Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Genomac Institute Inc. Nigeria

Darasimi Racheal Olorunlowu is a passionate and highly motivated graduate of Anatomy with a keen interest in Neuroscience, particularly neurodegeneration and brain health 🧠. With a solid academic background and growing research portfolio, she is committed to making impactful contributions to the scientific understanding of neurogenomics and neurodegenerative diseases. Her collaborative spirit, scientific curiosity, and strong analytical skills make her a standout emerging researcher in the Nigerian neuroscience community 🇳🇬.

Publication Profile

ORCID

🎓 Educational Background

Darasimi earned her Bachelor of Technology (B.Tech) in Anatomy from Ladoke Akintola University of Technology (LAUTECH), Nigeria, where she graduated with a commendable CGPA of 4.17/5.00 (3.63/4.00 iWES equivalent) 📚. Prior to this, she completed her secondary education at Royalpath College, Lagos, where she laid a strong foundation in biology, chemistry, and physics—subjects that would later shape her interest in brain research.

🧪 Professional Experience

She is currently a Research Intern at Genomac Institute Inc. (2025–present), where she analyzes large-scale genomic datasets and develops bioinformatics pipelines using tools like R, SPSS, and Geneious. She served as an Academic Tutor during her National Youth Service (2023–2024), supporting biology and neuroscience education at the secondary level. Her earlier role as a Research Assistant with the LAUTECH Neuroscience Group (2023–2024) involved histological analysis, literature reviews, data visualization, and manuscript preparation. Additionally, she completed internships in histopathology and conducted an undergraduate research project focused on drug-induced liver toxicity 🧫🔍.

🏆 Awards and Honors

Darasimi has been recognized by the LAUTECH Neuroscience Group and the International Brain Research Organization (IBRO) for her outstanding contributions to research, capacity building, and community development in neuroscience 🌍🏅. She has also obtained multiple certifications from institutions like the University of Michigan, HRH-CERID, and Gen’Omics Research Hub, which further solidify her training in neuroanatomy, genomics, and molecular diagnostics.

🧠 Research Focus

Her research focus centers around neurogenomics, neurodegenerative diseases, and molecular neuroscience 🧬. She has contributed to studies on Parkinson’s disease, mental stress pathways, and genetic markers associated with neurodegeneration. Her expertise in histology, molecular biology, and statistical data analysis underpins her multidisciplinary approach to understanding brain function and pathology. She is also actively engaged in bioinformatics-driven investigations and in silico modeling to identify hub genes and regulatory networks related to neurological disorders.

🔚 Conclusion

With an impressive early-career research track, multiple co-authored publications, and a strong commitment to advancing brain science, Darasimi Racheal Olorunlowu stands out as a promising neuroscience researcher. Her dedication to learning, collaborative leadership, and skillful scientific communication make her a valuable contributor to the global neuroscience community 🌐📖.

📚 Top Publications 

Neurogenomics Contributions to Neurodegenerative Disease
Adeleye, O. O., Olorunlowu, D. R., et al. (2024)
Nepal Journal of Neuroscience
DOI: 10.3126/njn.v21i1.58673
Cited by: 5 articles

Unraveling the Complex Tapestry of Mental Stress: A Multifaceted Exploration of Pathways, Consequences, and Remedies
Adeleye, O. O., Akindokun, S., Olorunlowu, D. R., et al. (2024)
European Journal of Neuroscience
DOI: 10.22541/au.172115134.42168367/v1
Cited by: 3 articles

Molecular, Genetic and Population Approaches of Brain Health: The African Perspective
Adeleye, O. O., Olorunlowu, D. R., et al. (2023)
Neuroscience Journal of Nigeria (Accepted)
Cited by: Upcoming publications

The Socioeconomic Impact of Lassa Fever in Nigeria
Akindokun, S.S., Adeleye, O.O. & Olorunlowu, D.R. (2024)
Discover Public Health, 21(133)
DOI: 10.1186/s12982-024-00265-z
Cited by: 4 articles

In Silico Analysis For Identification Of Hub Genes And Their Regulatory Network In Parkinson’s Disease Putamen
Akanbi, S. T., Yusuf, J. A., Olorunlowu, D.R., et al. (2025)
Egyptian Journal of Medical Human Genetics, 26(9)
DOI: 10.1186/s43042-025-00643-5
Cited by: 2 articles

Molecular Mechanism Underlying Stress Response And Adaptation
Yusuf, J. A., Akanbi, S. T., Olorunlowu, D. R., et al. (2025)
Progress in Brain Research, Elsevier
 DOI: 10.1016/bs.pbr.2025.01.005
Cited by: 6 articles

Jihyeon Ryu | Computer Science | Best Researcher Award

Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.