Prof. Dr. Jen-Jie Chieh | Smart Sensing | Research Excellence Award

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Prof. Dr. Jen-Jie Chieh | Smart Sensing | Research Excellence Award

National Taiwan Normal University | Taiwan

Prof. Dr. Jen Jie Chieh is an established researcher at National Taiwan Normal University with a strong scholarly presence in interdisciplinary scientific research. With 89 publications, Chieh has accumulated 2,550 citations, reflecting sustained academic influence and research relevance. The author’s h-index of 28 indicates both productivity and consistent citation impact within the field. Chieh has demonstrated extensive scholarly collaboration, working with 188 co-authors, highlighting active engagement in international and multi-institutional research networks. The body of work contributes to advancing theoretical understanding and applied knowledge, supporting evidence-based innovation and academic development. Through widely cited publications, Chieh’s research has informed subsequent studies and fostered knowledge dissemination beyond institutional boundaries. The citation reach and collaborative breadth suggest meaningful social and academic impact, supporting the translation of research outcomes into educational, scientific, and societal contexts. Overall, Chieh’s profile reflects a mature, influential research trajectory with sustained global visibility.

Citation Metrics (Scopus)

2550
1500
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0

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2550

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89

h-index

28

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h-index


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Jose Rosas-Bustos | Quantum Integrity | Excellence in Quantum Computing Award

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Mr. Jose Rosas-Bustos | Quantum Integrity | Excellence in Quantum Computing Award

University of Waterloo | Canada

Mr. Jose Rosas-Bustos is a researcher at the University of Waterloo specializing in quantum communication, quantum information processing, and cybersecurity. His work focuses on uncovering hidden vulnerabilities in quantum systems, leveraging principles such as Heisenberg’s uncertainty to expand attack vectors, reflecting a strong commitment to advancing secure quantum technologies. He has contributed to both academic and applied domains, authoring peer-reviewed publications and securing multiple patents (five granted and two applications) on cloudless computing infrastructures, demonstrating innovation in decentralized transaction management and system architecture. With a total of 2 citations, an h-index of 1, and collaborative research with co-inventors and co-authors, his work bridges theoretical quantum research with practical implementations, highlighting potential societal impacts in secure computing and data privacy. Mr. Rosas-Bustos’s research integrates fundamental science with technological applications, positioning him as an emerging contributor to global cybersecurity and quantum information fields.

Citation Metrics

2
1.5
1
0.5
0

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2

h-index

1

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0

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Obada Al-Khatib | Blockchain | Research Excellence Award

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Dr. Obada Al-Khatib | Blockchain | Research Excellence Award

University of Wollongong in Dubai | United Arab Emirates

Dr. Obada Al-Khatib is an academic researcher specializing in machine learning, deep learning, and explainable artificial intelligence (XAI), with a strong focus on environmental intelligence, smart systems, and safety-critical applications. His research addresses real-world challenges such as wildfire prediction, battery thermal runaway, intrusion detection in vehicular networks, and climate-driven risk modeling, emphasizing model interpretability and robustness under data imbalance. He has authored 42 peer-reviewed publications, accumulating 161 citations, and holds an h-index of 7, reflecting sustained scholarly impact. Dr. Al-Khatib actively collaborates with an extensive international research network, as evidenced by 81 co-authors, supporting interdisciplinary and cross-regional knowledge exchange. His recent open-access works contribute to societal resilience, environmental sustainability, and technological safety, particularly in the context of climate change and intelligent infrastructure. Collectively, his research demonstrates both methodological rigor and meaningful social and environmental impact at a global level.

Citation Metrics (Scopus)

161
100
50
10
0

Citations

161

Documents

42

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7

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Fatih Aslan | Object Detection | Research Excellence Award

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Mr. Fatih Aslan | Object Detection | Research Excellence Award

Sefine Shipyard | Turkey

Mr. Fatih Aslan is a researcher specializing in applied artificial intelligence, computer vision, and deep learning, with a particular focus on occupational safety and industrial applications. His work centers on developing real-time vision-based systems for safety monitoring in construction and shipyard environments. He is the author of one peer-reviewed journal article published in Applied Sciences, which presents a deep-learning-based approach for recognizing helmet-wearing personnel from a distance, contributing to automated safety compliance and risk reduction. His research integrates advanced neural network architectures with practical deployment considerations, bridging academic innovation and industry needs. Aslan collaborates with academic researchers and industry professionals, reflecting an interdisciplinary and application-driven research profile. The societal impact of his work lies in enhancing workplace safety, reducing accidents, and supporting digital transformation in high-risk industrial sectors. His research contributes to the global effort to apply AI technologies for sustainable and safer working environments.

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Xiang Chen | Vehicle Dynamics | Research Excellence Award

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Assoc. Prof. Dr. Xiang Chen | Vehicle Dynamics | Research Excellence Award

Nanjing University of Aeronautics and Astronautics | China

Assoc. Prof. Dr. Xiang Chen is an Associate Professor at the College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, China. His research expertise lies in vehicle dynamics and control, intelligent automotive systems, combustion and thermal engineering, and energy-efficient powertrain technologies. He has authored 43 peer-reviewed publications, receiving 694 citations with an h-index of 13, reflecting sustained academic impact. His work integrates advanced control methods, neural-network-based predictive control, electro-hydraulic steering systems, and swirl combustor flow and ignition characteristics, contributing to both theoretical modeling and experimental validation. Dr. Chen’s research outputs are published in leading international journals such as Applied Thermal Engineering, ISA Transactions, and Proceedings of the IMechE. He maintains extensive international and interdisciplinary collaborations, as evidenced by a broad co-author network. His research supports automotive safety, energy optimization, and low-emission propulsion technologies, offering tangible societal benefits for sustainable transportation and advanced mobility systems.

Citation Metrics (Scopus)

694
400
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100
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694

Documents

43

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13

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Kelum A.A. Gamage | Ethical AI | Research Excellence Award

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Prof. Dr. Kelum A.A. Gamage | Ethical AI | Research Excellence Award

University of Glasgow | United Kingdom

Prof. Dr. Kelum A.A. Gamage is a distinguished academic based at the University of Glasgow, United Kingdom, with recognized expertise in engineering, applied sciences, and interdisciplinary research addressing real-world challenges. He has made substantial scholarly contributions, with over 120 peer-reviewed publications indexed in Scopus, attracting more than 2,800 citations and an h-index of 24, reflecting both productivity and sustained research impact. His work spans fundamental research and applied innovation, often bridging academia and industry, and demonstrates strong international collaboration, as evidenced by a wide network of global co-authors. Prof. Gamage’s research has contributed to advancements with clear societal relevance, including technology development, system optimization, and solutions aligned with sustainability and public benefit. Through research leadership, mentorship, and collaboration, he continues to influence scientific progress and capacity building at a global level.

Citation Metrics (Scopus)

2832
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2,832

Documents

121

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24

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