Qing Wang | Neuroscience Discoveries | Best Innovation Award

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Prof. Qing Wang | Neuroscience Discoveries | Best Innovation Award

Prof. Qing Wang | Southern Medical University | China

Professor Dennis Qing Wang is a distinguished neurologist and neuroscientist recognized for his pioneering research in neurodegenerative diseases, brain imaging, and translational neuroscience. With more than two decades of clinical and academic experience, he has made outstanding contributions to understanding the mechanisms of Alzheimer’s disease, Parkinson’s disease, and cognitive decline. Professor Wang holds an MD from the National Defense Medical Center, an MSc in Clinical Neurology from National Yang-Ming University, and a PhD in Neuroscience from the University of Tokyo, Japan. His multidisciplinary work bridges advanced neuroimaging and molecular neuroscience, fostering early diagnostics and therapeutic innovations that bridge laboratory research and patient care. He has authored 66 peer-reviewed scientific papers, which have collectively received 3,423 citations across 3,040 documents, demonstrating the global impact of his research. With an h-index of 30, his scholarship reflects both depth and sustained influence in the neuroscience community. As Professor of Neurology at Changhua Christian Hospital, he leads research initiatives in neurogenetics, cognitive neuroscience, and neurodegeneration, supervising emerging scientists and clinicians in the field. He has been invited to deliver lectures at leading international conferences and actively contributes to global collaborations in clinical neuroscience.

Profile: Scopus

Featured Publications

Wang, D. Q., et al. (2025). Development and validation of a polysomnography-based nomogram for predicting amnestic mild cognitive impairment in middle-aged and elderly people. Sleep Medicine.

Wang, D. Q., et al. (2025). Vascular depression: A comprehensive exploration of the definition, mechanisms, and clinical challenges.

Wang, D. Q., et al. (2025). Cellular fibronectin exacerbates α-synuclein aggregation via integrin α4β1-mediated PARP1 and SCD elevation. Neurotherapeutics.

Wang, D. Q., et al. (2025). Fibrinogen exacerbates α-synuclein aggregation and mitochondrial dysfunction via α5β3 integrin in Parkinson’s disease.

Wang, D. Q., et al. (2024). Lee Silverman Voice Treatment for dysarthria in patients with Parkinson’s disease: A systematic review and meta-analysis.

Samia ZAOUI | AI Advancements | Women Researcher Award

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Mrs. Samia ZAOUI | AI Advancements | Women Researcher Award

Mrs. Samia ZAOUI | Mohammed VI Foundation of Health and Sciences | Morocco

Dr. Samia Zaoui, based in Rabat, Morocco, is a multidisciplinary researcher and project leader bridging artificial intelligence, aeronautics, and healthcare systems innovation. She is currently pursuing her Ph.D. in Computer Science Engineering (AI & Aeronautics) at the Higher Institute of Aeronautics and Space (ISAE-SUPAERO) and INP Toulouse, France. Her research focuses on the application of AI technologies for supply chain resilience, predictive modeling, and sustainable industrial systems, with a strong emphasis on pharmaceutical and healthcare logistics. Dr. Zaoui has an extensive background in strategic project development, digital transformation, and industrial management, having held leadership roles at the Mohammed VI Foundation of Health and Sciences and the Cheikh Zaid Foundation. She has spearheaded projects in sports medicine innovation, pharmaceutical manufacturing, and medical technology transfer, fostering collaborations with international organizations such as WHO, LCIF, and Smile Train. Her scientific contributions include several peer-reviewed publications in international journals, such as the Global Journal of Flexible Systems Management and Production Planning & Control, covering topics like AI-driven supply chain viability, sustainability in Industry 5.0, and pharmaceutical risk prediction using machine learning. Dr. Zaoui’s research integrates AI-based decision systems with aeronautical and industrial engineering principles, contributing to global efforts in intelligent, resilient, and sustainable supply networks. She also actively participates in international technology exhibitions and collaborative industrial initiatives across Europe, Asia, and Africa.

Profile: Google Scholar

Featured Publications

Zaoui, S., Foguem, C., Tchuente, D., Fosso-Wamba, S., & Kamsu-Foguem, B. (2023). The viability of supply chains with interpretable learning systems: The case of COVID-19 vaccine deliveries. Global Journal of Flexible Systems Management, 24(4), 633–657. https://doi.org/10.1007/s40171-023-00357-w

Zaoui, S., Foguem, C., Tchuente, D., & Kamsu-Foguem, B. (2025). The application of artificial intelligence technologies in the resilience and the viability of supply chains: A systematic literature review. Production Planning & Control, 1–18.

Zaoui, H., Zaoui, S., Kamsu-Foguem, B., & Tchuente, D. (2024). Sustainability: The main pillar of Industry 5.0. Oklahoma International Publishing (OkIP) Books. https://doi.org/10.55432/978-1-6692-0007-9_13

StEER – Structural Engineering Extreme Event Reconnaissance. (2024). Hualien City, Taiwan Earthquake: Preliminary Virtual Reconnaissance Report (PVRR). https://doi.org/10.17603/ds2-0d2z-9682