Ouliana Ziouzenkova | Translational Neuroscience | Research Excellence Award

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Dr. Ouliana Ziouzenkova | Translational Neuroscience | Research Excellence Award

Dr. Ouliana Ziouzenkova | the Ohio State University | United States

Dr. Ouliana Ziouzenkova is a distinguished researcher at The Ohio State University, United States, recognized for her significant contributions to biomedical and metabolic research. Her work focuses on lipid metabolism, inflammation, and the molecular mechanisms underlying chronic diseases, advancing both fundamental science and translational applications. She has demonstrated strong academic productivity, authoring 67 scholarly documents that have collectively received 3,206 citations across 2,734 citing publications, reflecting the broad impact and relevance of her research within the scientific community. With an h-index of 29, Dr. Ziouzenkova has established a consistent record of high-quality, influential work. Her research integrates molecular biology, biochemistry, and clinical insights to better understand disease pathways and potential therapeutic targets. Through her publications, collaborations, and academic engagement, she continues to contribute to the advancement of health sciences and the development of innovative strategies for disease prevention and treatment.

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Seyed MohamadMehdi Moshtaghion | Clinical Neuroscience | Research Excellence Award

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Dr. Seyed MohamadMehdi Moshtaghion | Clinical Neuroscience | Research Excellence Award

Dr. Seyed MohamadMehdi Moshtaghion | Cabimer | Spain

Seyed MohamadMehdi Moshtaghion, MD, MSc, is a physician-scientist and Senior Research Technologist specializing in advanced therapies and diagnostic biomarkers for retinal degenerative diseases, with a primary focus on retinitis pigmentosa and age-related macular degeneration. His research integrates molecular biology, stem cell–based strategies, gene therapy, and artificial intelligence–driven retinal imaging to advance early diagnosis and personalized treatment approaches for vision-threatening disorders. He holds a medical degree from Shahid Beheshti University and advanced postgraduate training in biomedical investigation and molecular biology and biomedicine from the University of Seville, along with certification in animal experimentation. Dr. Moshtaghion has conducted research at leading international institutions, including Massachusetts Eye and Ear at Harvard Medical School, Karolinska Institutet, and CABIMER, contributing to translational projects that bridge laboratory discoveries with clinical ophthalmology. He has authored over 20 peer-reviewed scientific publications, with a total of 183 citations, an h-index of 8, and an i10-index of 8, reflecting consistent scholarly impact in the fields of retinal biology and regenerative medicine. His work has been presented at major international conferences such as ARVO and EURETINA, highlighting innovative therapeutic strategies and biomarker discovery in retinal disease research.

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Featured Publications

Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images
– M Essalat, M Abolhosseini, TH Le, SM Moshtaghion, MR Kanavi, Scientific Reports, 13(1): 8953, 2023

Penetrating keratoplasty versus deep anterior lamellar keratoplasty in children and adolescents with keratoconus
– S Feizi, MA Javadi, F Karimian, M Abolhosseini, SM Moshtaghion, American Journal of Ophthalmology, 226: 13–21, 2021

Impression cytology for detection of clinically suspected ocular surface disorders: a cross-sectional study
– SM Moshtaghion, M Abolhosseini, MR Kanavi, SB Hosseini, European Journal of Ophthalmology, 31(3): 943–950, 2021

Outcomes of big-bubble deep anterior lamellar keratoplasty for pediatric keratoconus
– S Feizi, MA Javadi, M Najafi, M Abolhosseini, SM Moshtaghion, International Ophthalmology, 40(5): 1253–1259, 2020

Folasewa Abdulsalam | Translational Neuroscience | Research Excellence Award

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Ms. Folasewa Abdulsalam | Translational Neuroscience | Research Excellence Award

Ms. Folasewa Abdulsalam | Vrije Universiteit Amsterdam | Netherlands

Folasewa Maryam Abdulsalam is a Neuroscience and Data Science researcher currently pursuing her master’s at Vrije Universiteit Amsterdam, with prior training in Brain Science and Data Science at Bar-Ilan University and a First Class B.Sc. in Computer Science and Mathematics from Obafemi Awolowo University. Her interdisciplinary work bridges computational modeling, neuromodulation technologies, and neural rehabilitation, as evidenced by her projects on ultrasound-microbubble interactions for blood–brain barrier modulation and engagement recognition systems using deep learning. Her research is grounded in practical skills including Python programming, signal data analysis, and finite-element simulations. Abdulsalam has contributed to the academic community with several publications, reflected on her Google Scholar profile where she has an h-index of 3, with 88 citations across her works and 7 documents listed. Her academic impact demonstrates rising influence in computational neuroscience and neuroengineering, particularly in simulation-based approaches to therapeutic intervention. With ambitions to pursue a Ph.D. in Neuroscience and a long-term goal of becoming a NeuroTech AI Research Engineer developing adaptive closed-loop neurotechnologies, her trajectory combines rigorous quantitative analysis with cutting-edge neurotechnological innovation, making her a promising emerging scholar at the intersection of neuroscience and artificial intelligence.

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Hendry Ramly | Clinical Neuroscience | Research Excellence Award

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Dr. Hendry Ramly | Clinical Neuroscience | Research Excellence Award

Fiona Stanley | Australia

Dr. Hendry Ramly is a clinician–researcher with advanced training in general medicine, cardiology, and intensive care medicine, and a focused academic interest in non-traumatic out-of-hospital cardiac arrest and post-resuscitation care. His research is directly informed by frontline clinical practice across acute medicine, ICU, and cardiology, where he manages critically ill patients following cardiac arrest. Dr. Ramly’s primary research examines cardiovascular management strategies after return of spontaneous circulation, with particular emphasis on haemodynamic stabilisation, coronary pathology, and the timing and utility of urgent coronary angiography. Neurological outcomes are included as standard clinical endpoints, while the central focus remains on cardiovascular determinants of survival and in-hospital mortality. He is lead author of a retrospective observational cohort study published in Heart, Lung and Circulation (2025), evaluating outcomes of non-traumatic out-of-hospital cardiac arrest at a tertiary centre. His additional audit work includes thoracic surgical outcomes, geriatric referral pathways, and procedural adequacy in respiratory medicine. Through clinically driven research and multidisciplinary collaboration, Dr. Ramly aims to refine evidence-based pathways that improve survival, decision-making, and quality of care for patients following cardiac arrest.


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Joshua Barzilay | Clinical Neuroscience | Best Researcher Award

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Dr. Joshua Barzilay | Clinical Neuroscience | Best Researcher Award

Kaiser Permanente of Georgia, Emory School of Medicine | United States

Dr. Joshua I. Barzilay is a senior clinician–scientist and board-certified endocrinologist whose research spans diabetes, hypertension, cardiovascular disease, metabolic syndrome, and aging, integrating epidemiology with long-term clinical outcomes. His early work included oncology and hematology research, followed by a sustained focus on endocrine and metabolic disorders during his tenure at Kaiser Permanente of Georgia and Emory University School of Medicine. Dr. Barzilay has made influential contributions to large, multicenter clinical and population-based studies, including ALLHAT, ACCORD/ACCORDION, and the Cardiovascular Health Study, where he has served on steering committees and specialty working groups. His research has clarified the impact of glucose dysregulation, insulin resistance, and antihypertensive therapies on cardiovascular morbidity, mortality, and incident diabetes, particularly in older adults. A major theme of his work is the relationship between metabolic syndrome, frailty, autonomic function, and cardiovascular risk, providing evidence to guide treatment strategies in complex patients. In addition to his research, Dr. Barzilay has played a key role in national diabetes and hypertension guideline development, medical education, and dissemination of evidence-based care, shaping clinical practice across endocrinology and primary care.

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Kathrin Eichinger | Clinical Neuroscience | Outstanding Contribution Award

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Dr. Kathrin Eichinger | Clinical Neuroscience | Outstanding Contribution Award 

Dr. Kathrin Eichinger | Medizinische Universitat Wien | Austria

Dr. Med. Kathrin Eichinger is an Austrian physician specializing in Pediatrics and Pediatric Neurology, currently serving as a Consultant in Child and Adolescent Medicine with subspecialty training in Neuropediatrics at the Medical University of Vienna. Her clinical and academic focus lies in neuroimmunology, with ongoing doctoral research in neuroscience examining acute necrotizing encephalitis. Dr. Eichinger’s experience spans several leading medical institutions, including Sankt Anna Children’s Hospital and the Hospital of the Brothers of Mercy in Eisenstadt, complemented by an observership in Neurointensive Care and Neuroimmunology at the Children’s Hospital of Philadelphia. She has also contributed to clinical research through her involvement in the eSMART randomized controlled trial on electronic symptom management at the Medical University of Vienna. Her expertise is further supported by certification in pediatric EEG and active participation in numerous neuropediatric congresses and workshops across Europe. Multilingual in German, English, and Spanish, Dr. Eichinger combines her clinical acumen with strong research engagement, reflected in her growing academic footprint with an h-index of 3, five peer-reviewed documents, and approximately 45 citations. Her professional pursuits integrate advanced clinical training, translational neuroscience, and a dedication to improving pediatric neurocare.

Profile: Orcid

Featured Publications

  • Eichinger, K., Breu, M., Renken, M., Siegert, S., Hilz, E., Glatter, S., Csaicsich, D., Boehm, M., Lechner, C., Kornek, B., et al. (2025). Complications of therapeutic plasma exchange in pediatric neuroimmune disorders. Children, 12(11), 1457.

  • Grasl, S., Janik, S., Dressler, A., Diehm, R., Gröppel, G., Eichinger, K., Grasl, M. C., Gstoettner, W., Feucht, M., Vyskocil, E., et al. (2021). Management and outcome of vagus nerve stimulator implantation: Experience of an otolaryngeal/neuropediatric cooperation. European Archives of Oto-Rhino-Laryngology, 278(10), 3729–3738.

Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

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Dr. Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

Dr. Seyyed Ali | Zendehbad University of Mazandaran | Iran

Dr. Seyyed Ali Zendehbad is a multidisciplinary researcher specializing in biomedical signal processing, cognitive computational neuroscience, and neurorehabilitation technologies. His research integrates deep learning, pattern recognition, and multimodal biological data modeling to enhance fatigue detection and neurorehabilitation systems. He has authored several peer-reviewed papers in reputable journals such as Scientific Reports, IEEE Access, Sensing and Bio-Sensing Research, and Healthcare Technology Letters, focusing on hybrid AI frameworks, EMG signal processing, and muscle synergy-based biofeedback mechanisms. Dr. Zendehbad’s work on developing intelligent rehabilitation systems, including his models like TraxVBF and FatigueNet, contributes to advancing telemonitoring and assistive technologies for neurological recovery. His scholarly output includes more than 25 documents, over 600 citations, and an h-index of 12, reflecting his growing impact in computational neuroscience and biomedical engineering. Recognized for innovation, he has achieved first-place awards in multiple national startup competitions and was honored with the Best Poster Award at the Congress of Neurology and Clinical Electrophysiology of Iran. As a postdoctoral researcher at the University of Mazandaran, his ongoing work emphasizes integrating trustworthy AI into telehealth systems, promoting equitable and efficient digital healthcare delivery through interdisciplinary research and technological innovation.

Profile: Orcid

Featured Publications

1. Mazrooei Rad, E., Mazinani, S. M., & Zendehbad, S. A. (2025). Diagnosis of Alzheimer’s disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model. Computer Methods and Programs in Biomedicine Update, 5, 100192.

2. Zendehbad, S. A., Sharifi Razavi, A., Tabrizi, N., & Sedaghat, Z. (2025). A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective. Epilepsy Research, 207, 107582.

3. Mazrooei Rad, E., Zendehbad, S. A., & Hosseinzadeh, V. (2025). Fetal QRS complex detection based on adaptive filters and peak detection. Research on Biomedical Engineering, 41(3), 424–438.

4. Zendehbad, S. A., Ghasemi, J., & Samsami Khodadad, F. (2025). FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection. Scientific Reports, 15(1), 640.

5. Safdel, A., Zendehbad, S. A., & Ghasemi, J. (2025). Advanced deep learning approaches for accurate and efficient suspicious behavior detection in surveillance videos. Computational Sciences and Engineering, 21(2), 1099.

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.

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.

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.