Abouzar Bazyar | Finantial Mathematics | Best Researcher Award

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Dr. Abouzar Bazyar| Finantial Mathematics | Best Researcher Award

IRAN, Persian Gulf University Iran

Abouzar Bazyari is a dedicated academic at Persian Gulf University in Bandar Būshehr, Iran. Since 2011, he has been part of the Department of Statistics within the Faculty of Intelligent Systems Engineering and Data Science. Abouzar’s research focuses on risk models, ruin probabilities, and statistical methods. With numerous publications in top journals, he has contributed extensively to the fields of statistical modeling and insurance risk processes. His academic work emphasizes understanding the behavior of risk models under various conditions, exploring solutions for complex statistical challenges, and enhancing theoretical frameworks in risk management.

Publication Profile

Scopus

Orcid

🎓 Education

Abouzar Bazyari holds advanced degrees in statistics and related fields, showcasing his deep expertise in mathematical and statistical theories. His academic journey has been focused on building a comprehensive understanding of statistical models and their applications in risk analysis. He is committed to enhancing statistical methods for real-world problem-solving, particularly in areas such as insurance and financial modeling. Abouzar’s education underscores his commitment to contributing to statistical sciences through research and practical applications.

💼 Experience

Since 2011, Abouzar Bazyari has been a distinguished faculty member at Persian Gulf University, teaching and conducting research in the Department of Statistics. His role involves designing courses, mentoring students, and collaborating on research projects. His academic experience is rooted in the analysis of statistical processes related to risk management. With years of expertise in both teaching and research, Abouzar has established a strong reputation in the field, particularly through his work on ruin probabilities and statistical modeling. His professional contributions span both education and impactful research publications.

🏆 Awards & Honors

Abouzar Bazyari has received numerous accolades for his contributions to statistical sciences, including recognition for his work on risk modeling and ruin probabilities. His research articles are frequently published in prestigious journals such as the Journal of Statistical Planning and Inference and Communications in Statistics. These honors highlight his impact in the statistical community, particularly in the development of theories related to risk management and statistical inference. Abouzar’s work continues to be highly regarded for advancing the understanding of statistical challenges in risk models.

🔬 Research Focus

Abouzar Bazyari’s research primarily revolves around the study of ruin probabilities and statistical risk models. His work explores the intricacies of risk processes, including discrete-time models, insurance risk processes, and capital injections. Abouzar aims to enhance the theoretical understanding of risk management through the application of advanced statistical techniques. His recent publications delve into compound binomial models, state-space models, and Markov chain properties, all while seeking optimal solutions for insurance and financial risk management. His research continues to influence both theoretical advancements and practical applications in statistical modeling.

Publication Top Notes

  • On the Ruin Probabilities for a General Perturbed Renewal Risk Process
    Journal of Statistical Planning and Inference, 2023 | Preprint
    Contributors: Abouzar Bazyari

 

  • On the Ruin Probabilities in a Discrete Time Insurance Risk Process with Capital Injections and Reinsurance
    Sankhyā A: The Indian Journal of Statistics, 2023 | Preprint
    Contributors: Abouzar Bazyari

 

  • Inequalities on the Ruin Probability for Light-Tailed Distributions with Some Restrictions
    Communications in Statistics – Theory and Methods, 2023-11-22 | Journal article
    Contributors: Abouzar Bazyari

 

  • Ruin Related Quantities in a Class of State-Space Compound Binomial Models
    Journal of Statistical Modelling: Theory and Applications, 2023-07-11 | Journal article
    Contributors: Abouzar Bazyari

 

  • Optimal Ruin Probabilities in the Excess Loss Reinsurance Model
    Journal of Statistical Sciences, 2023-06-15 | Journal article
    Contributors: Abouzar Bazyari

 

  • Infinite Time Ruin Probability in the Risk Model of Excess Loss Reinsurance
    Journal of Statistical Sciences, 2022 | Journal article
    Contributors: Abouzar Bazyari

 

  • Ruin Probabilities for Two Risk Models with Asymptotically Independent and Dependent Classes
    Journal of the Iranian Statistical Society, 2022-08-22 | Journal article
    Contributors: Abouzar Bazyari

 

  • On the Evaluation of Ruin Probabilities in a Generalized Dual Binomial Risk Model Using Markov Property
    Communications in Statistics – Theory and Methods, 2022-07-12 | Journal article
    DOI: 10.1080/03610926.2022.2093910
    Contributors: Abouzar Bazyari

 

  • Ruin Probabilities in a Discrete-Time Risk Process with Homogeneous Markov Chain
    Journal of Statistical Modelling: Theory and Applications (JSMTA), 2022-07-05 | Journal article
    Contributors: Abouzar Bazyari

 

  • The Bayesian Wavelet Thresholding Estimators of Nonparametric Regression Model Based on Mixture Prior Distribution
    Journal of Statistical Sciences, 2021 | Journal article
    Contributors: Abouzar Bazyari

 

  • An Asymptotic Two-Sided Test in a Family of Multivariate Distribution
    Journal of Statistical Theory and Applications, 2020 | Journal article
    DOI: 10.2991/jsta.d.200511.001
    Contributors: Abouzar Bazyari

 

 

Chepkonga David | Mathematics | Best Researcher Award

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Dr. Chepkonga David | Mathematics | Best Researcher Award

David Kipngetich Chepkonga, born on June 16, 1992, in Kenya, is an emerging mathematician specializing in applied and computational mathematics. A Ph.D. candidate at Jomo Kenyatta University of Agriculture and Technology, his research focuses on innovative mathematical models for oil recovery optimization. With a Master’s in Computational Mathematics and a Bachelor’s in Mathematics and Computer Science (First Class Honors), David is an educator and researcher passionate about problem-solving and mentoring students. His work is widely recognized through publications and teaching contributions across Kenyan universities, reflecting his commitment to advancing mathematical sciences.

Publication Profile

Scholar

Education 🎓

Ph.D. Applied Mathematics (2021–Present): Jomo Kenyatta University of Agriculture and Technology – Research on oil recovery optimization. M.Sc. Computational Mathematics (2017–2019): Published two papers on fluid flow in collapsible tubes. B.Sc. Mathematics & Computer Science (2012–2016): Graduated First Class Honors. KCSE (2008–2011): Mean grade B+ at Benonin Day Secondary School. KCPE (1998–2006): Scored 386/500 at Maji Mazuri Forest Primary School.

Work Experience 🧑‍🏫

Part-Time Lecturer (2019–Present): Jomo Kenyatta University, teaching, supervising research, and developing course materials. Lecturer at Various Universities (2020–2023): Including Kirinyaga, Muranga, Zetech, and Gretsa Universities. ICT Supervisor (2019): National Census, Kenya. Teacher (2014): Arama Secondary School, taught Mathematics, Physics, and Chemistry.

Awards & Honors 🏅

Principal’s Excellence Award (2014): JKUAT. Pan African University Scholarship (2017–2019): Recognized for academic excellence. Best Paper Award: Published papers on fluid mechanics in indexed journals. Research Grants: Secured funding for academic research projects. Conference Invitations: Featured speaker at national and international mathematics events.

Research Focus 🔬

Mathematical Modeling: Optimizing oil recovery and fluid dynamics in collapsible tubes. Applied Mathematics: Practical applications in engineering and physics. Computational Techniques: Advanced simulations in MATLAB, R, and other programming tools. Student Mentorship: Supervising undergraduate projects on financial modeling and fluid mechanics.

Conclusion

David Kipngetich Chepkonga is a strong contender for the Best Researcher Award. His academic achievements, research contributions, and dedication to teaching and community service exemplify the qualities of an outstanding researcher and educator. Addressing areas such as increased international collaboration and broader research dissemination will further solidify his case for this prestigious recognition.

Publication

  1. Fluid flow and heat transfer through a vertical cylindrical collapsible tube in the presence of magnetic field and an obstacle
    • Year: 2019
    • Authors: D. Chepkonga, R. Kiogora, K. Giterere
    • Citation: Chepkonga, D., Kiogora, R., & Giterere, K. (2019). Fluid flow and heat transfer through a vertical cylindrical collapsible tube in the presence of magnetic field and an obstacle. International Journal of Advances in Applied Mathematics and Mechanics, 71, 62–71.

 

  1. Modelling heat and mass transfer in gyro-tactic hybrid nanofluid flow through a converging pipe with injection and suction
    • Year: 2025
    • Authors: D. Chepkonga, M. Kinyanjui, R. Kiogora, K. Giterere
    • Citation: Chepkonga, D., Kinyanjui, M., Kiogora, R., & Giterere, K. (2025). Modelling heat and mass transfer in gyro-tactic hybrid nanofluid flow through a converging pipe with injection and suction. International Journal of Ambient Energy, 46(1), 2442592.

 

  1. Mathematical Modelling of Multiphase Hybrid Gyro-tactic Nanofluid Flow Through Porous Convergent Pipe with Injection and Suction Using BVP4c
    • Year: 2024
    • Authors: C. David, M. Kinyanjui, R. Kiogora, K. Giterere
    • Citation: David, C., Kinyanjui, M., Kiogora, R., & Giterere, K. (2024). Mathematical Modelling of Multiphase Hybrid Gyro-tactic Nanofluid Flow Through Porous Convergent Pipe with Injection and Suction Using BVP4c. Applied and Computational Mathematics, 13(6), 211–223.

 

  1. Fluid flow and heat transfer through a vertical cylindrical collapsible tube in presence of magnetic field and an obstacle
    • Year: 2024
    • Authors: C. David, D. Chepkonga, R. Kiogora
    • Citation: David, C., Chepkonga, D., & Kiogora, R. (2024). Fluid flow and heat transfer through a vertical cylindrical collapsible tube in presence of magnetic field and an obstacle. Authorea Preprints.

 

  1. Mathematical Modelling of Fluid Flow in Open Circular Channels in Sewerage Systems
    • Year: 2024
    • Authors: C. David, D. Chepkonga, W. Kulei, C. Owuor
    • Citation: David, C., Chepkonga, D., Kulei, W., & Owuor, C. (2024). Mathematical Modelling of Fluid Flow in Open Circular Channels in Sewerage Systems. Authorea Preprints.

 

  1. Modeling the spread of Mpox viral disease in African countries using a Bayesian hierarchical model
    • Year: 2024
    • Authors: A.K. Langat, S.M. Mwalili, L.N. Kazembe, D. Chepkonga, J.M. Kamwele
    • Citation: Langat, A.K., Mwalili, S.M., Kazembe, L.N., Chepkonga, D., & Kamwele, J.M. (2024). Modeling the spread of Mpox viral disease in African countries using a Bayesian hierarchical model. Commun. Math. Biol. Neurosci., Article ID 122.

 

  1. Heat Transfer on a Non-Newtonian Hydromagnetic Fluid Flow through a Convergent Conduit with Chemical Reaction and Soret Effects
    • Year: 2024
    • Authors: N.C. Wawira, D.C. Edward Richard Onyango
    • Citation: Wawira, N.C., & Onyango, D.C.E.R. (2024). Heat Transfer on a Non-Newtonian Hydromagnetic Fluid Flow through a Convergent Conduit with Chemical Reaction and Soret Effects