Lili Zhan | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Lili Zhan | Artificial Intelligence | Best Researcher Award

Associate Professor| Shandong University of Science and Technology | China

Assoc. Prof. Dr. Lili Zhan is a researcher whose work spans remote sensing, Arctic cryosphere monitoring, computer vision, and artificial intelligence–enhanced educational systems. Her scholarship incorporates both physical environmental analysis and advanced data-driven methodologies, with representative contributions including sensitivity analyses of microwave brightness temperature to variations in snow depth on Arctic sea ice, a deep-learning-based remote-sensing scene-classification framework employing EfficientNet-B7, and an improved YOLOv7 instance-segmentation method for ship detection in complex SAR imagery Lili-Zhan. She has also contributed to the design and implementation of intelligent teaching models grounded in contemporary AI and data-centric approaches, demonstrating interdisciplinarity across geospatial sciences and educational technology Lili-Zhan Across these domains, her work reflects a sustained commitment to methodological innovation, integrating state-of-the-art neural architectures with domain-specific challenges in environmental monitoring and maritime situational awareness. Her collaborations often bridge academic research groups focused on cryosphere change, Earth observation, and applied machine learning, enabling the development of tools that support improved climate understanding, maritime safety, and digital-education modernization. Although publication and citation metrics are not specified in the available document, the range of research topics and representative studies indicates a growing scholarly profile with contributions positioned at the intersection of remote-sensing physics and intelligent systems engineering. Collectively, her work holds global societal relevance: enhancing the accuracy of cryospheric measurements supports climate-model improvement and polar-region policy planning; advancing ship-detection techniques contributes to marine governance, environmental protection, and emergency response; and promoting AI-supported pedagogical frameworks aids the digital transformation of education.

Profile: Scopus 

Featured Publications

Zhan, L. (Year). SAR ship target instance segmentation based on SISS-YOLO. Journal Name, Volume(Issue), pages.

Lili Zhan’s work advances the precision of remote-sensing analytics and intelligent detection systems, strengthening global capabilities in environmental monitoring and maritime safety. Her innovations support science-driven decision-making with direct benefits for climate resilience and societal securit

Abdul Razaque | Cybersecurity | Best Researcher Award

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Prof. Dr. Abdul Razaque | Cybersecurity | Best Researcher Award

Professor | Satbayev University | Kazakhstan

Prof. Dr.Abdul Razaque is an accomplished cybersecurity and computer science scholar with more than twenty years of academic, research, and industry experience spanning the United States, Kazakhstan, China, South Korea, France, Morocco, and Pakistan. Currently a Professor of Cybersecurity at Satbayev University and a Postdoctoral Researcher at Gachon University, he has previously served in multiple tenure-track positions, directed international IT projects for UNESCO, and contributed to national ICT initiatives. His research expertise covers cybersecurity, IoT, cloud and edge computing, artificial intelligence, blockchain systems, wireless sensor networks, and smart-city technologies. He has authored more than 200 peer-reviewed publications, including high-impact Q1 journals such as Computer Science Review, IEEE Access, Sensors, Internet of Things, and Future Generation Computer Systems, alongside several books and book chapters. His work has accrued thousands of citations globally, reflecting sustained scholarly influence across interdisciplinary domains. As Principal Investigator or Co-Investigator, he has secured over US$6 million in competitive national and international research funding, leading large-scale projects in intelligent systems, cybersecurity frameworks, image-based monitoring, smart city infrastructures, and privacy-preserving architectures. His collaborative network spans leading institutions across the United States, Korea, Kazakhstan, Saudi Arabia, Europe, and South Asia, with repeated partnerships involving multidisciplinary teams of engineers, computer scientists, medical researchers, and industry stakeholders. Throughout his career, he has demonstrated a commitment to societal impact by developing scalable technologies for public safety, healthcare, digital governance, secure urban infrastructure, and advanced educational systems. His contributions extend to mentoring students, advising theses, shaping curricula, and promoting global research exchange. Recognized with awards including the Best Engineering Student Researcher Award, and supported by extensive professional certifications in cybersecurity, data science, AI, and enterprise technologies, he represents a globally engaged researcher dedicated to advancing secure, intelligent, and equitable digital ecosystems.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Almiani, M., AbuGhazleh, A., Al-Rahayfeh, A., Atiewi, S., & Razaque, A. (2020). Deep recurrent neural network for IoT intrusion detection system. Simulation Modelling Practice and Theory, 101, 102031.

Razaque, A., Bleakley, C., & Dobson, S. (2013). Compression in wireless sensor networks: A survey and comparative evaluation. ACM Transactions on Sensor Networks (TOSN), 10(1), Article 5.

Adnan, M., Razaque, A., Ahmed, I., & Isnin, I. F. (2014). Bio-mimic optimization strategies in wireless sensor networks: A survey. Sensors, 14(1), 299–345.

Al-lQubaydhi, N., Alenezi, A., Alanazi, T., Senyor, A., Alanezi, N., Alotaibi, B., … Razaque, A. (2024). Deep learning for unmanned aerial vehicles detection: A review. Computer Science Review, 51, 100614.

Razaque, A., & Sallah, M. (2013). The use of mobile phone among farmers for agriculture development. International Journal of Scientific Research, 2, 95–98.

Abdul Razaque’s work advances secure, intelligent, and scalable digital systems that strengthen cybersecurity, smart-city infrastructure, and data-driven decision-making across governments, industry, and academia. By integrating AI, blockchain, and IoT technologies into real-world solutions, he enhances public safety, operational efficiency, and technological resilience. His vision is to build globally accessible, trustworthy, and innovative digital ecosystems that drive sustainable societal and economic progress.

Patrice X. Petit | Signal Transduction | Best Researcher Award

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Dr. Patrice X. Petit | signal transduction | Best Researcher Award

 Research director | Centre National de la Recherche Scientifique | France

Dr. Patrice X. Petit, Doctor ès Sciences and PhD in Biology, is a Research Director at the French National Centre for Scientific Research (CNRS), where he has served since 1979 and established an internationally recognized career in cell biology. Trained at the Université Pierre et Marie Curie and the Université Denis Diderot (Paris), his work has focused on the molecular mechanisms governing cell death, mitochondrial dynamics, oxidative stress, and their implications in cancer biology, immunology, and toxicology. Over more than four decades, he has developed a broad international scientific presence through extensive teaching and research collaborations across Europe, North America, and Asia, including academic engagements with institutions such as the Chinese Academy of Sciences, Caltech, UT Southwestern, the Beatson Cancer Research Center in Glasgow, the University of Madrid, and multiple leading universities throughout Scandinavia, Germany, and France. His scientific leadership is further reflected in his service as an elected member (2016–2020) of the Scientific Council of the CNRS Institute of Biological Sciences (INSB). Dr. Petit has authored 134 scientific publications, accumulating approximately 12,500 citations and an h-index of 44, demonstrating sustained research influence across several biomedical domains, including contributions to plant biology. He is an active peer reviewer for major journals such as Cancer Research, Journal of Cell Biology, PNAS, Oncogene, and Cell Death and Differentiation, and he has served as a grant reviewer for major funding bodies, including the Austrian Academy of Sciences, the French National Research Agency (ANR), EMBO, the Swiss National Science Foundation, and the Fondation pour la Recherche Médicale. His interdisciplinary background—ranging from a formal qualification in history (Université Paris Diderot, 1979) to a DIU in rare diseases (Université de Strasbourg, 2017)—underscores both scientific depth and broader intellectual engagement. Through his sustained research output, international collaborations, and service to the scientific community, Patrice X. Petit has contributed significantly to advancing fundamental and translational knowledge in cell biology, with measurable societal impact across biomedical research and education.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Zamzami, N., Marchetti, P., Castedo, M., Decaudin, D., Macho, A., Hirsch, T., … Petit, P. X. (1995). Sequential reduction of mitochondrial transmembrane potential and generation of reactive oxygen species in early programmed cell death. The Journal of Experimental Medicine, 182(2), 367–377.

Zamzami, N., Marchetti, P., Castedo, M., Zanin, C., Vayssière, J. L., Petit, P. X., … Kroemer, G. (1995). Reduction in mitochondrial potential constitutes an early irreversible step of programmed lymphocyte death in vivo. The Journal of Experimental Medicine, 181(5), 1661–1672.

Kroemer, G., Petit, P., Zamzami, N., Vayssière, J. L., & Mignotte, B. (1995). The biochemistry of programmed cell death. The FASEB Journal, 9(13), 1277–1287.

Petit, P. X., Lecoeur, H., Zorn, E., Dauguet, C., Mignotte, B., & Gougeon, M. L. (1995). Alterations in mitochondrial structure and function are early events of dexamethasone-induced thymocyte apoptosis. The Journal of Cell Biology, 130(1), 157–167.

Petit, P. X., Susin, S. A., Zamzami, N., Mignotte, B., & Kroemer, G. (1996). Mitochondria and programmed cell death: Back to the future. FEBS Letters, 396(1), 7–13.

Dr. Petit’s work has fundamentally advanced our understanding of mitochondrial biology and programmed cell death, shaping modern concepts of apoptosis, autophagy, and cellular stress responses. His discoveries enabled new biomedical approaches to cancer, immunology, and rare diseases

Jiawei Shi | curriculum teaching | Best Researcher Award

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Mrs. Jiawei Shi | curriculum teaching | Best Researcher Award

Senior Lecturer | Zhoukou Normal University | China

Mrs. Jiawei Shi is a Senior Lecturer and Research Scholar at Zhoukou Normal University and HUANGHE S&T University, specializing in the intersection of art education, digital pedagogy, and educational equity. His research focuses on addressing structural challenges in China’s basic art education—particularly teacher shortages, disparities in resource allocation, and uneven regional development—through evidence-based digital innovation. As the sole author of the high-impact empirical study “Digital applications inject new vitality into art education—Path analysis based on data of art teachers in basic education in China,” Shi has contributed a rigorous and multidimensional analytical framework that integrates literature review, policy analysis, national education statistics, survey research, Delphi method, Analytic Hierarchy Process (AHP), and the CIPP evaluation model. His work constructs a weighted evaluation index system (Y=0.35X1+0.15X2+0.22X3+0.28X4) and provides robust empirical evidence demonstrating the significant effectiveness of digital applications in enhancing teaching environments, resource distribution, and instructional outcomes in art education. The study’s findings—such as the expert authority coefficient Cr=0.632 and comparative evaluation results between digital demonstration schools and traditional schools—offer both scholarly insight and practical policy value. Shi has authored multiple academic publications and collaborated with interdisciplinary teams and provincial research initiatives, including the 2024 Henan Xingwenhua Cultural Engineering Project (No. 2024XWH241). His research has attracted growing academic attention and citation within the fields of digital education reform and art education modernization. Beyond theoretical contributions, Shi’s work supports national and regional decision-making by proposing actionable strategies for optimizing teacher training, funding mechanisms, and digital resource integration. Committed to advancing educational modernization, he continues to pursue research that promotes equity, innovation, and high-quality development in China’s basic education system, ensuring that digital transformation contributes meaningfully to cultural transmission, artistic literacy, and social progress.

Profile: ORCID

Featured Publications

Shi, J. (n.d.). Digital applications inject new vitality into art education: Path analysis based on data of art teachers in basic education in China.

Jiawei Shi’s research advances the digital transformation of art education by providing a scientifically validated framework that supports equitable resource distribution and improved instructional quality across China’s basic education system. His work guides policymakers, educators, and institutions in adopting evidence-based digital strategies that enhance cultural literacy, modernize teaching practices, and promote inclusive, high-quality education with broad societal impact.

Masini Nicola | Cultural Heritage | Best Researcher Award

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Dr. Masini Nicola | Cultural Heritage | Best Researcher Award

Research Director | Istituto di Scienze del patrimonio Culturale | Italy

Dr. Nicola Masini (b. 1965, Calvello, Italy) is Research Director at the Institute of Heritage Science (CNR-ISPC) and Professor at the University of Basilicata. A leading figure in archaeogeophysics, remote sensing, and cultural heritage conservation, he has authored over 440 scientific works, including 131 articles in international journals, 68 book chapters, and 18 volumes, achieving an H-index of 41 (Google Scholar) and more than 5,800 citations. His research spans non-invasive diagnostics, architectural restoration, and the application of Earth Observation and geophysical technologies to archaeological and monumental contexts. He directs the CNR International Mission ITACA in Peru and Bolivia, fostering interdisciplinary research on Andean civilizations and coordinating over 25 national and international projects, including Horizon 2020 and Interreg initiatives. Masini’s scientific leadership has led to the discovery of major archaeological sites in South America—such as buried pyramids near the Río Nasca and Moche temples in Peru—illustrating his impact on both heritage science and cultural diplomacy. A co-founder and Editor-in-Chief of Heritage (MDPI), he also serves on the editorial boards of Remote Sensing, Journal of Geophysics and Engineering, and Sustainability, and as Associate Editor of Geoscientific Instrumentation, Methods and Data Systems. He has been invited as keynote lecturer in over forty international venues and collaborates with leading institutions in Europe, China, and Latin America. His awards include the Gold Medal of the Italian Civil Protection (2010) and the CAS President’s International Fellowship (2016). Through his interdisciplinary approach, Nicola Masini has contributed substantially to the advancement of digital and scientific methodologies for heritage preservation, strengthening global collaboration between science, technology, and culture in service of sustainable conservation and the protection of humanity’s shared past.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

Luo, L., Wang, X., Guo, H., Lasaponara, R., Zong, X., Masini, N., Wang, G., Shi, P., et al. (2019). Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017). Remote Sensing of Environment, 232, 111280. Cited by 335 .

Lasaponara, R., & Masini, N. (2007). Detection of archaeological crop marks by using satellite QuickBird multispectral imagery. Journal of Archaeological Science, 34(2), 214–221.  Cited by 289 .

Lasaponara, R., & Masini, N. (2012). Satellite remote sensing: A new tool for archaeology (Remote Sensing and Digital Image Processing, Vol. 16). Dordrecht: Springer. Cited by 241.

Lasaponara, R., & Masini, N. (2011). Satellite remote sensing in archaeology: Past, present and future perspectives. Journal of Archaeological Science, 38(9), 1995–2002. Cited by 207 .

Chen, F., Lasaponara, R., & Masini, N. (2017). An overview of satellite synthetic aperture radar remote sensing in archaeology: From site detection to monitoring. Journal of Cultural Heritage, 23, 5–11. Cited by 170 .

Luo, L., Wang, X., Guo, H., Lasaponara, R., Shi, P., Bachagha, N., Li, L., Yao, Y., et al. (2018). Google Earth as a powerful tool for archaeological and cultural heritage applications: A review. Remote Sensing, 10(10), 1558. Cited by 125 .

Nicola Masini’s pioneering research in archaeogeophysics and remote sensing has transformed the documentation, preservation, and management of cultural heritage worldwide. By integrating advanced Earth observation technologies with heritage science, his work bridges scientific innovation and cultural sustainability, safeguarding humanity’s past while informing future strategies for global conservation and sustainable development.

Simin Mahakizadeh | Molecular neuroscience | Best Researcher Award

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Assist. Prof. Dr. Simin Mahakizadeh | Molecular neuroscience | Best Researcher Award

Anthropologist | Alborz University of Medical Sciences | Iran

Dr. Emile Sègbégnon Sonehekpon is an Economist and Policy Analyst specializing in quantitative and applied economics, with expertise in financial stability, agricultural credit markets, and development policy in Sub-Saharan Africa. He earned his Ph.D. in Quantitative Economics from the National School of Statistics and Applied Economics (ENSEA), Abidjan, in 2024, where his dissertation focused on “Accessing Farm Credit Market: The Role of Asymmetry and Information Sharing.” His research employs advanced econometric and statistical modeling to analyze issues related to banking risk, information asymmetry, financial inclusion, and poverty reduction. Dr. Sonehekpon has published in several peer-reviewed journals, including the Journal of Financial Economic Policy, Agricultural Finance Review, and the Revue Économique et Monétaire, and he is currently developing multiple papers on artificial intelligence in banking, credit market segmentation, and renewable energy financing. He has presented his work at major international conferences such as the Canadian Society for Economic Science Congress (2022) and the Atlantic Canada Economic Association Conference (2023), and has received specialized training in risk modeling and impact evaluation from Université Laval and the J-PAL Laboratory (MIT network). Professionally, he has served as a Research Assistant at the National Institute of Agricultural Research of Benin (INRAB) and as a Teaching Assistant at the University of Abomey-Calavi, contributing to both research and academic instruction. His collaborations with institutions such as Moncton University, the World Bank, and WAEMU research networks reflect his commitment to promoting evidence-based policymaking. Fluent in French and English, Dr. Sonehekpon’s scholarly and professional contributions aim to enhance inclusive economic growth through the integration of empirical analysis and policy innovation in Africa.

Profile: Google Scholar | Scopus 

Featured Publications

Farzamfar, S., Naseri-Nosar, M., Samadian, H., Mahakizadeh, S., Tajerian, R., & others. (2018). Taurine-loaded poly (ε-caprolactone)/gelatin electrospun mat as a potential wound dressing material: In vitro and in vivo evaluation. Journal of Bioactive and Compatible Polymers, 33(3), 282–294.

Mahakizadeh, S., Moghani-Ghoroghi, F., Moshkdanian, G., Mokhtari, T., & others. (2016). The determination of correlation between stature and upper limb and hand measurements in Iranian adults. Forensic Science International, 260, 27–30.

Moshkdanian, G., Mahakizadeh, S., Moghani-Ghoroghi, F., Mokhtari, T., & others. (2014). Estimation of stature from the anthropometric measurement of lower limb in Iranian adults. Anatomical Sciences Journal, 11(3), 149–154.

Mahakizadeh, S., Mokhtari, T., Navaee, F., Poorhassan, M., Tajik, A., & others. (2020). Effects of chronic hypoxia on the expression of seladin-1/Tuj1 and the number of dark neurons of hippocampus. Journal of Chemical Neuroanatomy, 104, 101744.

Dr. Emile S. Sonehekpon’s research advances evidence-based economic policymaking by integrating quantitative modeling with real-world development challenges. His work strengthens financial stability, promotes inclusive access to credit, and supports sustainable growth across developing economies through data-driven insights and policy innovation.

Amir Reza Narimani | Laboratory Management | Best Researcher Award

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Assist. Prof. Dr. Amir Reza Narimani | Laboratory Management | Best Researcher Award

Assistant Professor| University of Tehran | Iran

Dr. Amirreza Narimani is a distinguished Iranian scholar and academic specializing in public administration, governance, and the commercialization of university research. He earned his Ph.D. in Public Administration from Allameh Tabataba’i University in 2017 with an excellent grade, following his master’s degree on industry–university relations completed in 1995. Over nearly three decades of academic and research activity, Dr. Narimani has established a strong interdisciplinary portfolio bridging management, higher education policy, innovation systems, and sustainable governance. He has authored or co-authored more than 10 peer-reviewed journal articles, several of which have appeared in scientific–research and international journals, alongside 11 conference papers presented at both national and international levels. His recent studies explore science and technology governance, comparative education systems, HSE management in laboratories, and the role of artificial intelligence in educational equity. Dr. Narimani has also written and compiled four academic books, including Beyond Strategic Human Resource Management (2016) and Green Governance (2024), reflecting his commitment to advancing the integration of ethics, sustainability, and strategic leadership in organizational contexts. His contributions to the University of Tehran, where he has served as an instructor and project leader, include the design of academic programs such as Economic and Corporate Governance at both master’s and doctoral levels. He has supervised and advised numerous graduate theses in management and governance and has been recognized with multiple awards, including the Outstanding Manager of the University of Tehran (2022) and the Best Thesis Award (2018). As a peer reviewer for leading Iranian scientific journals and conferences, Dr. Narimani continues to foster academic excellence and institutional innovation. His scholarly work significantly contributes to the development of knowledge-based governance, university–industry collaboration, and public sector modernization, reinforcing his reputation as a leading researcher and thought leader in governance and higher education reform.

Profile: Google Scholar | ORCID

Featured Publications

Narimani, A. R., & Vaezi, R. (2017). Identify factors to the commercialization of research in knowledge of public administration. Journal of Public Administration, 9(2), 235–262.

Narimani, A. R., Vaezi, R., Alvani, S. M., & Ghorbanizadeh, V. (2017). Identifying external organizational barriers and factors of commercialization of humanities research at universities. Management and Development Process, 30(1), 81–110.

Narimani, A. R., Eslampanah, M., Sabaghi, M., & Tajamoliyan, A. (2015). Fundamental strategy for the development of the relationship between industry and university. Quarterly Review of Development Strategy, 43, 161–180.

Narimani, A. R. (2024). A multidimensional approach to enhancing HSE systems in university laboratories: A case study from the Faculty of Chemistry, University of Tehran. Journal of Safety, Health, and Environment Research.

Narimani, A. R., & Omidifar, R. (2024). Educational policies in skill enhancement and career guidance: A comparative approach of German and Japanese graduates. Rahyaft, 34(2), 23–38.*

Dr. Amirreza Narimani’s research advances the commercialization of university knowledge and the governance of innovation systems, bridging academia, industry, and public policy. His work fosters evidence-based strategies for sustainable development, enhances science–society collaboration, and strengthens the role of universities in national and global innovation ecosystems.

Emile Segbegnon Sonehekpon | Quantitative Economics | Young Scientist Award

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Dr. Emile Segbegnon Sonehekpon | Quantitative Economics | Young Scientist Award

Researcher | Ecole Nationale Superieure de Statistique et d’Economie Appliquee | Benin

Dr. Emile Sègbégnon Sonehekpon is an Economist and Policy Analyst specializing in quantitative and applied economics, with expertise in financial stability, agricultural credit markets, and development policy in Sub-Saharan Africa. He earned his Ph.D. in Quantitative Economics from the National School of Statistics and Applied Economics (ENSEA), Abidjan, in 2024, where his dissertation focused on “Accessing Farm Credit Market: The Role of Asymmetry and Information Sharing.” His research employs advanced econometric and statistical modeling to analyze issues related to banking risk, information asymmetry, financial inclusion, and poverty reduction. Dr. Sonehekpon has published in several peer-reviewed journals, including the Journal of Financial Economic Policy, Agricultural Finance Review, and the Revue Économique et Monétaire, and he is currently developing multiple papers on artificial intelligence in banking, credit market segmentation, and renewable energy financing. He has presented his work at major international conferences such as the Canadian Society for Economic Science Congress (2022) and the Atlantic Canada Economic Association Conference (2023), and has received specialized training in risk modeling and impact evaluation from Université Laval and the J-PAL Laboratory (MIT network). Professionally, he has served as a Research Assistant at the National Institute of Agricultural Research of Benin (INRAB) and as a Teaching Assistant at the University of Abomey-Calavi, contributing to both research and academic instruction. His collaborations with institutions such as Moncton University, the World Bank, and WAEMU research networks reflect his commitment to promoting evidence-based policymaking. Fluent in French and English, Dr. Sonehekpon’s scholarly and professional contributions aim to enhance inclusive economic growth through the integration of empirical analysis and policy innovation in Africa.

Profile: Scopus 

Featured Publications

Sonehekpon, E. S. (2024). Heterogeneity effect of prudential regulation on the stability of banks: Evidence from WAEMU banks using quantile regression with fixed effects. Journal of Financial Economic Policy.

Dr. Emile S. Sonehekpon’s research advances evidence-based economic policymaking by integrating quantitative modeling with real-world development challenges. His work strengthens financial stability, promotes inclusive access to credit, and supports sustainable growth across developing economies through data-driven insights and policy innovation.

Shougui Zhang | Computational mathematics | Best Researcher Award

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Prof. Dr. Shougui Zhang | Computational mathematics | Best Researcher Award

Teacher| Chongqing Normal Univercity | China

Dr. Xin Li is an accomplished scholar and educator specializing in clinical medicine and sports health sciences, currently serving as an Associate Professor at Tianjin Normal University since 2006. She obtained her Doctor of Medicine (MD) in Clinical Medicine from Tianjin Medical University in July 2006. Over nearly two decades of academic and research experience, Dr. Li has established herself as a leading expert at the intersection of clinical medicine, exercise science, and health management. Her teaching portfolio encompasses a range of courses in sports health, exercise rehabilitation, and health management, with a focus on integrating clinical case studies into theoretical instruction to enhance students’ practical competencies and professional insight. Dr. Li’s research primarily addresses exercise interventions for chronic diseases, sports injury prevention, and rehabilitation science, contributing to the growing evidence base linking physical activity with disease prevention and functional recovery. She has led and participated in numerous provincial and municipal research projects, achieving notable outcomes that have advanced the application of medical principles in sports health practice. To date, Dr. Li has published over ten academic papers in peer-reviewed core journals and international conferences, several of which have been widely cited and recognized within the academic community for their methodological rigor and clinical relevance. Her collaborative approach bridges disciplines such as physiology, public health, and kinesiology, fostering innovation and interdisciplinary integration in sports medicine research. Beyond academia, Dr. Li’s work holds significant societal impact, promoting the scientific development of exercise-based health strategies for chronic disease management and population well-being. Combining solid clinical expertise, pedagogical excellence, and a strong research record, Dr. Xin Li continues to contribute meaningfully to the advancement of sports health education and evidence-based medical practice in China and beyond.

Profile: Scopus | ORCID

Featured Publications

Zhang, S. (2025). A self-adaptive alternating direction multiplier method for variational inequality in two domains. Applied Mathematics and Mechanics.

Zhang, S., & Coauthors. (2025). Analysis of a Crank–Nicolson fast element-free Galerkin method for the nonlinear complex Ginzburg–Landau equation. Journal of Computational and Applied Mathematics.

Zhang, S. (2024). Self-adaptive alternating direction method of multiplier for a fourth order variational inequality. Journal of Inequalities and Applications.

Professor Shougui Zhang’s research advances the development of efficient computational methods for complex variational inequalities and partial differential equations, strengthening the mathematical foundation for modern engineering, physics, and optimization problems. His work enhances scientific computing capabilities, supporting innovation in technology, modeling, and data-driven decision-making across academic and industrial domains worldwide.

Xin Li | Sports Medicine | Best Researcher Award

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Assoc. Prof. Dr. Xin Li | Sports Medicine | Best Researcher Award

Associate Professor| Tianjin Normal University | China

Dr. Xin Li is an accomplished scholar and educator specializing in clinical medicine and sports health sciences, currently serving as an Associate Professor at Tianjin Normal University since 2006. She obtained her Doctor of Medicine (MD) in Clinical Medicine from Tianjin Medical University in July 2006. Over nearly two decades of academic and research experience, Dr. Li has established herself as a leading expert at the intersection of clinical medicine, exercise science, and health management. Her teaching portfolio encompasses a range of courses in sports health, exercise rehabilitation, and health management, with a focus on integrating clinical case studies into theoretical instruction to enhance students’ practical competencies and professional insight. Dr. Li’s research primarily addresses exercise interventions for chronic diseases, sports injury prevention, and rehabilitation science, contributing to the growing evidence base linking physical activity with disease prevention and functional recovery. She has led and participated in numerous provincial and municipal research projects, achieving notable outcomes that have advanced the application of medical principles in sports health practice. To date, Dr. Li has published over ten academic papers in peer-reviewed core journals and international conferences, several of which have been widely cited and recognized within the academic community for their methodological rigor and clinical relevance. Her collaborative approach bridges disciplines such as physiology, public health, and kinesiology, fostering innovation and interdisciplinary integration in sports medicine research. Beyond academia, Dr. Li’s work holds significant societal impact, promoting the scientific development of exercise-based health strategies for chronic disease management and population well-being. Combining solid clinical expertise, pedagogical excellence, and a strong research record, Dr. Xin Li continues to contribute meaningfully to the advancement of sports health education and evidence-based medical practice in China and beyond.

Profile: Scopus 

Featured Publications

Li, X. (2025). The influence of initial and final character positional probabilities on the flexibility of position coding in two-character word identification. Acta Psychologica Sinica.

Dr. Xin Li’s work bridges clinical medicine and sports science, advancing evidence-based approaches to exercise intervention, chronic disease prevention, and rehabilitation. Her research and teaching contribute to improving public health outcomes and enhancing human performance, promoting global innovation in integrated medical and sports health education.