Augustine S. Samorlu

About

Augustine S. Samorlu is a computational biologist, higher education leader, and microbiology researcher whose work integrates artificial intelligence, structural bioinformatics, and molecular modeling to accelerate drug discovery against infectious diseases. With over a decade of experience in teaching, university administration, and academic leadership, he has served as Department Chairperson, Dean, and Director of Online Learning at Cuttington University, Liberia. His leadership has focused on advancing digital education, strengthening academic governance, and improving student success through innovative data-driven systems. His current doctoral research at Noida International University applies computational approaches, molecular dynamics simulations, and structure-based drug discovery to identify novel therapeutics against antimicrobial-resistant pathogens. He is committed to building scientific capacity and advancing digital transformation in higher education across Africa through international collaboration and innovation.

Employment

• Cuttington University Director of Online Learning
  2025 - Present
• Cuttington University Dean
  2018 - 2025
• CEPRES International University Lecturer/Department Head
  2018 - 2022
• Cuttington University High School İnstructor
  2014 - 2016
• William V. S. Tubman Gray High School Biology Instructor
  2012 - 2016

Education

• Noida International University PhD Scholar
  2024 - Present
• Kadir Has Üniversitesi Master of Science
  2016 - 2018
• International Academic and Management Association Center of Excellence (IAMA-CE) Post Graduate Diploma (PGD) in Epidemiology
  2015 - 2016
• Cuttington University Bachelor of Science (BSc.) Degree
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Comparison of ABO Blood Group, Rh Factor, and Genotype Frequency Among University Students in Liberia and Pakistan: A Cross‐Sectional Study
  Health Science Reports 2026 DOI: 10.1002/hsr2.72503
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• Identification of potent HIV-I integrase inhibitors through in-silico approaches
  Integrated Technologies in Electrical, Electronics and Biotechnology Engineering Volume 1 2026 DOI: 10.1201/9781003781011-93
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• Insights into Quinolone Resistance in Salmonella Typhi: Docking Analysis of Wild-Type and Mutant DNA Topoisomerase IV Subunit A
  2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI) 2026 DOI: 10.1109/ic3ecsbhi67834.2026.11469031
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• Quality Assessment and Recyclability of Plastic from Household Waste to Eco-Friendly Paver Block
  International Journal of Research in Environmental Science (IJRES) 2023
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• Prospect for Covid-19 Investigational Drugs: The Timeline (Prospect for Covid-19 Therapeutics)
  Zenodo 2022 DOI: 10.5281/ZENODO.7045400
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• Distribution of the ABO Blood Group and Rhesus Factor among Cuttington University Undergraduate Students
  International Journal of Science and Research (IJSR) 2022
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• The design of potent HIV-1 integrase inhibitors by a combined approach of structure-based virtual screening and molecular dynamics simulation
  Journal of Biomolecular Structure and Dynamics 2019 DOI: 10.1080/07391102.2018.1557559
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