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.

Muhilan Ramamoorthy | Combinatorial Optimization | Best Researcher Award

Dr.Muhilan Ramamoorthy | Combinatorial Optimization | Best Researcher Award

Instructor Arizona State University United States

Muhilan Ramamoorthy is a seasoned researcher and instructor with extensive experience in both academia and industry. He is dedicated to teaching undergraduate and graduate courses, and has a rich background in systems engineering, software development, and validation. As an AI and machine learning enthusiast, his research focuses on applying these technologies to combinatorial optimization problems to create meaningful and equitable impacts.

Profile

Google Scholar

Education 🎓

  • Doctor of Philosophy in Computer Engineering – Arizona State University, Tempe, AZ (December 2022)
    • Dissertation: “Heuristics for Arc Routing Problems and Their Applications”
    • GPA: 3.75
  • Bachelor of Engineering in Electrical and Electronics Engineering – Bharathiar University, Coimbatore, India (May 2002)

Experience 💼

  • Instructor (Full-time) – Arizona State University, Tempe, AZ (August 2023 – Present)
    • Taught various formats: regular, online, hybrid
    • Engaged with large classes and utilized innovative pedagogical methods
  • Instructor – Arizona State University, Tempe, AZ (July 2015 – May 2022)
    • Facilitated problem-based and cooperative learning for graduate and undergraduate students
    • Improved course content and student engagement
  • Data Science Intern – Change for Change, NY (May 2022 – December 2022)
    • Developed models for text classification and charity impact calculation
  • Machine Learning Intern – Infineon Technologies, Irvine, CA (June 2021 – August 2021)
    • Worked on noise reduction and speaker identification projects
  • Tech Lead – Visteon Technical and Services Center, Chennai, India (January 2006 – July 2014)
    • Led product development for various automotive programs

Research Interests 🔍

  • Neural Combinatorial Optimization for routing problems
  • Learning heuristics for solving arc and capacitated arc routing problems
  • Representation learning for graphs and deep reinforcement learning
  • Heuristics, meta-heuristics, and hybrid methods for vehicle and arc routing problems

Awards 🏆

  • Winner, City of Phoenix – Cisco IoT Challenge (2017)
    • Developed an app for the City of Phoenix Public Works Department
  • NSF Travel Grant Award (2016)
    • For attending the US GENI and EU FIRE Summer Camp in Ghent, Belgium
  • Leading the Way Award, Visteon Corporation (2011)
    • Recognized for the successful delivery of the Mahindra L3 program

Publications 📚

  1. Online re-routing for vehicle breakdown in residential waste collection2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), IEEE, 2020
  2. MA-ABC: A memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problemsProceedings of the Genetic and Evolutionary Computation Conference, 2021
  3. Heuristics for Arc Routing Problems and Their ApplicationsArizona State University, 2022
  4. Learning heuristics for arc routing problemsIntelligent Systems with Applications, 2024