Saima Zainab | Mathematics | Best Researcher Award

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Dr. Saima Zainab | Mathematics | Best Researcher Award

Lecturer,  The Women University Multan,  Pakistan 

Dr. Saima Zainab is a distinguished candidate for the Research for Best Paper Award, holding a Ph.D. in Mathematics from Bahauddin Zakariya University. Her thesis, titled “Numerical Study of some Pre-combustion Phenomena in Diesel Engine,” highlights her expertise in computational fluid dynamics and numerical analysis. Dr. Zainab has made significant contributions to the field through her publications, including research on artificial intelligence-based classifiers for breast cancer diagnosis and the optimization of bio-convective flow in nanofluids. Her work illustrates the application of advanced mathematical modeling in solving complex real-world problems. As a lecturer at The Women University Multan, she teaches various courses, including Numerical Analysis and Mathematical Modeling, while also serving as a program coordinator for BS Mathematics. Dr. Zainab’s leadership in organizing academic events and workshops demonstrates her dedication to advancing mathematical research and education. Her comprehensive background positions her as a strong candidate for this prestigious award.

Profile

Education

Dr. Saima Zainab earned her Ph.D. in Mathematics from Bahauddin Zakariya University in Multan, Pakistan, where she conducted her thesis on “Numerical Study of some Pre-combustion Phenomena in Diesel Engine,” showcasing her expertise in computational fluid dynamics and numerical analysis. She also holds an M.Phil. in Mathematics from the same institution, with a thesis titled “Numerical Simulation of Turbulent Flow in a Square Duct using k-Model.” Her educational journey has provided her with a solid foundation in advanced mathematical concepts, equipping her with the skills necessary to tackle complex problems in her research. Dr. Zainab has also furthered her knowledge through various certifications, including courses in machine learning and data analytics, enhancing her proficiency in applying mathematical modeling to real-world applications. This comprehensive educational background underlines her commitment to academic excellence and her significant contributions to the field of mathematics.

Professional Experience

Dr. Saima Zainab has been a Lecturer in the Department of Mathematics at The Women University, Multan, Pakistan, since March 2017. In her role, she teaches a variety of courses, including Computer Programming, Numerical Computing, and Mathematical Modeling, equipping students with essential skills in mathematics and its applications. Dr. Zainab also serves as the Program Coordinator for the BS Mathematics program, overseeing curriculum development and student engagement. She plays a pivotal role in the Office of Research Innovation and Commercialization (ORIC), promoting research initiatives and collaboration within the academic community. Additionally, her responsibilities include managing the departmental timetable and supervising computer labs, ensuring a conducive learning environment for her students. As a member of the Departmental Semester Implementation Committee, Dr. Zainab contributes to the strategic planning and execution of academic programs, demonstrating her commitment to enhancing the educational experience in mathematics. Her dedication and multifaceted contributions make her an invaluable asset to her institution.

Research Interests

Dr. Saima Zainab’s research interests encompass a dynamic range of topics within the field of Mathematics, primarily focusing on Computational Fluid Dynamics (CFD), Data Science, and Artificial Intelligence (AI). Her work in CFD involves exploring complex fluid flow phenomena, particularly in relation to pre-combustion processes in diesel engines, where she employs numerical analysis and mathematical modeling to enhance understanding and efficiency. In the realm of Data Science, Dr. Zainab is dedicated to applying advanced computational techniques to real-world challenges, such as developing AI-based classifiers for medical diagnostics, notably in breast cancer detection. Additionally, her interest in AI extends to predictive modeling in flow dynamics, where she utilizes innovative methodologies like nonlinear autoregressive artificial neural networks. Dr. Zainab’s multifaceted research not only contributes to theoretical advancements in mathematics but also has significant practical implications across various scientific and engineering disciplines. Her passion for integrating mathematics with technology continues to drive her research endeavors.

Research Skills

Dr. Saima Zainab possesses a diverse skill set that is integral to her research in mathematics and its applications. Her expertise in computational fluid dynamics enables her to model and analyze complex fluid behavior, essential for her investigations into pre-combustion phenomena in diesel engines. Proficient in numerical analysis, she utilizes advanced mathematical techniques to solve problems related to turbulent flows and heat transfer, demonstrating her ability to apply theoretical concepts to practical scenarios. Dr. Zainab is well-versed in mathematical modeling, allowing her to construct and analyze models that represent real-world systems accurately. Furthermore, her proficiency in programming languages and tools such as MATLAB and ANSYS Workbench enhances her capability to perform simulations and data analysis. In addition, her recent training in machine learning and data analytics equips her with the necessary tools to leverage artificial intelligence in her research, making her a versatile researcher capable of addressing multifaceted challenges in the field.

Awards and Honors

Dr. Saima Zainab has received numerous awards and honors throughout her academic career, reflecting her outstanding contributions to the field of mathematics. She has been recognized for her exceptional teaching abilities, leading to accolades from both students and faculty. In 2019, Dr. Zainab was awarded the “Best Faculty Award” at The Women University Multan for her innovative approach to teaching and her commitment to student success. Her research on computational fluid dynamics and artificial intelligence has garnered attention, leading to invitations to present her work at various national and international conferences, including the prestigious UMT International Conference on Pure and Applied Mathematics. Additionally, Dr. Zainab played a crucial role in organizing the 1st International Conference on Mathematics for a Sustainable Future, showcasing her leadership in the academic community. These accolades, alongside her publications in reputable journals, underscore her dedication to advancing mathematical research and education.

Conclusion

In conclusion, Dr. Saima Zainab exemplifies the qualities of an outstanding candidate for the Research for Best Paper Award. Her extensive academic background, highlighted by a Ph.D. in Mathematics and a strong focus on computational fluid dynamics and numerical analysis, underscores her expertise in complex mathematical modeling. Dr. Zainab’s impressive portfolio of published research demonstrates her ability to address significant challenges in fields such as artificial intelligence and fluid dynamics, showcasing innovative methodologies and practical applications. Furthermore, her active involvement in organizing academic events and workshops reflects her dedication to fostering a collaborative research environment and mentoring future mathematicians. Dr. Zainab’s commitment to advancing knowledge in her field, coupled with her leadership roles within her institution, positions her as a key contributor to the academic community. Given her achievements and contributions, Dr. Zainab is not only a deserving candidate but also an inspiration for aspiring researchers in mathematics.

Publication Top Notes

  • Title: A comparative performance assessment of artificial intelligence-based classifiers and optimized feature reduction technique for breast cancer diagnosis
    Authors: Batool, S., Zainab, S.
    Year: 2024
    Citations: 0
    Journal: Computers in Biology and Medicine
    Volume: 183
    Article Number: 109215
  • Title: An investigation of heat transfer and optimization of entropy in bio-convective flow of Eyring-Powell nanomaterial with gyrotactic microorganisms
    Authors: Batool, K., Haq, F., Zainab, S., Alshammari, A.S., M. El-Bahy, Z.
    Year: 2024
    Citations: 0
    Journal: Case Studies in Thermal Engineering
    Volume: 61
    Article Number: 104903
  • Title: Predictive modelling of flow dynamics in micropolar hybrid nanofluids subjected to magnetic dipole influence using nonlinear autoregressive artificial neural networks with exogenous input
    Authors: Zainab, S., Shakir, S., Batool, K., Waqas, H., Muhammad, T.
    Year: 2024
    Citations: 1
    Journal: Numerical Heat Transfer; Part A: Applications
  • Title: Investigation of nozzle geometry and wall roughness effects on diesel injector flow
    Authors: Zainab, S., Syed, K.S.
    Year: 2023
    Citations: 0
    Journal: AIP Advances
    Volume: 13(11)
    Article Number: 115129

 

Juan Zhang | Mathematics | Best Researcher Award

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Prof Dr. Juan Zhang | Mathematics | Best Researcher Award

professor, Xiangtan University , China

Juan Zhang is an exemplary candidate for the Best Researcher Award, distinguished by his extensive academic and research accomplishments. He holds a Ph.D. in Applied Mathematics and has risen to the rank of professor at Xiangtan University, where he actively contributes to the field of numerical algebra and matrix analysis. With over 24 publications in reputable journals indexed by the Science Citation Index, his research has significantly advanced understanding in critical areas of applied mathematics. Zhang’s accolades include the Special Prize of the 25th President Award of Xiangtan University and recognition as a Young Backbone Teacher, underscoring his excellence in both teaching and research. His international experience as a visiting scholar at renowned institutions further highlights his commitment to academic collaboration. Overall, Zhang’s impressive credentials and contributions position him as a leading figure in his field, making him a deserving recipient of this prestigious award.

Profile:

Education

Juan Zhang earned his Ph.D. in Applied Mathematics from Xiangtan University in June 2013, under the guidance of Prof. Jianzhou Liu. Prior to his doctoral studies, he obtained a Master of Arts in Operational Research and Cybernetics in June 2009, also from Xiangtan University, where he was mentored by Prof. Jianzhou Liu. His academic journey began with a Bachelor of Science in Information and Computing Science, which he completed in June 2006 at the same institution. Throughout his education, Juan demonstrated a strong aptitude for mathematics and computational science, laying a solid foundation for his future research endeavors. His rigorous training and comprehensive knowledge in these fields have significantly contributed to his successful academic career, enabling him to develop innovative numerical methods and algorithms that address complex mathematical problems.

Professional Experiences

Juan Zhang is a distinguished academic in the field of mathematics, currently serving as a Professor at the School of Mathematics and Computational Science at Xiangtan University since January 2021. His career at the university began in July 2013 as an Assistant Professor, where he laid a solid foundation for his subsequent promotion to Associate Professor in January 2016. In addition to his teaching and research roles, Juan has enriched his expertise through various international experiences, including a stint as a Visiting Scholar at the Department of Mathematics at the University of Macau in August 2015 and at the National University of Singapore in December 2017. His work has focused on numerical algebra and matrix analysis, contributing to advancements in computational methods and algorithms. Through his dedication to education and research, Juan Zhang has significantly influenced both his institution and the broader academic community.

 

Research skills

Juan Zhang is an accomplished researcher specializing in numerical algebra and matrix analysis, with a strong focus on the development and application of numerical algorithms. His research is characterized by a deep understanding of complex mathematical concepts and their practical applications in various scientific fields. He has demonstrated proficiency in formulating innovative solutions for large sparse linear systems, coupled algebraic Riccati equations, and generalized Lyapunov equations. His ability to collaborate effectively with peers is evident in his extensive publication record, which includes numerous articles in high-impact journals. Moreover, his contributions to teaching and mentoring young researchers showcase his commitment to advancing the field of applied mathematics. Juan’s adeptness in utilizing advanced computational techniques and his ongoing engagement in cutting-edge research make him a valuable asset to both the academic community and industry partners.

 

Awards And Recoginition

Juan Zhang, a distinguished professor at Xiangtan University, has received numerous accolades reflecting his exceptional contributions to applied mathematics and education. Notable recognitions include the Special Prize of the 25th President Award from Xiangtan University in 2020, highlighting his innovative teaching methods and impactful research. In the same year, he was honored as a Young Backbone Teacher by the Education Department of Hunan Province, underscoring his role in shaping future educators. His commitment to academic excellence is further exemplified by awards such as the Excellent Party Member of Xiangtan University (2021) and the Baosteel Excellent Student Award (2011). Juan’s dedication to advancing knowledge in numerical algebra and matrix analysis is evidenced by his extensive publication record in leading scientific journals, where he has contributed significantly to the field. These honors collectively demonstrate his leadership and influence in both research and education.

 

Conclusion

Juan Zhang exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. His extensive academic journey, marked by a Ph.D. in Applied Mathematics and a progressive career at Xiangtan University, showcases his dedication to advancing knowledge in numerical algebra and matrix analysis. With over 24 influential publications in high-impact journals, his research not only contributes significantly to the field but also addresses critical challenges in applied mathematics. His numerous awards and recognitions further attest to his excellence in teaching and research, highlighting his impact on students and the academic community. Moreover, his collaborations as a visiting scholar in esteemed institutions illustrate his commitment to global academic engagement. Juan’s achievements reflect a remarkable combination of expertise, innovation, and service, making him an exemplary candidate for this prestigious award. Recognizing his contributions will inspire future researchers and promote excellence in academia.

 

Publication Top Notes

  • Backward Differentiation Formula Method and Random Forest Method to Solve Continuous-Time Differential Riccati Equations
    Authors: Juan Zhang, Wenwen Zou, Chenglin Sui
    Year: 2024
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.3494
  • Low-Rank Generalized Alternating Direction Implicit Iteration Method for Solving Matrix Equations
    Authors: Juan Zhang, Wenlu Xun
    Year: 2024
    Citation: Computational and Applied Mathematics, DOI: 10.1007/s40314-024-02774-8
  • Hybrid Model of Tensor Sparse Representation and Total Variation Regularization for Image Denoising
    Authors: Kai Deng, Youwei Wen, Kexin Li, Juan Zhang
    Year: 2024
    Citation: Signal Processing, DOI: 10.1016/j.sigpro.2023.109352
  • A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems
    Authors: Kai Jiang, Xuehong Su, Juan Zhang
    Year: 2022
    Citation: SIAM Journal on Scientific Computing, DOI: 10.1137/21M1450197
  • Numerical Methods for the Minimal Non-Negative Solution of the Non-Symmetric Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Fangyuan Tan
    Year: 2021
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.2205
  • The Generalized Modified Hermitian and Skew-Hermitian Splitting Method for the Generalized Lyapunov Equation
    Authors: Juan Zhang, Huihui Kang
    Year: 2021
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-020-0053-1
  • The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Shifeng Li
    Year: 2020
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-019-0368-y

 

 

Mohamed I.A. Othman | Mathematics | Best Scholar Award

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Prof. Dr Mohamed I.A. Othman | Mathematics | Best Scholar Award

Professor of Applied Mathematics Zagazig at University Faculty of Science, Egypt

Prof. Mohamed I.A. Othman, born on September 5, 1958, is a distinguished Egyptian mathematician specializing in thermoelasticity. He earned his Ph.D. in Mathematics from Zagazig University, Egypt, in 1994. With extensive contributions to the field, he is a prominent member of the Egyptian Mathematical Society, the American Mathematical Society, and the IBC Research Council. His research focuses on advanced mathematical theories, including two-temperature generalized thermoelasticity, thermoelastic diffusion, and piezo-thermoelasticity. With 365 published papers in international journals, Prof. Othman has made significant impacts in applied mathematics. He supervises a scientific school in thermoelasticity, mentoring 30 M.Sc. and Ph.D. students. A highly cited researcher, he ranks among the world’s top 2% scientists from 2020 to 2024, as recognized by Stanford University. His expertise and editorial roles in prestigious journals, including “Journal of Thermal Stresses” and “Frontiers in Physics,” highlight his influence in mathematical sciences. His work in reviewing for over 120 international journals underscores his commitment to academic excellence. His Google Scholar profile records 8,588 citations, an i10-index of 211, and an h-index of 53 as of February 16, 2024, demonstrating his widespread academic recognition and impact in the mathematical research community.

Professional Profile

Education

Prof. Mohamed I.A. Othman pursued his academic journey in Egypt, culminating in a Ph.D. in Mathematics from Zagazig University in 1994. His doctoral research laid a strong foundation in mathematical modeling and thermoelasticity, fields in which he later made significant contributions. His early education in Egypt provided him with a robust background in advanced mathematical theories and applications. Over the years, he has refined his expertise, delving deep into specialized areas such as thermoelastic diffusion, fiber-reinforced materials, and photothermal waves in semi-conducting media. His academic background, grounded in rigorous mathematical analysis, has enabled him to develop innovative models and theories that contribute to various branches of applied mathematics and physics. Beyond his formal education, Prof. Othman has continued to engage in lifelong learning, collaborating with leading scholars, attending international conferences, and staying at the forefront of research in mathematical sciences. His educational journey has not only shaped his own research trajectory but also influenced numerous students and researchers under his supervision, solidifying his reputation as a mentor and thought leader in the field of mathematical sciences.

Professional Experience

Prof. Mohamed I.A. Othman has had an illustrious career in academia and research, significantly impacting the field of mathematics. He has been actively involved in university teaching, mentoring, and research supervision, guiding over 30 M.Sc. and Ph.D. students in advanced mathematical theories. His extensive expertise has led to his involvement in editorial and review activities for prestigious international journals such as the “Journal of Thermal Stresses,” “Journal of Applied Mathematics and Computation,” and “Computers in Biology and Medicine.” He serves as a reviewer for over 120 international journals, showcasing his critical role in maintaining the quality and integrity of mathematical research. His professional experience extends to memberships in prominent academic societies, including the American Mathematical Society and the Egyptian Mathematical Society. His research contributions, particularly in thermoelasticity and photothermal sciences, have positioned him among the world’s top researchers. With a prolific publication record of 365 journal articles, Prof. Othman has established himself as a leader in applied mathematics. His professional journey reflects a dedication to knowledge dissemination, academic mentorship, and groundbreaking research in mathematical sciences.

Research Interests

Prof. Mohamed I.A. Othman’s research interests encompass a broad range of topics within mathematical physics and thermoelasticity. His pioneering work includes two-temperature generalized thermoelasticity, thermoelastic diffusion, thermoelasticity with voids, and fiber-reinforced materials. He has made substantial contributions to the study of micropolar thermoelastic mediums, photothermal waves in semi-conducting materials, and piezo-thermoelasticity. His research aims to bridge the gap between theoretical mathematics and real-world applications, offering insights into materials science, mechanical engineering, and computational physics. By developing mathematical models that describe heat transfer, wave propagation, and stress-strain relationships in different media, he has enhanced the understanding of complex physical phenomena. His work has significant implications for industries involving high-temperature materials, semiconductor technology, and structural mechanics. Prof. Othman’s commitment to advancing mathematical sciences is evident in his collaborations with scholars worldwide and his continued efforts in refining and expanding mathematical models. Through his research, he has helped shape the field of thermoelasticity, contributing to both fundamental knowledge and practical applications in engineering and materials science.

Research Skills

Prof. Mohamed I.A. Othman possesses exceptional research skills that have contributed to his success as a leading mathematician. His expertise in analytical and numerical methods has enabled him to develop complex mathematical models addressing thermoelasticity, wave propagation, and material behavior under stress. His ability to apply differential equations, finite element methods, and computational simulations has been instrumental in solving intricate problems in applied mathematics. As a seasoned researcher, he has an in-depth understanding of mathematical physics, making significant strides in the study of two-temperature models, micropolar elasticity, and photothermal interactions. His editorial and reviewing roles for over 120 international journals highlight his ability to assess and refine high-quality research. His scholarly contributions, recognized by Stanford University’s list of the world’s top 2% scientists, attest to his analytical proficiency and dedication to mathematical research. His ability to mentor and guide students in research methodologies and scientific writing further underscores his leadership in academia. With a keen eye for mathematical rigor and precision, Prof. Othman continues to push the boundaries of knowledge in applied mathematics.

Awards and Honors

Prof. Mohamed I.A. Othman has received numerous accolades throughout his distinguished career, underscoring his contributions to mathematical sciences. He has been recognized as one of the world’s top 2% scientists by Stanford University for five consecutive years (2020–2024), a testament to his research impact. His extensive publication record, featuring 365 papers in international journals, highlights his influence in the field. He is a respected member of academic societies such as the American Mathematical Society and the Egyptian Mathematical Society, further cementing his reputation in the global mathematical community. Additionally, his editorial roles in leading journals like “Journal of Thermal Stresses” and “Frontiers in Physics” reflect his standing as an authority in applied mathematics. His recognition extends beyond academia, as his research has practical applications in engineering, materials science, and computational physics. With an h-index of 53 and over 8,500 citations, his scholarly contributions continue to shape mathematical research worldwide. These accolades affirm his status as a leading mathematician and an influential figure in the field of thermoelasticity.

Conclusion

Prof. Mohamed I.A. Othman’s remarkable career in mathematics is characterized by groundbreaking research, extensive mentorship, and international recognition. His expertise in thermoelasticity and mathematical physics has positioned him among the most influential researchers in his field. As a dedicated academic, he has guided numerous M.Sc. and Ph.D. students, fostering the next generation of mathematical scientists. His contributions to over 365 publications and active involvement in prestigious journals demonstrate his commitment to advancing mathematical knowledge. His recognition as one of the top 2% scientists by Stanford University highlights the global impact of his work. With memberships in renowned academic societies and editorial positions in leading scientific journals, Prof. Othman continues to shape the field of applied mathematics. His impressive citation record and research metrics reflect the lasting significance of his contributions. As he continues to explore new frontiers in mathematical sciences, his legacy as a scholar, mentor, and researcher remains firmly established, ensuring that his influence will be felt for years to come.

Publication Top Notes

  • Effect of mechanical force on a rotating diffusive-thermoelastic solid with microconcentration via Moore-Gibson-Thompson theory

    • Authors: M.I. Othman, S.M. Said, R.A. Fathy, M.G. Eldemerdash
    • Year: 2024

  • A new three-phase-lag model for magneto-thermoelastic diffusive medium with microconcentration

    • Authors: M.I. Othman, S.M. Said, R.A. Fathy, M.G. Eldemerdash
    • Year: 2024
    • Citations: 1

  • Porothermoelasticity of thermally shocked asphalt material under a multi-phase lag model

    • Authors: E.M. Abd-Elaziz, M.I. Othman
    • Year: 2024

  • Effects of Rotation and Nonlocality on the Thermoelastic Behavior of Micropolar Materials in the 3PHL Model

    • Authors: R.A. Fathy, E.E.M. Eraki, M.I. Othman
    • Year: 2024

  • Effects of rotation and inclined load on a nonlocal fiber-reinforced solid with temperature-dependent using the modified Green-Lindsay theory

    • Authors: S.M. Said, M.I. Othman, R.A. Fathy, E.M. Gamal
    • Year: 2024

  • Influence of the homotopy stability perturbation on physical variations of non-local opto-electronic semiconductor materials

    • Authors: A. El-Dali, M.I. Othman
    • Year: 2024

  • Three-phase lag model for thermal conductivity of a thermo-viscoelastic porous medium

    • Authors: M. Fekry, M.I. Othman
    • Year: 2024

  • A comparative study of temperature-dependent characteristics and non-local behavior in a submerged microstretch thermoelastic medium using two models

    • Authors: M.I. Othman, E.E.M. Eraki, M.F. Ismail
    • Year: 2024

  • Propagation of plane waves in nonlocal semiconductor nanostructure thermoelastic solid with fractional derivative due to ramp-type heat source

    • Authors: E.M. Abd-Elaziz, A. Jahangir, M.I. Othman
    • Year: 2024
    • Citations: 1

  • Influence of gravity and viscosity on a fiber-reinforced thermoelastic solid with voids via the three-phase-lag model

    • Authors: M.I. Othman, S.M. Said, R.A. Fathy, E.M. Gamal
    • Year: 2024