Ouliana Ziouzenkova | Translational Neuroscience | Research Excellence Award

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.

Citation Metrics (Scopus)

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Featured Publications

Zhou Yu | Behavioral Neuroscience | Best Researcher Award

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.