Mr. Huifa Jiang | Numerical Solutions | Best Researcher Award

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Mr. Huifa Jiang | Numerical Solutions | Best Researcher Award

Lecturer, Hunan University of Technology, China

Huifa Jiang is a dedicated academic currently serving as a Lecturer at Hunan University of Technology, China. With a passion for applied mathematics, particularly in solving complex partial and fractional differential equations, she has contributed significantly to the field through innovative numerical methods. Her research is deeply rooted in precision, efficiency, and scientific rigor, and she has already authored multiple papers in SCI-indexed journals. Despite being at an early stage in her career, Huifa’s work demonstrates a mature understanding of computational mathematics and its applications.

Publication Profile

🎓 Education Background

Huifa Jiang earned both her Master’s (2019) and Ph.D. (2022) degrees from Hunan Normal University, specializing in numerical methods for partial differential equations (PDEs). During her graduate studies, she honed her expertise in fractional differential equations and computational techniques, which laid the groundwork for her subsequent research contributions.

👩‍💼 Professional Experience

Currently a Lecturer at Hunan University of Technology, Huifa Jiang is involved in teaching and research in applied mathematics. Her professional journey is marked by a focused academic trajectory, with a special emphasis on numerical solutions and mathematical modeling, particularly in time-fractional equations. She is actively contributing to advancing computational solutions in her area of specialization.

🏆 Awards and Honors

While Huifa Jiang has not listed any formal awards yet, her academic credentials are noteworthy. She has published 3 SCI-indexed journal articles, achieving a Google Scholar citation count of 27, with an H-index of 2 and an i10-index of 1 — promising metrics reflecting her emerging influence in the research community.

🔬 Research Focus

Huifa’s research primarily revolves around the numerical solutions of partial differential equations and fractional differential equations. A highlight of her work includes the development of a compact Alikhanov scheme to solve the time-fractional Kuramoto–Sivashinsky equation, significantly improving computational efficiency and accuracy. Her focus is on devising stable, convergent, and computationally economical methods, with practical implications in engineering and physics-related simulations.

📚 Top Publications

A compact difference scheme for the time-fractional Kuramoto–Sivashinsky equation – Applied Mathematics and Computation, 2022
🔗 Link to article – Cited by 9 articles

Compact finite difference schemes for the numerical solution of time-fractional PDEs – Computers & Mathematics with Applications, 2021
🔗 Link to article – Cited by 12 articles

Stability and convergence analysis for time-fractional diffusion equations using Alikhanov’s method – Mathematics, 2021
🔗 Link to article – Cited by 6 articles

🔚 Conclusion

Huifa Jiang is an emerging researcher whose work in numerical solutions for fractional differential equations is gaining scholarly recognition 📈. Through her analytical rigor, she has developed efficient computational schemes that address key mathematical challenges. As a young academic, her contributions are not only technically sound but also impactful in advancing computational methods in applied sciences. She holds great promise as a future leader in mathematical modeling and numerical analysis 🌟.

Ms. Jing Ning | Mathematics | Best Researcher Award

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Ms. Jing Ning | Mathematics | Best Researcher Award

student, Yangtze University, China

Ms. Jing Ning is a dedicated researcher and scholar with a strong background in mathematics and differential equations. She is currently pursuing her master’s degree at Yangtze University, focusing on uncertain differential equations. With an active role in academic competitions and research, she has demonstrated leadership and analytical skills, earning multiple awards at the provincial and school levels. Apart from her research pursuits, she is also actively involved in extracurricular activities, fostering teamwork, creativity, and organizational abilities.

Publication Profile

ORCID

🎓 Education

Ms. Jing Ning holds a master’s degree from Yangtze University. Throughout her academic journey, she has excelled in both theoretical and applied mathematics, particularly in differential equations. She has also enhanced her professional skill set through certifications in Mandarin, English proficiency (CET-4 & CET-6), and computer applications, demonstrating her commitment to academic excellence and interdisciplinary learning.

💼 Experience

Ms. Jing Ning has actively participated in national and regional competitions, taking leadership roles in market research and entrepreneurship challenges. As a team leader in various competitions, she has successfully guided teams to significant victories, including the National College Student Market Research and Analysis Competition and the National College Students’ Innovation and Entrepreneurship Competition. Beyond academics, she has interned at the Baoji Municipal Government Audit Bureau, gaining practical insights into administrative and analytical processes. Additionally, her involvement in cultural and artistic activities, including dance instruction and event planning, has sharpened her organizational and coordination skills.

🏆 Awards and Honors

Ms. Jing Ning has received numerous accolades throughout her academic career. She won the provincial second prize and school first prize in the National College Student Market Research and Analysis Competition. She also led her team to first place at the school level in the National College Students’ Innovation and Entrepreneurship Competition and secured the second prize in the “Chuang Qingchun” College Students’ Entrepreneurship Competition. Her achievements extend to cultural events, where she received awards in dance and aerobics competitions, further highlighting her versatility and dedication.

🔬 Research Focus

Ms. Jing Ning specializes in uncertain differential equations and differential equations, contributing to the field through rigorous research and publications. Her analytical expertise in this area is reflected in her work on parameter estimation for fractional uncertain differential equations, providing valuable insights for mathematical modeling and applications.

🔍 Conclusion

Ms. Jing Ning is a passionate and hardworking researcher with a keen interest in mathematical modeling and entrepreneurship. Her ability to combine academic excellence with leadership and teamwork makes her a well-rounded scholar. With aspirations to refine her skills and contribute to the field of scientific research, she continues to push boundaries and explore innovative ideas.

📚 Publication

Parameter Estimation of Fractional Uncertain Differential Equations

Design of Mooring System

Michael Ineh | Differential Equations | Best Researcher Award

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Dr. Michael Ineh | Differential Equations | Best Researcher Award

Department of Mathematics and Computer Science, Faculty of Natural and Applied Sciences, Ritman University, Ikot Ekpene, Akwa Ibom State, Nigeria.

Dr. Michael P. Ineh (also known as Dr. Ineh, M.P) is a distinguished academic from Nigeria specializing in Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. He is currently serving as a Lecturer in Mathematics and Computer Science at Ritman University, Ikot Ekpene, Akwa Ibom State, since February 2022. Dr. Ineh is passionate about advancing mathematical theories, particularly in the areas of stability and differential equations, and has contributed significantly to research in fractional calculus and time-scale dynamical systems. 🌍📚

Publication Profile

ORCID

Education

Dr. Ineh’s educational journey is marked by a robust foundation in mathematics. He is currently pursuing a PhD in Differential Equations, with a focus on stability theories. He holds a Master’s degree (MSc) in Differential Equations (2021) from the University of Uyo and a Bachelor’s degree (B.Sc) in Mathematics (2015) from Michael Okpara University, Umudike. Additionally, he is pursuing a Post Graduate Diploma in Education (PGDE) from the National Teachers’ Institute, Kaduna, which will enhance his teaching expertise. 🎓📖

Experience

Dr. Ineh has built an impressive career in academia, having worked as a lecturer at Ritman University since 2022, where he imparts knowledge in mathematics and computer science. His earlier educational journey at institutions such as Akwa Ibom State University and the University of Uyo further solidified his academic foundation. His teaching methods are centered on cultivating a deeper understanding of mathematics, with an emphasis on applying abstract concepts to real-world challenges. 🏫👨‍🏫

Awards and Honors

Dr. Ineh’s commitment to excellence has earned him several academic accolades, including recognition for his contributions to the study of Lyapunov Stability and time-scale differential equations. He has been acknowledged for his groundbreaking research in the realm of mathematical physics, where his work on the stability of fractional differential equations is of considerable importance. 🎖️🏆

Research Focus

Dr. Ineh’s primary research interests are in the fields of Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. His work seeks to expand the understanding of fractional dynamics and their applications in real-world systems, including the stability analysis of nonlinear impulsive systems. His recent publications have made substantial contributions to the mathematical community, particularly in the study of fractional differential equations and dynamic systems. 📊🔬

Conclusion

With a passion for advancing mathematical knowledge and a commitment to education, Dr. Michael P. Ineh is a notable figure in the field of mathematics. His research is advancing the study of dynamic equations and stability theory, with applications in a variety of scientific disciplines. As an educator, he continues to inspire and shape the future of students in mathematics and computer science. 🌟📈

Publications

A Novel Lyapunov Asymptotic Eventual Stability Approach for Nonlinear Impulsive Caputo Fractional Differential Equations

Journal: AppliedMath

DOI: 10.3390/appliedmath4040085

Cited By: Link to citations 📜

On the Novel Auxiliary Lyapunov Function and Uniform Asymptotic Practical Stability of Nonlinear Impulsive Caputo Fractional Differential Equations via New Modeled Generalized Dini Derivative

Journal: African Journal of Mathematics and Statistics Studies

DOI: 10.52589/ajmss-vunaiobc

Cited By: Link to citations 📚

LYAPUNOV UNIFORM ASYMPTOTIC STABILITY OF CAPUTO FRACTIONAL DYNAMIC EQUATIONS ON TIME SCALE USING A GENERALIZED DERIVATIVE

Journal: The Transactions of the Nigerian Association of Mathematical Physics

DOI: 10.60787/TNAMP.V20.431

Cited By: Link to citations

A Novel Approach to Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative

Journal: AIMS Mathematics

DOI: 10.3934/math.20241639

Cited By: Link to citations

Results on Existence and Uniqueness of Solutions of Dynamic Equations on Time Scale via Generalized Ordinary Differential Equations

Journal: International Journal of Applied Mathematics

DOI: 10.12732/ijam.v37i1.1

Cited By: Link to citations

Approximating the Solution of a Nonlinear Delay Integral Equation by an Efficient Iterative Algorithm in Hyperbolic Spaces

Journal: International Journal of Statistics and Applied Mathematics

DOI: 10.22271/maths.2023.v8.i3b.1000

Cited By: Link to citations

On a Faster Iterative Method for Solving Nonlinear Fractional Integro-Differential Equations with Impulsive and Integral Conditions

Journal: Palestine Journal of Mathematics

Cited By: Link to citations

Variational Stability Results of Dynamic Equations on Time-Scales Using Generalized Ordinary Differential Equations

Journal: World Journal of Applied Science & Technology

Cited By: Link to citations

On Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative (Working Paper)

DOI: 10.20944/preprints202406.2042.v1

Cited By: Link to citations

 

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.

 

Juxian Zhao | Computer Science | Best Researcher Award

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Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention

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