Jiyoun Song | Technology | Research Excellence Award

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Dr. Jiyoun Song | Technology | Research Excellence Award

University of Pennsylvania School of Nursing | United States

Dr. Jiyoun Song is an accomplished researcher in nursing science and health outcomes research at the University of Pennsylvania School of Nursing, with a strong focus on patient-centered care, symptom management, quality of life, and evidence-based nursing interventions across diverse clinical populations. She has demonstrated sustained scholarly productivity with 79 peer-reviewed publications that have received 664 citations, achieving an h-index of 14, reflecting both research quality and long-term impact. Her work is characterized by rigorous methodology and meaningful translation of research findings into clinical and policy-relevant contexts. Dr. Song maintains a broad collaborative profile, having worked with over 150 national and international co-authors, underscoring her active engagement in interdisciplinary and global research networks. Collectively, her contributions have advanced nursing practice, informed healthcare delivery models, and generated measurable social impact through improved patient outcomes and the integration of evidence-based care into real-world health systems.

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Basma Badreddine | Human-Centric GAI | Research Excellence Award

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Dr. Basma Badreddine | Human-Centric GAI | Research Excellence Award

Macquarie University | Australia

Dr. Basma Badreddine is a researcher at Macquarie University, Sydney, specializing in information management with a focus on digital health communities and user engagement. Her work critically examines the role of personality traits in online participation, particularly within cancer support networks, highlighting the intersection of psychology, information behavior, and health informatics. Dr. Badreddine has authored 5 peer-reviewed publications, collectively cited 23 times and 2 h-index, demonstrating her contribution to advancing knowledge in online health communication and digital community engagement. She collaborates with a range of interdisciplinary scholars, enhancing both the methodological rigor and practical relevance of her research. Her studies inform strategies to improve patient support, digital literacy, and community-based interventions, reflecting tangible social impact. Through her scholarly work, Dr. Badreddine has established a significant presence in global research on online health communities, providing insights that bridge theory, technology, and societal well-being.

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Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

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Dr. Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

Regenesys Institute of Management | India

Dr. Rakesh Rajendran, affiliated with the Department of Information Science and Technology, Chennai, India, is a distinguished researcher in the domain of cybersecurity and network resource management. With a focused expertise in denial-of-service (DoS) attack mitigation and resource usage tracking, Dr. Rakesh has contributed significantly to the advancement of secure computing systems. His scholarly output includes 10 peer-reviewed publications, collectively cited 107 times and 5 h-index,  reflecting a growing recognition within the global research community. Collaborating with 29 co-authors across diverse institutions, he has fostered interdisciplinary engagement, enhancing both theoretical insights and practical applications. Notably, his work addresses critical challenges in safeguarding digital infrastructures, underscoring a tangible societal impact by informing resilient cybersecurity practices. His research trajectory demonstrates a commitment to innovative, high-quality scholarship with relevance to both academic and industrial domains, positioning him as a recognized contributor to the advancement of information security and technological reliability worldwide.

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Yucen Yuan | New energy | Research Excellence Award

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Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

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Emanuel Santos | Physics | Research Excellence Award

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Prof. Emanuel Santos | Physics | Research Excellence Award

Federal University of Pernambuco | Brazil

Prof. Emanuel Santos is an established academic researcher at the Universidade Federal de Pernambuco, Brazil, with a scholarly profile characterized by consistent research productivity, international visibility, and collaborative engagement. His research is situated within his core disciplinary domain, with contributions that address both theoretical advancement and applied problem-solving. He has authored 34 peer-reviewed publications, which have collectively received 321 citations, reflecting the relevance and sustained impact of his work within the global research community. With an h-index of 10, his publications demonstrate balanced depth and influence across multiple studies. His research portfolio shows active collaboration with a diverse network of national and international co-authors, supporting interdisciplinary knowledge exchange. Beyond academic metrics, his work contributes to scientific capacity building, informs evidence-based practice, and supports broader societal and developmental objectives. Overall, his research profile reflects methodological rigor, collaborative strength, and meaningful academic and social impact.

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Wei Lu | Embodied Intelligent Robot | Research Excellence Award

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Prof. Wei Lu | Embodied Intelligent Robot | Research Excellence Award

Nanjing Agricultural University | China

Prof. Wei Lu is an established researcher at Nanjing Agricultural University, China, specializing in agricultural engineering with a strong focus on intelligent agricultural equipment, agricultural robotics, and advanced sensing and imaging technologies. His research integrates machine vision, terahertz and spectral imaging, and machine learning to develop practical solutions for precision agriculture, including automated mushroom harvesting systems, flexible grippers, non-destructive seed and crop stress detection, and root phenotyping under varying environmental conditions. He has authored 117 peer-reviewed publications, receiving 1,205 citations and achieving an h-index of 19, reflecting sustained scholarly impact and research quality. His work is widely published in leading international journals such as Computers and Electronics in Agriculture, Plant Methods, and Agronomy. With collaborations involving more than 260 co-authors, his research demonstrates strong interdisciplinary and international engagement, contributing to smart farming technologies, improved agricultural productivity, resource efficiency, and broader societal benefits related to food security and sustainable agriculture.

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Christian Ruhupatty | Philosophy of Technology | Research Excellence Award

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Mr. Christian Ruhupatty | Philosophy of Technology | Research Excellence Award

University of Indonesia | Indonesia

Mr. Christian Ruhupatty is a scholar in philosophy and linguistics whose research centers on deconstruction, the philosophy of technology, and the principle of personalization as a foundational framework for understanding language, ethics, human identity, and learning machines. His work engages deeply with Jacques Derrida’s thought, extending deconstructive analysis to contemporary issues such as artificial intelligence, computational personalization, moral theory, and post-humanist discourse. He has authored approximately 20 peer-reviewed publications, with 19 citations, an h-index of 2, and contributions spanning national and international journals. His research demonstrates interdisciplinary collaboration, including co-authored work on epistemological challenges in machine learning and technology studies. A key achievement is the systematic articulation of personalization as a unifying philosophical principle bridging humanities and emerging technologies. The social impact of his scholarship lies in its critical examination of Western humanism, ethics, democracy, and technology, offering conceptual tools for more human-centered, reflective, and responsible technological and cultural development.

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Junyin Wang | Autonomous | Research Excellence Award

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Mr. Junyin Wang | Autonomous | Research Excellence Award

Wuhan University of Technology | China

Mr. Junyin Wang is a researcher in intelligent transportation and computer vision, affiliated with Wuhan University of Technology, China. His work focuses on 3D perception for autonomous driving, with particular expertise in bird’s-eye-view (BEV) representation learning, camera–radar fusion, and knowledge distillation techniques for robust 3D object detection. He has authored 21 peer-reviewed publications, accumulating 40 citations with an h-index of 4, reflecting steady scholarly impact at an early career stage. Notable contributions include advanced dual-distillation and hybrid encoding frameworks published in leading venues such as Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems. Wang has engaged in broad international and interdisciplinary collaboration, working with over 40 co-authors, indicating strong integration within the global research community. His research addresses critical challenges in perception reliability and sensor fusion, contributing to safer, more efficient intelligent transportation systems and supporting the societal transition toward autonomous and smart mobility solutions.

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Sheng Xiang | AI | Research Excellence Award

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Assoc. Prof. Dr. Sheng Xiang | AI | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Sheng Xiang is an Associate Researcher at Chongqing University, China, specializing in intelligent battery management systems, energy storage analytics, and data-driven prognostics for lithium-ion batteries. His research expertise lies at the intersection of artificial intelligence, machine learning, and electrochemical energy systems, with a particular focus on remaining useful life prediction, state-of-charge estimation, and lightweight deep learning models for real-world battery applications. He has authored 30 peer-reviewed publications, which have collectively received 1,655 citations, reflecting strong international recognition and an h-index of 17. His recent contributions in high-impact journals such as Energy and Journal of Energy Storage demonstrate methodological innovation and practical relevance, especially for electric vehicles and smart energy systems. With an active collaboration network involving 57 co-authors, his work supports interdisciplinary research and global knowledge exchange. The societal impact of his research is evident in its potential to enhance battery safety, efficiency, sustainability, and lifecycle management in next-generation energy technologies.

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Amal Hassan | Biophysics | Research Excellence Award

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Prof. Dr. Amal Hassan | Biophysics | Research Excellence Award

Egyptian Atomic Energy Authority | Egypt

Prof. Dr. Amal Hassan is a distinguished researcher at the Egyptian Atomic Energy Authority, specializing in pharmacology, radiation biology, and nanomedicine, with a focus on mitigating radiation-induced tissue damage and exploring molecular mechanisms of inflammation. His research encompasses the development of nanostructured lipid carriers, bioactive natural compounds, and metal-based ligands for anticancer and radioprotective applications. With 56 peer-reviewed publications and 747 citations, she has demonstrated significant scholarly impact, reflected in an h-index of 12. Hassan maintains active collaborations with 41 international co-authors, fostering interdisciplinary approaches across pharmacology, toxicology, and biomedical sciences. His work addresses critical challenges in radiation exposure and oxidative stress, contributing to safer therapeutic strategies and advancing translational biomedical research. Through innovative studies on natural and synthetic radioprotective agents, Hassan’s research carries substantial societal relevance, enhancing health outcomes and supporting global efforts in radioprotection, cancer therapy, and environmental safety.

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