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.

Noreen Kamal | Translational Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Noreen Kamal | Translational Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Noreen Kamal | Dalhousie University | Canada

Dr. Noreen Kamal, Ph.D., P.Eng., is an Associate Professor of Industrial Engineering at Dalhousie University, Canada, with cross-appointments in the Departments of Community Health and Epidemiology and Medicine (Neurology). Her research lies at the intersection of health systems engineering and clinical neuroscience, focusing on the optimization of stroke care systems, development of data-driven quality improvement frameworks, and evaluation of biomedical devices for stroke rehabilitation. Dr. Kamal has played a pivotal role in advancing integrated approaches to enhance the efficiency, safety, and accessibility of acute stroke services across Canada. Prior to joining Dalhousie University, she held academic and leadership positions at the University of Calgary and the University of British Columbia, contributing extensively to clinical research and health technology innovation. Her work bridges engineering, medicine, and health policy, emphasizing interdisciplinary collaboration and patient-centered outcomes. With 107 scientific publications, 8,033 citations, and an h-index of 22, Dr. Kamal has established herself as a recognized scholar in healthcare systems improvement and translational neuroscience. Her scholarly and professional contributions continue to drive evidence-based innovation in stroke systems of care, supporting better clinical outcomes and sustainable health service delivery.

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

Featured Publications

Author(s). (2025). Exploring differences in stroke treatment between urban and rural hospitals: A thematic analysis of practices in Canada. Canadian Journal of Neurological Sciences.

Author(s). (2025). Designing a patient outcome clinical assessment tool for modified Rankin Scale: “You feel the same way too”. Informatics.

Author(s). (2025). Predicting ischemic stroke patients to transfer for endovascular thrombectomy using machine learning: A case study. Healthcare (Switzerland).

Author(s). (2025). Incident prescriptions for common cardiovascular medications: Comparison of recent versus pre-2020 medication adherence and discontinuation in three universal health care systems. BMC Cardiovascular Disorders.

Author(s). (2025). Rising out-of-hospital mortality in Canada during 2020–2022: A striking impact observed among young adults. Canadian Journal of Public Health.

Author(s). (2025). Discrete event simulation model of an acute stroke treatment process at a comprehensive stroke center: Determining the ideal improvement strategies for reducing treatment times. Journal of the Neurological Sciences.

Author(s). (2025). Validation of the Passive Surveillance Stroke Severity Score in three Canadian provinces. Canadian Journal of Neurological Sciences.

Author(s). (2025). A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity. Infor.

Author(s). (2025). Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: A stepped-wedge trial. Frontiers in Neurology.

Author(s). (2025). The acute stroke system of treatment across Canada: Findings from a national stroke centre survey. Canadian Journal of Neurological Sciences.

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.

Chahra Chbili | Clinical Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Chahra Chbili | Clinical Neuroscience | Best Researcher Award

Assist. Prof. Dr. Chahra Chbili | University of Sousse | Tunisia

Dr. Chahra Chbili is an Assistant Professor of Pharmacology at the Higher School of Health Sciences and Techniques of Sousse (ESSTSS) and a member of the Research Laboratory of Metabolic Biophysics and Applied Pharmacology (LR/12ES02) at the Faculty of Medicine Ibn El Jazzar of Sousse, Tunisia. Her academic journey spans extensive training in biological sciences, genetics, and medical biotechnology, with a Ph.D. earned with highest honors for her work on the pharmacokinetic and pharmacogenetic study of carbamazepine therapy in epileptic and bipolar patients. Dr. Chbili’s research focuses on pharmacogenetics, pharmacokinetics, and the molecular mechanisms underlying drug efficacy and toxicity. She has contributed significantly to studies exploring the genetic determinants of drug metabolism, including investigations into glutathione-S-transferases in tuberculosis patients with drug-induced hepatotoxicity. Skilled in advanced laboratory techniques such as PCR, FISH, ELISA, and HPLC-MS, she has developed expertise in integrating molecular biology with clinical pharmacology. Dr. Chbili has authored 17 scientific documents, accumulated 138 citations across 123 indexed works, and maintains an h-index of 7, reflecting her impactful contributions to pharmacological and biomedical research in Tunisia and beyond.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

Chbili, C., Mrad, S., Graiet, H., Selmi, M., Maatoug, J., Maoua, M., Abdellaoui, L., Mrizek, N., Nouira, M., Ben Fredj, M., et al. (2024). Randomized, placebo-controlled pilot study investigating the effects of Laurus nobilis tea on lipid profiles and oxidative stress biomarkers in healthy North African volunteers. The North African Journal of Food and Nutrition Research, 8(17), 86–98.

Chbili, C., Fathallah, N., Laadhari, C., Ouni, B., Saguem, S., Ben Fredj, M., Abdelghani, A., Ben Saad, H., & Ben Salem, C. (2022). Glutathione-S-transferase genetic polymorphism and risk of hepatotoxicity to antitubercular drugs in a North-African population: A case-control study. Gene, 808, 146019.

Rebai, A., Chbili, C., Ben Amor, S., Hassine, A., Ben Ammou, S., & Saguem, S. (2021). Effects of glutathione S-transferase M1 and T1 deletions on Parkinson’s disease risk among a North African population. Revue Neurologique, 177(1–2), 93–99.

Chbili, C. (2021, August 22). The effect of Origanum majorana tea on motor and non-motor symptoms in patients with idiopathic Parkinson’s disease: A randomized controlled pilot study. Journal article.

Chbili, C., Maoua, M., Selmi, M., Mrad, S., Khairi, H., Limem, K., Mrizek, N., Saguem, S., & Ben Fredj, M. (2020). Evaluation of daily Laurus nobilis tea consumption on lipid profile biomarkers in healthy volunteers. Journal of the American College of Nutrition, 39(6), 518–526.

Rebai, A., Reçber, T., Nemutlu, E., Chbili, C., Kurbanoglu, S., Kir, S., Ben Amor, S., Özkan, S. A., & Saguem, S. (2020). GC-MS based metabolic profiling of Parkinson’s disease with glutathione S-transferase M1 and T1 polymorphism in Tunisian patients. Combinatorial Chemistry and High Throughput Screening, 23(8), 785–794.

Mansoor Showkat | Computational Neuroscience | Best Researcher Award

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Mr. Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Mr. Mansoor Showkat | SKUAT-Kashmir | India

Mansoor Showkat is a researcher in Plant Biotechnology with an M.Sc. from the University of Agricultural Sciences, Bangalore, and a B.Sc. (Hons.) in Horticulture from Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. His research expertise spans molecular biology, computational biology, bioinformatics, and tissue culture, with particular emphasis on antifungal compound analysis, gene transformation, and plant-pathogen interactions. Mansoor has contributed to several peer-reviewed publications and book chapters, focusing on the in-silico and in-vitro evaluation of bioactive compounds such as cordycepin, molecular mechanisms of stress responses, and secondary metabolite profiling in plants. His research projects include genetic transformation studies, metabolomics-based investigations, and the use of omics tools for crop improvement. He has actively participated in numerous international workshops, conferences, and webinars related to biotechnology, bioinformatics, and genomics. Mansoor has achieved significant academic recognition, including national rankings in competitive examinations by the Indian Council of Agricultural Research. His scientific impact is reflected by a citation count of 15, an h-index of 2, and an i10-index of 0, highlighting his growing contribution to molecular and agricultural biotechnology research.

Profiles: Google Scholar| Research Gate | Linked In

Featured Publications

  1. Showkat, M., Narayanappa, N., Umashankar, N., & Saraswathy, B. P., et al. (2024). Optimization of fermentation conditions of Cordyceps militaris and in silico analysis of antifungal property of cordycepin against plant pathogens. Journal of Basic Microbiology, 64(10), e2400409.

  2. Fatimah, N., Ashraf, S., R. U., K. N., Anju, P. B., Showkat, M., Perveen, K., Bukhari, N. A., et al. (2024). Evaluation of suitability and biodegradability of the organophosphate insecticides to mitigate insecticide pollution in onion farming. Heliyon, 10(12).

  3. Margay, K. A. A. A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., & Showkat, M., et al. (2024). Plant circadian clocks: Unravelling the molecular rhythms of nature. International Journal of Plant and Soil Science, 36(8), 596–617.

  4. Margay, A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., Showkat, M., R. U., K. N., Gani, A., et al. (2024). Harnessing brassinosteroids for heat resilience in wheat: A comprehensive study.

  5. Showkat, M., Nagesha, N., Ashraf, S., Nayana, K., Bashir, S., Nair, A. S., et al. (2024). Cordycepin: A molecular Trojan horse against Fusarium oxysporum f. sp. cubense—A computational perspective.

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.*

Elzbieta Paszynska | Clinical Neuroscience | Best Research Article Award

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Prof. Dr. Elzbieta Paszynska | Clinical Neuroscience | Best Research Article Award

Prof. Dr. Elzbieta Paszynska | Poznan University of Medical Sciences | Poland

Professor Elzbieta Paszynska is a distinguished expert in dentistry, serving as Chair of the Department of Integrated Dentistry and Chair of Community Dentistry at Poznan University of Medical Sciences. Her academic focus includes community dentistry, adult comprehensive dental treatment, dental materials, and clinical research in oral health, particularly in patients with eating disorders. She has led numerous significant research projects, including studies on salivary biomarkers, oral health status in eating disorders, and the caries-preventive effects of hydroxyapatite toothpaste in children and adults, collaborating with multiple international institutions. Her research has contributed to over 70 scientific documents with more than 598 citations and an h-index of 13. She has published high-impact works in journals such as Scientific Reports, Frontiers in Public Health, Frontiers in Psychiatry, Nutrients, and the Journal of Dentistry. Her contributions include interdisciplinary projects integrating dentistry, ethics, and public health, and she has coordinated large-scale EU-funded projects and international collaborations. Her work has been recognized with multiple institutional and national awards for scientific excellence, teaching, and professional contributions to dentistry, as well as honors from professional dental associations. She is an active member of national boards and promotes innovation in dental education and research.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

  • Obesity and central accumulation of fat in school-age children with attention-deficit/hyperactivity disorder. (2025). Scientific Reports.

  • Miescher’s Cheilitis as a Diagnostic and Therapeutic Challenge—A Case Report. (2025). Medicina, Kaunas, Lithuania.

  • Prevalence of Toothache in Adults: A Meta-Analysis of Worldwide Studies. (2025).

  • Pain experience and behavior management: efficacy of photobiomodulation as an adjunct to local anesthesia in MIH patients—a randomized split-mouth clinical study. (2025). Frontiers in Neurology.

  • Clinical evidence of caries prevention by hydroxyapatite: An updated systematic review and meta-analysis. (2025).

Hiroshi Nagase | Neuropharmacology | Best Researcher Award

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Prof. Hiroshi Nagase | Neuropharmacology | Best Researcher Award

Prof. Hiroshi Nagase | University of Tsukuba | Japan

Prof. Hiroshi Nagase is a distinguished Japanese scientist recognized for his pioneering contributions to medicinal chemistry and drug discovery. He earned his B.S., M.S., and Ph.D. degrees in Chemistry from Nagoya University, Japan, and later served as a Visiting Scientist at the University of Minnesota’s Department of Medicinal Chemistry. Dr. Nagase began his professional career at Toray Industries Inc., where he advanced from Researcher to Director in the Basic Research Laboratories. He later joined Kitasato University’s School of Pharmacy as a Professor and subsequently served as a Principal Investigator and Professor at the International Institute for Integrative Sleep Medicine (IIIS) under the World Premier International Research Center Initiative at the University of Tsukuba, where he now holds the title of Professor Emeritus. His academic and research influence extended through adjunct professorships at the University of Tokyo, the University of Nagasaki, Toyohashi Polytechnic College, and Nagoya University. Dr. Nagase has authored 39 scientific documents, which have collectively garnered 279 citations from 189 sources, reflecting his substantial impact on the field. With an h-index of 10, his research continues to inspire advancements in medicinal chemistry, neuropharmacology, and therapeutic innovation.

Profiles: Scopus | Research Gate

Featured Publication

Nagase, H. (2025). Development of novel bioactive alkaloids based on specific reactions of the 4,5-epoxymorphinan framework. Synlett.

[Authors not listed]. (2025). Delta opioid receptor agonists activate PI3K–mTORC1 signaling in parvalbumin-positive interneurons in mouse infralimbic prefrontal cortex to exert acute antidepressant-like effects. Molecular Psychiatry.

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.

Irene Litvan | Clinical Neuroscience | Best Researcher Award

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Dr. Irene Litvan | Clinical Neuroscience | Best Researcher Award

Dr. Irene Litvan | University of California San Diego | United States

Dr. Irene Litvan, MD, is the Tasch Endowed Professor of Neurology and Director of the Parkinson and Other Movement Disorders Center at the University of California, San Diego. She is internationally recognized for her pioneering work in movement disorders, particularly Parkinson’s disease and related neurodegenerative conditions. As a leading clinician-scientist, she has directed major multicenter and international initiatives to develop clinical and neuropathologic diagnostic criteria, identify disease biomarkers, and advance therapeutic interventions. Her extensive research spans epidemiologic, genetic, and clinico-pathologic correlation studies that have significantly deepened the understanding of movement disorders. Dr. Litvan’s scholarly impact is reflected in 6 published documents, 10 citations, and an h-index of 1. Throughout her distinguished career, she has received consistent funding support from national and international agencies, industry collaborations, and philanthropic organizations. Beyond her research, she has served as a dedicated mentor, shaping the next generation of neurologists and neuroscientists. Dr. Litvan also leads the UC San Diego Parkinson and Other Movement Disorders Center, fostering clinical excellence and research innovation aimed at improving diagnosis, management, and quality of life for individuals with Parkinson’s disease and other movement-related neurological disorders.

Featured Publications

Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., et al. (2015). MDS clinical diagnostic criteria for Parkinson’s disease. Movement Disorders, 30(12), 1591–1601.

McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O’Brien, J. T., Feldman, H., et al. (2005). Diagnosis and management of dementia with Lewy bodies: Third report of the DLB Consortium. Neurology, 65(12), 1863–1872.

Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). The FAB: A frontal assessment battery at bedside. Neurology, 55(11), 1621–1626.

Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y., Broe, G. A., et al. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders, 22(12), 1689–1707.

Litvan, I., Goldman, J. G., Tröster, A. I., Schmand, B. A., Weintraub, D., Petersen, R. C., et al. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders, 27(3), 349–356.

Litvan, I., Agid, Y., Calne, D., Campbell, G., Dubois, B., Duvoisin, R. C., Goetz, C. G., et al. (1996). Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): Report of the NINDS–SPSP international workshop. Neurology, 47(1), 1–9.

Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., et al. (2017). Clinical diagnosis of progressive supranuclear palsy: The Movement Disorder Society criteria. Movement Disorders, 32(6), 853–864.