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.

Zhou Yu | Behavioral Neuroscience | Best Researcher Award

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Dr. Zhou Yu | Behavioral Neuroscience | Best Researcher Award

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.

Profiles: Scopus | Reasearch Gate

Featured publication

Author(s). (2024). Neural responses to camouflage targets with different exposure signs based on EEG. Neuropsychologia.

Nasar Ata | Neurology | Best Researcher Award

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Mr. Nasar Ata | Neurology | Best Researcher Award

Dr. S. M. Nasar Ata is a researcher in the Department of Neurology at Henry Ford Hospital, Detroit, USA, specializing in artificial intelligence applications in neuroscience. His work focuses on developing machine learning and soft computing–based algorithms such as CNN, ANN, SVM, and MLR for detecting and predicting brain-based disorders, including Multiple Sclerosis. He integrates metabolomics and imaging clinical data to identify biomarkers and construct predictive models for neurological and metabolic diseases. Dr. Ata collaborates with research centers such as JNMC and IBRC AMU on brain tumor prediction from MRI data and with RCDR AMU on diabetes-related model development. His research contributions include several submitted papers on metabolite prediction, deep learning in brain tumor detection, and molecular mechanisms underlying neurodegeneration and cancer. He has also authored the textbook Basics of Bio-Sciences and actively participates in scientific discussions and editorial work. With 3 published documents, 7 citations, and an h-index of 2, Dr. Ata’s growing research profile reflects his commitment to advancing data-driven neurological diagnostics through AI and biostatistical innovation.

Profiles: Scopus | Research Gate

Featured Publication

Corrigendum to “Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data” [Multiple Sclerosis and Related Disorders, 92, 105942 (2024)]. (2024). Multiple Sclerosis and Related Disorders, 95, 106321.

Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

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Prof. Dr. Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Prof. Dr. Alireza Kamali-Asl | Freelance organization | United Kingdom

Professor Alireza Kamaliasl is a distinguished expert in medical radiation engineering and serves as the Director of the Medical Imaging Instruments Laboratory and Head of Molecular Imaging Modality. With over two decades of experience in healthcare technology and molecular imaging, he has made pioneering contributions to the design, simulation, and manufacture of advanced medical imaging instruments across modalities such as SPECT, PET, CT, and radiography. His interdisciplinary research integrates mathematical modeling, computational analysis, and clinical collaboration to enhance diagnostic and theranostic imaging systems. Professor Kamaliasl has authored more than 150 publications in top-tier international journals and conferences, achieving an h-index of 28, with over 3,800 citations and 160 research documents indexed in global databases. He has successfully supervised more than 45 postgraduate research projects, fostering innovation and leadership in radiological sciences. His expertise spans radio-isotopic imaging, system performance optimization, radiation shielding, device calibration, and preventive maintenance management. Recognized for his role as a visionary mentor and strategic planner, Professor Kamaliasl continues to advance multimodality molecular imaging and medical instrumentation, bridging the gap between engineering innovation and clinical application to improve diagnostic precision and therapeutic outcomes.

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

Featured Publications

  1. Habibzadeh, M. A., Ay, M. R., Kamali-Asl, A. R., Ghadiri, H., & Zaidi, H. (2012). Impact of miscentering on patient dose and image noise in X-ray CT imaging: Phantom and clinical studies. Physica Medica, 28(3), 191–199.

  2. Aghakhan Olia, N., Kamali-Asl, A., Hariri Tabrizi, S., Geramifar, P., et al. (2022). Deep learning–based denoising of low-dose SPECT myocardial perfusion images: Quantitative assessment and clinical performance. European Journal of Nuclear Medicine and Molecular Imaging, 49(5), 1508–1522.

  3. Arefan, D., Talebpour, A., Ahmadinejhad, N., & Kamali-Asl, A. (2015). Automatic breast density classification using neural network. Journal of Instrumentation, 10(12), T12002.

  4. Poorbaygi, H., Aghamiri, S. M. R., Sheibani, S., Kamali-Asl, A., et al. (2011). Production of glass microspheres comprising 90Y and 177Lu for treating hepatic tumors with SPECT imaging capabilities. Applied Radiation and Isotopes, 69(10), 1407–1414.

  5. Khazaee Moghadam, M., Kamali-Asl, A., Geramifar, P., & Zaidi, H. (2016). Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study. Cancer Biotherapy and Radiopharmaceuticals, 31(10), 367–379.*

Musawer Hakimi | Systems Neuroscience | Best Researcher Award

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Mr. Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Mr. Musawer Hakimi | Samangan University | Afghanistan

Mr. Musawer Hakimi is an accomplished Assistant Professor at Samangan University, specializing in Computer Science. He holds a Bachelor’s degree in Computer Science from India and a Master’s degree in Information Technology from Kabul University. Demonstrating a strong commitment to lifelong learning, he has earned 25 professional certificates in Computer Science from India, along with two specialized certifications in Ethical Hacking and Oracle Database from the United States. His academic excellence and research contributions have positioned him as a respected scholar with 3 published documents, 13 citations, and an h-index of 1. Mr. Hakimi’s scholarly work has been featured in reputable international journals across the United Kingdom, the United States, Turkey, Sweden, and Indonesia, reflecting his active engagement in global research networks. Beyond his research achievements, he is dedicated to nurturing future computer scientists through his teaching and mentorship at the Public University of Afghanistan, where he plays an instrumental role in advancing computer science education. His interdisciplinary expertise, international collaborations, and consistent scholarly output underscore his impact as an educator, researcher, and thought leader in the evolving field of computer science, contributing to the growth of academic excellence and innovation within Afghanistan and the broader global academic community.

Profiles: Scopus | Orcid | Google Scholar | Research Gate

Featured Publications

Quraishi, T., Ulusi, H., Muhid, A., Hakimi, M., & Olusi, M. R. (2024). Empowering students through digital literacy: A case study of successful integration in a higher education curriculum. Journal of Digital Learning and Distance Education, 2(9), 667–681.

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56–63.

Hakimi, M., Katebzadah, S., & Fazil, A. W. (2024). Comprehensive insights into e-learning in contemporary education: Analyzing trends, challenges, and best practices. Journal of Education and Teaching Learning (JETL), 6(1), 86–105.

Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., & others. (2024). Challenges and opportunities of e-learning for women’s education in developing countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57–69.

Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for social good: Leveraging artificial intelligence for community development. Journal of Community Service and Society Empowerment, 2(2), 196–210.

Fazil, A. W., Hakimi, M., Sajid, S., Quchi, M. M., & Khaliqyar, K. Q. (2023). Enhancing internet safety and cybersecurity awareness among secondary and high school students in Afghanistan: A case study of Badakhshan Province. American Journal of Education and Technology, 2(4), 50–61.

Alam, M. I., Khatri, S., Shukla, D. K., Misra, N. K., Satpathy, S., & Hakimi, M. (2025). Blockchain-based coal supply chain management system for thermal power plants. Discover Computing, 28(1), 1–32.

Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

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Ms. Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

Ms. Priyadharshini Veeralakshmanan | Amrita Vishwa Vidyapeetham | India

Ms. Priyadharshini Veeralakshmanan is a dedicated PhD scholar at Amrita Vishwa Vidyapeetham, specializing in Medical Oncology with a focus on Breast Cancer Immunology and the immunosuppressive tumour microenvironment (TME), particularly in Triple-Negative Breast Cancer (TNBC). Her doctoral research involves a Phase 2/3 open-label pilot clinical trial to evaluate neoadjuvant metronomic chemotherapy for modulating the TME and enhancing chemo- and immunotherapy responses, quantifying immunosuppressive cells and tumour-infiltrating lymphocytes from blood and tumour tissue. She holds an M.Sc. in Physician Assistant (Medical Oncology) and a B.Sc. in Physician Assistant (General Medicine), with extensive clinical training in oncology, hematology, surgical oncology, radiation oncology, and palliative care. Priyadharshini has strong expertise in flow cytometry, cell culture, in vitro drug testing, cytotoxicity assays, systematic reviews, meta-analysis, and clinical trial design, using advanced analytical tools such as FlowJo, SPSS, and GraphPad Prism. She has authored several publications, with an h-index of 3, over 7 documents, and more than 50 citations. A member of ESMO, ASCO, and I-OSI, she is committed to advancing cancer research, translating innovative findings into clinical practice to improve patient outcomes globally.

Profiles: Orcid | Linked In

Featured publications

Veeralakshmanan, P., Jose, W. M., Udayakumaran, S., Bindhu, M. R., Dutta, D., Rajesh, K., Kavalagunta, S., Bhaskaran, R., Haridas, N. K., Rakesh, M. P., et al. (2025). Multimodal management and outcome of pediatric and adolescent malignant central nervous system tumors: A single‐center retrospective study. Malignancy Spectrum.

Surendran, H. P., Sah, S. K., Veeralakshmanan, P., Nair, P., Ashok, H. P., Unnikrishnan, M. K., Kalavagunta, S., Sasidharan, A., Chandran, D., Poornachary, N. M., et al. (2025). Efficacy of hippocampal avoidance whole brain radiotherapy to preserve the cognitive functions among brain metastasis patients: Systematic review and meta-analysis. Neurology India, 73(5), 715–725.

Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

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Dr. Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

Dr. Jaleel Miyan | The University of Manchester | United Kingdom

Dr. Jaleel Ahmad Miyan is a distinguished British neuroscientist and Senior Lecturer at the Faculty of Biology, Medicine & Health, Division of Neuroscience, University of Manchester, with a long-standing career dedicated to understanding cerebrospinal fluid (CSF) physiology and its role in neurological disorders. As President of the Society for Research into Hydrocephalus & Spina Bifida and a Fellow of both the Higher Education Academy and the Royal Society of Biology, he is recognized internationally for his expertise in cerebral folate metabolism and hydrocephalus research. His principal work focuses on fetal-onset and neonatal hydrocephalus, aiming to develop a non-invasive, non-surgical treatment to address global disparities in care. Miyan has supervised numerous PhD and Masters students, postdoctoral researchers, and technicians, fostering research excellence. He has published over 120 peer-reviewed research papers and reviews, with an h-index of 34, and his work has garnered substantial citations, reflecting his impact in neuroscience. He has served on editorial boards, contributed to major research projects, and secured significant funding for studies on folate metabolism in neurological conditions. Miyan’s scholarship is accessible through his ResearchGate, Orcid, and Google Scholar profiles, showcasing his profound contributions to advancing neuroscience and improving treatments for devastating neurological conditions.

Profiles : Google Scholar | Orcid | Research Gate

Featured Publications

Downing, J. E. G., & Miyan, J. A. (2000). Neural immunoregulation: Emerging roles for nerves in immune homeostasis and disease. Immunology Today, 21(6), 281–289.

Assas, B. M., Pennock, J. I., & Miyan, J. A. (2014). Calcitonin gene-related peptide is a key neurotransmitter in the neuro-immune axis. Frontiers in Neuroscience, 8, 23.

Miyan, J. A., Nabiyouni, M., & Zendah, M. (2003). Development of the brain: A vital role for cerebrospinal fluid. Canadian Journal of Physiology and Pharmacology, 81(4), 317–328.

Gazi, E., Dwyer, J., Lockyer, N. P., Miyan, J., Gardner, P., Hart, C., & Brown, M., et al. (2005). Fixation protocols for subcellular imaging by synchrotron‐based Fourier transform infrared microspectroscopy. Biopolymers: Original Research on Biomolecules, 77(1), 18–30.

Mashayekhi, F., Draper, C. E., Bannister, C. M., Pourghasem, M., & Miyan, J. A., et al. (2002). Deficient cortical development in the hydrocephalic Texas (H‐Tx) rat: A role for CSF. Brain, 125(8), 1859–1874.

Owen‐Lynch, P. J., Draper, C. E., Mashayekhi, F., Bannister, C. M., & Miyan, J. A. (2003). Defective cell cycle control underlies abnormal cortical development in the hydrocephalic Texas rat. Brain, 126(3), 623–631.

Kailas Chavan | Neuropharmacology | Best Researcher Award

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Mr. Kailas Chavan | Neuropharmacology | Best Researcher Award

Mr. Kailas Chavan | Indian Institute of Technology Jodhpur | India

Kailas Arjun Chavan is a doctoral researcher at the Indian Institute of Technology Jodhpur, specializing in organic chemistry under the mentorship of Dr. Rohan D. Erande. His Ph.D. research focuses on the isolation and synthesis of bioactive scaffolds, including bis-indolyl compounds, flavonoids, and constituents of Pterocarpus marsupium, alongside the development of nickel-catalyzed direct conversion of alcohols to trans-cinnamonitriles. He completed his M.Sc. in Organic Chemistry at Dr. Babasaheb Ambedkar Marathwada University, where he investigated Cs₂CO₃-catalyzed reactions for the efficient synthesis of dihydroquinazolin-4(1H)-one. Kailas has contributed to the scientific community through 6 publications, amassing 94 citations. His research interests bridge synthetic methodology with bioactive compound exploration, aiming to advance medicinal chemistry and sustainable synthesis. Kailas’s work reflects a strong commitment to chemical innovation, positioning him as a promising emerging scientist in his field.

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

Featured Publications

Chavan, K. A., Shukla, M., Chauhan, A. N. S., Maji, S., Mali, G., Bhattacharyya, S., … (2022). Effective synthesis and biological evaluation of natural and designed bis(indolyl)methanes via taurine-catalyzed green approach. ACS Omega, 7(12), 10438–10446.

Mali, G., Maji, S., Chavan, K. A., Shukla, M., Kumar, M., Bhattacharyya, S., … (2022). Effective synthesis and biological evaluation of functionalized 2,3-dihydrofuro[3,2-c]coumarins via an imidazole-catalyzed green multicomponent approach. ACS Omega, 7(40), 36028–36036.

Shivam, S., Chavan, K. A., Chauhan, A. N. S., Erande, R. D. (2023). Recent advances in [3+2]-cycloaddition-enabled cascade reactions: Application to synthesize complex organic frameworks. Synlett, 34(07), 709–728.

Mali, G., Chauhan, A. N. S., Chavan, K. A., Erande, R. D. (2021). Development and applications of double Diels‐Alder reaction in organic synthesis. Asian Journal of Organic Chemistry, 10(11), 2848–2868.

Sharma, V., Chavan, K. A., Mali, G., Sarkar, D., Lama, P., Majumder, M., … (2023). A catecholaldimine-based NiII-complex as an effective catalyst for the direct conversion of alcohols to trans-cinnamonitriles and aldehydes. The Journal of Organic Chemistry, 88(11), 7448–7453.

Chavan, K. A., Sonawane, O. A., Erande, R. D. (2025). Novel metabolites from Pterocarpus marsupium: Structural characterization and biological relevance. Tetrahedron Letters, 155820.

Meng Wang | Neuroanatomy | Best Researcher Award

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Mr. Meng Wang | Neuroanatomy | Best Researcher Award

Mr. Meng Wang | Chongqing Medical University | China

Meng Wang is an Associate Professor at Chongqing Medical University, where he leads an innovative research program focused on unraveling the neural encoding mechanisms underlying sensory memory traces. His work employs multiscale approaches that integrate neural networks, cellular ensembles, and synaptic plasticity to advance the systematic mapping of cortical memory processes through microscale functional connectivity maps. Dr. Wang has made landmark contributions to neuroscience, including the identification of Holistic Bursting (HB) cells as putative auditory memory engram neurons characterized by superlinear integration properties, providing novel insights into how sensory memories are encoded and maintained in the brain. His research program bridges cellular neurobiology with systems neuroscience, offering a comprehensive framework for understanding memory formation at multiple organizational levels. A committed scholar, Dr. Wang has authored 15 scientific documents that have collectively received 156 citations from 149 publications, reflecting the impact and visibility of his work within the global scientific community. His h-index of 7 demonstrates a growing influence in the field, underscoring both the relevance and originality of his research. Through his pioneering efforts, Dr. Wang continues to contribute significantly to advancing the understanding of cortical mechanisms that shape memory processing and sensory cognition.

Profiles: Scopus | Research Gate

Featured Publications

Author(s). (2025). 6-Gingerol, an active compound of ginger, attenuates NASH-HCC progression by reprogramming tumor-associated macrophage via the NOX2/Src/MAPK signaling pathway. BMC Complementary Medicine and Therapies.

Rezvan Ghafarzadegan | Clinical Neuroscience | Best Researcher Award

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Mrs. Rezvan Ghafarzadegan | Clinical Neuroscience | Best Researcher Award

Mrs. Rezvan Ghafarzadegan | Tarbiat Modares University | Iran

Rezvan Ghafarzadegan is a distinguished nursing scholar specializing in Medical-Surgical Education, holding an M.Sc. in Nursing from Tehran University of Medical Sciences and a B.Sc. in Nursing from Arak University of Medical Sciences, both completed with exceptional academic honors and outstanding GPAs. She is currently a Ph.D. candidate in Nursing at Tarbiat Modares University, demonstrating a strong commitment to advancing nursing education and clinical practice. Rezvan has extensive teaching experience, serving as an instructor for Medical-Surgical Nursing, Emergency Medicine, Internal Diseases, Medical Ethics, Pathophysiology, Orthopedic Surgical Technology, and Introduction to Surgical Technology. She also has broad clinical instruction expertise in Emergency, Internal Medicine (Gastroenterology & Endocrinology), Orthopedics, Neurosurgery, and General Surgery, along with operating room education. Her scholarly contributions include 9 published documents that have collectively earned 31 citations, reflecting her growing impact in the field, and she holds an h-index of 3. Recognized throughout her academic journey as an exceptional talent student, Rezvan combines clinical expertise with a deep dedication to research, striving to improve nursing education and patient care through both her teaching and scientific endeavors.

Profiles: Scopus | Orcid | Research gate

Featured Publications

Zarei, M., Norouzi, N., Teymoori, E., & Ghafarzadegan, R. (2025). Covering sterile instrument tables to prevent airborne bacterial contamination and surgical wound infections: A narrative review of operating room nursing practices. Perioperative Care and Operating Room Management, 100495.

Ghafarzadegan, R., Zarei, M., Norouzi, N., Mirbagher Ajorpaz, N., Lotfi, S. M., Rasooli Manesh, S. M., Akbari, H., & Abedi, A. (2025). Efficacy of an Iranian herbal medicine formula for postoperative constipation in trauma patients with hip and lower limb fractures: A triple-blind, placebo-controlled randomized clinical trial. International Journal of Orthopaedic and Trauma Nursing, 101163.

Javaheri, J., Asgari, M., & Ghafarzadegan, R. (2023). The effect of Nigella sativa powder on blood sugar and lipid profiles in type 2 diabetic patients. Jundishapur Journal of Natural Pharmaceutical Products, e135757.