Przemyslaw Bozko | Disease Modeling | Innovative Research Award

Published on by Global Diseases Research

Innovative Research Award

Przemyslaw Bozko
Eberhard Karls University of Tübingen

                  Przemyslaw Bozko
Affiliation Eberhard Karls University of Tübingen
Country Germany
Scopus ID 6507858927
Documents 52
Citations 3,363
h-index 24
Subject Area Disease Modeling
Event Global Diseases Research Awards
ORCID 0000-0001-8126-3686

The Innovative Research Award recognizes researchers whose scientific contributions demonstrate originality, methodological excellence, and measurable academic influence. Przemyslaw Bozko has established a research profile in disease modeling through multidisciplinary investigations that contribute to biomedical understanding and evidence-based research development. His publication record, citation performance, and scholarly collaborations reflect sustained engagement with internationally recognized research initiatives.[1]

Abstract

Przemyslaw Bozko is recognized for scholarly contributions to disease modeling and interdisciplinary biomedical research. His scientific work integrates computational approaches with biological investigations to improve understanding of disease mechanisms and support evidence-based research outcomes. With 52 indexed publications, 3,363 citations, and an h-index of 24, his academic profile demonstrates sustained research productivity and measurable scientific influence. These achievements reflect continuous engagement in international collaborations, publication in peer-reviewed journals, and contributions that support innovation across disease modeling and related biomedical disciplines, making his research suitable for recognition through the Innovative Research Award.[1]

Keywords

Disease Modeling, Computational Biology, Biomedical Research, Scientific Innovation, Translational Science, Systems Biology, Research Excellence, Innovative Research Award.

Introduction

Disease modeling supports scientific understanding by integrating computational analysis with biological evidence. Researchers working in this discipline contribute to improved experimental design, predictive studies, and translational applications that advance healthcare research through multidisciplinary collaboration and validated scientific methodologies.[2]

Research Profile

Przemyslaw Bozko is affiliated with Eberhard Karls University of Tübingen, Germany. His Scopus profile records 52 publications with 3,363 citations and an h-index of 24, reflecting consistent scientific productivity and sustained recognition within disease modeling and biomedical research communities.[1]

Research Contributions

His research contributes to computational disease analysis, biological system modeling, and interdisciplinary investigations that improve scientific understanding of disease mechanisms. These studies support methodological development while encouraging collaboration between computational, clinical, and life science research communities.[2]

Publications

His publication portfolio includes peer-reviewed research addressing disease modeling and biomedical sciences. The collective body of work demonstrates consistent scientific quality, international collaboration, and contributions published through recognized academic journals indexed by major scholarly databases.[3]

Research Impact

The citation record and h-index indicate substantial academic visibility and research influence. His publications have contributed to ongoing scientific discussions while supporting further investigations across computational biology, disease modeling, and interdisciplinary biomedical research.[4]

Award Suitability

Based on publication productivity, citation performance, interdisciplinary research, and measurable scholarly impact, Przemyslaw Bozko demonstrates qualifications consistent with the objectives of the Innovative Research Award, recognizing scientific innovation and sustained academic excellence in disease modeling.[5]

Conclusion

Przemyslaw Bozko’s academic achievements illustrate consistent scientific productivity, interdisciplinary collaboration, and meaningful research influence. His contributions to disease modeling support continued advancement in biomedical research, making his profile well aligned with the standards recognized by international research award programs.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Przemyslaw Bozko, Author ID 6507858927. Scopus.
    https://www.scopus.com/pages/authors/6507858927
  2. Global Diseases Research Awards. (n.d.). Innovative Research Award.
    https://globaldiseases.org/
  3. Nguyen, M. L. T., Bui, L. A., Pham, C., Nham, P. L. T., Can, V. M., Doan, T. D. H., Bozko, P., Bui, K. C., & Nguyen, L. T. (2025). Adiponectin receptor agonist suppresses human colorectal cancer. Anticancer Research. Advance online publication.
    https://doi.org/10.21873/anticanres.17670
  4. Klein, S. M., Bozko, M., Toennießen, A., Rangno, D., & Bozko, P. (2024). High p53 protein level is a negative prognostic marker for pancreatic adenocarcinoma. Cancers, 16(23), 3975.
    https://doi.org/10.3390/ijms252212307
  5. Nguyen, M. L. T., Pham, C., Nguyen, T. S., Nham, P. L. T., Do, Q. C., Tran, P. L., Nguyen, A. V., Nguyen, N. N., Le, D. L., Tran, A. T. T., Nguyen, T. L., Bozko, P., Nguyen, L. T., & Bui, K. C. (2024). Single-agent Adavosertib shows anticancer effects against colorectal cancer cells. Anticancer Research, 44(11), 4941–4949.
    https://doi.org/10.21873/anticanres.17319

SK Tithi | Disease Modeling | Best Researcher Award

Published on by Global Diseases Research

Mrs. SK Tithi | Disease Modeling | Best Researcher Award 

Researech Assistant | University of Rajshahi | Bangladesh

Sazia Khatun Tithi is an emerging Bangladeshi researcher from the Department of Mathematics, University of Rajshahi, with a strong academic foundation and a growing research profile in applied mathematics and public health modeling. She is currently pursuing her M.Phil. in Mathematics (Public Health) at the University of Rajshahi, following her M.S. and B.Sc. degrees in Mathematics from the same institution, where she achieved excellent results with GPAs of 3.75 and 3.37 respectively. Her thesis, titled “A Study on Generalized Inverses of Matrices,” reflects her analytical depth and mathematical rigor. Sazia has received several merit scholarships and awards, including honors from the Education Board of Rajshahi, Dutch Bangla Bank, and Prothom Alo Newspaper, recognizing her academic excellence. Actively engaged in research, she currently leads a team under Dr. Md. Abdul Kuddus focusing on mathematical modeling of infectious diseases such as malaria, and serves as a Research Assistant on an influenza transmission dynamics project. She has participated in prestigious national conferences organized by BUET and the Bangladesh Mathematical Society, presenting her research contributions. Skilled in MATLAB, Fortran, R, Python, and LaTeX, she combines technical proficiency with research leadership. A dedicated learner and researcher, she aims to advance her career as an educator, scientist, and academic leader in mathematical and epidemiological modeling. Her research interests focus on biomathematics, particularly disease transmission and prevention modeling. As of now, her research profile includes 9 citations and an h-index of 1.

Profiles: Google Scholar | ORCID

Featured Publications

1. Khatun Tithi, S., Paul, A. K., & Kuddus, M. A. (2023). Mathematical investigation of a two-strain disease model with double dose vaccination control policies. Results in Physics, 53, 106930. Cited by: 7

2. Kuddus, M. A., Khatun Tithi, S., & Theparod, T. (2024). Implications of asymptomatic carriers for tuberculosis transmission and control in Thailand: A modelling approach. Symmetry, 16(11), 1538. Cited by: 1

3. Kuddus, M. A., Khatun Tithi, S., Paul, A. K., Mustareen, M., & Rahman, A. (2024). Economic evaluation of a two-strain Hepatitis C vaccination model in Bangladesh using optimal control technique. The European Physical Journal Plus, 139(8), 691. Cited by: 1

4. Kuddus, M. A., Khatun Tithi, S., & Sarker, S. (2025). Modeling intervention strategies to control Hepatitis C outbreak and related mortality in Bangladesh. Mathematics, 13(18), 3009.

5. Kuddus, M. A., Khatun Tithi, S., & Theparod, T. (2025). Modelling the impact of vaccination and other intervention strategies on asymptomatic and symptomatic tuberculosis transmission and control in Thailand. Vaccines, 13(8), 868.