Keying Wang | Mathematics | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Keying Wang | Mathematics | Best Researcher Award

Ms. Keying Wang – Student, The University of Manchester, United Kingdom.

Keying Wang is a dynamic research assistant and co-author affiliated with The University of Manchester, driven by an interdisciplinary approach to tackling real-world problems in mathematics and computer science. With a growing academic presence, she has contributed to innovative projects that merge computational intelligence and engineering applications, particularly in corrosion diagnostics and energy storage. Keying is recognized for her potential to advance research in bioinspired systems and optimization algorithms. Her work reflects a commitment to practical impact through sustainable technology, especially in applying machine learning and algorithmic development for environmental and industrial challenges.

Publication Profile

Google Scholar

🎓 Education Background

Keying Wang is currently pursuing her academic journey at The University of Manchester, where she serves as a student and researcher. Her education emphasizes core principles in mathematics and computer science, equipping her with analytical and algorithmic skills crucial for innovative computational research. With a foundation in data-driven problem solving, she applies theoretical knowledge to practical research in energy systems and diagnostics. Keying’s academic background nurtures her capabilities to conduct independent studies, co-author scholarly publications, and work within interdisciplinary research teams at one of the UK’s leading institutions for scientific inquiry.

💼 Professional Experience

Keying Wang holds the role of Research Assistant and Co-Author at The University of Manchester, where she is actively engaged in conducting applied research in computational optimization and sustainable engineering solutions. Her professional experience includes contributing to a groundbreaking method for solving non-linear underdetermined equation systems for grounding grid corrosion diagnosis. Keying’s hands-on approach in developing algorithm-enhanced solutions reflects her growing expertise in computational models and real-world engineering applications. She is also contributing to novel energy storage solutions, emphasizing practical research impact even at an early stage of her academic career.

🏆 Awards and Honors

Although Keying Wang is in the early phase of her academic career, her innovative contributions and promising research potential are positioning her as a strong contender for honors such as the Best Researcher Award. Her work has been recognized within academic circles for its relevance and sustainability value, notably in energy storage research and corrosion analysis using advanced optimization techniques. She is steadily gaining visibility through scholarly publications and conference engagements, and her trajectory suggests a future marked by impactful awards and recognitions in computational sciences and green technologies.

🔬 Research Focus

Keying Wang’s research lies at the intersection of mathematics and computer science, with a strong focus on optimization algorithms, energy storage materials, and diagnostic modeling. Her notable work includes developing a novel biomass-derived hierarchical porous carbon electrode from oil palm waste, contributing to environmentally sustainable supercapacitor development. Additionally, she co-authored a paper applying an enhanced Hippopotamus Optimization Algorithm to improve corrosion diagnostics. Keying’s interests encompass algorithmic design, bioinspired computing, and sustainability-driven innovation, positioning her research to contribute meaningfully to both academic advancement and societal needs.

✅ Conclusion

In summary, Keying Wang is a motivated and innovative early-career researcher whose contributions to computational diagnostics and sustainable energy solutions are gaining scholarly attention. Her academic foundation, coupled with emerging research accomplishments, marks her as a valuable asset to the scientific community. With ongoing work rooted in practical applications and theoretical innovation, she exemplifies the qualities sought in award-winning researchers. Her efforts represent a commitment to advancing knowledge through interdisciplinary methods and responsible innovation, making her a fitting nominee for the Best Researcher Award category.

📝 Publications Top Notes

  1. A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm
    🔹 Published Year: 2025
    🔹 Journal: Biomimetics, Volume 10, Issue 7
    🔹 Cited by: 7 articles

  2. An Adaptive Multi-Elite Hippopotamus Algorithm for High-Dimensional Optimization and Its Wasserstein Distance Penalty Mechanism
    🔹 Published Year: 2025
    🔹 Conference: 2025 8th International Conference on Advanced Algorithms and Control Engineering (AAICE)
    🔹 Cited by: 4 articles

 

João Maurício de Carvalho | Mathematics | Best Researcher Award

Published on by Computer Scientists Awards

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.