Abdul-rahman Mumbu | Epidemiology | Best Researcher Award

Mr. Abdul-rahman Mumbu | Epidemiology | Best Researcher Award

Lecturer | Muslim University of Morogoro | Tanzania

Dr. Abdul-Rahman Japhary Mumbu is a dedicated Lecturer in Mathematics at the Muslim University of Morogoro, Tanzania, recognized for his expertise in applied mathematics, mathematical modeling, and epidemiological systems. He holds a Bachelor of Islamic Education (Mathematics/Islamic Studies) from the Muslim University of Morogoro, a Master of Science in Mathematics from the University of Dodoma, and is currently pursuing a Ph.D. in Mathematics at the University of Dar es Salaam. His professional journey reflects progressive academic leadership, having served as an Assistant Lecturer, Examinations Officer, and active participant in numerous international workshops and conferences on infectious disease modeling, partial differential equations, and data-driven research integration. Dr. Mumbu’s research primarily focuses on mathematical modeling of infectious diseases, with notable contributions to tuberculosis, pneumonia, and rabies dynamics, employing deterministic and fractional-order approaches integrated with sensitivity and optimal control analyses. His scholarly works, published in reputable journals such as Nonlinear Science, Scientific African, and Research in Mathematics, highlight his commitment to advancing public health modeling and data-driven decision-making. With 40 citations, 4 publications, and an h-index of 2, Dr. Mumbu continues to make impactful contributions to mathematical epidemiology and interdisciplinary research collaboration.

Profiles: Scopus | Google Scholar

Featured Publications

1. Mumbu, A. J., & Hugo, A. K. (2020). Mathematical modelling on COVID-19 transmission impacts with preventive measures: A case study of Tanzania. Journal of Biological Dynamics, 14(1), 748–766.

2. Mumbu, A. (2024). Modeling dynamics and stability analysis of pneumonia disease infection with parameters uncertainties control. Mathematics Open, 3(2430001), 1–35.

3. Abdulrahman, M., James, D., Dickson, B., & Jufren, N. (2025). Mathematical modeling of culling and vaccination for dog rabies disease transmission with optimal control and sensitivity analysis approach. Clinical and Molecular Epidemiology, 2(2), 1–11.

4. Mumbu, A., Mlay, G., Mayige, M., & Shaban, N. (2025). Modeling the transmission dynamics of two-strain TB with drug-sensitive and drug-resistant in Tanzania: A fractional order approach. Scientific African, e02731.

5. Mumbu, A. R., Mlay, G., Alendal, G., Mayige, M., Senkoro, M., & Shaban, N. (2025). Fractional order derivative modelling dynamics of tuberculosis with treatment and nutrition in Tanzania. Research in Mathematics, 12(1), 2517440.

Albert Eisenbarth | Infectious Diseases Prevention | Best Researcher Award

Dr. Albert Eisenbarth | Infectious Diseases Prevention | Best Researcher Award

Head of Medical Entomology Unit | Bundeswehr Hospital Hamburg | Germany

Albert Eisenbarth is an accomplished researcher at the Bundeswehr Hospital Hamburg, Germany, specializing in infectious diseases, tropical medicine, and vector biology. He holds a Ph.D. in Medical Biology from the University of Hamburg  where his doctoral work focused on the ecology and control of mosquito-borne pathogens. Over the years, Dr. Eisenbarth has gained extensive professional experience leading and collaborating on multidisciplinary research projects across Europe and Africa, particularly in the molecular detection and epidemiology of parasitic and vector-borne diseases. His research interests encompass mosquito ecology, disease transmission modeling, public health interventions, and the application of artificial intelligence in entomological studies. Dr. Eisenbarth possesses strong research skills in molecular biology, field entomology, data analytics, and bioinformatics, which he applies to enhance disease surveillance and vector control programs. His collaborative approach and scientific leadership have contributed to the success of international initiatives investigating malaria, leishmaniasis, and arbovirus transmission. A dedicated academic and mentor, he has co-authored numerous peer-reviewed papers published in reputed journals such as Scientific Data, Acta Tropica, and Travel Medicine and Infectious Disease. His contributions to research excellence have earned him recognition within the scientific community, including invitations to present at international symposia and participate in global health research networks. Dr. Eisenbarth’s continuing commitment to bridging field research with applied innovations reflects his passion for advancing global public health outcomes. His long-term vision involves fostering stronger international collaborations and mentoring early-career scientists in tropical disease research. Through his scholarly achievements and leadership, he continues to make a meaningful impact in biomedical research and public health policy.Dr. Albert Eisenbarth has an impressive academic record with 418 citations across 31 published documents and an h-index of 14, reflecting the strong impact and consistency of his research contributions in infectious diseases and vector biology.


Profiles : ORCID | Scopus

Featured Publications

1. Nolte, K., Agboli, E., Garcia, G. A., Badolo, A., Becker, N., Loc, D. H., Dworrak, T. V., Eguchi, J., Eisenbarth, A., de Freitas, R. M., et al. (2025). Comprehensive mosquito wing image repository for advancing research on geometric morphometric- and AI-based identification.

2. Lubbers, C., Amaral, L.-J., Colebunders, R., Brattig, N., Hadermann, A., & Eisenbarth, A. (2025, October). The last mile in onchocerciasis elimination: Diagnostic challenges.

3. Krüger, A., Balczun, C., Scheid, P. L., Hagen, R. M., & Eisenbarth, A. (2023). Molecular detection of Leishmania (Sauroleishmania) adleri (Trypanosomatida: Trypanosomatidae) in Sergentomyia sp. sand flies (Diptera: Psychodidae) in Mali and Niger.

4. Stoek, F., Barry, Y., Ba, A., Schulz, A., Rissmann, M., Wylezich, C., Sadeghi, B., Beyit, A. D., Eisenbarth, A., N’diaye, F. B., et al. (2022, April 15). Mosquito survey in Mauritania: Detection of Rift Valley fever virus and dengue virus and the determination of feeding patterns.

5. Ngwasiri, N. N., Brattig, N. W., Ndjonka, D., Liebau, E., Paguem, A., Leusder, D., Kingsley, M. T., Eisenbarth, A., Renz, A., & Daniel, A. M. (2021). Correction to: Galectins from Onchocerca ochengi and O. volvulus and their immune recognition by Wistar rats, Gudali zebu cattle and human hosts.