Jie Xia | Neuroinformatics | Research Excellence Award

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Ms. Jie Xia | Neuroinformatics | Research Excellence Award

Ms. Jie Xia | Zhejiang university | China

Jie Xia is a researcher in electronic science and technology whose work focuses on brain imaging, biomedical signal processing, and micro–nano sensing systems. She is pursuing advanced training at Zhejiang University, where her studies integrate artificial intelligence–guided learning with next-generation sensing and detection technologies. Her academic background in automation and electronic engineering provides a strong foundation in circuits, digital logic, and signal analysis. Xia’s research experience includes serving as an algorithm engineer at the Institute of Optoelectronics at Westlake University, where she contributed to the development of a non-invasive photoelectric multimodal brain imaging system. In this role, she designed and optimized algorithms for near-infrared functional brain imaging and developed computational methods to quantify changes in oxygenated and deoxygenated hemoglobin, supporting real-time monitoring of cerebral activity. Her research contributions span neuroimaging technology, optical sensing, and computational modeling, with growing impact in the field. She has produced multiple scholarly outputs, reflected in 67 citations, 65 documents, an h-index of 5, and an i10-index of 3, demonstrating consistent influence and early-career productivity. Xia continues to develop interdisciplinary methods that bridge engineering and neuroscience, aiming to advance non-invasive brain monitoring technologies and their translational applications.

Profile: Google Scholar

Featured Publications

Zhang, F., Zhang, L., Xia, J., Zhao, W., Dong, S., Ye, Z., Pan, G., Luo, J., & Zhang, S. (2023). Multimodal electrocorticogram active electrode array based on zinc oxide‐thin film transistors. Advanced Science, 10(2), 2204467.

Zhou, P., Bai, C., Xia, J., & Chen, S. (2020). CMRDF: A real-time food alerting system based on multimodal data. IEEE Internet of Things Journal, 9(9), 6335–6349.

Li, B., Li, M., Xia, J., Jin, H., Dong, S., & Luo, J. (2024). Hybrid integrated wearable patch for brain EEG-fNIRS monitoring. Sensors, 24(15), 4847.

Wang, S., Yang, L., Jiang, H., Xia, J., Li, W., Zhang, Z., Zhang, S., Jin, H., Luo, J., … (2023). Multifunctional evaluation technology for diagnosing malfunctions of regional pelvic floor muscles based on stretchable electrode array probe. Diagnostics, 13(6), 1158.

Zhou, P., Bai, C., & Xia, J. (2019). ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task. CLEF (Working Notes), 11.

Xia, J., Zhang, F., Zhang, L., Cao, Z., Dong, S., Zhang, S., Luo, J., & Zhou, G. (2024). Magnetically compatible brain electrode arrays based on single-walled carbon nanotubes for long-term implantation. Nanomaterials, 14(3), 240.

Zhou, P., Xia, J., Peng, X., Zhao, W., Ye, Z., Li, Z., Yang, S., Pan, J., Chen, Y., … (2025). Neural-driven image editing. NeurIPS 2025.

Pan, J., Xia, J., Zhang, F., Zhang, L., Zhang, S., Pan, G., & Dong, S. (2023). 7T magnetic compatible multimodality electrophysiological signal recording system. Electronics, 12(17), 3648.

Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award

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Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award 

Dr.A. Jayanthila Devi | Adichunchinagiri university | India

Dr. A. Jayanthiladevi is a distinguished academic and researcher in Computer Science and Engineering, currently serving as a Professor at the Department of Computer Science and Engineering, BGSIT, Adichunchanagiri University, Karnataka, India. She has completed two Post-Doctoral Research Fellowships, one at the Center of Artificial Intelligence, Amity University Dubai, and another at Srinivas University under the mentorship of leading experts in artificial intelligence and enterprise systems. She holds a Ph.D. in Computer Applications from Anna University, where her doctoral work proposed an efficient spectrum utilization and retransmission rerouting mechanism in Mobile IP. Her academic background further includes advanced qualifications in intellectual property law and computer applications. Dr. Jayanthiladevi has extensive professional experience as Professor, Assistant Professor, Director of Post-Doctoral Fellowship Programmes, and collaborator for industry–academia research initiatives across various reputed institutions. Her research contributions span artificial intelligence, wireless networks, spectrum mobility, and cybersecurity. She has authored numerous publications with a citation count of 639 and 569 across platforms, an h-index of 13 and 12, and an i10-index of 15 and 14, reflecting her strong scholarly impact. With strong research leadership and collaborative expertise, she continues to contribute significantly to high-quality publications, patents, and international research advancements.

Profile: Google Scholar

Featured Publications

Priya, S. S., Sivaram, M., Yuvaraj, D., & Jayanthiladevi, A. (2020). Machine learning based DDoS detection. In 2020 International Conference on Emerging Smart Computing and Informatics.

Balamurugan, E., Flaih, L. R., Yuvaraj, D., Sangeetha, K., & Jayanthiladevi, A. (2019). Use case of artificial intelligence in machine learning manufacturing 4.0. In 2019 International Conference on Computational Intelligence and Knowledge.

Nagarajan, G., Minu, R. I., & Jayanthila Devi, A. (2020). Optimal nonparametric Bayesian model-based multimodal BoVW creation using multilayer pLSA. Circuits, Systems, and Signal Processing, 39(2), 1123–1132.

Nagarajan, G., Minu, R. I., & Jayanthiladevi, A. (2019). Brain computer interface for smart hardware device. International Journal of RF Technologies, 10(3–4), 131–139.

Jayanthiladevi, A., Raj, A. G., Narmadha, R., Chandran, S., Shaju, S., & Prasad, K. K. (2020). AI in video analysis, production and streaming delivery. Journal of Physics: Conference Series, 1712(1), 012014.

Sakthivel, K., Jayanthiladevi, A., & Kavitha, C. (2016). Automatic detection of lung cancer nodules by employing intelligent fuzzy c-means and support vector machine. Biomedical Research–India, 27, S123–S127.

Ranjeeth, S., Latchoumi, T. P., Sivaram, M., Jayanthiladevi, A., & Kumar, T. S. (2019). Predicting student performance with ANNQ3H: A case study in secondary education. In 2019 International Conference on Computational Intelligence and Knowledge.

Minu, R., Nagarajan, G., Suresh, A., & Devi, J. A. (2016). Cognitive computational semantic for high resolution image interpretation using artificial neural network. Biomedical Research–India, 27, S306–S309.

Mishra, P., Jimmy, L., Ogunmola, G. A., Phu, T. V., Jayanthiladevi, A., et al. (2020). Hydroponics cultivation using real time IoT measurement system. Journal of Physics: Conference Series, 1712(1), 012040.

Latchoumi, T. P., Vasanth, A. V., Bhavya, B., Viswanadapalli, A., & Jayanthiladevi, A. (2020). QoS parameters for comparison and performance evaluation of reactive protocols. In 2020 International Conference on Computational Intelligence for Smart Power.

Arunkarthikeyan, K., Balamurugan, K., Nithya, M., & Jayanthiladevi, A. (2019). Study on deep cryogenic treated-tempered WC–CO insert in turning of AISI 1040 steel. In 2019 International Conference on Computational Intelligence and Knowledge.

Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

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Assoc. Prof. Dr. Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

Assoc. Prof. Dr. Carmen Berenguer | Universitat de Valencia | Spain

Dr. Carmen Berenguer is an Associate Professor in the Department of Developmental and Educational Psychology at the University of Valencia. She holds a degree in Psychology, a Master’s in Cognitive Neuroscience and Special Educational Needs, and a Ph.D. in Psychology with the distinction of Cum Laude and International Doctorate from the same university. Her research has consistently focused on neurodevelopmental disorders, particularly Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), exploring cognitive, social, communication, and learning dimensions. In recent years, she has extended her work to examine comorbid conditions such as sleep difficulties and to design psychosocial intervention programs for families of children with ASD and ADHD. Dr. Berenguer has completed or participated in nine research projects and authored 20 books. She holds two patents related to psychosocial programs and augmented reality applications for educational and therapeutic purposes. With 54 published documents, her work has been cited in 994 scientific papers, accumulating a total of 1,077 citations and achieving an h-index of 17, reflecting her significant impact in developmental psychology and neurodevelopmental research.

Profiles: Scopus | orcid | Google Scholar

Featured Publications

(2025). Characteristics, motivations and attitudes of students using ChatGPT and other language model-based chatbots in higher education. Education and Information Technologies.

(2025). Parenting stress in autistic and ADHD children: Implications of social support and child characteristics. Journal of Autism and Developmental Disorders.

(2025). Sleep disturbances in autistic children and adolescents: A systematic review and meta-analysis of randomized controlled trials.

(2025). Augmented reality and learning-cognitive outcomes in autism spectrum disorder: A systematic review.

(2025). Occupational stress, burnout, and job satisfaction amongst Spanish speech-language pathologists. International Journal of Speech Language Pathology.

Kushal J | Clinical Neuroscience | Best Researcher Award

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Mr. Kushal J | Clinical Neuroscience | Best Researcher Award

Mr. Kushal J |  Acharya and B M Reddy College of Pharmacy | India

Kushal J’s research focuses on pharmaceutical analysis, drug formulation, and healthcare innovation, reflecting a deep interest in bridging traditional and modern approaches to drug development. His work includes the formulation, development, and evaluation of an anti-acne serum using cow’s urine, a study that explores bioactive natural resources for dermatological applications. He has also contributed to analytical chemistry through his project on analytical method development and validation for identifying selected genotoxic impurities in bulk and pharmaceutical dosage forms by the RP-HPLC DAD method, presented at the JSS Pharmanecia International Research Conference. His academic training emphasizes analytical instrumentation, including HPLC, UV-Vis spectrophotometry, and dissolution testing, supported by a strong understanding of Good Laboratory Practices (GLP) and Good Manufacturing Practices (GMP). He has further strengthened his theoretical foundation through certifications in Food Chemistry and Biomedical Research. Kushal’s growing research portfolio highlights his dedication to advancing pharmaceutical quality control, regulatory compliance, and innovation in formulation science. His goal is to apply analytical and formulation expertise toward developing safer, more effective, and sustainable pharmaceutical products, contributing to the evolving fields of pharmaceutical technology, analytical method development, and health informatics.

Profile: Orcid

Featured Publication

Kushal, J., Loganathan, C. G., Rajesh, R., Dutta, S., Paik, A., Dasgupta, A., Reddy, G. N. N., & Suchindar, A. (2025). Recent advances in quinoline derivatives: Biological and medicinal insights. ChemistrySelect.

Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

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Assist. Prof. Dr. Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

Assist. Prof. Dr. Chun-An Cheng | Tri-Service General Hospital | Taiwan

Assistant Professor Dr. Chun-An Cheng is a distinguished researcher affiliated with the Tri-Service General Hospital, Taiwan, known for his significant contributions to medical and clinical research. He has authored 73 scholarly documents, which have collectively garnered 658 citations across 620 publications, reflecting the wide impact and recognition of his scientific work. With an h-index of 14, Dr. Cheng has demonstrated consistent research productivity and influence within his field. His research encompasses multidisciplinary areas in clinical medicine, focusing on advancing diagnostic methodologies, therapeutic innovations, and patient-centered healthcare strategies. Through his collaborations and publications, Dr. Cheng has contributed to improving the understanding of complex medical conditions and enhancing evidence-based clinical practices. His dedication to translational research bridges the gap between laboratory findings and clinical applications, reinforcing his role as a key figure in the Taiwanese medical research community. Dr. Cheng continues to drive impactful studies that promote innovation, patient safety, and improved health outcomes, positioning him as a leading voice in contemporary clinical science.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

  • (2025). Effects of exposure to air pollution and cold weather on acute myocardial infarction mortality. Atmosphere.

  • (2025). The risk of ischemic stroke in patients with chronic obstructive pulmonary disease and atrial fibrillation. Life.

  •  (2024). Increased risk of psychiatric disorder in patients with hearing loss: A nationwide population-based cohort study. Journal of Translational Medicine.

  • (2024). Diabetes mellitus and gynecological and inflammation disorders increased the risk of pregnancy loss in a population study. Life.

  • (2024). The influence of fine particulate matter and cold weather on emergency room interventions for childhood asthma. Life.

  • (2024). Impact of foodborne disease in Taiwan during the COVID-19 pandemic. Medicina (Lithuania).

  • (2024). Analyzing COVID-19 and air pollution effects on pediatric asthma emergency room visits in Taiwan. Toxics.

Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

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Dr. Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Victoria Carter | VCA West Coast Vet Hospital | United States

Victoria Carter is a highly skilled small-animal internal-medicine clinician and researcher whose diverse training and leadership reflect her commitment to veterinary excellence. After earning a BSc (Hons) in Biological Science from the University of Guelph in Canada, followed by a DVMS (Bachelor of Veterinary Medicine & Surgery) from the Royal (Dick) School of Veterinary Studies in Edinburgh (where she received multiple awards including the CEVA Dermatology Prize and the Outstanding Student Leadership Award), she completed internships, a residency in Small Animal Internal Medicine at the University of Pennsylvania – Matthew J. Ryan Veterinary Hospital, and now serves as one of the lead internal medicine clinicians at the VCA West Coast Specialty & Emergency Animal Hospital in Fountain Valley, CA. Her clinical repertoire includes advanced endoscopic procedures (gastroduodenoscopy, ileocolonoscopy, bronchoscopy, rhinoscopy, cystoscopy/vaginoscopy and tracheoscopy) and she is experienced in high-volume inpatient and outpatient settings, collaborating across hospital services to tailor diagnostics and care plans for complex cases. Her research interests include immune-mediated diseases, such as primary immune-mediated neutropenia in the context of an earlier-diagnosed Evans syndrome in dogs (Carter & Silvestrini, Vet Rec Case Rep) and a retrospective international study on hypercobalaminaemic cats in progress under mentor Paolo Silvestrini MSc, PhD, DECVIM(CA). She has authored [DOCUMENTS-COUNT] publications, amassed [CITATIONS-COUNT] citations, and holds an h-index of [H-INDEX]. A native Canadian, fluent in English and French, she brings strong leadership, communication and interpersonal skills — especially in high-pressure environments — and fosters a positive, collaborative veterinary team culture while building excellent relationships with clients and patients.

Profile: Orcid

Featured Publication

Carter, V., & Silvestrini, P. (2025, September 24). Primary immune‐mediated neutropenia as part of a relapse of previously diagnosed Evans syndrome in a dog. Veterinary Record Case Reports.

Jane Paulsen | Clinical Neuroscience | Best Researcher Award

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Prof. Dr. Jane Paulsen | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Jane Paulsen | University of Wisconsin Madison | United States

Dr. Jane S. Paulsen, Ph.D., is a Professor of Neurology and Vice Chair for Research at the University of Wisconsin–Madison, where she also contributes to the Department of Neurosciences Graduate Program. Her expertise lies in cognitive, psychiatric, and imaging correlates of neuropsychiatric disorders, with a strong focus on the early detection of brain diseases and the development of innovative methods for clinical trials. She has significantly advanced the understanding of genetic discrimination and the discovery and validation of biological and clinical markers of brain disease, incorporating neuroimaging and omics-based outcomes into her research. Dr. Paulsen completed her Ph.D. in Counseling Psychology at the University of Iowa, followed by postdoctoral training in Neuropsychology at the University of California, San Diego, where she worked on Alzheimer’s and geriatric psychiatry research. Over her career, she has held key positions including Director of the Huntington’s Disease Clinical Research Program at UCSD and has contributed extensively to advancing neuropsychological research and clinical applications. Her scholarly impact includes 4 published documents, 78 citations from 77 documents, and an h-index of 3, reflecting her influence in the fields of neurology, neuropsychology, and cognitive neuroscience.

Profiles: Scopus | Google Scholar | Reserach Gate | linked In

Featured Publications

Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: The DSM-5 approach. Nature Reviews Neurology, 10(11), 634–642.

Ross, C. A., Aylward, E. H., Wild, E. J., Langbehn, D. R., Long, J. D., Warner, J. H., & Paulsen, J. S. (2014). Huntington disease: Natural history, biomarkers and prospects for therapeutics. Nature Reviews Neurology, 10(4), 204–216.

Paulsen, J. S., Langbehn, D. R., Stout, J. C., Aylward, E., Ross, C. A., Nance, M., & Shoulson, I. (2008). Detection of Huntington’s disease decades before diagnosis: The Predict-HD study. Journal of Neurology, Neurosurgery & Psychiatry, 79(8), 874–880.

Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S., Hayden, M. R., & International Huntington’s Disease Collaborative Group. (2004). A new model for prediction of the age of onset and penetrance for Huntington’s disease based on CAG length. Clinical Genetics, 65(4), 267–277.

Levy, M. L., Cummings, J. L., Fairbanks, L. A., Masterman, D., Miller, B. L., Craig, A. H., & Paulsen, J. S. (1998). Apathy is not depression. The Journal of Neuropsychiatry and Clinical Neurosciences, 10(3), 314–319.

Sachdev, P., Kalaria, R., O’Brien, J., Skoog, I., Alladi, S., Black, S. E., Blacker, D., & Paulsen, J. S. (2014). Diagnostic criteria for vascular cognitive disorders: A VASCOG statement. Alzheimer Disease & Associated Disorders, 28(3), 206–218.

Palmer, B. W., Heaton, R. K., Paulsen, J. S., Kuck, J., Braff, D., Harris, M. J., & Zisook, S. (1997). Is it possible to be schizophrenic yet neuropsychologically normal? Neuropsychology, 11(3), 437–446.

Plis, S. M., Hjelm, D. R., Salakhutdinov, R., Allen, E. A., Bockholt, H. J., Long, J. D., & Calhoun, V. D. (2014). Deep learning for neuroimaging: A validation study. Frontiers in Neuroscience, 8, 229.

Mohamed, S., Paulsen, J. S., O’Leary, D., Arndt, S., & Andreasen, N. (1999). Generalized cognitive deficits in schizophrenia: A study of first-episode patients. Archives of General Psychiatry, 56(8), 749–754.

Paulsen, J. S., Ready, R. E., Hamilton, J. M., Mega, M. S., & Cummings, J. L. (2001). Neuropsychiatric aspects of Huntington’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 71(3), 310–314.

Li-Ru Zhao | Neurogenetics | Best Researcher Award

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Prof. Dr. Li-Ru Zhao | Neurogenetics | Best Researcher Award

Dr. LR Zhao is a distinguished neuroscientist and professor at the State University of New York Upstate Medical University, with appointments in the Departments of Neurosurgery and Neuroscience & Physiology. He received his M.D. from Hebei Medical College and completed his Ph.D. at Lund University, focusing on neural stem cells, brain plasticity, and neurobiology. His postdoctoral work at the University of Minnesota explored the role of bone marrow stem cells in brain repair. Dr. Zhao’s research career spans multiple institutions, including Northwestern University and Louisiana State University Health Sciences Center, where he progressed from Research Assistant Professor to Associate Professor. His work primarily investigates mechanisms underlying brain repair and regeneration, with emphasis on traumatic brain injury, enriched environment interventions, and neurodegenerative diseases such as Alzheimer’s and CADASIL. He has successfully secured multiple NIH-funded grants, including R01 and R56 awards, totaling several million dollars, and has mentored numerous medical students through summer and research fellowship programs. Dr. Zhao has published 66 peer-reviewed documents, which have been cited 3,238 times by 2,814 documents, yielding an h-index of 27. His contributions have advanced understanding of hematopoietic growth factors in neurorepair, SCF+G-CSF-mediated recovery in chronic TBI, and the cellular mechanisms regulating neurodegeneration and regeneration, establishing him as a leader in translational neuroscience research.

Profiles: Scopus | Linked In

Featured Publications

  • Author(s). (2024). Research guideline recommendations for research on stem cells, human embryos, and gene editing.

  • Author(s). (2024). Hematopoietic growth factors regulate the entry of monocytes into the adult brain via chemokine receptor CCR5. International Journal of Molecular Sciences.

  • Author(s). (2024). Single-cell RNA sequencing reveals immunomodulatory effects of stem cell factor and granulocyte colony-stimulating factor treatment in the brains of aged APP/PS1 mice. Biomolecules.

  • Author(s). (2023). Stem cell factor and granulocyte colony-stimulating factor promote remyelination in the chronic phase of severe traumatic brain injury. Cells.

  • Author(s). (2021). SCF + G-CSF treatment in the chronic phase of severe TBI enhances axonal sprouting in the spinal cord and synaptic pruning in the hippocampus. Acta Neuropathologica Communications.

Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

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Assoc. Prof. Dr.Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Edris Hoseinzadeh | Saveh University of Medical Sciences | Iran

Dr. Edris Hoseinzadeh is an Associate Professor of Environmental Health Engineering at Saveh University of Medical Sciences, Iran. He is a highly accomplished environmental health engineer recognized for his innovative research on sustainable solutions for water and wastewater treatment, air pollution control, and waste valorization. His scientific expertise spans advanced oxidation processes, electrochemical systems, nanotechnology applications, and the integration of artificial intelligence in smart remediation technologies. Dr. Hoseinzadeh has authored over 90 research papers, holds multiple patents, and has achieved an h-index of 18 with more than 2,500 citations, reflecting his significant impact in the field. His work addresses critical global challenges such as emerging contaminants, pharmaceutical pollutants, microplastics, and antibiotic-resistant genes, with a focus on resource recovery and circular economy principles. As Head of the Department of Environmental Health Engineering at Saveh University, he has also demonstrated strong leadership and academic mentorship, guiding over 15 graduate theses and serving as Founder and Editor-in-Chief of the HOZAN Journal of Environmental Sciences. Dr. Hoseinzadeh’s research combines scientific rigor with practical innovation, contributing to the advancement of environmental sustainability and public health protection.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

(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.

Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

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Dr. Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

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.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. 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.

  2. Author(s). (2025). EEG slow oscillations and overnight spatial navigational memory performance in CPAP-treated obstructive sleep apnea. Sleep, Volume(Issue), pages.

  3. 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.

  4. Author(s). (2025). Impact of Alzheimer’s disease on sleep in adults with Down syndrome. Alzheimer’s & Dementia, Volume(Issue), pages.

  5. 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.

  6. 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.

  7. 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.

  8. Author(s). (Year). Enhancing sleep, wakefulness, and cognition with transcranial photobiomodulation: A systematic review. Journal Name, Volume(Issue), pages.

  9. Author(s). (2024). The relationship between anxiety and levels of Alzheimer’s disease plasma biomarkers. Journal of Alzheimer’s Disease, Volume(Issue), pages.

  10. 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.