Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

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Dr. Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

University of Insubria | Italy

Dr. Khaoula Hidawi is a researcher specializing in secure and trustworthy unmanned aerial vehicle (UAV) systems, with a focus on trust management, cybersecurity, and data-driven intelligence in urban and cyber-physical environments. She has authored 3 scholarly documents, received 1 citation, and currently holds an h-index of 1, reflecting emerging impact in a highly technical research domain. Her work spans UAV cooperation, path planning, regulatory compliance, and resilience against adversarial threats such as signal jamming, GPS spoofing, and network vulnerabilities. She is the lead author of “AeroTrust-5D: A Five-Dimensional Trust Management System for Optimizing UAV Cooperation and Path Planning in Urban Areas,” published in IEEE Transactions on Vehicular Technology. Her research has also appeared in IEEE Transactions on Big Data and ACM security workshops, with additional manuscripts accepted or under review in leading IEEE and Elsevier journals, contributing to the advancement of secure, intelligent UAV and FANET systems.

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Meihui Li | Information Entropy | Excellence in Research Award

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Dr. Meihui Li | Information Entropy | Excellence in Research Award

Yanshan University | China

Dr. Meihui Li is an interdisciplinary researcher whose work bridges music psychology, music therapy, neurorehabilitation, and human–machine interaction, with a strong emphasis on evidence-based intervention and experimental methods. With 7 published documents, 11 citations, and an h-index of 2, her research spans systematic reviews, psychophysiological experiments, and biomimetic design. She has contributed to high-impact journals including Biomimetics, Frontiers in Psychology, Frontiers in Neurology, and PLOS ONE (SCI/SSCI Q1–Q2), covering topics such as piano music therapy for stroke rehabilitation, prosocial music cognition using ERP, sleep-related music therapy, and psychometric assessment in music populations. Her work also advances wearable and robotic exoskeleton systems for piano practice through multi-domain mapping and top-down process models. Dr. Li is a registered PROSPERO systematic reviewer and completed a doctoral dissertation focused on deliberate-practice-based teaching models in music education, highlighting motivation and performance state optimization.

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Featured Publications

The Impact of Songs with Prosocial Lyrics on Implicit Cognition and Prosocial Behavior:
An Event-Related Brain Potentials Study
– Frontiers in Psychology (SSCI Q1), 2025 | Second Author

Meta-Narrative Review: The Impact of Music Therapy on Sleep and Future Research Directions
– Frontiers in Neurology (SCI Q2), 2024 | Co–First Author

Haowei Duan | Random Graph Models and Network Generative Models | Excellence in Research Award

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Mr. Haowei Duan | Random Graph Models and Network Generative Models | Excellence in Research Award

Shandong Normal University | China

Mr. Haowei Duan is a researcher whose work focuses on urban networks and the functional networks of urban agglomerations, with particular attention to the spatial organization and interactions of cities in China. His research integrates urban geography, complex systems, and network science to examine how population mobility shapes urban network structures and regional development patterns. By leveraging large-scale mobility data and quantitative modeling approaches, he seeks to uncover the mechanisms driving intercity connectivity, functional specialization, and spatial coordination within urban agglomerations. Mr. Duan is the author of the journal article “Modeling China’s Urban Network Structure: Unraveling the Drivers from a Population Mobility Perspective,” published in Systems. His work contributes to a deeper understanding of urban systems and provides empirical insights relevant to urban planning, regional policy, and sustainable metropolitan development.

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Daxue Fu | Electrochemical Preparation of Al-Sc Alloys | Excellence in Research Award

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Assoc. Prof. Dr. Daxue Fu | Electrochemical Preparation of Al-Sc Alloys | Excellence in Research Award

Northeastern University | China

Assoc. Prof. Dr. Daxue Fu’s research focuses on advanced metallurgical processes, electrochemical energy systems, and catalytic materials for sustainable resource utilization. With 65 published documents, the body of work has received 382 citations from 223 citing sources, achieving an h-index of 13, reflecting consistent academic impact. The research spans CO₂ conversion and methanation catalysis, molten-salt electrochemistry, hydrogen energy materials, and green metallurgy, with particular emphasis on magnesium production, nonferrous metal extraction, and carbon-based functional materials. Key contributions include gradient-engineered catalysts, membrane electrolysis for metal recovery, electrolytic regeneration of absorbents, and process optimization for industrial metallurgical systems. Publications in Applied Surface Science, Metallurgical and Materials Transactions B, International Journal of Hydrogen Energy, Journal of Cleaner Production, Green Chemistry, and Journal of Alloys and Compounds highlight interdisciplinary advances linking materials science, chemical engineering, and low-carbon technologies, supporting efficient energy conversion, cleaner production, and sustainable industrial processes.

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Thermodynamic and kinetic behavior of advanced metallurgical processes
– Metallurgical and Materials Transactions B, 2025
Electrochemical formation and characterization of Ni–Sc intermetallic compounds in molten salts
– Journal of Alloys and Compounds, 2024

Factors affecting reduction efficiency in industrial retorts for magnesium production
– Transactions of Nonferrous Metals Society of China, 2024

Zhigang Lu | Supply Chain Network | Outstanding Scientist Award

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Prof. Zhigang Lu | Supply Chain Network | Outstanding Scientist Award

Shanghai Maritime University | China

Prof. Zhigang Lu’s research centers on supply chain networks, complex systems modeling, and intelligent optimization methods, with a strong emphasis on network resilience, partner selection, and information diffusion. The scholarly output comprises 8 indexed documents that have attracted 43 citations from 43 citing works, resulting in an h-index of 4, indicating consistent academic influence. The research portfolio integrates agent-based modeling, multi-objective optimization, community detection, and link prediction to address challenges in electric vehicle supply chains, seaport–dry port networks, carbon-aware logistics, and enterprise cooperation networks. Published in reputable journals such as Expert Systems with Applications, Computers & Industrial Engineering, Systems, Kybernetes, and International Journal of Computational Intelligence Systems, the work advances understanding of cascade failure dynamics, knowledge diffusion, reputation-based decision-making, and hybrid intelligent algorithms. Collectively, these contributions provide robust analytical frameworks and computational methods for enhancing efficiency, resilience, and sustainability in modern supply chain and networked economic systems.

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A gravitation-based hierarchical community detection algorithm for structuring supply chain networks
– International Journal of Computational Intelligence Systems, 2023

Xiali Li | Computer Science | Excellence in Academic Research

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Prof. Xiali Li | Computer Science | Excellence in Academic Research Award

Minzu University of China | China

Prof. Xiali Li’s research centers on artificial intelligence, reinforcement learning, deep neural networks, and intelligent game systems, with a strong emphasis on low-resource and culturally specific board games. The scholarly record comprises 72 documents, accumulating 500 citations across 457 citing documents, with an h-index of 11, reflecting sustained academic impact. The work spans advanced reinforcement learning frameworks, transformer-based architectures, residual and LSTM-integrated models, and lightweight computer vision networks. A significant contribution lies in AI-driven modeling of Mahjong and Tibetan Jiu chess, including hierarchical decision-making, human-knowledge–enhanced reinforcement learning, and efficient data collection using improved YOLO models. Publications in high-impact journals such as Engineering Applications of Artificial Intelligence, Frontiers of Information Technology & Electronic Engineering, Tsinghua Science and Technology, and CAAI Transactions on Intelligence Technology demonstrate both methodological innovation and practical relevance, advancing intelligent systems for complex decision-making and game AI research.

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Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

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Dr. Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

Ocean University of China | China

Dr. Guangyue Gao’s research portfolio reflects a focused contribution to maritime economics, transport networks, and marine policy analysis, with particular emphasis on fairness–efficiency dynamics across regional scales. The scholarly record comprises 5 documents, which have received 3 citations, resulting in an h-index of 1. Core research outputs apply advanced network science and game-theoretic perspectives to global maritime transport systems, especially energy trade corridors. A notable award-winning study develops multi-layer network models of global maritime LPG trade using CEPII data and AIS big data, integrating supply–demand dynamics, maritime transport infrastructure, and relational trade structures. The work identifies dual-core structures led by major economies, highlights the strategic centrality of key maritime hubs, and reveals structural disparities and stability hierarchies across network dimensions. Overall, this research advances empirical understanding of global maritime energy trade, network robustness, and policy-relevant insights into marine economic systems and transport resilience.

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Md Shafiul Islam | Economics | Research Excellence Award

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Mr. Md Shafiul Islam | Economics | Research Excellence Award

Rebing Tech | Bangladesh

Mr. Md Shafiul Islam is an emerging researcher working at the intersection of financial technology, blockchain systems, and sustainable economic development. His scholarly output includes 2 peer-reviewed documents, which have received 4 citations from 4 citing documents, resulting in an h-index of 2. His research contributions focus on the application of advanced digital technologies to financial systems and resource management. Notably, his work on blockchain applications in FinTech provides a systematic mapping of key domains, offering structured insights into transparency, security, and efficiency in digital finance. In parallel, his research on financial technology and sustainable financing explores how innovative financial tools can support small-scale natural resource management and inclusive economic growth. Through interdisciplinary approaches combining technology, finance, and sustainability, his research addresses practical challenges in modern financial ecosystems and contributes to the evolving discourse on digital transformation and sustainable development.

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Reza Eslami | Power Systems | Best Faculty Award

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Dr. Reza Eslami | Power Systems | Best Faculty Award

Sahand University of Technology | Iran

Dr. Reza Eslami is a researcher in electrical power and energy systems with a strong focus on smart grids, microgrids, renewable energy integration, and advanced energy management strategies. His scholarly output includes 13 published documents, which have received 95 citations from 82 citing documents, resulting in an h-index of 7, reflecting consistent research impact in power system engineering. His work addresses key challenges such as demand response, load shedding, voltage and frequency stability, electric vehicle integration, energy storage management, and cyber-secure optimization of AC/DC microgrids. He has contributed to peer-reviewed journals and international conferences, including Electric Power Systems Research and smart grid conference series. His research combines optimization algorithms, intelligent control methods, and uncertainty modeling to improve reliability, economic performance, and sustainability of modern power networks, supporting the transition toward resilient, low-carbon, and intelligent energy systems.

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Mingchuan Li | Thermal Science and Technology | Research Excellence Award

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Dr. Mingchuan Li | Thermal Science and Technology | Research Excellence Award

China University of Petroleum | China

Dr. Mingchuan Li is a researcher in energy and environmental engineering with a strong focus on mathematical modeling of natural gas hydrate dissociation and heat–mass transfer processes. His scholarly output comprises 10 published documents, which have received 85 citations from 70 citing documents, resulting in an h-index of 5, indicating steady research impact within this specialized field. His work emphasizes analytical and radial mathematical models that incorporate moving Stefan boundaries to describe hot-water and heat-induced dissociation mechanisms of gas hydrates. These models contribute to improved understanding of hydrate behavior under thermal stimulation, with relevance to energy recovery, flow assurance, and hydrate management. His publications appear in recognized international journals and conference proceedings, including Energy and engineering conference series, addressing kinetics, dissociation fronts, and coupled heat–mass transfer phenomena. Overall, his research advances theoretical frameworks for hydrate dissociation processes and supports the development of more accurate predictive tools for energy and environmental applications.

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