Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

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Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

Assistant Professor, RAJUK Uttara Model College, Bangladesh

Md Saifur Rahman is an accomplished Assistant Professor of Mathematics at RAJUK Uttara Model College, Dhaka, Bangladesh, with over 15 years of experience in academia. He is currently pursuing his Ph.D. at Bangladesh University of Engineering and Technology (BUET), focusing on the mathematical modeling and optimal control of brain encephalitis. He has made notable contributions in mathematical biology, computational modeling, and infectious disease epidemiology. His interdisciplinary work bridges mathematics with real-world biomedical problems, and he actively presents his research across national and international platforms.

Publication Profile

ORCID

🎓 Education Background

Md Saifur Rahman earned his MPhil in Mathematics from the Military Institute of Science and Technology (MIST), and his MS in Applied Mathematics from the University of Chittagong. He is currently pursuing a Ph.D. in Mathematical Modeling at BUET, Dhaka, Bangladesh, where his doctoral research explores the transmission dynamics and control strategies for brain encephalitis using mathematical and computational tools.

💼 Professional Experience

Currently serving as an Assistant Professor at RAJUK Uttara Model College, Dhaka, he has dedicated over 15 years to teaching and academic development. His expertise extends into scientific computing using COMSOL Multiphysics and MATLAB. He has delivered invited lectures on ICT-enabled education and continues to influence the educational landscape through both innovation and research.

🏆 Awards and Honors

Md Saifur Rahman received the Best Teacher Award in 2011 for his innovative use of multimedia content in teaching. He has also been recognized for delivering invited talks in ICT and education, and his academic influence spans several conferences across Bangladesh, Nepal, and Canada.

🔬 Research Focus

His research focuses on mathematical biology, fluid dynamics, and epidemiology, particularly modeling the transmission of infectious diseases like viral and bacterial encephalitis. He has developed mathematical models incorporating optimal control strategies to aid public health interventions. His work involves advanced computational tools such as COMSOL, Tecplot, and MATLAB to simulate disease spread and evaluate mitigation techniques.

🔚 Conclusion

Md Saifur Rahman is a dedicated scholar blending theoretical mathematics with applied health science, creating a meaningful impact in the fields of disease modeling and educational innovation. Through his interdisciplinary contributions and international presentations, he continues to build bridges between computation, biology, and societal well-being.

📚 Top Publications

  1. Mathematical Modeling and Optimal Control of Viral Encephalitis
    🔗 Published in MDPI Mathematics (2024)
    🗓 Year: 2024
    📊 Cited by: 4 articles on ResearchGate
    📌 Summary: This paper presents an optimal control model for viral encephalitis and its implications for intervention strategies.

  2. Numerical Study of Heat and Mass Transfer in Nanofluid Flow Through Lid-Driven Porous Cavity
    🔗 Published in Scopus-indexed conference proceedings (2022)
    🗓 Year: 2022
    📊 Cited by: 2 articles
    📌 Summary: Investigates nanofluid behavior using computational simulations with practical applications in energy systems.

  3. Computational Modeling of Japanese Encephalitis Transmission Dynamics
    🔗 Preprint on ResearchGate (2023)
    🗓 Year: 2023
    📊 Cited by: 1 article
    📌 Summary: Extends previous research to analyze vector-borne transmission and optimal interventions.

  4. Epidemiological Insights into Bacterial Encephalitis Using Mathematical Tools
    🔗 Under review, MDPI Mathematics
    🗓 Year: 2025 (expected)
    📌 Summary: Explores bacterial encephalitis modeling to enhance public health strategy development.

 

João Maurício de Carvalho | Mathematics | Best Researcher Award

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Prof Dr. João Maurício de Carvalho | Mathematics | Best Researcher Award

Associate member, CMUP, Portugal

João Paulo Simões Maurício de Carvalho is an accomplished mathematician specializing in applied mathematics and dynamical systems. As an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), his research delves into complex mathematical models, particularly in epidemiology. With a strong background in mathematical engineering and astronomy, João Paulo is dedicated to advancing knowledge in his field through innovative research and active participation in academic conferences.

Publication Profile

Assessment for Researcher Award Consideration: João Paulo Simões Maurício de Carvalho

Strengths for the Award:

  1. Academic Excellence: João has a robust academic background, including a Ph.D. in Applied Mathematics and a MSc in Mathematical Engineering from prestigious institutions. His education aligns well with his research focus, particularly in the areas of mathematical modeling and dynamical systems.
  2. Publication Record: João has a solid portfolio of publications in reputable journals, including contributions to the SIR model in epidemiology, fractional models for diseases like COVID-19 and Type 1 Diabetes, and studies on AIDS-defining malignancies. His work is well-cited, indicating its impact in the field.
  3. Conference Contributions: He has been an active participant in several national and international conferences, both as a speaker and attendee. His invitations to speak at various events highlight his recognition in the academic community.
  4. Research Grants and Memberships: João has been the recipient of multiple research grants, demonstrating his ability to secure funding for his research projects. He is also an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), further validating his standing in the academic community.
  5. Peer Review Contributions: His role as a peer reviewer for the International Journal of Applied and Computational Mathematics shows his expertise is trusted by peers, adding to his credibility.

Areas for Improvement:

  1. Broader Impact: While João’s research is highly specialized, expanding the application of his work to broader fields or interdisciplinary areas could increase its impact and appeal for broader recognition.
  2. Collaborative Projects: Engaging in more collaborative research projects, especially those with international partners or in emerging fields, could enhance his research profile and global visibility.
  3. Outreach and Public Engagement: Increasing his involvement in public outreach or applied research that directly benefits society could strengthen his case for awards that value practical contributions alongside academic achievements.

 

Education 🎓

João Paulo earned his Ph.D. in Applied Mathematics in 2024 from the MAP-PDMA program, a collaboration between the Faculty of Sciences, University of Porto (FCUP), Aveiro, and Minho. Prior to this, he completed a Master’s degree in Mathematical Engineering in 2016 and a Bachelor’s degree in Astronomy in 2014, both from FCUP. He also pursued advanced studies in Estimation, Control, Optimization, and Data Science, with applications to cyber-physical systems, at the Faculty of Engineering, University of Porto (FEUP) in 2020/2021.

Experience 💼

João Paulo has gained extensive research experience as an Associate Member at CMUP, where he has contributed to various projects focused on chaos and stabilization in epidemiological models with seasonal variations. He has also held research grant positions at CMUP and participated in international training programs and summer courses. His expertise in mathematical modeling has led to several invited speaker roles at prestigious conferences and seminars.

Research Focus 🔬

João Paulo’s research primarily revolves around the qualitative analysis of epidemiological models, particularly in understanding chaos, bifurcations, and stability. His work often intersects with applied mathematics in life sciences, where he explores the dynamics of diseases through mathematical modeling. His notable contributions include studies on the SIR model with vaccination, fractional models for Type 1 Diabetes, and the role of the immune system in AIDS-defining malignancies.

Awards and Honours 🏆

Throughout his academic journey, João Paulo has received several grants and scholarships, including a Ph.D. scholarship from CMUP for his project on chaos in epidemiological models. He was also a recipient of the MAGIC project grant and participated in a COST Action training school in Turkey. His academic excellence was recognized by the unanimous approval of his Ph.D. thesis in Applied Mathematics.

Publication Top Notes 📝

Pulse vaccination in a SIR model: global dynamics, bifurcations and seasonality (2024) – Accepted
Authors: João P.S. Maurício de Carvalho, Alexandre A. Rodrigues
SIR model with vaccination: bifurcation analysis (2023) – Qualitative Theory of Dynamical Systems
DOI: 10.1007/s12346-023-00802-2
Strange attractors in a dynamical system inspired by a seasonally forced SIR model (2022) – Physica D: Nonlinear Phenomena
DOI: 10.1016/j.physd.2022.133268
Role of the immune system in AIDS-defining malignancies (2022) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-77306-9_9
A fractional-order model for CoViD-19 dynamics with reinfection and the importance of quarantine (2021) – Chaos, Solitons & Fractals
DOI: 10.1016/j.chaos.2021.111275

Fractional Model for Type 1 Diabetes (2020) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-37062-6_9

Conclusion:

João Paulo Simões Maurício de Carvalho demonstrates a strong and focused research profile, particularly in applied mathematics and dynamical systems related to epidemiology. His academic qualifications, publications, and conference contributions make him a solid candidate for a Researcher Award. However, to strengthen his profile further, he could benefit from expanding the applicability of his research, engaging in more interdisciplinary projects, and increasing public outreach efforts. Overall, João is a strong contender for the Best Researcher Award, particularly in fields related to mathematical modeling and applied mathematics.