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

Published on by Computer Science Engineering

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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100
0

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2550

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89

h-index

28

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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
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2

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1

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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
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161

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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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