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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Folasewa Abdulsalam | Translational Neuroscience | Research Excellence Award

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