes, particularly in complex vascular disease management and minimally invasive endovascular therapies. The researcher has played a leading role in developing educational and research frameworks within professional societies, contributing to national surgical atlases and serving on medical examination and academic compilation committees. Active involvement in editorial boards, scientific program committees, and education and training committees reflects a sustained commitment to advancing evidence-based vascular surgery. Leadership roles in regional and international vascular societies have supported collaborative research initiatives, guideline development, and academic exchange across Asia and Europe. Overall, the research portfolio demonstrates long-term dedication to improving vascular and endovascular surgical science through clinical research, academic leadership, and international collaboration, with a strong emphasis on innovation, training, and multidisciplinary integration.

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Xinyu Yang | Hematology | Distinguished Scientist Award

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Prof. Xinyu Yang | Hematology | Distinguished Scientist Award

Xiangya Hospital of Central South University | China 

Xinyu Yang is a Hematology researcher and clinician–scientist whose work centers on the intersection of hematology, oncology, immunity, and coagulation disorders. His primary research interests include sepsis-associated disseminated intravascular coagulation (DIC), inflammation-driven thrombosis, cellular immunotherapy, and hematopoietic stem cell transplantation (HSCT). He has extensive experience in the clinical and translational management of hematologic malignancies, with a particular emphasis on leukemia, myelodysplastic syndromes, lymphoma, coagulation disorders, and HSCT. His laboratory research focuses on immune-based therapeutic strategies, including the application of CAR-T cell therapy for refractory leukemia, and he is proficient in key experimental techniques such as flow cytometry, cell culture, and ELISA. His academic work integrates mechanistic studies of coagulation activation, tissue factor regulation, and immune–coagulation crosstalk in sepsis. As a principal investigator and co-investigator on multiple competitive grants, his funded projects explore the molecular mechanisms of coagulation activation in sepsis, the pathophysiology of DIC, and epigenetic regulation of procoagulant pathways. Through combined clinical practice, laboratory research, and academic teaching, his work contributes to advancing precision immunotherapy, improving outcomes in hematologic diseases, and deepening understanding of inflammation–thrombosis interactions in critical illness.

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Bin Shi | Applied Mathematics | Research Excellence Award

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Prof. Bin Shi | Applied Mathematics | Research Excellence Award

Fudan University | China 

Bin Shi is an associate professor with tenure whose research spans mathematics, machine learning, and the physical sciences, with a strong emphasis on theoretical foundations and interdisciplinary applications. His work focuses on optimization methods for machine learning, where he develops mathematically rigorous algorithms to improve efficiency, stability, and generalization in large-scale and complex learning systems. He has made significant contributions to numerical analysis and scientific computing, particularly in designing and analyzing computational methods for high-dimensional and nonlinear problems arising in science and engineering. A central theme of his research is data assimilation, integrating observational data with mathematical models to enhance prediction and uncertainty quantification in complex dynamical systems. He also explores quantum algorithms, investigating how quantum computing paradigms can accelerate optimization and learning tasks. His background in nonlinear and stochastic sciences underpins his studies of systems influenced by randomness, multiscale interactions, and long-term dynamics. In addition, his research extends to fluid dynamics, including turbulence, geophysical flows, and astrophysical phenomena, where advanced mathematical and computational techniques are used to understand highly nonlinear and chaotic behaviors. Overall, his work bridges rigorous theory with computational practice, contributing to the development of reliable algorithms and models for modern data-driven and physics-informed scientific challenges.

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Featured Publications

Understanding the Acceleration Phenomenon via High-Resolution Differential Equations

B. Shi, S.S. Du, W. Su, M.I. Jordan — Mathematical Programming, 195, 79–148 (2022) · 379 citations
Acceleration via Symplectic Discretization of High-Resolution Differential Equations

B. Shi, S.S. Du, W. Su, M.I. Jordan — Advances in Neural Information Processing Systems (NeurIPS), 32 (2019) · 166 citations
On Learning Rates and Schrödinger Operators

B. Shi, W.J. Su, M.I. Jordan — Journal of Machine Learning Research, 24(379), 1–53 (2023) · 85 citations
Mathematical Theories of Machine Learning: Theory and Applications

B. Shi, S.S. Iyengar — Springer International Publishing (2020) · 44 citations
Gradient Norm Minimization of Nesterov Acceleration: o(1/k³)

S. Chen, B. Shi, Y. Yuan — arXiv preprint, arXiv:2209.08862

Kaiqian Shu | Comprehensive recovery of metallic minerals | Women Researcher Award

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Dr. Kaiqian Shu | Comprehensive recovery of metallic minerals | Women Researcher Award

southwest university of science and technology | China

Kaiqian Shu is a distinguished scholar at the Southwest University of Science and Technology, recognized with the Young Researcher Award for his exceptional contributions to mineral resource utilization and solid-waste valorization. As a doctoral supervisor, he focuses on advancing theoretical and applied research in the comprehensive utilization of technical mineral resources and the resource-efficient transformation of mineral processing and metallurgical residues. He has authored an extensive body of work, including a substantial number of SCI and EI publications in high-impact journals such as Chemical Engineering Journal, Journal of Hazardous Materials, and Advanced Energy Materials. His research portfolio includes multiple papers in leading journals, several articles with high impact, and a notable cover publication. His scientific contributions have achieved over nine hundred ten citations, reflecting significant global influence, and he holds an H-index of seventeen. Beyond publications, he has secured invention patents that demonstrate strong translational value in resource engineering. His leadership extends across major national and municipal initiatives, including prestigious science foundation programs and key research and development projects in deep-earth science and technology. With a strong focus on optoelectronic-driven separation and purification of metal resources, he continues to drive innovation at the intersection of mineral engineering, materials science, and sustainable resource recovery.

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Liu-Hua Yu | Welding | Research Excellence Distinction Award

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Mr. Liu-Hua Yu | Welding | Research Excellence Distinction Award

Shanghai Shipbuilding Technology Research Institute | China

Liu-Hua Yu is a mechanical design engineer specializing in materials science and intelligent ship equipment, currently serving at the China Shipbuilding Industry Corporation 11th Research Institute. With a strong academic foundation shaped through his research associate role at Nanjing University of Science & Technology, he has built expertise in ship assembly design, intelligent control systems, and simulation-based course-keeping technologies. His research spans advanced gas-electric welding equipment, neural-network-driven ship motion control, and intelligent marine-profile cutting technologies, leading to multiple high-impact publications across respected engineering journals. In addition to his scholarly outputs, he has secured several authorized national patents and filed additional patent applications, reinforcing his contribution to innovation in marine engineering. His scientific impact is reflected in an h-index of ten, with more than forty scholarly documents and over three hundred citations, demonstrating growing recognition of his work within the global research community. Skilled in SolidWorks, CAD, MATLAB, and advanced characterization instruments, he integrates design engineering with data-driven research and modern manufacturing technologies. With strong communication abilities and proficiency in essential scientific and engineering software, Liu-Hua Yu continues to advance the development of intelligent maritime systems, contributing to technological progress in shipbuilding and modern mechanical design.

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Hongbin Yan | Applied Soft Computing | Research Excellence Award

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Prof.  Hongbin Yan | Applied Soft Computing | Research Excellence Award

School of Business, East China University of Science and Technology | China 

Yan Hongbin is a professor of Management Science and Engineering at East China University of Science and Technology (ECUST), where he also serves as a PhD supervisor. He earned a PhD from the Japan Advanced Institute of Science and Technology, following earlier degrees in management from Dalian University of Technology. His teaching covers management information systems, information system analysis and design, IT service management (for MBA students), and research methodology for master and doctoral students. His research centers on decision analysis under uncertainty, new product development, service and quality management, technological innovation, and Kansei (emotion-based) engineering. Over his career, he has authored many peer-reviewed journal and conference papers in outlets such as Computers & Industrial Engineering, Omega, IISE Transactions and others; his work has attracted substantial scholarly attention. According to his public academic profile, his publications have been cited hundreds of times, and his citation count on one platform exceeds seven hundred. Overall, his scholarly output and impact place him among the active contributors in the fields of management science and decision support.

Profile: ORCID 

Featured  Publications 

Yan, H.-B., Qu, L., & Huynh, V.-N. (2025).
A probability based linguistic decision making approach to reliable Kano model for classifying quality attributes. Applied Soft Computing, 114381.

Chen, Z., Zhou, X., Zhang, Z., Yan, H., Niu, X., & Li, Y. (2025).
Using the decomposed theory of planned behavior and a structural equation model with partial least squares to investigate construction and demolition waste reduction behavior. Journal of Construction Engineering and Management, 15810.

Wang, W., Li, Y., Yan, H., Zhao, W., Zhao, Q., & Luo, K. (2025).
A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection. Expert Systems with Applications, 125570.

Yanqi Dang |  CRC | Best Scholar Award

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Prof. Dr. Yanqi Dang |  CRC | Best Scholar Award

Shanghai University of Traditional Chinese Medicine | China

Yanqi Dang is an established researcher at Longhua Hospital, Shanghai University of Traditional Chinese Medicine. He has a Ph.D. in Chinese Pharmacology and a strong academic background in biological sciences. Over his career, he has published 47 peer-reviewed papers, and his work has been cited about 880 times — giving him an h-index of 20. Scinapse His research primarily focuses on colorectal carcinoma and non-alcoholic fatty liver disease (NAFLD), exploring mechanisms involving epigenetics and investigating potential antitumor or hepatoprotective compounds from traditional Chinese medicine. Among his recent work is a study showing that a decoction improves hepatic steatosis through ALKBH1-mediated DNA N6-methyladenosine modification. Frontiers+1 With a sustained publication record and growing influence in the fields of oncology and metabolic liver disease, he is recognized as a dedicated contributor to integrating modern scientific methods with traditional medicine.

 

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