Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Dr. Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Assistant Professor at TMUC H11 Islamabad, Pakistan

Dr. Shakoor Ahmad is a distinguished mathematician known for his expertise in mathematical modeling and applied mathematics. With a deep passion for research and education, he has significantly contributed to the field, particularly in modeling complex systems and decision-making processes. Dr. Ahmad’s career has spanned various prestigious institutions where he has demonstrated a strong commitment to both academic excellence and impactful research. His publications in high-impact journals, coupled with his extensive teaching experience, reflect his dedication to advancing mathematics and its real-world applications. He is a well-regarded figure in academia, actively pushing the boundaries of mathematical research.

Profile

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Education

Dr. Ahmad holds a Ph.D. in Mathematics from COMSATS University Islamabad, completed between 2018 and 2023. His doctoral research focused on the “Modeling and Simulation of Fractional Differential Equations with Applications in Epidemiology and Financial Mathematics,” where he developed innovative approaches for solving complex mathematical problems. Prior to his Ph.D., he earned an MS in Mathematics from COMSATS University with a CGPA of 3.76/4.00, demonstrating his academic excellence. His foundational education in mathematics began with a BS from the University of Sargodha, where he graduated with a strong understanding of mathematical principles. Additionally, Dr. Ahmad holds a Bachelor of Education, further highlighting his dedication to the teaching profession.

Experience

Dr. Ahmad has accumulated extensive teaching experience, starting as a lecturer at Nishat Degree College in Islamabad, where he taught FSc and BSc students. His teaching journey continued with roles as a visiting lecturer at the University of Sargodha, Federal Urdu University Islamabad, and ARID Agriculture University. In these roles, he taught a variety of courses, including basic mathematics, numerical analysis, and multivariable calculus. Dr. Ahmad’s experience extends to visiting assistant professor positions at renowned institutions such as RIPHA International University and the Uswa Institute of Higher Education. Currently, he serves as a visiting assistant professor at TMUC, Islamabad, teaching courses like discrete mathematics and mechanics. His teaching career is marked by versatility, covering topics across different levels of mathematics education.

Research Interest

Dr. Ahmad’s research interests lie at the intersection of mathematical modeling, fractional differential equations, and decision-making algorithms. His doctoral research tackled real-world applications in epidemiology and finance, where he developed mathematical models to simulate disease spread and analyze financial systems. Additionally, Dr. Ahmad is interested in multi-criteria decision-making and sustainable energy management, where his research explores innovative methods for optimizing systems under uncertainty. He actively applies mathematics to solve pressing societal issues, and his work has implications in fields ranging from public health to renewable energy. Dr. Ahmad’s research is characterized by a blend of theoretical depth and practical relevance, aiming to address contemporary challenges.

Awards

Dr. Ahmad has been the recipient of several scholarships and awards, recognizing his academic achievements and contributions. During his MS studies, he was awarded the PEEF Scholarship, a prestigious scholarship aimed at high-achieving students. He also received the NEST Scholarship during his Ph.D., further demonstrating his consistent academic excellence. Additionally, Dr. Ahmad was recognized by the Prime Minister’s Laptop Scheme, receiving a laptop for his outstanding performance in his MS program. These accolades highlight his dedication to academic growth and his potential to make significant contributions to the field of mathematics.

Publications

Ahmad, S., Javeed, S., Ahmad, H., Khushi, J., Elagan, S.K., & Khames, A. (2021). Analysis and Numerical Solution of Novel Fractional Model for Dengue. Results in Physics, vol. 28, 104669. Impact Factor: 4.476.

Ashraf, S., Ahmad, S., Naeem, M., Riaz, M., & Alam, M.A. (2022). Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information. Complexity, vol. 2022, 2394472. Impact Factor: 2.121.

Ahmad, S., Javeed, S., Raza, S., & Baleanu, D. (2022). A Novel Fractional Model for Projection of Households using Wealth Index Quintiles. PLOS ONE, 17(11), e0277472. Impact Factor: 3.752.

Ashraf, S., Chohan, M.S., Ahmad, S., Hameed, S., & Khan, F. (2023). Decision Aid Algorithm for Kidney Transplants Under Circular Spherical Fuzzy Sets. IEEE Access, 11, 122029-122044. Impact Factor: 3.9.

Ashraf, S., Iqbal, W., Ahmad, S., & Khan, F. (2023). Circular Spherical Fuzzy Sugeno Weber Aggregation Operators. IEEE Access, 11, 124920-124941. Impact Factor: 3.9.

Ashraf, S., Jana, C., Sohail, M., Choudhary, R., Ahmad, S., & Deveci, M. (2024). Multi-criteria Decision-making Model Based on Picture Hesitant Fuzzy Soft Set Approach. Information Sciences, 686, 121334. Impact Factor: 3.7.

Conclusion

Dr. Shakoor Ahmad’s dedication to mathematics is evident in his extensive teaching experience, impactful research contributions, and academic achievements. His research not only advances theoretical mathematics but also provides practical solutions to real-world challenges. Dr. Ahmad’s continuous pursuit of academic excellence, coupled with his recognition through awards and scholarships, demonstrates his potential to make a lasting impact in his field. He is a strong candidate for the “Best Researcher Award,” showcasing a commitment to advancing mathematical knowledge and solving pressing societal issues through innovative research.

Weam Alharbi | Numerical methods | Best Researcher Award

Assoc Prof Dr . Weam Alharbi | Numerical methods | Best Researcher Award 

Associate Professor , University of Tabuk , Saudi Arabia

Dr. Weam G. Alharbi is a dedicated academic in the field of mathematical sciences with a specialization in biomathematics. With a PhD from the University of Leicester, UK, Dr. Alharbi is committed to advancing community development through applied mathematics. He holds a range of teaching and leadership positions at the University of Tabuk, where he excels in mathematical modeling and numerical simulations.

Profile

Scopus

Strengths for the Award

  1. Extensive Academic Background: Dr. Weam G. Alharbi has a robust academic foundation, including a Ph.D. in Applied Mathematics with a focus on Biomathematics, demonstrating a deep understanding of mathematical sciences.
  2. Research Excellence: Dr. Alharbi’s research interests are well-aligned with current global challenges, particularly in mathematical biology, ecological modeling, and population dynamics. Their work has resulted in numerous publications in prestigious journals, indicating significant contributions to their field.
  3. Recognition and Awards: Dr. Alharbi has been repeatedly recognized for academic excellence, receiving multiple certificates of appreciation and recognition from the Saudi Cultural Attaché in London during their Ph.D. studies. Additionally, they received a commendation for the best Ph.D. presentation, showcasing their ability to communicate complex research effectively.
  4. Leadership and Administrative Experience: Beyond research, Dr. Alharbi has held several leadership positions at the University of Tabuk, including Vice Dean of Student Affairs and Supervisor of various university units. This experience highlights their ability to contribute to academic administration and student development.
  5. Multidisciplinary Skills: Proficiency in various programming languages and software like Fortran, Maple, Matlab, Mathematica, and SPSS indicates a strong technical skill set that supports their research and teaching endeavors.

Areas for Improvement

  1. Broader International Collaboration: While Dr. Alharbi has international exposure through their education in the UK and participation in international conferences, expanding collaborations with researchers and institutions worldwide could further enhance their research impact.
  2. Increased Focus on Interdisciplinary Applications: Dr. Alharbi’s research is deeply rooted in mathematical biology, which is a strength. However, expanding their research into interdisciplinary applications, such as integrating mathematical models with emerging fields like data science or artificial intelligence, could broaden the scope and impact of their work.
  3. Grant Acquisition: There is no mention of involvement in large-scale research grants or funding acquisition. Pursuing and securing competitive research grants could further validate Dr. Alharbi’s work and provide additional resources for more extensive research projects.

    Education

    🎓 PhD in Applied Mathematics, Biomathematics
    University of Leicester, UK (2018)

    🎓 MA in Mathematics, Numerical Analysis
    Umm Al-Qura University (2009)

    🎓 Diploma in Computer and Education
    Al-Alamiah Institute of Technology (2006)

    🎓 Bachelor of Science and Education in Mathematics
    College of Education for Scientific Departments, Makkah (2005)

    Experience

    🔹 Vice Dean of Student Affairs
    University of Tabuk (2022 – Present)

    🔹 Supervisor of Training and Qualification Center
    University of Tabuk (2021 – Present)

    🔹 Supervisor of Communication and Public Relations Unit
    University of Tabuk (2021 – Present)

    🔹 Deputy Supervisor of Entrepreneurship Unit
    University of Tabuk (2020 – Present)

    🔹 Coordinator of Mathematics Resources in the Preparatory Year Program
    University of Tabuk (2020 – Present)

    🔹 Director of Academic and Educational Affairs
    University of Tabuk (2012 – 2020)

    🔹 Head of Computer Department
    University of Tabuk (2010 – 2012)

    Research Interests

    🔬 Dr. Alharbi’s research focuses on mathematical biology, exploring topics such as:

    • Population Dynamics
    • Pattern Formation
    • Invasive Species
    • Biological Invasions
    • Diffusion-Reaction Systems
    • Ecological Modeling
    • Numerical Methods
    • Numerical Simulation

    Awards

    🏆 Certificates of Gratitude and Appreciation
    Received multiple certificates from the Cultural Attaché at the Embassy of the Kingdom of Saudi Arabia in London for academic excellence during his PhD studies from 2015 to 2018.

    🏆 Best PhD Presentation Award
    University of Leicester (2018)

    Publications

    📚 Alharbi, W. G., & Petrovskii, S. V. (2016). The impact of fragmented habitat’s size and shape on populations with Allee effect. Mathematical Modelling of Natural Phenomena, 11(4), 5-15.

    📚 Alharbi, W., & Petrovskii, S. (2017). Patterns of invasive species spread in a landscape with a complex geometry. Ecological Complexity.

    📚 Alharbi, W., & Petrovskii, S. (2018). Critical Domain Problem for the Reaction–Telegraph Equation Model of Population Dynamics. Mathematics, 6 (4), 59.

    📚 Alharbi, W., & Petrovskii, S. (2019). Effect of complex landscape geometry on the invasive species spread: Invasion with stepping stones. Journal of Theoretical Biology, 464, 85-97.

    📚 Petrovskii, S., Alharbi, W., Alhomairi, A., & Morozov, A. (2020). Modelling Population Dynamics of Social Protests in Time and Space: The Reaction-Diffusion Approach. Mathematics, 8(1), 78.

    📚 Ebaid, A., Alharbi, W., Aljoufi, M. D., & El-Zahar, E. R. (2020). The Exact Solution of the Falling Body Problem in Three Dimensions: Comparative Study. Mathematics, 8(10), 1726.

    📚 Alharbi, W., & Petrovskii, S. (2020). Numerical Analysis for the Fractional Ambartsumian Equation via the Homotopy Herturbation Method. Mathematics, 8(12), 2247.

    📚 Alharbi, W., & Hristova, S. (2021). New Series Solution of the Caputo Fractional Ambartsumian Delay Differential Equation by Mittag-Leffler Functions. Mathematics, 9(2), 157.

    📚 Khan, M., Alharbi, W. G., Shah, N. A., & Rasheed, A. (2022). A renovated Scott–Blair model for heat and mass transfer analysis. Waves in Random and Complex Media, 1-15.

    📚 Alharbi, W., et al. (2022). Revisiting implementation of multiple natural enemies in pest management. Scientific Reports, 12(1), 1-16.

    📚 Alharbi, W. G. (2022). Exact and Numerical Treatment of a Special Kind of the Pantograph Model via Laplace Technique. International Journal of Analysis and Applications, 20, 71-71.

    📚 Alharbi, W. G. (2022). Solution of a differential-difference equation via an ansatz method. Advances and Applications in Discrete Mathematics, 36, 55-68.

    Conclusion

    Dr. Weam G. Alharbi is a strong candidate for the Best Researcher Award, given their substantial contributions to applied mathematics, particularly in mathematical biology. Their recognized academic excellence, leadership roles, and technical proficiency underscore their suitability for the award. By expanding international collaborations, exploring interdisciplinary applications, and securing research funding, Dr. Alharbi could further solidify their standing as a leading researcher in their field.