Xu Liu | Arts and Humanities | Research Excellence Award

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Mr. Xu Liu | Arts and Humanities | Research Excellence Award

Associate Language Lecturer | Xi’an Jiaotong-Liverpool University | China

Dr. Xu Jared Liu is a researcher at Xi’an Jiaotong-Liverpool University, Suzhou, China, specializing in applied linguistics and educational technology. His research focuses on AI-driven language assessment, investigating score accuracy, perceived validity, and the enhancement of oral peer feedback in academic settings. He has authored one peer-reviewed publication, which has been cited six times, demonstrating the relevance and impact of his work. Dr. Liu collaborates with international scholars, advancing innovative methodologies for evaluating language proficiency. His contributions support evidence-based educational practices, promote effective integration of AI in language learning, and inform global approaches to enhancing academic communication and assessment.

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Takeshi Nikawa | Biochemistry | Research Excellence Award

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Prof. Dr. Takeshi Nikawa | Biochemistry | Research Excellence Award

Tokushima University Graduate School | Japan

Prof. Dr. Takeshi Nikawa is a distinguished researcher at Tokushima University, Japan, with expertise in skeletal muscle physiology, molecular biology, and nutritional interventions. His research explores the mechanisms underlying muscle atrophy, mitochondrial function, and gene regulation during myogenesis, aiming to understand how these processes impact aging, metabolism, and overall health. Nikawa’s work integrates experimental studies with translational approaches to develop strategies for maintaining muscle mass and function, particularly in aging populations or individuals at risk of muscle degeneration. He actively collaborates with international scientists across multiple disciplines, fostering knowledge exchange and advancing global research initiatives. Through his publications and applied studies, Nikawa contributes to both fundamental scientific understanding and practical interventions, supporting the development of therapeutic, nutritional, and lifestyle strategies that enhance quality of life and address key societal challenges related to health and aging.

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Eui-Kyeong Kim | Biological Sciences | Research Excellence Award

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Dr. Eui-Kyeong Kim | Biological Sciences | Research Excellence Award

Research Fellow | Korea National Park Research Institute | South Korea

Dr. Kim Eui-kyeong is a researcher at the Korea National Park Research Institute in Wonju, South Korea, specializing in biological conservation, macrofungal diversity, and ecological monitoring. His work focuses on documenting and preserving fungal species in protected environments, contributing critical data to national biodiversity resources. Kim has collaborated with over twenty co-authors across multidisciplinary projects in mycology, environmental biology, and conservation science. His research on unrecorded macrofungal species provides valuable insights into the diversity and structure of Korea’s fungal ecosystems. Through species assessments, ecological analysis, and evidence-based conservation strategies, he supports sustainable management of national parks and promotes long-term ecological protection and biodiversity awareness. Kim remains committed to advancing scientific understanding and fostering ecological stewardship across communities.

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Izhar Ahmed | Engineering | Research Excellence Award

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Mr. Izhar Ahmed | Engineering | Research Excellence Award

Institute of geology and Geophysics, CAS | China

Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.

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Yong Xu | Engineering | Research Excellence Award

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Mr. Yong Xu | Engineering | Research Excellence Award

Associate Researcher | Aerospace Technology Institute of CARDC | China

Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.

Profile: ORCID

Featured Publications

1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI

2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251

Sarbajit Paul Bappy | Computer Science | Research Excellence Award

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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

Yangyang Hu | Agricultural | Innovative Research Award

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Dr. Yangyang Hu | Agricultural | Innovative Research Award

Ningbo University | China

Dr. Yangyang Hu is a researcher at Ningbo University, China, specializing in food chemistry, food processing technology, and innovative strategies for enhancing the nutritional quality, safety, and sensory characteristics of meat-based food products. With a growing academic profile supported by 21 publications, 185 citations, and an h-index of 7, he has established himself as an emerging scholar in the field of functional ingredient development and health-oriented food design. Dr. Hu’s work integrates material science, protein chemistry, and molecular interaction analysis to develop advanced solutions for sodium reduction, texture improvement, and flavor optimization. His recent studies, including the preparation and characterization of quaternized chitosan-based hollow salt for sodium reduction in air-dried duck and the dual enhancement of texture and salty perception in reconstructed duck ham using myofibrillar protein–gum Arabic complexes, reflect his commitment to creating healthier meat products aligned with global nutrition priorities and public health needs. Through collaborations with over 33 co-authors, Dr. Hu has contributed to multidisciplinary research that bridges academia and industry, addressing challenges in clean-label product development, functional additive innovation, and consumer-driven food formulation. His work supports improved dietary practices, reduced sodium intake, and more sustainable food processing systems, offering significant societal impact in regions where high-sodium diets are prevalent. By combining scientific rigor with practical application, Dr. Hu continues to advance the field of food science, contributing to innovations that promote better health outcomes, enhance food quality, and foster technological progress across the global food industry.

Profile: Scopus

Featured Publications

Shi, Z., Hu, Y., Zhou, C., & Pan, D. (2025). Preparation and characterisation of novel quaternized chitosan‑based hollow salt and its sodium‑reducing effect in air‑dried ducks. Food Chemistry. Advance online publication. https://doi.org/10.1016/j.foodchem.2025.146799  PubMed+2ScienceDirect+2

Wei, H., Zeng, X., Sun, Y., Zhou, C., Xia, Q., Wu, Z., Yan, H., Hu, Y., & Pan, D. (2025). Dual strengthen of texture and salty perception for reconstructed duck ham via myofibrillar protein–gum Arabic complex. Food Chemistry X, 31, 103200. https://doi.org/10.1016/j.fochx.2025.103200

Jia Jinlong | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopus 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Dongzhi Chen | Business | Research Excellence Award

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Assoc. Prof. Dr. Dongzhi Chen | Business | Research Excellence Award

Associate Professor | Tianjin University of Finance and Economics | China

Dr. Dongzhi Chen is a researcher at the China Tourism Academy / Data Center of the Ministry of Culture and Tourism, Beijing, specializing in tourism analytics, digital platforms, and consumer behavior within the hospitality sector. His research focuses on peer-to-peer accommodation, platform-based trust mechanisms, and the evolving dynamics of traveler–host interactions. Dr. Chen has produced 11 scholarly publications, which have collectively earned 146 citations and an h-index of 6, demonstrating both his academic productivity and the rising impact of his work. His recent article, “Hosts’ Facial Affinity in Peer-to-Peer Platforms: Scale Development and Validation”, reflects his expertise in developing behavioral scales, applying robust empirical methods, and exploring nuanced dimensions of digital hospitality engagement. Over the course of his research career, Dr. Chen has collaborated with 19 co-authors, contributing to multidisciplinary studies that address tourism experience quality, service personalization, consumer perception modeling, and data-driven strategic planning. His research has been cited in studies related to digital consumer psychology, platform governance, tourism marketing, and service innovation, underscoring its relevance to both industry practitioners and academic scholars. Dr. Chen’s work also plays an important societal and policy role by offering evidence-based insights that enhance cultural tourism development, inform government decision-making, and support the sustainable growth of China’s tourism ecosystem. With a strong commitment to methodological rigor and applied research, he aims to advance the global understanding of tourism behavior while promoting innovative approaches that improve service standards, strengthen the competitiveness of tourism industries, and contribute positively to the broader field of hospitality and tourism management.

Profiles: Scopus | ORCID

Featured Publications

Chen, D., Zhang, W., Lian, M., Ma, P., & Xu, J. (2025). Hosts’ facial affinity in peer‑to‑peer platforms: Scale development and validation. Journal of Hospitality and Tourism Management. Advance online publication. https://doi.org/10.1016/j.jhtm.2025.101339 

Chen, D., Zhang, W., Bi, J.-W., Qiu, H., & Lyu, J. (2024). Hosts’ online affinities and their impacts on the number of online reviews on peer-to-peer platforms. Tourism Management, 100, 104817. https://doi.org/10.1016/j.tourman.2023.104817 ScienceDirect+1

Qiu, H., Chen, D., Yang, J., Zhang, K., & Liu, T. (2024). Tourism collaboration evaluation and research directions. Tourism Recreation Research, 49(2), 431–438. https://doi.org/10.1080/02508281.2021.2023838 Taylor & Francis Online+1

Chen, D., & Bi, J.-W. (2022). Cue congruence effects of attribute performance and hosts’ service quality attributes on room sales on peer-to-peer accommodation platforms. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-10-2021-1275 ResearchGate+1

Qiu, H., Chen, D., Lyu, J., He, H., & Li, C. (2021). Affinity-seeking strategies of homestay hosts: Scale development and validation. Journal of Hospitality and Tourism Management. https://doi.org/10.1016/j.jhtm.2021.09.008

Sümeyye Sınır | Engineering | Research Excellence Award

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Dr. Sümeyye Sınır | Engineering | Research Excellence Award

Lecturer | İzmir Katip Çelebi University | Turkey

Dr. Sümeyye Sınır is a researcher at İzmir Kâtip Çelebi University in Izmir, Turkey, specializing in applied mechanics, nonlinear systems, and fractional calculus, with a focus on developing innovative mathematical and computational methods for analyzing complex dynamical behaviors. She has authored 3 peer-reviewed publications, which have collectively received 63 citations, and holds an h-index of 2, reflecting her emerging influence in the field of applied mechanics and nonlinear dynamics. Among her notable contributions is the development of a general solution procedure for nonlinear single-degree-of-freedom systems incorporating fractional derivatives, providing critical insights for engineering applications, physics modeling, and mechanical system simulations. Dr. Sınır actively collaborates with colleagues across mathematics, engineering, and computational mechanics, demonstrating a commitment to interdisciplinary research and advancing methodologies that bridge theoretical developments with practical applications. Her work enhances the understanding and prediction of complex nonlinear behaviors, supporting innovations in structural engineering, robotics, energy systems, and other technologically relevant domains. Through her research, she contributes to improved simulation accuracy, efficient system design, and the development of tools that address real-world engineering challenges, translating theoretical insights into tangible societal benefits. Committed to scientific rigor, innovation, and collaboration, Dr. Sınır continues to expand her research portfolio, strengthen academic partnerships, and advance methodologies in nonlinear mechanics, promoting both the theoretical foundation and applied solutions in engineering and physics, while fostering technological progress and contributing to the broader scientific community through impactful research and interdisciplinary engagement.

Profiles: Google Scholar | Scopus | ResearchGate

Featured Publications

1. Sınır, S., Çevik, M., & Sınır, B. G. (2018). Nonlinear free and forced vibration analyses of axially functionally graded Euler-Bernoulli beams with non-uniform cross-section. Composites Part B: Engineering, 148, 123–131. (Cited by 76)

2. Sınır, S., Yıldız, B., & Sınır, B. G. (2021). Approximate solutions of nonlinear pendulum with fractional damping. In 5th International Students Science Congress Proceedings Book (p. 295). (Cited by 3)

3. Sınır, S., & Çevik, M. (2013). Taylor matrix solution of Euler-Bernoulli beam equation subjected to static loads. In Proceedings of the Fourth International Conference on Mathematical and …. (Cited by 3)

4. Sınır, S., Yıldız, B., & Sınır, B. G. (2025). A general solution procedure for nonlinear single degree of freedom systems including fractional derivatives. International Journal of Non-Linear Mechanics, 169, 104966. (Cited by 2)

5. Küzün, D., Yıldız, B., & Sınır, S. (2023). Euler-Bernoulli beam with fractional viscoelastic boundary conditions. 18. UBAK Kongresi. (Cited by 1)