Keying Wang | Mathematics | Best Researcher Award

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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

 

Prof. Danail Brezov | geometric algebras | Best Researcher Award

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Prof. Danail Brezov | geometric algebras | Best Researcher Award

Professor and chief of department, University of Architecture, Civil Engineering and Geodesy, Bulgaria

Dr. Danail Brezov is a distinguished professor and researcher in mathematics, specializing in applied mathematical physics, computational modeling, and artificial intelligence. With a strong academic foundation and a passion for interdisciplinary research, he has contributed significantly to areas such as geometric algebra, numerical simulations, and machine learning applications. His extensive teaching experience spans both university and high-school levels, making mathematics accessible to students of all backgrounds. Driven by curiosity and innovation, he collaborates on projects involving spatial analysis, traffic modeling, and AI-driven data imputation.

Publication Profile

🎓 Education:

Dr. Brezov holds a Ph.D. in Mathematics from the Bulgarian Academy of Sciences (2015), an M.Sc. in Mathematics from Sofia University (2007), and a B.Sc. in Physics from Sofia University (2004). His early education at the Foreign Language School “Romain Rolland” in Stara Zagora equipped him with multilingual proficiency, enhancing his international collaborations.

💼 Experience:

With years of experience in academia and research, Dr. Brezov has held positions at the University of Architecture, Civil Engineering and Geodesy, the National STEM Center, European Polytechnical University, and the British School of Sofia. He has taught a wide range of subjects, including linear algebra, calculus, probability, numerical methods, and machine learning. His expertise extends to applied mathematics in engineering, control systems, geodesy, and AI-driven analytics. His research contributions include developing predictive models, mathematical frameworks, and data-driven solutions for complex systems.

🏆 Awards and Honors:

Dr. Brezov has earned recognition for his outstanding research and teaching contributions. His role as a reviewer for esteemed journals such as AMS, Springer, and Elsevier highlights his academic influence. He has also played a pivotal role in organizing international conferences, research collaborations, and mathematical Olympiads, further cementing his reputation in the field.

🔬 Research Focus:

Dr. Brezov’s research interests span across mathematical physics, Clifford algebras, hypercomplex numbers, and Lie groups. His expertise in computational modeling and AI applications has led to breakthroughs in numerical simulations, cellular automata, and Monte Carlo algorithms. He actively contributes to projects in urban pollution modeling, health analytics, and machine learning-driven optimization. His interdisciplinary approach enables innovative solutions in both theoretical and applied mathematics.

📝 Conclusion:

Dr. Danail Brezov stands as a leading figure in mathematical sciences, blending theory with real-world applications. His contributions to academia, research, and interdisciplinary collaborations continue to shape the fields of mathematics, physics, and AI-driven problem-solving. With a relentless pursuit of knowledge and innovation, he remains dedicated to advancing mathematical research and education on a global scale.

📚 Publications:

The Tragic Downfall and Peculiar Revival of Quaternions. Mathematics, 13(4):637. [Cited by: Mathematics Community] 🔗

Using Rotations to Control Observable Relativistic Effects. Mathematics, 12(11):1676. [Cited by: Relativity Researchers] 🔗

Camera Motion Correction with PGA. Advances in Computer Graphics, Lecture Notes in Computer Science 14498, Springer, Cham. [Cited by: Computer Vision Experts] 🔗

Predicting the Rectal Temperature of Dairy Cows Using Infrared Thermography and Multimodal Machine Learning. Applied Sciences, 13(20):11416. [Cited by: Veterinary and AI Researchers] 🔗

Ensemble Learning Traffic Model for Sofia: A Case Study. Applied Sciences, 13(8):4678. [Cited by: Traffic Engineers] 🔗

Hypercomplex Algebras and Calculi Derived from Generalized Kinematics. Mathematical Methods in the Applied Sciences, 44(17). [Cited by: Mathematical Physicists] 🔗

Factorization and Generalized Roots of Dual Complex Matrices with Rodrigues’ Formula. Advances in Applied Clifford Algebras, 30(29). [Cited by: Algebra Researchers] 🔗

Projective View on Motion Groups I: Kinematics and Relativity. Advances in Applied Clifford Algebras, 29(1-18). [Cited by: Theoretical Physicists] 🔗

Optimization and Gimbal Lock Control via Shifted Decomposition of Rotations. Journal of Applied & Computational Mathematics, 7:410. [Cited by: Robotics Researchers] 🔗

From the Kinematics of Precession Motion to Generalized Rabi Cycles. Advances in Mathematical Physics, Article ID 9256320. [Cited by: Quantum Mechanics Scholars] 🔗

MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

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Mr. MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

PhD student, Nanjing Normal University China

Muhammad Toseef is a dedicated mathematician from Pakistan, who has made significant contributions to the field of mathematics. He completed his BS Mathematics in 2018 and his Masters of Philosophy in Mathematics in 2021. He is currently a Senior Mathematics Teacher at The Punjab School Lahore. With a strong academic background and a passion for research, Toseef has published multiple impact factor research papers and attended various international conferences and workshops.

Profile

Google Scholar

Education 🎓

Muhammad Toseef holds a Master of Philosophy in Mathematics from Government College University, Lahore, with a CGPA of 3.20, completed in 2020. He earned his Bachelor of Science in Mathematics from Government College University, Faisalabad, in 2018 with a CGPA of 3.62. Prior to his university education, he completed his Intermediate in Computer Science (ICS) from BISE Sahiwal and Matriculation in Science from BISE Multan.

Experience 👨‍🏫

Toseef began his teaching career at Bright Grammar School, Lahore, as a Mathematics Teacher from December 2018 to August 2019. He then advanced to become a Senior Mathematics Teacher at The Punjab School Lahore, a position he has held since August 2019.

Research Interests 🔬

His research interests include Integral Inequalities, Quantum Calculus and its Applications, Mathematical Inequalities and Convex Functions, Soliton Solutions of Partial Differential Equations, and Numerical Solutions of Degenerate PDEs. His work in these areas has led to several impactful publications and conference presentations.

Awards 🏆

Toseef has received several awards and honors, including the PEEF Scholarship for both his BS and MS levels from the Punjab Government. He was also awarded a laptop under the Chief Minister Laptop Scheme, recognizing his academic excellence.

Publications 📚

Kashuri, A., Ali, M. A., Abbas, M., & Toseef, M. (2021). Some inequalities for generalized convex functions pertaining generalized fractional integral operators and their applications. Journal of Applied Mathematics, Statistics and Informatics, 17, 2419. (IF=0.40) Link

Ali, W., Asjad, M. I., Toseef, M., & Amjad, T. (2022). Analysis of propagating wave structures of the cold bosonic atoms in a zig-zag optical lattice via comparison with two different analytical. Optical and Quantum Electronics. (IF=2.78) Link

Toseef, M., Zhang, Z., & Ali, M. A. (Revised). On q-Hermite-Hadamard-Mercer and midpoint Mercer type Inequalities for Generalized convex functions and their computational analysis. Journal of Computational and Applied Mathematics. (IF=2.99) Link

Zhan, X., Mateen, A., Toseef, M., & Ali, M. A. (Revised). Some Simpson’s and Ostrowski’s Type Integral Inequalities for Generalized Convex Functions in Multiplicative Calculus With Their Computational Analysis. MDPI, Mathematics. Link

Toseef, M., Zhang, Z., & Ali, M. A. (Submitted). Refinement of Jensen Inequality and Hermite-Hadamard-Mercer Type Inequalities for coordinated convex functions with their applications. Rockey Mountain Journal of Mathematics. Link