Mumtaz Khan | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Mumtaz Khan | Mathematics | Best Researcher Award

Chuxiong Normal university | China

Assoc. Prof. Dr. Mumtaz Khan is a well-established researcher in applied mathematics and thermal–fluid sciences, with significant contributions to magnetohydrodynamics, nanofluid heat transfer, fractional calculus, and advanced numerical modeling. He has authored 37 scholarly documents, which have received 743 citations from 509 citing publications, demonstrating strong visibility and influence in the scientific community, with an h-index of 17. His research integrates fractional-order modeling, hybrid nanofluids, non-Newtonian fluid dynamics, porous media flow, and heat and mass transfer under complex physical effects such as magnetic fields, thermal radiation, slip conditions, and chemical reactions. He has published extensively in high-impact international journals, including Mathematical Methods in the Applied Sciences, Case Studies in Thermal Engineering, Ain Shams Engineering Journal, and ZAMM. His recent work also incorporates artificial neural networks and optimization techniques to enhance predictive accuracy in transport phenomena, contributing valuable theoretical and computational insights for engineering and energy-related applications.

 

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Featured Publications

Davron Juraev | Mathematics | Best Researcher Award

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Prof. Dr. Davron Juraev | Mathematics | Best Researcher Award

Turon University | Uzbekistan

Prof. Dr. Davron Juraev is a leading mathematical scientist recognized for his profound contributions to mathematical physics, numerical analysis, and applied mathematics, with a citation record of 1421 citations, an h-index of 22, and an i10-index of 39. His extensive publication portfolio covers topics such as the Cauchy problem, Helmholtz equations, fractional calculus, and ill-posed problems, making significant theoretical and computational advancements. Prof. Juraev has served as Editor-in-Chief of the Karshi Multidisciplinary International Scientific Journal (KMISJ) and on editorial boards of numerous international journals, including IETI Transactions on Data Analysis and Forecasting (iTDAF), Computational Algorithms and Numerical Dimensions (CAND), and Advanced Engineering Science (AES). He has also acted as a Guest Editor for special issues in Axioms (Switzerland) and Global and Stochastic Analysis (India). His research leadership extends to major projects funded by the Academy of Sciences of Uzbekistan and the Ministry of Innovative Development, focusing on dynamic systems and anti-radar missile trajectory optimization. Widely respected as a reviewer, collaborator, and innovator, Prof. Juraev’s works continue to influence contemporary research in computational modeling, differential equations, and mathematical problem-solving worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Efendiev, R. F., Juraev, D. A., & Elsayed, E. E. (2025). PT-symmetric Dirac inverse spectral problem with discontinuity conditions on the whole axis. Symmetry, 17(10), 1603.

Martin, N., Yue, G. X. G., & Juraev, D. A. (2025). Plithogenic machine learning solutions to material selection in renewable energy systems. IETI Transactions on Data Analysis and Forecasting (iTDAF), 3(3), Article 57085.

Juraev, D. A. (2025). A mathematical model for the maintenance scheduling problem with disturbance effect and single maintenance team. Advanced Mathematical Models and Applications, 10(2), 304.

Basholli, F., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Deep learning for skin disease classification: A comparative study of CNN and CNN-LSTM architectures. Journal of Computing and Data Technology, 1(1), 40–49.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Abdalla, M. (2025). Cauchy problem for the biharmonic equation. Journal of Umm Al-Qura University for Applied Sciences, 5(2), 244.

Liu, T., Ding, B., Nemati Saray, B., Juraev, D. A., & Elsayed, E. E. (2025). On the pseudospectral method for solving the fractional Klein–Gordon equation using Legendre cardinal functions. Fractal and Fractional, 9(3), 177.

Annaghili, S., Efendiev, R., Juraev, D. A., & Abdalla, M. (2025). Spectral analysis for the almost periodic quadratic pencil with impulse. Boundary Value Problems, 2025(1), 27.

Abdulwahid, M. M., Kurnaz, S., Kurnaz Türken, A., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Performance analysis of input power variations in high data rate DWDM-FSO systems under various rain conditions. Journal of Optics, 54(1), 47.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Cauchy problem for matrix factorizations of Helmholtz equation on a plane. In Recent Trends in Fractional Calculus and Its Applications (pp. 245–258). Elsevier.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Integral formula for matrix factorizations of Helmholtz equation. In Recent Trends in Fractional Calculus and Its Applications (pp. 233–243). Elsevier.

Juraev, D. A., Noeiaghdam, S., Agarwal, P., & Agarwal, R. P. (2024). On the Cauchy problem for systems of linear equations of elliptic type of the first order in the space R^m. Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, 4(1), 77–90.*

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). The Cauchy problem for matrix factorizations of Helmholtz equation in space. In Recent Trends in Fractional Calculus and Its Applications (pp. 259–273). Elsevier.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Jalalov, M. J. (2024). The Cauchy problem for the system of elasticity. Journal of Contemporary Applied Mathematics, 14(2), 92.

Muxammedov, B. M., Sanko, A. A., Juraev, D. A., & Elsayed, E. E. (2024). Optimizing rocket trajectories: Advanced mathematical modeling in MATLAB/Simulink. International Journal of Information Technology, 16(12), 2162.

Putra, F. G., Putra, R. W. Y., Ricardo, S., Widyawati, S., & Juraev, D. A. (2024). Effectiveness of meaningful instructional design in improving students' mathematical skills. Journal of Philology and Educational Sciences, 32(5), 325.

Liu, T., Xue, R., Ding, B., Juraev, D. A., Nemati Saray, B., & Soleymani, F. (2024). A novel and effective scheme for solving the fractional telegraph problem via the spectral element method. Fractal and Fractional, 8(12), 711.

Elsayed, E. E., Hayal, M. R., & Juraev, D. A. (2024). Ensemble machine learning approaches for robust classification of maize plant leaf diseases. Journal of Modern Technology, 1(2), 87–93.

Egamberdiev, K., Khidirova, N., Juraev, D. A., & Elsayed, E. E. (2024). Numerical solution of groundwater modeling for mountain regions of Uzbekistan. Discover Water, 4(1), 159.

Raghavendran Prabakaran | Mathematics | Best Scholar Award

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Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Author Profile

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Early Academic Pursuits

Mr. Raghavendran Prabakaran began his academic journey with a strong foundation in mathematics. He completed his B.Sc. in Mathematics from the prestigious Loyola College, Chennai. Building on this, he pursued his M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His dedication to research led him to enroll in a Ph.D. program at the same institution, focusing on cutting-edge mathematical applications in AI and cryptography.

Professional Endeavors

Mr. Prabakaran has actively engaged in interdisciplinary research through internships at Symbiosis Institute of Digital and Telecom Management, where he contributed to innovative projects related to Brain-Computer Interfaces (BCI), AI in neuroscience, and energy forecasting. These roles not only refined his technical skills but also positioned him at the intersection of applied mathematics and next-generation AI applications.

Contributions and Research Focus

His primary research areas include Fractional Differential Equations, Control Theory, Integral Transforms, Fuzzy Analysis, Cryptography, and Artificial Neural Networks. His Ph.D. dissertation explores advanced integro-differential systems with state-dependent delays, which have direct implications in AI modeling and secure communication systems. Mr. Prabakaran’s passion for innovation is evident from his 12 published patents, introducing transformative concepts such as the P-Transform, A-Transform, Y-Transform, and V-Transform for applications ranging from signal processing to robotics and environmental monitoring.

Accolades and Recognition

Mr. Raghavendran Prabakaran boasts an impressive academic portfolio, including 22 journal articles, 12 conference papers, 13 book chapters, and one authored book. Several of his publications appear in Q1 journals indexed in Web of Science (WoS) and Scopus, reflecting the high quality of his research. His scholarly influence is evident through 184 citations and an h-index of 9 on Scopus, 79 citations and an h-index of 6 on Web of Science, and 219 citations with an i10-index of 8 on Google Scholar. His pioneering research, particularly in AI-integrated control theory and the development of mathematical models for real-world applications, has earned widespread academic recognition and continues to impact multiple scientific domains.

Impact and Influence

Mr. Prabakaran’s research contributions resonate across disciplines, especially in AI, cryptography, energy systems, neuroscience, and robotics. His patented technologies have the potential to revolutionize fields like healthcare (Parkinson’s diagnosis), transport (driver alert systems), and disaster management (forest fire detection). He is recognized as a bridge between theoretical mathematics and applied innovation.

Legacy and Future Contributions

As a dynamic scholar with an impressive blend of mathematical precision and technological foresight, Mr. Raghavendran Prabakaran is poised to lead future innovations in AI-driven control systems, smart robotics, and secure communication protocols. His forward-thinking approach ensures that his work will continue to influence academic research, industrial applications, and policy-level technological adoption for years to come.

Publications

A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam
Journal: Fractal and Fractional
Year: 2025

Existence, Uniqueness, and Stability Results of Fractional Volterra-Fredholm Integro-Differential Equations with State Dependent Delay
Authors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Kottakkaran Sooppy Nisar
Journal: Qualitative Theory of Dynamical Systems
Year: 2025

R-Transform Techniques for Strengthening Cryptographic Protocols in Digital Supply Networks
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar
Journal: Global Integrated Mathematics
Year: 2025

Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations
Authors: Prabakaran Raghavendran, T. Gunasekar, Shyam Sundar Santra, Dumitru Baleanu
Journal: Journal of Mathematics and Computer Science
Year: 2025

Application of Pourreza Transform to Solve Fractional Integro-Differential Equations
Authors: T. Gunasekar, P. Udhayasankar, Prabakaran Raghavendran, M. Suba
Journal: Journal of Applied Mathematics and Informatics
Year: 2025

Jamal Salah | Mathematics | Best Researcher Award

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Dr. Jamal Salah | Mathematics | Best Researcher Award

A'Sharqiyah University | Oman

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Early Academic Pursuits 🎓

Dr. Jamal Salah completed his Bachelor’s degree in Electrical Engineering at the University of Basrah in 1988. He continued his studies and obtained a Master’s degree in Electrical Engineering from the University of Science and Technology in 1995. His academic journey culminated with a Ph.D. in Electrical Engineering from the University of Bradford in 2005.

Professional Endeavors 💼

Dr. Salah's professional career began at the Ministry of Higher Education in Iraq, where he played a pivotal role in shaping future generations of engineers. He held the position of Assistant Professor in Electrical Engineering at Al-Nahrain University from 2005 to 2009. In 2010, he joined the University of Malaya as a Senior Lecturer and later progressed to an Associate Professor. He has also held various administrative positions, including the head of the Electrical Engineering Department and Dean of the Faculty of Engineering.

Research Focus and Contributions 🔬

Dr. Salah's research interests are primarily in computer networks, security, and wireless communications. His contributions to the field include:

  • Network Security: Researching vulnerabilities in computer networks and proposing solutions to enhance security measures.
  • Wireless Communications: Investigating the challenges and advancements in wireless communication technologies.
  • Emerging Technologies: Exploring the impact of emerging technologies on the engineering landscape.

His work has led to multiple publications in reputable journals and conference proceedings.

Accolades and Recognition 🏆

Dr. Salah has received numerous awards throughout his career, recognizing his contributions to education and research. He has been actively involved in organizing international conferences and workshops, further solidifying his reputation in the academic community.

Impact and Influence 🌍

Through his teaching, mentorship, and research, Dr. Salah has influenced many students and young professionals in the field of electrical engineering. His commitment to academic excellence and innovation continues to inspire future generations.

Legacy and Future Contributions 🔮

As a respected academic and researcher, Dr. Salah is poised to make significant contributions to the field of electrical engineering. His ongoing research and involvement in educational initiatives aim to address the challenges posed by rapidly evolving technologies, ensuring that future engineers are well-equipped to navigate the complexities of the modern world.

 

Publications

  • 📄 On Uniformly Starlike Functions with Respect to Symmetrical Points Involving the Mittag-Leffler Function and the Lambert Series
    Author: Salah, J.
    Journal: Symmetry
    Year: 2024
  • 📄 Two Inclusive Subfamilies of Bi-Univalent Functions
    Authors: Al-Hawary, T., Amourah, A., Salah, J., Yousef, F.
    Journal: International Journal of Neutrosophic Science
    Year: 2024
  • 📄 Fibonacci Numbers Related to Some Subclasses of Bi-Univalent Functions
    Authors: Amourah, A., Frasin, B.A., Salah, J., Al-Hawary, T.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024
  • 📄 Bi-Univalent Functions Using Bell Distribution Associated With Meixner-Pollaczek Polynomials
    Authors: Alsoboh, A., Amourah, A., Salah, J.
    Journal: International Journal of Mathematics and Computer Science
    Year: 2024
  • 📄Properties of a Linear Operator Involving Lambert Series and Rabotnov Function
    Author: Salah, J.
    Journal: International Journal of Mathematics and Mathematical Sciences
    Year: 2024

 

Megha Varshney | Mathematics | Best Researcher Award

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Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

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Early Academic Pursuits 🎓

Ms. Megha Varshney’s academic journey began with a strong foundation in mathematics and science. She completed her Bachelor of Science from SM Degree College, Chandausi, District Sambhal, U.P., with a focus on Physics, Chemistry, and Mathematics, achieving a percentage of 74.07%. She further pursued her Master of Science in Pure Mathematics at Banasthali Vidyapith, Tonk, Rajasthan, where she graduated with a CGPA of 8.03. Her intermediate studies, which secured her 1st rank in her district and a Gold Medal, and her high school education, demonstrate her consistent academic excellence from an early age.

Professional Endeavors 💼

Ms. Varshney has been engaged in various roles that highlight her versatility and dedication. As a Research Scholar at Dr. APJ Abdul Kalam Technical University, Lucknow, she has made significant strides in her research, focusing on optimization and nature-inspired metaheuristic algorithms. Her research achievements include publishing articles in SCIE journals, contributing book chapters, and presenting at both national and international conferences. Her role as a Guest Faculty Assistant Professor at SM Degree College allowed her to develop and implement innovative teaching methods, enhancing student engagement and learning outcomes.

Contributions and Research Focus 🔬

Ms. Varshney's research contributions are centered around optimization techniques and metaheuristic algorithms. Notable works include her publications on the hybridization of algorithms, structural engineering problems, and advanced optimization methods. Her research has been showcased in various prestigious journals and conferences, reflecting her commitment to advancing the field of computational mathematics and optimization.

Accolades and Recognition 🏅

Her academic excellence has been recognized through several accolades, including a Certificate of Excellence in Academics awarded by the Chief Minister of Uttar Pradesh in 2013 and securing 1st rank in her district's intermediate examination. Additionally, she is a GATE Qualified candidate with a rank of AIR-339 and a score of 544.

Impact and Influence 🌟

Ms. Varshney's impact extends beyond her research through her innovative teaching methods and curriculum development at SM Degree College. Her contributions to the field of optimization and computational mathematics have influenced both academic circles and practical applications in structural engineering and algorithm development.

Legacy and Future Contributions 🔮

Looking ahead, Ms. Varshney is poised to continue her impactful research and teaching career. Her focus on nature-inspired algorithms and optimization techniques positions her as a leading figure in her field. Her dedication to both research and education ensures that her future contributions will likely advance the boundaries of computational mathematics and inspire future scholars and practitioners.

 

Publications

  • 📄Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar
  • 📄Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

 

 

Ramesh Gupta Burela | Engineering | Best Researcher Award

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Prof Dr. Ramesh Gupta Burela | Engineering | Best Researcher Award

National Institute of Technical Teachers' Training and Research | India

Author Profile 

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Early Academic Pursuits 🎓

Dr. Ramesh Gupta Burela embarked on his academic journey with a strong foundation in Civil Engineering, earning a B.Tech from Nagarjuna University in 1998. He further specialized in the field by obtaining an M.Tech in Computer Aided Design of Structures (CADES) from Visveswaraiah Technological University in 2002. His pursuit of knowledge led him to the prestigious Indian Institute of Science (IISc), where he completed his Ph.D. in Aerospace Engineering in 2012. During his Ph.D., he also undertook an internship at Ecole Normale Supérieure (ENS) de Cachan, France, contributing to a CEFIPRA project.

Professional Endeavors 💼

Dr. Gupta's professional career spans over a decade, marked by significant roles in both academia and industry. He began as an Assistant Professor in Mechanical Engineering at Shiv Nadar University (SNU) in 2013 and advanced to Associate Professor by 2019. In 2024, he joined the Civil Engineering department at NITTTR-Bhopal as a Professor. His industry experience includes positions such as Assistant Manager at GKN CoE, Cyient Ltd., and Technical Lead at MSC Software, Symphony Ser. Pvt. Ltd. He has also served as a Guest Faculty at the University of Hyderabad.

Contributions and Research Focus 🔬

Dr. Gupta's research interests are diverse and innovative, encompassing Variational Asymptotic Method (VAM), AI & Machine Learning, nonlinear material models, multifunctional smart structures, and more. He has received numerous grants and project funding for his research, including projects on the development of new materials for sensor improvements, nonlinear multiphysics modeling, and optimization of steering knuckles via AI and Machine Learning.

Accolades and Recognition 🏆

Throughout his career, Dr. Gupta has been recognized for his contributions to science and engineering. His awards include the International Travel Grant from DST (SERB), India, and an International Fellowship from ENS de Cachan, France. He has also been honored with several scholarships and assistantships, reflecting his academic excellence and commitment to research.

Impact and Influence 🌟

Dr. Gupta has significantly impacted the academic and professional communities through his teaching, research, and leadership roles. He has guided numerous Ph.D. and M.Tech students, contributing to the development of future engineers and researchers. His involvement as a journal reviewer and panel member in various conferences and committees highlights his influence and dedication to advancing engineering knowledge.

Legacy and Future Contributions 🌍

Dr. Gupta's legacy is marked by his co-founding of three startups: SYmbosim, MultiFun, and URDHYUTH. These ventures focus on cutting-edge technologies such as multifunctional composites, smart structures, and urban air mobility. His ongoing work aims to bridge the gap between core technologies and emerging fields like AI, Machine Learning, IoT, and Augmented Reality. Dr. Gupta's vision includes establishing a Computer Aided Engineering (CAE) research center to develop smart functional products and structures, contributing to a more efficient and innovative engineering landscape.

 

Publications 📖

📄Non-linear buckling analysis of delaminated hat-stringer panels using variational asymptotic method
Authors: Kumar, A.P. , Méndez, J.P. , Burela, R.G. , Harursampath, D. , Ponnusami, S.A.
Journal: Composite Structures
Year: 2024

 

📄DETAILED DESIGN AND ANALYSIS FOR ADDITIVE MANUFACTURING OF TOPOLOGICALLY OPTIMIZED AND GENERATIVELY DESIGNED TI-6AL-4V HIP JOINT IMPLANT
Authors: Kishor, A. , Burela, R.G. , Gupta, A.
Journal: International Journal for Multiscale Computational Engineering
Year: 2024

 

📄Optical, Thermal, and Mechanical Properties of Scheelite Molybdate and Tungstate Materials Using Atomistic Simulations
Authors: Sistla, Y.S. , Burela, R.G. , Gupta, A. , Tabassum, N.
Journal: Lecture Notes in Mechanical Engineering
Year: 2024

 

📄Baseline Design of Propeller for an eVTOL Aircraft to Achieve Urban Air Mobility
Authors: Faraaz, M. , Faizan, A. , Badarinath, M. , Harursampath, D. , Gupta, R.B.
Journal: IEEE Aerospace Conference Proceedings
Year: 2023

 

📄Snap-through analysis of multistable laminate using the variational asymptotic method
Authors: Phanendra Kumar, A. , Khajamoinuddin, S.M. , Burela, R.G. , Mahesh, V. , Harursampath, D.
Journal: Mechanics Based Design of Structures and Machines
Year: 2023

Saira Naz | Mathematics | Best Researcher Award

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Dr. Saira Naz | Mathematics | Best Researcher Award

Quaid-I-Azam University | Pakistan

Author Profile

Scopus

Early Academic Pursuits

Dr. Saira Naz's academic journey began with a strong foundation in science and mathematics. She completed her Matriculation in 2007 from Quaid Science Academy, Rawalpindi, excelling in Math, Physics, Chemistry, and Biology. She continued her studies at Army Public School & College, Qasim Aviation Base, where she completed her F.Sc. in 2009 with a focus on Math, Statistics, and Computer Science. Her undergraduate studies at Punjab University culminated in a B.Sc. in Mathematics and Statistics in 2011. She further pursued her passion for mathematics at Quaid-i-Azam University, Islamabad, earning an M.Sc. in Mathematics in 2014, an M.Phil. in Applied Mathematics in 2018, and a Ph.D. in Mathematics in 2022.

Professional Endeavors

Dr. Saira Naz has accumulated a wealth of teaching experience in various educational institutions. She currently serves as a faculty member at Air University, Islamabad, and as a visiting faculty at Bahria University. Her previous teaching roles include positions at Islamabad College of Management & Commerce and Spring Field Public School and College in Rawalpindi. Additionally, she holds a B.Ed. from Allama Iqbal Open University, Islamabad, which further complements her teaching credentials.

Contributions and Research Focus

Dr. Naz's research focuses on fluid mechanics, nanofluids, and entropy optimization. Her notable projects include studies on the melting and dissipative effects in entropy-induced Darcy-Forchheimer flow, the significance of nonlinear radiation in entropy-generated flow of ternary-hybrid nanofluids, and the effectiveness of Darcy-Forchheimer and nonlinear mixed convection in stratified Maxwell nanomaterial flow. Her research has been published in high-impact journals such as Case Studies in Thermal Engineering, Ain Shams Engineering Journal, and Numerical Heat Transfer, Part A: Applications.

Accolades and Recognition

Dr. Naz has attended several prestigious conferences, including the 7th and 9th International Conferences on Recent Developments in Fluid Mechanics and the Conference on Emerging Issues of Environmental Degradation, Natural Hazards, and Water Security. Her research publications in well-regarded journals with high impact factors are a testament to her contributions and recognition in the field of applied mathematics and fluid mechanics.

Impact and Influence

Dr. Naz has significantly influenced her students and peers through her dedication to teaching and research. Her ability to convey complex mathematical concepts and her active involvement in cutting-edge research have made her a respected figure in the academic community. Her mentoring skills and commitment to academic excellence have inspired many students to pursue careers in mathematics and engineering.

Legacy and Future Contributions

Dr. Saira Naz's ongoing research and teaching endeavors promise a lasting impact on the field of applied mathematics. Her work on fluid mechanics and nanofluids is poised to contribute to advancements in thermal engineering and material science. As she continues to explore new research avenues and mentor future generations, her legacy will be one of innovation, dedication, and academic excellence.

 

Notable Publication

Entropy optimized radiative flow conveying hybrid nanomaterials(MgO-MoS2/C2H6O2) with melting heat characteristics and Cattaneo-Christov theory: OHAM analysis 2024

Significance of nonlinear radiation in entropy generated flow of ternary-hybrid nanofluids with variable thermal conductivity and viscous dissipation 2024 (1)

Melting and dissipative effects about entropy induced Darcy-Forchheimer flow involving ternary-hybrid nanofluids 2024 (3)

Soret and Dufour impacts in entropy optimized MHD flow by third-grade liquid involving variable thermal characteristics 2024

Numerical modeling and analysis of non-Newtonian nanofluid featuring activation energy 2019 (6)

 

 

Manyu Xiao | Mathematics | Best Researcher Award

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Assoc Prof Dr. Manyu Xiao | Mathematics | Best Researcher Award

Northwestern Polytechnical University | China

Author Profile

Scopus

Early Academic Pursuits

Dr. Manyu Xiao began her academic journey at Three Gorges University in China, where she earned her Bachelor of Science in Mathematics and Applied Mathematics in 2003. She then pursued a Master of Science in Computational Mathematics at Northwestern Polytechnical University (NPU), China, from 2003 to 2006. Her master’s research focused on fast and parallel algorithms for information processing under the guidance of Quanyi Lu. Subsequently, Dr. Xiao completed her Doctorate in Engineering Science from Université de Technologie de Compiègne (UTC) in France in 2010, where she specialized in multidisciplinary optimization with model reduction and parallel computing. Her doctoral advisors were Piotr Breitkopf and Rajan Filomeno Colho.

Professional Endeavors

Dr. Xiao has a rich professional background, marked by significant positions and research projects. Since March 2012, she has been an associate professor in the Department of Applied Mathematics at NPU. Prior to this, she was a post-doctoral fellow at UTC, France, from 2010 to 2011, where she worked on constrained POD model reductions. Her career includes various visiting scholar positions, such as at Université Libre de Bruxelles, Belgium, the University of Alabama in Huntsville, USA, Queen Mary University of London, University of Oxford, University of Cambridge, and University of Helsinki, Finland.

Contributions and Research Focus

Dr. Xiao’s research interests are diverse and impactful, focusing on efficient numerical methods, model reduction, parallel computing, mechanical optimization, and surrogate-based topology optimization. She has led and participated in numerous research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Shaanxi Province. Her projects cover areas such as dynamic multi-fidelity reduction for topology optimization, large-scale stress-constrained topology optimization, and the design of lightweight functional graded core structures for thermal protection systems.

Accolades and Recognition

Dr. Xiao’s contributions have been widely recognized. She received the Best Paper Award at the 6th Australian Conference on Computational Mechanics in 2023, and the third prize for outstanding academic paper by the Shaanxi province in 2022. In 2020, she was honored as an International Rising Star by the International Association for Computational Mechanics. Additionally, she has been recognized multiple times by Northwestern Polytechnical University for her teaching excellence and her role as a thesis supervisor.

Impact and Influence

Dr. Xiao’s work has significantly influenced the field of applied mathematics and computational mechanics. Her research on large-scale structural topology optimization and model reduction has advanced the capabilities of computational methods in engineering. Her numerous publications in high-impact journals and contributions to books underscore her influence. Furthermore, her teaching reforms and MOOC projects at NPU have enhanced the internationalization and quality of mathematics education.

Legacy and Future Contributions

Dr. Xiao’s legacy lies in her pioneering research and dedication to education. Her work continues to inspire advancements in computational mathematics and engineering optimization. Future contributions are anticipated from her ongoing and upcoming research projects, including those on the construction of kinetic models for composite materials and large-scale structural design optimization. Her commitment to developing internationalized training modes for mathematical talents ensures that her influence will extend to future generations of scholars and engineers.

 

Notable Publications

📄 Article: Primal–dual on-the-fly reduced-order modeling for large-scale transient dynamic topology optimization

  • Authors: Xiao, M., Ma, J., Gao, X., Cauvin, L., Villon, P.
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Year: 2024
  • Citations: 0

📄 Article: Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning

  • Authors: Jin, J., Cauvin, L., Raghavan, B., Dutta, S., Xiao, M.
  • Journal: Computational Materials Science
  • Year: 2024
  • Citations: 0

📄 Article: Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling

  • Authors: Xiao, M., Ma, J., Lu, D., Raghavan, B., Zhang, W.
  • Journal: Advanced Modeling and Simulation in Engineering Sciences
  • Year: 2022
  • Citations: 1

📄 Article: A Gaussian process regression-based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin-walled structures

  • Authors: Yang, Y., Yang, Y., Xiao, M., Wan, M., Zhang, W.
  • Journal: International Journal of Mechanical System Dynamics
  • Year: 2022
  • Citations: 7

📄 Article: Accelerating Large-scale Topology Optimization: State-of-the-Art and Challenges

  • Authors: Mukherjee, S., Lu, D., Raghavan, B., Xiao, M., Zhang, W.
  • Journal: Archives of Computational Methods in Engineering
  • Year: 2021
  • Citations: 54

Pooja Rani | Mathematics | Best Researcher Award

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Dr. Pooja Rani | Mathematics | Best Researcher Award

GMSSSS, Ratia | India

Author profile

Scopus

Early Academic Pursuits

Dr. Pooja Rani's academic journey began with a strong foundation in mathematics, culminating in a Ph.D. in Mathematics with a focus on "Mathematical Modeling of an Elastic and Thermoelastic Medium Due to Various Seismic Sources". Her educational qualifications include an M.Sc. in Mathematics, a B.Ed., and qualification for the NET JRF examination. Notably, she was awarded the Roll of Honor for achieving a high position in her graduation.

Professional Endeavors

With five years of teaching experience, Dr. Pooja Rani has established herself as a dedicated educator and researcher. Her professional endeavors have led her to delve into the intricate dynamics of thermoelastic materials, focusing on various theories of thermoelasticity.

Contributions and Research Focus

Dr. Pooja Rani's research revolves around the elastic and thermoelastic properties of materials, aiming to analyze dynamic problems within this domain. Her work encompasses the study of thermoelastic behavior in diverse geometries such as cylinders, disks, spheres, circular plates, and circular tubes. Through her research, she seeks to contribute to a deeper understanding of thermoelastic phenomena and their practical implications.

Accolades and Recognition

Dr. Pooja Rani's dedication and contributions to the field of mathematics have earned her recognition, including the prestigious Roll of Honor for her outstanding performance during her graduation. Additionally, her qualification for the NET JRF examination highlights her academic prowess and potential in research.

Impact and Influence

The research conducted by Dr. Pooja Rani holds significant potential for impact in both academic and practical spheres. By delving into the complex dynamics of thermoelastic materials, her work contributes to advancements in understanding material behavior under various conditions. This understanding has implications for fields such as structural engineering, seismology, and materials science.

Legacy and Future Contributions

Dr. Pooja Rani's legacy is marked by her dedication to advancing the understanding of thermoelasticity through mathematical modeling. Her research not only sheds light on fundamental principles but also lays the groundwork for practical applications in engineering and geophysics. As she continues her academic journey, her innovative contributions are poised to shape the future of research in thermoelastic materials, leaving a lasting impact on the scientific community.

Notable Publications

Thermoelastic stress analysis of a functionally graded annular rotating disc with radially varying properties 2024

Wave analysis in porous thermoelastic plate with microtemperature 2023

One Dimensional Steady Thermal Stresses in a Rotating Thick-walled Sphere made of Functionally Graded Material 2022