Mohammed Hussein | Applied Mathematics | Best Researcher Award

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Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

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Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

Professional Profile 

Google Scholar

Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69

 

liang cao | Interdisciplinary Mathematics | Best Researcher Award

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Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, China 

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profile 

Scopus Profile
ORCID Profile

Education 

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experience 

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Cao’s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honors 

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusion 

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

  • Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2024
    Source: Smart Materials and Structures

  • Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
    Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
    Year: 2023
    Source: Optik

  • Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2023
    Source: Probabilistic Engineering Mechanics

  • Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
    Authors: Liang Cao
    Year: 2020
    Source: International Journal of Reliability and Safety

  • Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
    Authors: Liang Cao
    Year: 2017
    Source: Structural and Multidisciplinary Optimization

  • Title: Safety Analysis of Structures with Probability and Evidence Theory
    Authors: Liang Cao
    Year: 2016
    Source: International Journal of Steel Structures

 

Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

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Assist. Prof. Dr. Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

Assistant Professor at Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

Dr. Shujaat Ali Shah is an accomplished researcher in Applied Mathematics, specializing in Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory. With over 16 years of academic experience, he serves as an Assistant Professor at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. He has published more than 30 peer-reviewed research papers in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, showcasing his expertise and commitment to advancing mathematical research. His work spans diverse areas, including fuzzy functions, q-calculus, and differential subordination, with significant international collaborations. Dr. Shah’s contributions to mathematical modeling and applied mathematics highlight his innovative approach. While his research impact is substantial, further engagement in high-impact publications, research grants, and global recognition could enhance his academic influence. His dedication and consistent research output position him as a strong candidate for prestigious research awards in mathematics.

Professional Profile 

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Education

Dr. Shujaat Ali Shah holds a Doctor of Philosophy (PhD) in Mathematics from COMSATS University Islamabad, where he conducted advanced research on linear operators in geometric function theory from 2016 to 2020. Prior to this, he earned his Master of Philosophy (M.Phil.) in Mathematics from Quaid-i-Azam University Islamabad (2009–2011), focusing on Γ-semigroups and their mathematical properties. His academic journey began with a Master of Science (M.Sc.) in Mathematics from the same institution (2006–2008), equipping him with a strong foundation in mathematical theories and analytical techniques. Through his studies, he specialized in complex analysis, geometric function theory, special functions, and semigroup theory, making significant contributions to these areas. His education has been instrumental in shaping his career as a dedicated researcher and professor, fostering a deep understanding of applied and theoretical mathematics while driving impactful research in the field.

Professional Experience

Dr. Shujaat Ali Shah is an accomplished academic with over 16 years of experience in teaching and research in mathematics. He currently serves as an Assistant Professor in the Department of Mathematics and Statistics at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. Previously, he worked as a Lecturer at the same institution and also held teaching positions at the Institute of Business Administration, Sukkur, and Govt. Degree College, Doulat Pur. His expertise spans Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, contributing to both undergraduate and postgraduate education. Dr. Shah has actively participated in research supervision, curriculum development, and academic training programs, enhancing the learning experience for students. He has also attended ICT teaching training programs, demonstrating his commitment to professional growth. His extensive teaching career, coupled with his prolific research contributions, makes him a distinguished figure in the field of applied mathematics.

Research Interest

Dr. Shujaat Ali Shah’s research interests lie in the fields of Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, with a strong focus on analytical methods and mathematical modeling. His work explores coefficient estimates, fuzzy functions, differential subordination, and convexity properties in function theory, contributing to the development of new mathematical frameworks. He has extensively investigated q-calculus, multiplier operators, and generalizations of close-to-convex functions, advancing knowledge in applied and theoretical mathematics. His research also extends to the study of harmonic functions, fuzzy differential equations, and analytic function subclasses, bridging pure and applied mathematical approaches. Through international collaborations and interdisciplinary studies, he continuously explores innovative methods to solve complex mathematical problems, particularly those relevant to engineering, physics, and computational sciences. With a robust publication record, Dr. Shah remains dedicated to expanding mathematical frontiers and fostering advancements in contemporary mathematical research.

Award and Honor

Dr. Shujaat Ali Shah is a distinguished researcher in applied mathematics, recognized for his significant contributions to complex analysis, geometric function theory, and special functions. With over 30 peer-reviewed publications in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, he has established himself as a leading academic in his field. His research collaborations span multiple countries, including Romania, Saudi Arabia, Egypt, and Spain, showcasing his global impact. Dr. Shah has been honored for his dedication to mathematical sciences through his role as an Assistant Professor at Quaid-i-Awam University and his extensive teaching and research experience of over 16 years. His scholarly work has earned him invitations to collaborate on international research projects, contributing to the advancement of applied mathematics. His recognition in academia continues to grow, solidifying his reputation as an influential mathematician dedicated to solving complex mathematical problems and mentoring future researchers.

Conclusion

Dr. Shujaat Ali Shah is a highly accomplished researcher in applied mathematics, with a strong focus on complex analysis, geometric function theory, and mathematical modeling. His extensive publication record in reputable international journals, coupled with collaborations across multiple countries, highlights his global research impact. With over 16 years of academic and research experience, he has consistently contributed to advancing mathematical knowledge through innovative studies on fuzzy functions, q-calculus, and differential subordination. While his research output and collaborations are commendable, further enhancing citation impact, securing research grants, and engaging in applied industrial projects could elevate his recognition to a higher level. His expertise, dedication, and consistent contributions make him a strong contender for the Best Researcher Award in Applied Mathematics. With a focus on expanding the real-world applications of his work and increasing scholarly influence, Dr. Shah has the potential to achieve even greater recognition in the global mathematical research community.

Publications Top Noted

  • Study on the q-analogue of a certain family of linear operators
    Authors: SA Shah, KI Noor
    Year: 2019
    Citations: 55

  • On fuzzy spiral-like functions associated with the family of linear operators
    Authors: AF Azzam, SA Shah, A Cătaș, LI Cotîrlă
    Year: 2023
    Citations: 10

  • On fuzzy differential subordination associated with q-difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 10

  • Inclusion results for the class of fuzzy α-convex functions
    Authors: SA Shah, EE Ali, AA Maitlo, T Abdeljawad, AM Albalahi
    Year: 2022
    Citations: 9

  • Fuzzy differential subordination and superordination results for q-analogue of multiplier transformation
    Authors: AA Lupas, SA Shah, LF Iambor
    Year: 2023
    Citations: 6

  • A Study of Spiral‐Like Harmonic Functions Associated with Quantum Calculus
    Authors: SA Shah, LI Cotirla, A Catas, C Dubau, G Cheregi
    Year: 2022
    Citations: 6

  • On q-Mocanu type functions associated with q-Ruscheweyh derivative operator
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 6

  • Applications of q-calculus multiplier operators and subordination for the study of particular analytic function subclasses
    Authors: EE Ali, GI Oros, SA Shah, AM Albalahi
    Year: 2023
    Citations: 6

  • On new subclass of harmonic univalent functions associated with modified q-operator
    Authors: SA Shah, AA Maitlo, MA Soomro, KI Noor
    Year: 2021
    Citations: 4

  • On fuzzy differential subordination associated with -difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 4

  • Application of Srivastava-Attiya Operator to the Generalization of Mocanu Functions
    Authors: KI Noor, SA Shah
    Year: 2019
    Citations: 3

  • Study of the fuzzy q-spiral-like functions associated with the generalized linear operator
    Authors: AA Azzam, D Breaz, SA Shah, LI Cotirla
    Year: 2023
    Citations: 2

  • On generalized gamma-Bazilevic functions
    Authors: KI Noor, SA Shah, A Saliu
    Year: 2021
    Citations: 2

  • Study of the q-spiral-like functions of complex order
    Authors: KI Noor, SA Shah
    Year: 2021
    Citations: 2

  • On certain generalized Bazilevic type functions associated with conic regions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 2

  • Study of Generalized q‐Close‐to‐Convex Functions Related to Parabolic Domain
    Authors: KI Noor, AA Lupas, SA Shah, AM Sibih, S Abdel-Khalek
    Year: 2023
    Citations: 1

  • Some Inclusion and Radius Problems of Certain Subclasses of Analytic Functions
    Authors: KI Noor, M Kamran, SA Shah
    Year: 2021
    Citations: 1

  • Applications of certain operators to the classes of analytic functions related to the generalized Janowski functions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 1

Huaiqing Zuo | Pure Mathematics | Best Researcher Award

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Prof. Huaiqing Zuo | Pure Mathematics | Best Researcher Award

Associate Head at Math. department of Tsinghua U, China

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Stephen S.-T. Yau, with a dissertation on the coordinate-free characterization of isolated homogeneous singularities. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership roles as Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has an extensive publication record, with numerous articles in high-impact journals, and has delivered invited talks at prestigious awards worldwide. His contributions have significantly advanced the understanding of isolated singularities and derivation Lie algebras, establishing him as a leading figure in his field.

Professional Profile 

Scopus Profile

Education

Dr. Huaiqing Zuo’s educational journey reflects a profound dedication to mathematics. He earned his Bachelor of Arts in Pure Mathematics from Guangzhou University in 2002, graduating with high honors. He then pursued a Ph.D. in Pure Mathematics at East China Normal University, completing it in 2010. During this period, he was an exchange student at the University of Illinois at Chicago (UIC) from 2007 to 2008, collaborating with Professor Stephen S.-T. Yau. Following this, Dr. Zuo obtained a Master of Science in Pure Mathematics from UIC in 2010. He continued at UIC as a Ph.D. candidate in Pure Mathematics, focusing on algebraic geometry, singularity theory, and coding theory. Throughout his doctoral studies, he served as a teaching assistant for various calculus courses, further honing his expertise and pedagogical skills.

Professional Experience

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. in Pure Mathematics from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Following his doctoral studies, Dr. Zuo joined Tsinghua University, where he has progressed through academic ranks: Assistant Professor (2013–2018), Associate Professor (2018–2023), and currently serves as a Professor since June 2023. In addition to his research and teaching roles, he has held significant administrative positions, including Associate Head of the Department of Mathematical Sciences and Director of the Teaching Committee since April 2024. Dr. Zuo’s contributions to the field are evidenced by numerous publications in high-impact journals and invitations to speak at international awards. His work has been recognized with several awards, such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Beyond his research, Dr. Zuo is committed to academic leadership and mentorship, having supervised multiple doctoral theses and actively participating in the academic community at Tsinghua University.

Research Interest

Dr. Huaiqing Zuo’s research interests encompass both pure and applied mathematics, with a particular focus on singularity theory, algebraic geometry, and coding theory. His work in singularity theory involves the study of spaces that are not well-behaved, such as those with points where mathematical objects are not defined or are not smooth. In algebraic geometry, he investigates the properties of geometric structures that are defined as solutions to systems of polynomial equations. Additionally, Dr. Zuo has explored coding theory, which involves the design of error-correcting codes for reliable data transmission and storage. His diverse research portfolio reflects a commitment to advancing mathematical understanding across these interconnected domains.

Award and Honor

Dr. Huaiqing Zuo has been recognized for his exceptional contributions to mathematics through several prestigious awards and honors. In 2017, he received the ICCM Best Paper Award Silver Award, along with three Distinguished Paper Awards from the same institution, underscoring the high quality and impact of his research. His excellence in academia was further acknowledged by Tsinghua University, where he was honored with the Faculty Excellence Award in 2023 and named Excellent Doctoral Thesis Supervisor in 2024, reflecting his dedication to both research and mentorship. Additionally, Dr. Zuo’s work has garnered significant attention in the mathematical community, with multiple papers being listed among ESI’s Most Cited Papers in 2023 and an Editor’s Pick by the Journal of Mathematical Physics in the same year, highlighting the influence and relevance of his scholarly contributions.

Conclusion

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership positions, including Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has delivered numerous invited talks at prestigious institutions and awards, reflecting his standing in the mathematical community. His extensive publication record includes articles in high-impact journals, underscoring his significant contributions to his field. Dr. Zuo’s blend of research excellence, leadership, and dedication to education positions him as a leading figure in contemporary mathematics.

Publications Top Noted

  • The weights of isolated curve singularities are determined by Hodge ideals
    • Authors: Yang Wang, Stephen Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Pacific Journal of Mathematics (PJM)
  • Normal surface singularities of small degrees
    • Authors: Stephen Yau, Hao Zuo, Huaiqing Zuo
    • Year: 2024
    • Source: Journal of the Mathematical Society of Japan
  • On the Nakai conjecture for some singularities
    • Authors: Xiao Zida, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Annali della Scuola Normale Superiore di Pisa, Classe di Scienze
  • Spectrum and Hertling conjectures for trimodal singularities
    • Authors: Quan Shi, Yang Wang, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the Steklov Institute of Mathematics
  • Three-dimensional rational isolated complete intersection singularities
    • Authors: Bingyi Chen, Stephen Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Various derivation Lie algebras of isolated singularities
    • Authors: Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Modules of differential operators of (k, s)-th Tjurina algebras of singularities
    • Authors: Siyong Tao, Huaiqing Zuo
    • Year: 2024
    • Source: Forum Mathematica
  • Recent results on non-existence of negative weight derivations for weighted homogeneous isolated singularities
    • Authors: Bingyi Chen, Hao Chen, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2022
    • Source: ICCM Notice
  • On jet closures of singularities
    • Authors: Yifan Chen, Huaiqing Zuo
    • Year: 2025
    • Source: Sbornik Mathematics
  • Three types of derivation Lie algebras of isolated hypersurface singularities
    • Authors: Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Rendiconti del Circolo Matematico di Palermo
  • On variation of complex structures and variation of new Lie algebras arising from singularities
    • Authors: Bingyi Chen, Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the 8th International Consortium of Chinese Mathematicians
  • On T-maps and ideals of antiderivatives of hypersurface singularities
    • Authors: Quan Shi, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Izvestiya: Mathematics
  • Hodge moduli algebras and complete invariants of singularities
    • Authors: Guorui Ma, Yang Wang, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Asian Journal of Mathematics
  • A characterization and solvability of quasihomogeneous singularities
    • Authors: Guorui Ma, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Pacific Journal of Mathematics
  • Sharp lower estimations for invariants associated with the ideal of antiderivatives of singularities
    • Authors: Naveed Hussain, Quan Shi, Huaiqing Zuo
    • Year: 2024
    • Source: Bulletin of the Iranian Mathematical Society

 

 

Maryam Alkandari | Pure Mathematics | Best Researcher Award

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Dr. Maryam Alkandari | Pure Mathematics | Best Researcher Award

 Associate Prof at Kuwait University, Kuwait

Dr. Maryam Mohammad Alkandari is an esteemed Associate Professor in the Department of Mathematics at Kuwait University, specializing in algebraic geometric coding theory, fractional calculus, and applied mathematics. She earned her Ph.D. from Imperial College London in 2003 and has since made significant contributions to mathematical research. With over 18 high-impact publications in renowned journals and a Springer Nature book, her work spans differential equations, operational calculus, and mathematical modeling. She has led seven major research projects, receiving multiple grants and awards. Dr. Alkandari is also dedicated to education, contributing to mathematics pedagogy and autism research. She has presented at international awards and collaborated on interdisciplinary projects. Her research continues to influence pure and applied mathematics, with potential for industrial applications. With a strong academic foundation and impactful contributions, she stands as a leading researcher in her field, making her an excellent candidate for prestigious research awards.

Professional Profile 

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Education

Dr. Maryam Mohammad Alkandari holds a Ph.D. in Algebraic Geometric Coding Theory from Imperial College London, UK, awarded in 2003. Alongside her doctorate, she earned a Diploma in Algebra from Imperial College the same year. She previously completed her M.S. in Pure Mathematics in 1997 and a B.S. in Mathematics in 1994, both from Kuwait University. Her doctoral research, titled “Decoding Partial Geometric Codes,” focused on advanced algebraic structures and coding theory, demonstrating her expertise in mathematical problem-solving. Over the years, she has expanded her research into applied mathematics, fractional calculus, and mathematical modeling. With a strong foundation in pure and applied mathematics, Dr. Alkandari has significantly contributed to her field through research, teaching, and mentorship. Her academic journey reflects a commitment to innovation, interdisciplinary studies, and advancing mathematical knowledge in both theoretical and practical applications.

Professional Experience

Dr. Maryam Mohammad Alkandari is an accomplished mathematician and Associate Professor at Kuwait University with over two decades of academic and research experience. She specializes in applied mathematics, algebraic geometric coding theory, and fractional calculus. Since earning her Ph.D. from Imperial College London in 2003, she has held key academic positions, contributing significantly to mathematical research and education. As a principal investigator, she has led multiple funded projects, including studies on fractional calculus, operational methods, and mathematical modeling. Dr. Alkandari has published extensively in high-impact journals and authored a book with Springer Nature Switzerland. She actively participates in international awards and collaborates on interdisciplinary research, including mathematics education and autism studies. Her mentorship, leadership in research, and commitment to advancing mathematical sciences have earned her prestigious grants and recognition. Dr. Alkandari continues to push the boundaries of mathematical applications, making significant contributions to both academia and industry.

Research Interest

Dr. Maryam Mohammad Alkandari’s research interests lie in applied mathematics, fractional calculus, algebraic geometric coding theory, and differential equations, with a strong focus on both theoretical advancements and practical applications. Her work extensively explores operational calculus, algebraic structures, and numerical methods for solving complex mathematical problems. She has made significant contributions to fractional differential equations, oscillation theory, and integral transforms, with applications in engineering, physics, and mathematical modeling. Dr. Alkandari is also interested in mathematics education and pedagogical approaches, particularly the integration of technology in learning and teaching methodologies. Her interdisciplinary research extends to mathematical models in autism education, demonstrating the societal impact of her work. Additionally, she is involved in research projects that explore novel mathematical techniques in oil production and refining. Through her prolific publications, funded research projects, and international collaborations, Dr. Alkandari continues to push the boundaries of applied mathematics and its real-world applications.

Award and Honor

Dr. Maryam Mohammad Alkandari has received numerous awards and honors in recognition of her outstanding contributions to applied mathematics, fractional calculus, and algebraic geometric coding theory. She has been the Principal Investigator (PI) on seven major research projects funded by Kuwait University, including groundbreaking studies on operational methods in fractional calculus and mathematical modeling in oil production. Her excellence in research has been acknowledged through multiple grant awards, including the prestigious Project Award for Operational Method in Fractional Calculus (SM01/17, SM01/20). Additionally, she has been honored with unfunded rewarded papers from Kuwait University’s Research Sector, highlighting her influential publications in top-tier journals. Dr. Alkandari has presented her work at international awards in Turkey, Taiwan, and Kuwait, further solidifying her global academic reputation. With her extensive contributions to research, education, and mentorship, she continues to be a leading figure in applied mathematics, earning well-deserved recognition and respect in the field.

Conclusion

Dr. Maryam Mohammad Alkandari is an accomplished researcher and academic in applied mathematics, specializing in algebraic geometric coding theory, fractional calculus, and differential equations. With a Ph.D. from Imperial College London and over two decades of experience at Kuwait University, she has made significant contributions through numerous high-impact publications, funded research projects, and international award presentations. Her work spans theoretical advancements and practical applications, including innovative mathematical methods in education and autism research. Recognized with multiple research grants and awards, she has demonstrated leadership in interdisciplinary studies and academic mentorship. While her research impact is commendable, further international collaborations, industry applications, and editorial leadership could elevate her global influence. Dr. Alkandari’s dedication to advancing mathematical sciences and her contributions to education make her a strong candidate for prestigious research awards, positioning her as a leading figure in applied mathematics with the potential to make lasting global contributions.

Publications Top Noted

  • Operational Calculus for the General Fractional Derivatives of Arbitrary Order
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2022
    • Citations: 18
  • Operational Method for Solving Fractional Differential Equations with the Left-and Right-Hand Sided Erdélyi-Kober Fractional Derivatives
    • Authors: L.A.M. Hanna, M. Al-Kandari, Y. Luchko
    • Year: 2020
    • Citations: 16
  • A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models
    • Authors: M. Al-Kandari, K. Adjenughwure, K. Papadopoulos
    • Year: 2020
    • Citations: 13
  • Half-Linear Differential Equations of Fourth Order: Oscillation Criteria of Solutions
    • Authors: O. Bazighifan, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, F. Mofarreh
    • Year: 2022
    • Citations: 7
  • Delay Differential Equations of Fourth-Order: Oscillation and Asymptotic Properties of Solutions
    • Authors: O. Bazighifan, M. Al-Kandari, K.S. Al-Ghafri, F. Ghanim, S. Askar, G.I. Oros
    • Year: 2021
    • Citations: 7
  • Calculus 1 College Students’ Concept of Function
    • Authors: A.H. Alajmi, M.M. Al-Kandari
    • Year: 2022
    • Citations: 5
  • New Criteria for Oscillation of Half-Linear Differential Equations with p-Laplacian-like Operators
    • Authors: O. Bazighifan, F. Ghanim, J. Awrejcewicz, K.S. Al-Ghafri, M. Al-Kandari
    • Year: 2021
    • Citations: 4
  • Enhancing Kuwaiti Teachers’ Technology-Assisted Mathematics Teaching Practices
    • Authors: M. Soliman, Z. Lavicza, T. Prodromou, M. Al-Kandari, T. Houghton
    • Year: 2019
    • Citations: 4
  • Some Oscillation Results for Even-Order Differential Equations with Neutral Term
    • Authors: M. Al-Kandari, O. Bazighifan
    • Year: 2021
    • Citations: 3
  • On an Extension of the Mikusiński Type Operational Calculus for the Caputo Fractional Derivative
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2021
    • Citations: 3
  • A Convolution Family in the Dimovski Sense for the Composed Erdélyi-Kober Fractional Integrals
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y.F. Luchko
    • Year: 2019
    • Citations: 3
  • Operational Calculus for the 1st Level General Fractional Derivatives and its Applications
    • Authors: M. Al-Kandari, Y. Luchko
    • Year: 2024
    • Citations: 2
  • A New Modification of an Iterative Method Based on Inverse Polynomial for Solving Cauchy Problems
    • Authors: A.H. Ali, O. Alabdali, M.T. Yaseen, M. Al-Kandari, O. Bazighifan
    • Year: 2023
    • Citations: 1

 

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

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Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

Professional Profile 

Google Scholar

Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

  • Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
    • Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
    • Year: 2024
    • Citations: 5
  • Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
    • Authors: S.I. Butt, M.N. Aftab, Y. Seol
    • Year: 2024
    • Citations: 3
  • Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
    • Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
    • Year: 2024
  • Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
    • Authors: M.N. Aftab
    • Year: 2021

 

 

Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award | 2055

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Assist. Prof. Dr. Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

Dr. Navneet Kumar Lamba is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal. With over 13 years of teaching and research experience, he specializes in Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. He has published 60 research papers in peer-reviewed, Scopus, and Web of Science journals, authored 9 books, and contributed 3 book chapters. His research on infectious disease modeling, particularly COVID-19, has been widely recognized. He has received prestigious accolades, including the Research Excellence Award-2021 (UK) and multiple Best Paper Awards. Dr. Lamba has successfully supervised Ph.D. scholars and plays a key role in various academic committees. An active member of multiple professional bodies, he has also organized national awards. His commitment to research and academia makes him a distinguished scholar in the field of Computational Mathematics.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Dr. Navneet Kumar Lamba holds a Ph.D. in Mathematics from R.T.M. Nagpur University, awarded in 2013, demonstrating his expertise in advanced mathematical research. He earned his Master of Science (M.Sc.) in Mathematics from the same university in 2007, securing the 3rd Merit position at the university level with an impressive 67.7%. His Bachelor of Science (B.Sc.) degree, with a focus on Physics, Chemistry, and Mathematics, was completed at D.A.V. College, Jalandhar, under Guru Nanak Dev University, Amritsar, in 2005 with 63.5% (First Division). His early education includes Higher Secondary (XII) from St. Thomas School, Jalandhar (CBSE, New Delhi), where he scored 60.5%, and Secondary Education (X) from Bright Buds School, Jaipur (Rajasthan Board) with 59.33%. His strong academic foundation, coupled with continuous research and teaching excellence, has contributed significantly to his standing as a distinguished mathematician and educator.

Professional Experience

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years and 2 months of experience in teaching and research. Currently serving as an Assistant Professor and Head of the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal, he has made significant contributions to the fields of Operations Research, Mathematical Modeling, and Solid Mechanics. His professional journey includes teaching positions at Dronacharya College of Engineering, Gurugram, Priyadarshini Institute of Engineering & Technology, Nagpur, and Nagarjuna Institute of Engineering, Technology, and Management, Nagpur. He has guided Ph.D. scholars, authored 9 books and 60+ research papers, and actively participates in academic leadership roles such as IQAC Cell, Research & Development Cell, and Teacher Guardian Scheme. His work has earned him multiple accolades, including the Research Excellence Award-2021 and Best Paper Awards (2021, 2023), solidifying his reputation as a leading researcher in applied mathematics.

Research Interest

Dr. Navneet Kumar Lamba’s research interests span a broad spectrum of fundamental and applied mathematics, focusing primarily on Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. His work in linear programming and algorithmic methodologies has contributed to developing efficient problem-solving techniques. He has also made significant strides in boundary value problems, applied modeling of infectious diseases, and thermal stress analysis in solid mechanics, particularly in studying memory-dependent thermoelastic responses. His recent research delves into the fractional-order heat conduction models, hygrothermal effects in materials, and thermosensitive structures. Additionally, Dr. Lamba has explored the mathematical modeling of COVID-19 transmission dynamics, providing valuable insights into epidemiological trends. With over 60 research publications in Scopus, Web of Science, and UGC Care-listed journals, his work continues to impact both theoretical and applied aspects of mathematics. His research aims to bridge gaps between mathematical theory and real-world applications, fostering innovation and problem-solving in diverse domains.

Award and Honor

Dr. Navneet Kumar Lamba has been recognized for his outstanding contributions to research and academia with several prestigious awards and honors. He received the Research Excellence Award-2021 from the National Health Service England (UK) and Chintamani Mahavidyalaya, acknowledging his significant research in mathematics and its applications. His exceptional scholarly work has also earned him Best Paper Awards in 2021 and 2023 at the International Conference on Advancement in Science, Technology, and Management. With a distinguished academic career spanning over 13 years, Dr. Lamba has authored 60 research papers in reputed peer-reviewed journals, 9 books, and 3 book chapters, further cementing his position as a leading researcher in mathematics. Additionally, he has guided Ph.D. scholars, actively participated in national and international awards, and contributed to institutional development through key academic committees. His dedication to mathematical research, teaching, and mentorship has earned him widespread recognition in the academic community.

Conclusion

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years of experience in mathematics, specializing in operations research, mathematical modeling, and optimization problems. His impressive portfolio includes 60 peer-reviewed research papers, 9 authored books, and multiple accolades such as the Research Excellence Award-2021 and Best Paper Awards in 2021 and 2023. As an Assistant Professor and Head of Department, he has contributed significantly to academia through research supervision, professional memberships, and leadership roles in various academic committees. His work on infectious disease modeling, particularly COVID-19, highlights his commitment to applied research. While his contributions are exemplary, further enhancements in citation impact, global collaborations, and research grants would strengthen his research influence. Overall, Dr. Lamba’s dedication to research, teaching, and academic leadership makes him a strong contender for the Best Researcher Award, recognizing his invaluable contributions to mathematics and scientific advancements.

Publications Top Noted

  • A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand
    • Authors: Alamri, O.A.; Lamba, N.K.; Jayaswal, M.K.; Mittal, M.
    • Year: 2024
  • Memory Dependent Response in an Infinitely Long Thermoelastic Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2024
  • Quasi-static Thermal Response of a Circular Plate due to the Influence of Memory-dependent Derivatives
    • Authors: Lamba, N.K.
    • Year: 2024
  • Thermal Characteristics of a Multilayered Annular Disk with Thermosensitive Features using a Fractional-order Heat Conduction Model
    • Authors: Lamba, N.K.; Manthena, V.R.; Bhad, P.P.; Srinivas, V.B.; Abouelregal, A.E.
    • Year: 2024
  • Thermal Stresses Associated with a Thermosensitive Multilayered Disc Analysed Due to Point Heating
    • Authors: Srinivas, V.B.; Manthena, V.R.; Warbhe, S.D.; Kedar, G.D.; Lamba, N.K.
    • Year: 2024
  • Memory-based Thermoelastic Modelling of an Annular Disc under Heating and Cooling Processes
    • Authors: Lamba, N.K.; Varhadpande, I.; Murty, V.R.K.
    • Year: 2024
  • Impact of Memory-dependent Response of a Thermoelastic Thick Solid Cylinder
    • Authors: Lamba, N.K.
    • Year: 2023
  • Hygrothermoelastic Response of a Finite Hollow Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Memory Impact of Hygrothermal Effect in a Hollow Cylinder by Theory of Uncoupled-Coupled Heat and Moisture
    • Authors: Verma, J.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Thermosensitive Response of a Functionally Graded Cylinder with Fractional Order Derivative
    • Authors: Lamba, N.K.
    • Year: 2022
  • A Comparative Study of COVID-19 Pandemic in Rajasthan, India
    • Authors: Jayaswal, M.K.; Lamba, N.K.; Yadav, R.; Mittal, M.
    • Year: 2021
  • Impact of COVID-19: A Mathematical Model
    • Authors: Warbhe, S.D.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2021
  • Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns
    • Authors: Lamba, N.K.; Warbhe, S.D.; Deshmukh, K.C.
    • Year: 2021
  • Hygrothermoelastic Response of a Finite Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2020
  • Thermal Behavior of a Finite Hollow Cylinder in Context of Fractional Thermoelasticity with Convection Boundary Conditions
    • Authors: Kumar, N.; Kamdi, D.B.
    • Year: 2020

B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

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Dr. B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Professor at T. John Group of Institutions India

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with over 25 years of experience in teaching, research, and administration across India and the UAE. He has made significant contributions to computer science, specializing in machine learning, IoT, cloud security, and semantic web mining. With 25+ publications in SCOPUS and IEEE-indexed journals and presentations at 20+ international awards, his research has garnered global recognition. He actively supervises PhD scholars and has mentored over 100 undergraduate and postgraduate research projects. As a curriculum developer, he has aligned academic programs with national and international standards. He holds key research identifiers, including a Scopus ID and an h-index of 4. His expertise extends to industry collaborations, technical writing, and consultancy services. While enhancing high-impact research and funded projects could further strengthen his profile, his vast academic and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile:

Google Scholar
ORCID Profile 

Education:

Prof. Dr. B. Meenakshi Sundaram holds a Ph.D. in Computer Science from Bharathiar University, Coimbatore (2017), showcasing his expertise in advanced computing research. He earned his M.Tech in Information Technology (2009) from Manonmaniam Sundaranar University, securing First Class with Distinction. His academic journey began with a B.Sc. in Physics with Electronics (1996) and an M.Sc. in Computer Science (1998), both from Madurai Kamaraj University, where he excelled with distinction. Additionally, he pursued an M.Phil in Computer Science (2006) to deepen his research acumen. Beyond formal degrees, he has completed specialized professional certifications, including NPTEL courses from IIT Kharagpur and IIT Madras, as well as industry-relevant training from Infosys, Wipro, and IBM. His diverse educational background, spanning core science, engineering, and computing disciplines, has enabled him to make significant contributions to academia, research, and curriculum development at both national and international levels.

Professional Experience:

Prof. Dr. B. Meenakshi Sundaram has over 25 years of extensive experience in teaching, research, and academic administration across India and the UAE. He has served as a Professor, Associate Professor, Academic Program Manager, and Exam Controller at prestigious institutions, including New Horizon College of Engineering, Karunya University, and Syscoms College, Abu Dhabi. His expertise lies in curriculum development, faculty enrichment, industry-academic collaboration, and research supervision. He has played a key role in designing and aligning Bachelors and Masters programs with national and international accreditation standards. As a researcher, he has supervised PhD scholars, guided 100+ postgraduate and undergraduate research projects, and published 25+ research papers in SCOPUS and IEEE-indexed journals. He has also been actively involved in consultancy services, technical writing, and faculty training programs. With a strong commitment to academic excellence, he continues to contribute to cutting-edge research in computer science, artificial intelligence, and cloud computing.

Research Interest:

Prof. Dr. B. Meenakshi Sundaram’s research interests encompass a wide range of cutting-edge areas in computer science, artificial intelligence, and cybersecurity. His work primarily focuses on semantic web mining, machine learning, IoT, cloud security, and data analytics, addressing critical challenges in intelligent systems and computational frameworks. He has made significant contributions to ontology-based information retrieval, cloud integration, and security frameworks, with an emphasis on developing efficient and scalable solutions for real-world applications. His research also extends to imbalanced data classification, deep learning, and digital innovation in education, exploring novel methodologies to enhance computational intelligence and cybersecurity mechanisms. With a strong commitment to interdisciplinary research, he actively engages in AI-driven enterprise security, intelligent decision-making systems, and web service optimizations, aiming to bridge the gap between academia and industry. His research efforts contribute to advancing smart computing, digital transformation, and next-generation AI technologies.

Award and Honor:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with a remarkable career spanning over 25 years in teaching, research, and administration. His contributions to computer science, particularly in machine learning, IoT, cloud security, and semantic web mining, have earned him recognition in national and international forums. He has published 25+ research papers in reputed SCOPUS and IEEE-indexed journals, presented at 20+ awards, and actively mentors PhD scholars and postgraduate students. As a professional member of IEEE and Institution of Engineers (India), he has contributed to global research collaborations and curriculum development initiatives. He has received certifications from IIT Madras, IIT Kharagpur, and other reputed institutions, further showcasing his dedication to academic excellence. His significant contributions to academia, research supervision, and international collaborations make him a highly deserving candidate for prestigious awards in research and innovation.

Conclusion:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with 25 years of experience in teaching, research, and administration. His extensive contributions to computer science, particularly in semantic web mining, IoT, and cloud security, are reflected in his 25+ publications in reputed journals, including SCOPUS and IEEE-indexed papers. As a mentor, he has guided numerous research scholars and postgraduate students, fostering academic excellence. His involvement in curriculum development, international collaborations, and industry-academia partnerships further solidifies his impact on higher education. While his research credentials are strong, expanding high-impact publications, securing funded projects, and increasing citation metrics can enhance his global research standing. Nevertheless, his academic leadership, interdisciplinary research, and commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His dedication to innovation and scholarly excellence continues to shape the future of computing and technology-driven education.

Publications Top Noted:

  • Face recognition based automated remote proctoring platform
    • Authors: N Sasikala, BM Sundaram, VN Kumar, J Sumanth, S Hrithik
    • Year: 2022
    • Citations: 7
  • Survey of latest technologies on Decentralized applications using Blockchain
    • Authors: N Sasikala, BM Sundaram, S Biswas, AS Nikhil, VS Rohith
    • Year: 2022
    • Citations: 6
  • Disaster relief compensation computational framework
    • Authors: BM Sundaram, B Rajalakshmi, BA Singh, RS Kumar, R Arsha
    • Year: 2022
    • Citations: 6
  • More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies
    • Authors: BM Sundaram
    • Year: 2021
    • Citations: 6
  • Fall detection among elderly using deep learning
    • Authors: BM Sundaram, B Rajalakshmi, RK Mandal, S Nair, SS Choudhary
    • Year: 2023
    • Citations: 4
  • An Analysis on Security Threats in Cloud Computing
    • Authors: AP Nirmala, R Prema, BM Sundaram
    • Year: 2019
    • Citations: 4
  • A Roadmap to Application Integration using IoT Cloud Platform
    • Authors: DT Dr. BM Sundaram
    • Year: 2020
    • Citations: 3
  • Cross Domain Composition of Web Service Workflows using a Provenance Ontology with an automated Re-planning
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 3
  • Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
    • Authors: BM Sundaram
    • Year: 2020
    • Citations: 2
  • Fuzzy-XDDS: A Fuzzy Based Cross-Domain Services Matchmaker for Semantic Web Services
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 2
  • AirGuard AI: Revolutionizing Air Cargo Inspection through Pygame and YOLOv8 Simulation
    • Authors: BM Sundaram, B Rajalakshmi, A Saxena, B Vasumati
    • Year: 2024
    • Citations: 1
  • Deep learning implemented communication system for the auditory and verbally challenged
    • Authors: B Chempavathy, BM Sundaram, A Shaynam, A Goswami, S Bindya
    • Year: 2023
    • Citations: 1
  • Malware Exposed: An In-Depth Analysis of its Behavior and Threats
    • Authors: C Anand, S Korada, S Raksha, BM Sundaram, B Rajalakshmi
    • Year: 2023
    • Citations: 1
  • Modeling crime prediction using ML
    • Authors: BM Sundaram, B Rajalakshmi, B Anusha, MK Bindu, BL Keerthi
    • Year: 2022
    • Citations: 1
  • Cardiovascular disease detection using machine learning-a survey
    • Authors: BM Sundaram, B Rajalakshmi, Eshwar, Tanith, L Emmanuel
    • Year: 2022
    • Citations: 1
  • A holistic redesign of web elements using CATWOE analysis
    • Authors: R Jayakumar, BM Sundaram, MA Sankaridevi
    • Year: 2019
    • Citations: 1
  • Dual Tree Complex Wavelet based Regularized Deconvolution for Medical Images
    • Authors: R Murugesan, V Thavavel, BM Sundaram
    • Year: 2007
    • Citations: 1
  • Smart City Traffic Management
    • Authors: BM Sundaram, JG Chowdary, R Gonela, B Rajalakshmi
    • Year: 2024
    • Citations: 1
  • Retinal Authentication for E-Voting
    • Authors: LS Hanne, BM Sundaram, M Rakshitha, V Kishore, A Meenakshi
    • Year: 2024
    • Citations: 1
  • DRS-UNET: A Deep Learning Approach for Diabetic Retinopathy Detection and Segmentation from Fundus Images
    • Authors: RS Gound, BM Sundaram, SK BV, PA Azmat, MNU Habib, A Garg
    • Year: 2023
    • Citations: 1