World Neuroscientists Awards

Mozzanica, F., Pizzorni, N., Gitto, M., Dosi, C., Mandelli, A., Gandolfi, S., & others. (2024). Fiberoptic endoscopic evaluation of swallowing (FEES) in children with spinal muscular atrophy type 1: Feasibility, swallowing safety and efficacy, and dysphagia phenotype. European Archives of Oto-Rhino-Laryngology, 281(12), 6523–6532.
Gandolfi, S., Dosi, C., Parravicini, S., Arnoldi, M. T., Zanin, R., Biagi, S., Rinaldi, L., & others. (2025). Exploring the trajectory of swallowing within psychomotor development in spinal muscular atrophy: Moving toward integrated care. Audiology Research.
Masson, R., Dosi, C., Parravicini, S., Scopelliti, M., Arnoldi, M., Zanin, R., & others. (2025). 519P The challenge of swallowing assessment in SMA1: Dysphagia clinical features and available assessment tools. Neuromuscular Disorders, 53, 105608.
(2025). Factors influencing source separation intention for improving waste management in educational places: A case study for a university campus. International Journal of Environmental Health Engineering.
(2024). Microplastics contamination in popular soft drinks and non-alcoholic beverages marketed in Iran: Quantity and characteristics. Results in Engineering.
(2024). Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards. Scientific Reports.
(2024). Treatment of real carwash wastewater using high-efficiency and energy-saving electrocoagulation technique. Sustainable Chemistry and Pharmacy.
(2024). Water recovery and treatment of spent filter backwash from drinking water using chemical reactor–ultrafiltration process. Journal of Water Process Engineering.
(2024). Utilization of local corn (Zea mays) wastes for bioethanol production by separate hydrolysis and fermentation. Journal of Hazardous Materials Advances.
Dr. Ricardo S. Osorio is a tenured Associate Professor of Psychiatry and Radiology at NYU Grossman School of Medicine, where he directs the Healthy Brain Aging and Sleep Center and serves as Director of the Biomarker Core within the NYU Alzheimer’s Disease Research Center. A physician-scientist, Dr. Osorio investigates the interplay of sleep, vascular, and inflammatory mechanisms in Alzheimer’s disease, integrating multimodal biomarkers, neuroimaging, and detailed clinical phenotyping. He has led several landmark studies, including trials on sleep apnea, amyloid and tau accumulation, brain energetics, and locus coeruleus dysfunction, exploring how sleep and metabolic factors influence cognitive decline and neurodegeneration. His work has significantly advanced translational biomarker development, assay harmonization, and inclusive recruitment in aging research. Dr. Osorio has published over 130 peer-reviewed articles in top journals such as JAMA Neurology, Annals of Neurology, Sleep, Alzheimer’s & Dementia, Lancet, and Brain, contributing to more than 8,369 citing documents, with a total citation count of 9,893 and an h-index of 44. He serves on multiple editorial boards, including Sleep Medicine Reports, and has provided expert peer review for leading journals worldwide. His collaborative network spans the NYU Alzheimer’s Disease Research Center, Mount Sinai, the ENIGMA-Sleep Consortium, and numerous national and international aging and sleep research initiatives, mentoring the next generation of clinician-scientists while shaping the field of sleep and neurodegeneration.
Author(s). (Year). Disordered sleep and painful diabetic neuropathy (PDN): A review of the literature on pathophysiology, pharmacologic and nonpharmacologic treatment options, and future directions. Journal Name, Volume(Issue), pages.
Author(s). (2025). EEG slow oscillations and overnight spatial navigational memory performance in CPAP-treated obstructive sleep apnea. Sleep, Volume(Issue), pages.
Author(s). (2025). High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer’s disease dementia. Alzheimer’s & Dementia, Volume(Issue), pages.
Author(s). (2025). Impact of Alzheimer’s disease on sleep in adults with Down syndrome. Alzheimer’s & Dementia, Volume(Issue), pages.
Author(s). (2025). Sleep-wake variation in body temperature regulates tau secretion and correlates with CSF and plasma tau. Journal of Clinical Investigation, Volume(Issue), pages.
Author(s). (2025). The stability of slow-wave sleep and EEG oscillations across two consecutive nights of laboratory polysomnography in cognitively normal older adults. Journal of Sleep Research, Volume(Issue), pages.
Author(s). (2025). Two-year longitudinal outcomes of subjective cognitive decline in Hispanics compared to non-Hispanic Whites. Journal of Geriatric Psychiatry and Neurology, Volume(Issue), pages.
Author(s). (Year). Enhancing sleep, wakefulness, and cognition with transcranial photobiomodulation: A systematic review. Journal Name, Volume(Issue), pages.
Author(s). (2024). The relationship between anxiety and levels of Alzheimer’s disease plasma biomarkers. Journal of Alzheimer’s Disease, Volume(Issue), pages.
Author(s). (2024). The neutrophil to lymphocyte ratio associates with markers of Alzheimer’s disease pathology in cognitively unimpaired elderly people. Immunity and Ageing, Volume(Issue), pages.
Dr. Yu Zhou is a postdoctoral researcher at Army Engineering University, specializing in the intersection of neuroscience, computer vision, and target detection. His research primarily focuses on deceptive visual design for both human and machine perception, exploring how visual stimuli can influence detection, recognition, and cognitive processing. Zhou has conducted pioneering studies on camouflage and optical deception, utilizing EEG-based brain functional network analysis to evaluate target visibility and cognitive responses. His work integrates principles from weapon science, biomedical engineering, and computer science to develop comprehensive models of visual perception and deception. Representative publications include investigations into neural responses to camouflage targets with varying exposure signs, the impact of color differences on brain activation patterns, and feasibility assessments of optical camouflage effects. Through these studies, he contributes to a deeper understanding of how visual designs can manipulate human attention and computer vision systems, providing actionable insights for defense technology applications. Zhou’s research emphasizes rigorous quantitative evaluation methods, leveraging neurophysiological data to inform the design of effective deceptive visual patterns. With an h-index of 2 and multiple citations, his work demonstrates a growing influence in fields spanning neuroscience-informed computer vision, perceptual deception, and applied optical camouflage.
Author(s). (2024). Neural responses to camouflage targets with different exposure signs based on EEG. Neuropsychologia.
Dr. Dipesh is a dedicated mathematician specializing in mathematical modeling, with extensive experience in both academic and research domains. He has made significant contributions to applied mathematics, particularly in areas intersecting numerical methods, AI/ML, and fluid dynamics. Dr. Dipesh has actively organized and coordinated multiple academic programs, including national workshops, faculty development programs, and departmental initiatives, demonstrating strong leadership in fostering educational and research excellence. His efforts in coordinating the Department of Intellectual Property Rights and successfully conducting events such as RAFAS highlight his commitment to academic growth and institutional development. Academically, he has pursued rigorous training from undergraduate to postdoctoral levels, culminating in advanced research at Harran University, Turkey. Dr. Dipesh’s scholarly output includes 30 documents that have been cited 103 times, reflecting an h-index of 7, underscoring the impact and relevance of his research contributions in applied mathematics and related interdisciplinary fields. His approach emphasizes quality teaching, student placement, institutional ranking, and enhancing the overall goodwill of the organizations he serves. Driven by a passion for tackling challenges and improving systems with limited resources, Dr. Dipesh continually seeks to connect with external environments, promote collaborative work, and advance the reach and recognition of academic institutions.
Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations. (2025). Partial Differential Equations in Applied Mathematics.
Modelling the role of delay in blood flow dynamics in human body using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.
On the modeling the impact of delay on stock pricing fluctuations using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.
Prof. Li Lingbo is a leading researcher in hematology and clinical neurology, with significant contributions to blood transfusion, laboratory medicine, and neurological disorder research. Over the past five years, he has published five SCI-indexed journal articles with a cumulative impact factor of 12.09, and six journals in total, contributing to a strong citation record that includes pivotal works such as the discovery of novel mutations within human ABO and RhD antigen genes, documented in the International Gene Database (GeneBank). He has edited and published three monographs, including An Introduction to Blood Group, advancing knowledge in blood group biology and transfusion medicine. His research portfolio encompasses three completed or ongoing research projects and three consultancy or industry collaborations, alongside one patent under process. Prof. Li serves as a peer reviewer for multiple prestigious journals, including the Chinese Journal of Blood Transfusion, Chinese Journal of Preventive Medicine, and the World Journal of Psychiatry (SCI, IF 3.9/Q1). He holds memberships in Sigma Xi, the Baikouen Spirit Research Society, and the Jilin Provincial Health Management Blood Transfusion Committee. With an h-index reflecting his scholarly influence, Prof. Li continues to advance the diagnosis, treatment, and prevention of blood and neurological disorders while developing innovative therapies and interventions, establishing him as a prominent figure in translational and clinical research.
Zhong, J., Gao, Y., Mo, C., Zhang, Y., Luo, Y., & Li, L. (2025). From Rh blood group antigen antibody testing to “transfusionomics.” European Journal of Haematology.
Wang, Z., Li, Y., Zhang, H., Jiang, N., Xu, J., Zhu, D., & Bryce, M. R. (2025). Non-traditional luminescent polyurethanes of n–π electron hybrid structures with varying separation of aromatic rings. ACS Applied Polymer Materials, 7(18), 12337–12344.
Zhu, D., Chen, X., Wang, J., & Li, Q. (2025). A new strategy enabling combined fluorescence imaging of individual tuberculous granulomas and precise photothermal therapy of tuberculosis with lesion- and pathogen-targeting capabilities of the nanoparticles. Note, Open Access.
Wang, Z., Wang, W., Wu, Q., & Zhu, D. (2025). Constructing 1 + 1 > 2 photosensitizers based on NIR cyanine–iridium(III) complexes for enhanced photodynamic cancer therapy. Molecules, 30(12), 2662.
Sun, Y., Tang, Y., Zhang, L., Zhao, H., Wang, Z., & Zhu, D. (2025). Self-assembly versus coassembly: An amphiphilic NIR-II aggregation-induced emission luminogen for phototheranostics of orthotopic glioblastoma. Journal of Medicinal Chemistry.
Wang, Z., Liu, Y., Zhao, L., Tang, Y., & Zhu, D. (2025). Endogenous near-infrared chemiluminescence: Imaging-guided non-invasive thrombolysis and anti-inflammation based on a heteronuclear transition metal complex. Advanced Science, 12(5), 14567.
Wang, Z., Li, C., Zhao, H., Tang, Y., & Zhu, D. (2025). Leveraging tumor microenvironment to boost synergistic photodynamic therapy, ferroptosis anti-tumor efficiency based on a functional iridium(III) complex. Advanced Science, 12(7), 14892.
Tang, Y., Wang, Z., Zhao, H., Sun, Y., & Zhu, D. (2025). Sonodynamic and bioorthogonal sonocatalytic thrombotic therapy based on AIE cationic tetranuclear Ir(III) complex nanoplatform guided by NIR-chemiluminescence imaging. Advanced Materials, 37(4), 2310674.
Zhu, D., Wang, Z., & Tang, Y. (2025). The Midas touch by internal stimuli: Activatable luminogens with near-infrared aggregation-induced emission for potent bioimaging and theranostics. Review Article.
Wang, Z., Li, X., Zhao, H., Tang, Y., & Zhu, D. (2024). Disulfide-bridged cationic dinuclear Ir(III) complex with aggregation-induced emission and glutathione-consumption properties for elevating photodynamic therapy. Inorganic Chemistry, 63(22), 18945–18956.
Wang, Z., Tang, Y., Zhao, H., & Zhu, D. (2024). Phosphorescent sensor based on iridium(III) complex with aggregation-induced emission activity for facile detection of volatile acids. Molecules, 29(9), 2031.
Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.
Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.
Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.
Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.
Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.
Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.
Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.