Mr. Diankai Kong | Trajectory Tracking | Research Excellence Award

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Mr. Diankai Kong | Trajectory Tracking | Research Excellence Award

Taiyuan University of Science and Technology | China

Mr. Kong Diankai is an emerging mechanical engineering researcher with a strong focus on intelligent equipment, crane systems, and advanced control technologies. His research centers on load trajectory tracking, anti-sway control, and dynamic modeling of lifting machinery, integrating nonlinear dynamics, model predictive control, and simulation-driven validation. He has contributed to intelligent vehicle systems, precision material handling robots, and experimental platforms for crane load control and conveyor friction analysis. His work bridges theory and application through simulation, experimental verification, and system integration using computational tools. With experience in automation, mechanical design, and control systems, his research demonstrates strong potential for innovation in intelligent lifting equipment, smart mechanical systems, and industrial automation applications.

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Assoc. Prof. Dr. Xiaomeng Chu | Mechanical Transmission | Research Excellence Award

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Assoc. Prof. Dr. Xiaomeng Chu | Mechanical Transmission | Research Excellence Award

Associate Professor | Liaoning University of Technology | China

Assoc. Prof. Dr. Xiaomeng Chu is a researcher in mechanical engineering specializing in advanced transmission systems, precision machining of complex gear surfaces, and intelligent manufacturing technologies. His research focuses on innovative face gear and internal gear design, friction and lubrication mechanisms, thermal and contact behavior in high speed transmissions, and bionic inspired intelligent transmission systems. He has made notable contributions to gear surface conjugate theory, machining methods, lubrication modeling, and intelligent detection and optimization techniques. His work bridges theoretical modeling and practical engineering applications, supporting high efficiency, reliability, and sustainability in modern mechanical systems, intelligent equipment, and advanced manufacturing processes.

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Dr. Jia Liu | Flight Stability | Research Excellence Award

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Dr. Jia Liu | Flight Stability | Research Excellence Award

Senior Engineer | China Academy of Civil Aviation Science and Technology | China

Dr. Jia Liu is a senior engineer at the China Academy of Civil Aviation Science and Technology, Beijing, specializing in airport aerodynamics, CFD-based wind field analysis, UAV stability, and green operation technologies for complex airport environments. With extensive experience across 6 nationally funded and ministerial-level research projects, Jia Liu has contributed to advancing safety assessment, airport compatibility systems, and low-altitude wind environment modeling for both conventional and future intelligent aircraft. The research output includes 5 scholarly documents comprising 1 international journal article and 4 peer-reviewed conference papers, with a current citation count of 1 and an h-index of 1, reflecting emerging but focused scholarly impact in a highly specialized domain. Proficient in ANSYS Fluent and advanced numerical simulation, Jia Liu demonstrates strong integration of theory, modeling, and applied aviation safety research.


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Melek Gul | Decision Sciences | Most Cited Article Award

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Prof. Dr. Melek Gul | Decision Sciences | Most Cited Article Award

Professor | Amasya University | Turkey

Prof. Melek Gül is a professor of organic chemistry whose research integrates synthetic organic chemistry with medicinal chemistry, computational modeling, and advanced materials science. Her work focuses on the design and synthesis of heterocyclic and bioactive compounds with applications in anticancer therapy, antioxidant systems, and drug resistance modulation, supported by molecular docking and density functional theory studies. She has made significant contributions to optoelectronic and organic electronic materials, including charge transport systems and solar cell applications, alongside green chemistry approaches and natural product research. Her interdisciplinary scholarship bridges chemistry, biology, and materials science, demonstrating strong scientific leadership and sustained impact across pharmaceutical and functional material research domains.

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Marta Wiśniewska | Statistical Analysis | Research Excellence Award

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Dr. Marta Wiśniewska | Statistical Analysis | Research Excellence Award

Warsaw University of Technology | Poland

Dr. inż. Marta Wiśniewska is a researcher in environmental engineering specializing in odour emissions, air quality protection, waste management, and sustainable urban environments. Her research addresses the identification, characterization, and mitigation of odour nuisance from municipal waste treatment systems, biogas plants, and urban infrastructure. She integrates field olfactometry, chemical sensor technologies, in situ measurements, and questionnaire-based social impact assessments to evaluate environmental comfort and public health implications. Her work contributes to circular economy strategies, environmental monitoring methodologies, and evidence-based decision support for urban and industrial systems. Her scholarly output demonstrates strong interdisciplinary relevance and impact in environmental protection research.

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Nannan Zhang | Artificial Intelligence | Research Excellence Award

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Mrs. Nannan Zhang | Artificial Intelligence | Research Excellence Award

Senior Engineer | Research Institute of Petroleum Exploration & Development | China

Mrs. Nannan Zhang is a senior engineer and researcher specializing in petroleum remote sensing and environmental monitoring using advanced geospatial technologies. Her research focuses on applying high-resolution satellite imagery, deep learning, and data fusion techniques to support oil and gas infrastructure detection, environmental impact assessment, and ecological protection. She has led multiple applied research initiatives that bridge scientific innovation with industrial needs, contributing significantly to the practical deployment of remote sensing in energy and environmental fields. Her scholarly work is published in internationally recognized journals and conferences, complemented by patented technologies and a research monograph. She is also actively engaged in advancing professional collaboration within the remote sensing research community.

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Srinidhi Arulselvan | Applied Mathematics | Research Excellence Award

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Ms. Srinidhi Arulselvan | Applied Mathematics | Research Excellence Award

Alagappa University | India

Mr. Srinidhi Arulselvan is a researcher in applied mathematics with a strong focus on control systems, dynamical systems, and vehicle suspension dynamics. Her work centers on stability analysis, vibration control, descriptor systems, and fault-tolerant control strategies for complex mechanical and cyber-physical systems. She has contributed to high-quality research on active and semi-active vehicle suspensions, sampled-data control, disturbance rejection, and secure control under network-induced constraints. Her studies integrate rigorous mathematical modeling with practical engineering applications, addressing challenges in reliability, safety, and performance of modern transportation systems. Her research demonstrates strong interdisciplinary relevance across control theory, automation, and applied mathematical physics.

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Cornelia-Aurora Győrödi | Artificial Intelligence | Research Excellence Award

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Prof. Dr. Cornelia-Aurora Győrödi | Artificial Intelligence | Research Excellence Award

Professor | University of Oradea | Romania

Prof. Dr. Győrödi Cornelia Aurora is an accomplished researcher in computer science and information technology, specializing in databases, big data management, cloud computing, data mining, web mining, expert systems, and artificial intelligence applications for decision support. Her work focuses on optimizing SQL and NoSQL systems, enhancing cloud database security, and leveraging AI and machine learning for large-scale data analysis. She has contributed extensively to international research projects, authored numerous peer-reviewed publications, and serves as a reviewer and editor for leading journals and conferences. Her expertise positions her as a prominent candidate for recognition in computing, IT innovation, and data-driven research excellence.

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Pinar Kocabey Ciftci | Decision Support System | Research Excellence Award

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Assist. Prof. Dr. Pinar Kocabey Ciftci | Decision Support System | Research Excellence Award

Gaziantep University | Turkey

Assist. Prof. Dr. Pınar Kocabey Çiftçi is an academic researcher specializing in decision support systems, sustainability assessment, and data-driven policy analysis for socio-technical systems. Her research integrates simulation modeling, fuzzy cognitive maps, and advanced decision-making frameworks to address corporate carbon footprint management, green supply chains, and sustainable development strategies. She has contributed impactful studies published in internationally recognized journals spanning sustainability science, climate policy, business process management, and computational intelligence. Her work bridges theory and practice by translating complex analytical models into actionable tools for industrial sustainability, green transformation, and evidence-based management. Her research profile reflects strong interdisciplinary impact across engineering, sustainability, and applied systems science.

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Dr. Yue Meng | Signal Processing | Research Excellence Award

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Dr. Yue Meng | Signal Processing | Research Excellence Award

Nanjing University of Information Science and Technology | China

Dr. Yue Meng is a wireless communication researcher specializing in massive MIMO technology, frequency synchronization, and RF impairment compensation. Their work focuses on developing advanced algorithms for OFDM systems to enhance signal integrity and energy efficiency, particularly under practical impairments such as I/Q imbalance and carrier frequency offsets. Meng has contributed to multiple high-impact publications in IEEE journals and conferences, demonstrating expertise in blind estimation techniques and cognitive radio-inspired nonorthogonal multiple access systems. Their research integrates theoretical analysis with practical implementation, advancing reliable and efficient wireless communication technologies. Meng’s contributions position them strongly for recognition in early-career research and wireless communication innovation.

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Featured Publications


Analyzing the Effectiveness of Carbon Pricing Instruments in Reducing Carbon Emissions in Major Asian Economies
Sustainability, 2024

A Canonical Correlation Analysis on the Relation of ESG and Business Environment in South China
Sustainable Futures, 2025

Adaptive Fourier Decomposition Analysis of Different Pandemic Stages in South Korean Cities: Policies and Trends
Journal of Thoracic Disease, 2025

Cost-Effectiveness of Risk Model–Based Lung Cancer Screening in Smokers and Nonsmokers in China
BMC Medicine, 2025

Predicting COVID-19 Vaccination Timing Using the Theory of Planned Behavior and Diffusion of Innovations
Journal of Thoracic Disease, 2025