Bukola Omotoso | Neuroscience | Best Researcher Award

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Dr. Bukola Omotoso | Neuroscience | Best Researcher Award

Dr. Bukola Omotoso, University of the Free State, South Africa 

Dr. Bukola Rukayat Omotoso is a distinguished Nigerian research scientist specializing in neuroanatomy and clinical anatomy. She earned her Ph.D. in Health Sciences (Anatomy) from the University of KwaZulu-Natal (UKZN), South Africa, in 2022, focusing on the neuroanatomy of the vertebral arteries. Her academic journey includes a B.Tech in Anatomy from Ladoke Akintola University of Technology and an M.Sc. in Anatomy from Obafemi Awolowo University. Dr. Omotoso has held postdoctoral fellowships at UKZN and the University of the Free State, contributing to research in pediatric antiretroviral therapy, pharmacovigilance, and anatomical education. Her expertise encompasses translational research, neuroimaging, and anatomical variations, with significant publications in reputable journals. She is also an editorial board member for several scientific journals, reflecting her commitment to advancing anatomical sciences.

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Suitability Summary for Research for Best Researcher Award: Bukola Rukayat Omotoso

Dr. Bukola Rukayat Omotoso stands out as a highly suitable candidate for the Research for Best Researcher Award due to her strong academic background, diverse research expertise, and proven track record of impactful scientific contributions. Holding a Ph.D. in Health Sciences (Anatomy) from the University of KwaZulu-Natal, she has demonstrated deep specialization in translational and clinical research, neuroanatomy, neuroimaging, and anatomical education. Her doctoral research, which explored intricate aspects of vertebral arteries in a South African population, reflects a commitment to advancing fundamental scientific knowledge with practical health implications.

With over five years of rigorous research experience, Dr. Omotoso has honed her analytical and technical skills, enabling her to manage complex projects effectively within multidisciplinary and fast-paced environments. Her expertise spans advanced biostatistical methods, R programming, epidemiologic methodologies, and clinical research protocols, evidencing a solid command of both laboratory and clinical research domains. Moreover, her ability to secure and prepare grant applications and publish scientific manuscripts illustrates her dedication to expanding scientific frontiers and contributing to the broader research community.

🎓 Education 

Dr. Omotoso’s academic foundation is rooted in a B.Tech in Anatomy from Ladoke Akintola University of Technology, Nigeria. She advanced her studies with an M.Sc. in Anatomy from Obafemi Awolowo University, where her thesis explored the protective effects of Moringa oleifera on lead-induced hepatotoxicity. Pursuing her passion for neuroanatomy, she completed a Ph.D. in Health Sciences (Anatomy) at the University of KwaZulu-Natal, South Africa, in 2022. Her doctoral research provided an in-depth anatomical exploration of the vertebral arteries in a South African population. Dr. Omotoso has also enhanced her research skills through workshops in manuscript writing, medical statistics, and research ethics, including training in Good Clinical Practice.

💼 Professional Experience 

Dr. Omotoso’s professional journey includes postdoctoral fellowships at the University of KwaZulu-Natal and the University of the Free State, where she contributed to research on neuroanatomy, vascular anatomy, and pharmacovigilance. At UKZN, she was involved in teaching anatomy modules and co-supervising research projects. Her role at the University of the Free State focuses on pediatric antiretroviral therapy and clinical research. Previously, she served as a Measles Technical Officer for the WHO in Nigeria, supporting immunization campaigns. Her experience also includes roles in monitoring and evaluation for HIV/AIDS programs, emphasizing data management and quality assurance.

🏅 Awards and Recognition

Dr. Omotoso’s contributions to anatomical sciences have been recognized through her appointment to editorial boards of journals such as Folia Medica Indonesiana and Majalah Biomorfologi. Her research has been published in esteemed journals, reflecting her impact in the field. Notably, her doctoral study on the neuroanatomy of vertebral arteries has been acknowledged for its clinical relevance. Her commitment to research excellence is further demonstrated by her active participation in international conferences and collaborative projects.

🌍 Research Skills On Neuroscience

Dr. Omotoso possesses a robust set of research skills, including expertise in scientific writing, clinical research methodologies, and various imaging techniques such as brightfield and fluorescence microscopy. She is proficient in digital image analysis using ImageJ and has experience with multidetector computed tomography angiography (MDCTA) for vascular studies. Her analytical capabilities extend to biostatistics, utilizing software like GraphPad, R, and SPSS. She is adept in conducting systematic reviews and meta-analyses, and has a strong foundation in data management. Her training includes modules in research ethics and Good Clinical Practice, ensuring adherence to ethical standards in her research endeavors.

📖 Publication Top Notes

  • Title: Lead-Induced Damage on Hepatocytes and Hepatic Reticular Fibres in Rats; Protective Role of Aqueous Extract of Moringa oleifera Leaves (Lam)
    Authors: BR Omotoso, AA Abiodun, OM Ijomone, SO Adewole
    Citation: Journal of Biosciences and Medicines, 3(05), 27
    Citations: 48
    Year: 2015

  • Title: An anatomical investigation of the proximal vertebral arteries (V1, V2) in a select South African population
    Authors: BR Omotoso, R Harrichandparsad, IG Moodley, KS Satyapal, L Lazarus
    Citation: Surgical and Radiologic Anatomy, 43, 929–941
    Citations: 30
    Year: 2021

  • Title: Radiological anatomy of the intracranial vertebral artery in a select South African cohort of patients
    Authors: BR Omotoso, R Harrichandparsad, KS Satyapal, IG Moodley, L Lazarus
    Citation: Scientific Reports, 11(1), 12138
    Citations: 17
    Year: 2021

  • Title: Fenestration of the vertebrobasilar junction detected with multidetector computed tomography angiography
    Authors: BR Omotoso, R Harrichandparsad, IG Moodley, KS Satyapal, L Lazarus
    Citation: Folia Morphologica, 81(2), 510–514
    Citations: 9
    Year: 2022

  • Title: Prevalence of anatomical variations at the suboccipital (V3) segment of the vertebral artery: a systematic review
    Authors: BR Omotoso, R Harrichandparsad, L Lazarus
    Citation: Neuroradiology, 65(12), 1677–1684
    Citations: 6
    Year: 2023

  • Title: Exploring the anatomical configurations of the cerebral arteries in a cohort of South African patients
    Authors: G Sibiya, BR Omotoso, R Harrichandparsad, L Lazarus
    Citation: Scientific Reports, 14(1), 6060
    Citations: 4
    Year: 2024

  • Title: Hemifacial microsomia: a scoping review on progressive facial asymmetry due to mandibular deformity
    Authors: PM Atiba, BR Omotoso, A Madaree, L Lazarus
    Citation: Oral and Maxillofacial Surgery, 28(4), 1441–1455
    Citations: 3
    Year: 2024

  • Title: Radiological anatomy of the vertebrobasilar artery in a select South African population
    Authors: EE Anirudh, BR Omotoso, L Lazarus
    Citation: Translational Research in Anatomy, 27, 100205
    Citations: 3
    Year: 2022

  • Title: Ophthalmic artery arising from the external carotid artery system: the middle meningeal artery in South African patients
    Authors: BR Omotoso, R Harrichandparsad, L Lazarus
    Citation: BMC Ophthalmology, 23(1), 238
    Citations: 2
    Year: 2023

  • Title: Right vertebral artery arising from the right common carotid artery with an absent brachiocephalic trunk
    Authors: BR Omotoso, R Harrichandparsad, L Lazarus
    Citation: Surgical and Radiologic Anatomy, 44(5), 733–736
    Citations: 2
    Year: 2022

Prof. Huafu Chen | Neuroscience | Best Researcher Award

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Prof. Huafu Chen | Neuroscience | Best Researcher Award

Prof. Huafu Chen, University of Electronic Science and Technology of China, China

Huafu Chen, a distinguished neuroscientist, serves as Dean and Professor at the University of Electronic Science and Technology of China. With a Ph.D. in biomedical engineering earned in 2004, he has dedicated his career to unraveling the mysteries of the human brain. His research delves into advanced pattern recognition techniques for magnetic resonance imaging (MRI) data, with a focus on understanding neuroimaging mechanisms in neurological and psychiatric disorders. A recipient of prestigious honors such as the National Science Fund for Outstanding Young Scholars and the Yangtze River Scholars award, Professor Chen is a driving force behind innovations in clinical imaging for diagnosis and evaluation. His contributions have paved the way for critical advancements in neuroscience, marked by his publication of over 300 high-impact SCI papers.

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Summary of Suitability for the Award

Professor Huafu Chen is a distinguished academic and researcher with a profound impact in the field of brain imaging and pattern recognition. With a Ph.D. in biomedical engineering from the University of Electronic Science and Technology of China and a successful career as a professor and dean at the same institution, Professor Chen has contributed immensely to the understanding of neurological and psychiatric diseases. His research primarily revolves around the development of artificial intelligence methods for analyzing magnetic resonance imaging (MRI) data, aiding in clinical diagnoses and assessments. Notably, his contributions to neuroimaging mechanisms have established significant advancements, with his work cited extensively in the scientific community.

🎓 Education 

Huafu Chen earned his Ph.D. in biomedical engineering from the University of Electronic Science and Technology of China (UESTC) in 2004. His academic journey has been characterized by an unwavering commitment to understanding the complexities of brain imaging and neuroengineering. Through rigorous training and research, he has developed expertise in analyzing magnetic resonance imaging (MRI) data and applying pattern recognition to elucidate neurological phenomena. Chen’s extensive education has laid the foundation for his impactful work, particularly in bridging the gap between engineering and neuroscience. His academic contributions have inspired students and peers alike, and he continues to drive innovative research projects in the School of Life Science and Technology at UESTC. His educational background is complemented by numerous postdoctoral collaborations, which have expanded his knowledge in neuroimaging and artificial intelligence.

💼  Professional Experience 

Professor Huafu Chen currently serves as Dean and Professor at the School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC). Over his illustrious career, he has spearheaded pioneering research in brain imaging and pattern recognition. His expertise lies in analyzing MRI data to uncover patterns linked to neurological and psychiatric conditions. As a leader in his field, he has directed numerous high-profile research projects, including collaborations with the Ministry of Science and Technology and the National Natural Science Foundation of China. His editorial role in Cognitive Neurodynamics and involvement with the China Society of Image and Graphics reflect his commitment to advancing neuroscience. Beyond academia, he has successfully engaged in consultancy and industrial collaborations, contributing innovative solutions to pressing medical challenges. Chen’s work has earned him a reputation as a visionary researcher, continually pushing the boundaries of neuroscience and clinical diagnostics.

🏅   Awards and Recognition 

Huafu Chen’s groundbreaking work has earned him several prestigious awards and honors. He received the National Science Fund for Outstanding Young Scholars, a testament to his remarkable contributions to neuroscience research. Additionally, he was honored with the Yangtze River Scholars award, which recognizes his academic excellence and leadership in the field. His research, often cited in high-impact journals like PNAS, Nature Communications, and Science Advances, has been foundational in understanding brain imaging mechanisms. As Vice Chairman of the Visual Cognition and Computing Committee, Chen actively shapes research agendas and promotes innovation. His impact extends to editorial roles, such as his position as Editor of Cognitive Neurodynamics. With more than 10,000 citations in scientific literature, his work has influenced a broad spectrum of neuroscience and clinical applications. These accolades underscore his status as a leading authority in brain imaging and pattern recognition.

🌍 Research Skills 

Professor Huafu Chen is a master of neuroimaging techniques and pattern recognition in magnetic resonance imaging (MRI). His research skill set is tailored to extracting meaningful insights from complex brain imaging data, emphasizing methods that aid in diagnosing neurological and psychiatric conditions. He is proficient in designing AI-driven algorithms that discern subtle imaging patterns, offering new perspectives on brain function and disorder mechanisms. His expertise extends to clinical imaging analysis, providing vital imaging evidence to improve diagnostic and evaluative practices. Chen has also excelled in interdisciplinary collaborations, applying neuroscience methods to real-world healthcare challenges. His technical acumen, combined with a strategic research approach, has led to the development of innovative imaging solutions. By integrating computational neuroscience with clinical research, he aims to make tangible improvements in medical diagnostics and patient outcomes. His skill set positions him at the forefront of modern neuroscience and medical technology.

📖 Publiaction Top Notes

  • Title: Search for physics beyond the standard model in dilepton mass spectra in proton-proton collisions at TeV
    Cited by: 674
  • Title: Altered functional–structural coupling of large-scale brain networks in idiopathic generalized epilepsy
    Cited by: 582
  • Title: Altered functional connectivity and small-world in mesial temporal lobe epilepsy
    Cited by: 579
  • Title: IL4-driven microglia modulate stress resilience through BDNF-dependent neurogenesis
    Cited by: 380
  • Title: Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI
    Cited by: 376