Behzad Nemati Saray | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Behzad Nemati Saray | Mathematics | Best Researcher Award

Institute for Advanced Studies in Basic Sciences (IASBS) | Iran

Assoc. Prof. Dr. Behzad Nemati Saray is a distinguished mathematician whose research spans numerical analysis, applied mathematics, and computational methods. With an impressive record of 840 citations, h-index of 17, and i10-index of 22, his work demonstrates significant academic influence, particularly in developing efficient algorithms and multiwavelet-based methods for solving differential and integro-differential equations. He has published over 30 refereed journal papers and numerous conference articles that address complex mathematical problems, including fractional equations, Burgers equations, and Sturm–Liouville systems. As a reviewer for MathSciNet (AMS) and an active contributor to international mathematical conferences, he has earned recognition for his leadership roles, such as Director-in-Charge of the Seasonal School in Mathematics at IASBS and Executive Board member in academic seminars. His scholarly excellence was acknowledged when he was named Best Researcher of the Year (2023) at the Institute for Advanced Studies in Basic Sciences (IASBS). Dr. Saray’s contributions to the fields of computational mathematics and applied analysis continue to advance numerical modeling, multiscale methods, and spectral techniques, making his research a cornerstone for future developments in applied and computational mathematics. His sustained impact reflects a deep commitment to innovation and precision in mathematical sciences.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

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. Multidisciplinary Digital Publishing Institute.

Shi, L., Nemati Saray, B., & Soleymani, F. (2024). Sparse wavelet Galerkin method: Application for fractional Pantograph problem. Journal of Computational and Applied Mathematics, 116081.

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. Multidisciplinary Digital Publishing Institute.

Ranjbari, S., Baghmisheh, M., Jahangiri Rad, M., & Nemati Saray, B. (2024). On the wavelet Galerkin method for solving the fractional Fredholm integro-differential equations. Computational Methods for Differential Equations.

Tarbiyati, H., & Nemati Saray, B. (2023). Weight initialization algorithm for physics-informed neural networks using finite differences. Engineering with Computers.

Afarideh, A., Dastmalchi Saei, F., & Nemati Saray, B. (2023). Eigenvalue problem with fractional differential operator: Chebyshev cardinal spectral method. Journal of Mathematical Modeling.

Shahriari, M., Nemati Saray, B., Mohammadalipour, B., & Saeidian, S. (2023). Pseudospectral method for solving the fractional one-dimensional Dirac operator using Chebyshev cardinal functions. Physica Scripta.

Pourfattah, E., Jahangiri Rad, M., & Nemati Saray, B. (2023). An efficient algorithm based on the pseudospectral method for solving Abel's integral equation using Hermite cubic spline scaling bases. Applied Numerical Mathematics.

Nemati Saray, B. (2022). On a multiwavelet spectral element method for integral equation of a generalized Cauchy problem. BIT Numerical Mathematics.

Nemati Saray, B. (2021). Pseudospectral method for solving fractional Sturm-Liouville problem using Chebyshev cardinal functions. Physica Scripta.

Nemati Saray, B. (2021). Abel’s integral operator: Sparse representation based on multiwavelets. BIT Numerical Mathematics.

Nemati Saray, B. (2021). On the sparse multiscale representation of 2-D Burgers equations by an efficient algorithm based on multiwavelets. Numerical Methods for Partial Differential Equations.

Nemati Saray, B. (2020). On the sparse multi-scale solution of the delay differential equations by an efficient algorithm. Applied Mathematics and Computation.

Nemati Saray, B. (2020). Reconstruction of the Sturm-Liouville differential operators with discontinuity conditions and a constant delay. Indian Journal of Pure and Applied Mathematics.

Nemati Saray, B. (2020). Heat and mass transfer investigation of MHD Eyring–Powell flow in a stretching channel with chemical reactions. Physica A: Statistical Mechanics and its Applications.

Nemati Saray, B. (2020). Sparse multiscale representation of Galerkin method for solving linear-mixed Volterra-Fredholm integral equations. Mathematical Methods in the Applied Sciences.

Muhammad Tahir | Mathematics | Young Scientist Award

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Dr. Muhammad Tahir | Mathematics | Young Scientist Award

Gomal University | Pakistan

Dr. Muhammad Tahir is an emerging researcher and academic in the field of applied mathematics, with expertise spanning numerical analysis, fuzzy logic, artificial intelligence, and decision-making systems. He has served as a Lecturer in Mathematics at Beacon Light College, Pakistan, and as a Teaching Assistant at the Islamia University of Bahawalpur, where he contributed to curriculum development and quality enhancement initiatives. Dr. Tahir holds a Master of Science in Mathematics from the Islamia University of Bahawalpur, where his thesis focused on the “Numerical Study of Deformation of Bubbles Using Phase-Field Models with Decoupling Technique.” His research portfolio includes several high-impact publications in reputed journals such as Applied Soft Computing, European Journal of Pure and Applied Mathematics, and Engineering Applications of Artificial Intelligence. His studies cover topics like fuzzy set theory, cryptographic security, cyber risk mitigation, environmental sustainability, and multi-criteria decision-making. Dr. Tahir’s recent works emphasize hybrid intelligence frameworks, machine learning-integrated decision systems, and quantum-resistant cryptography. He has presented his research at international conferences in Turkey, demonstrating his commitment to interdisciplinary collaboration and computational innovation. His scholarly contributions continue to advance soft computing, mathematical modeling, and intelligent decision-making for industrial and environmental applications.

Profiles : Scopus | Orcid

Featured Publications

Kamran, M., Zhang, Q., Pamucar, D., Tahir, M., & Simic, V. (2025). Enhancing confidence level in decision-making frameworks using Fermatean fuzzy rough sets: Application in Industry 4.0. Applied Soft Computing.

Tahir, M., Kfueit, K., Rasheed, M., Hanan, A., & Shahid, M. I. (2025, October 4). Pythagorean soft sets and hypersoft sets: A comprehensive framework for advanced uncertainty modeling in decision making. Spectrum of Decision Making and Applications.

Gwo Dong Lin | Mathematics | Excellence in Research Award

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Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Juan Chen | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Juan Chen | Mathematics | Best Researcher Award

Wuhan University of Science and Technology | China

Assoc. Prof. Dr. Juan Chen is a distinguished scholar in computational mathematics and complex network dynamics, currently serving at the College of Science, Wuhan University of Science and Technology. With a Ph.D. from Wuhan University, Dr. Chen has made significant contributions to nonlinear systems, synchronization, and complex network theory. Her prolific academic record includes 33 research documents, 432 citations, and an h-index of 13, reflecting her impact in the field. Dr. Chen’s works have appeared in leading journals such as IEEE Transactions on Network Science and Engineering, Chaos, Solitons and Fractals, and Expert Systems with Applications. She has authored influential books, including Synchronization of Complex Dynamical Networks, and contributed chapters to Springer handbooks. As a principal investigator and key collaborator on multiple National Natural Science Foundation of China projects, her research bridges mathematical theory and applied network science. Dr. Chen’s focus on synchronization, control, and robustness of complex networks highlights her pivotal role in advancing interdisciplinary computational research. Her dedication to exploring network behavior, information processing, and system dynamics positions her as an influential figure in contemporary applied mathematics and systems engineering.

Profiles : Scopus | Orcid

Featured Publications

Yin, L., Chen, J., Gao, F., & Wu, X. (2025). Coevolution of opinion and consumption behavior under a two-layer network framework. Physica A: Statistical Mechanics and its Applications, 680, 131020.

Yu, X., Tu, L., Chai, L., Wang, X., & Chen, J. (2024). Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm. Expert Systems with Applications, 235, 121229.

Chai, L., Tu, L., Yu, X., Wang, X., & Chen, J. (2023). Link prediction and its optimization based on low-rank representation of network structures. Expert Systems with Applications, 219, 119680.

Chai, L., Tu, L., Wang, X., & Chen, J. (2022). Network-energy-based predictability and link-corrected prediction in complex networks. Expert Systems with Applications, 207, 118005.

Shen, H., Tu, L., Guo, Y., & Chen, J. (2022). The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network. Chaos, Solitons and Fractals, 165, 112801.

Chen, J., Li, X., Wu, X., & Shen, G. (2022). Prescribed-time synchronization of complex dynamical networks with and without time-varying delays. IEEE Transactions on Network Science and Engineering, 9, 4017–4027.

Zhang, P., Chen, J., Tu, L., & Yin, L. (2022). Layout evaluation of new energy vehicle charging stations: A perspective using the complex network robustness theory. World Electric Vehicle Journal, 13, 127.

Zhou, J., Chen, J., & Lu, J. (2017). On applicability of auxiliary system approach to detect generalized synchronization in complex networks. IEEE Transactions on Automatic Control, 62(7), 3468–3473.

Chen, J., Lu, J., & Zhou, J. (2013). Topology identification of complex networks from noisy time series using ROC curve analysis. Nonlinear Dynamics, 74, 1–8.

Zhang, Q., Chen, J., & Wan, L. (2013). Impulsive generalized function synchronization of complex dynamical networks. Physics Letters A, 377, 2754–2760.

Chen, J., Lu, J., Lu, X., Wu, X., & Chen, G. (2013). Spectral coarse graining of complex clustered networks. Communications in Nonlinear Science and Numerical Simulation, 18, 3036–3045.