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.

Hassan Ramchoun | Mathematics | Best Researcher Award

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Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications

  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025

  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024

  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024

  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024

  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023

Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

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Dr. Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

Jiangsu University | China

Author Profile

Scopus

Orcid

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Early Academic Pursuits

Dr. Seyedeh Azadeh Fallah Mortezanejad began her academic journey with a strong foundation in statistics, completing her undergraduate and postgraduate studies at Guilan University, Iran. Her master’s research on semi-parametric estimation of conditional copula reflected her interest in statistical theory and dependence structures. She advanced her academic training with doctoral research at Ferdowsi University of Mashhad, focusing on applications of entropy in statistical quality control, which laid the groundwork for her later interdisciplinary research.

Professional Endeavors

Following her doctoral studies, Dr. Mortezanejad pursued postdoctoral research at Jiangsu University in China, under the guidance of Professor Ruochen Wang. Supported by the National Natural Science Foundation of China, her work explored advanced applications of statistical inference in engineering systems. Her professional engagements span teaching, collaborative research, and presenting at international conferences, reflecting her role as both a researcher and an academic contributor.

Contributions and Research Focus

Her research lies at the intersection of statistics, data science, and engineering. She has significantly contributed to areas such as time series analysis, dependence data, deep learning, and statistical quality control. Her expertise in copula functions and entropy has enabled novel methods for addressing challenges in multivariate data analysis and control charts. More recently, her work integrates machine learning and physics-informed neural networks for solving complex problems in multivariate time series and image processing.

Accolades and Recognition

Dr. Mortezanejad’s scholarly contributions have been recognized through numerous publications in leading journals, including Entropy, Sankhya B, and Physica A. She has been invited to present her findings at international workshops in Germany, France, Vietnam, and Spain, underscoring her recognition in global research communities. Her role as a reviewer for reputed journals and conferences further reflects her professional standing in the field.

Impact and Influence

Through her interdisciplinary research, Dr. Mortezanejad has bridged the gap between theoretical statistics and practical applications in fields such as healthcare, engineering, and financial modeling. Her contributions to statistical quality control, machine learning applications, and Bayesian inference have influenced both academic discourse and applied research, making her work relevant across diverse scientific domains.

Legacy and Future Contributions

With her strong background in both theoretical and applied statistics, Dr. Mortezanejad is poised to continue advancing research in modern statistical methods, particularly in integrating entropy-based approaches with machine learning. Her future work is expected to focus on enhancing predictive analytics, developing robust statistical tools for big data, and contributing to sustainable innovations in engineering and healthcare.

Publications

Article: Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari
Journal: Entropy
Year: 2025

Article: Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Entropy
Year: 2024

Article: Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Physical Sciences Forum
Year: 2023

Article: Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal/Conference: MaxEnt 2022 (Conference Proceedings)
Year: 2023

Article: Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo
Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
Journal: Reviews on Recent Clinical Trials
Year: 2022

Conclusion

Dr. Seyedeh Azadeh Fallah Mortezanejad’s career reflects a rare blend of statistical rigor, innovative application, and international recognition. Her early commitment to statistical theory, coupled with her interdisciplinary contributions, has positioned her as a rising figure in applied statistics and data science. With her expanding research footprint, she is set to leave a lasting impact on statistical research and its applications in science, technology, and industry.

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

Henryk Żołądek | Mathematics | Best Researcher Award

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Prof. Henryk Żołądek | Mathematics | Best Researcher Award

University of Warsaw | Poland

Author Profile

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🎓 Early Academic Pursuits

Prof. Henryk Żołądek embarked on his mathematical journey at the University of Warsaw, where he completed his undergraduate studies between 1973 and 1978, specializing in Bifurcation Theory. He later pursued doctoral studies at the prestigious Moscow State University, earning a Ph.D. in Statistical Mechanics in 1983. His exceptional academic trajectory continued with a habilitation in Bifurcation Theory in 1987, marking his early distinction in advanced mathematics.

👨‍🏫 Professional Endeavors

His academic career began as an Assistant at the University of Warsaw (1978–1980). After completing his Ph.D., he returned to Warsaw as an Assistant Professor and gained international experience as a Visiting Professor at the University of Arizona in 1988. Prof. Żołądek held multiple professorial roles, including at the Polish Academy of Sciences and a long-standing association with the University of Warsaw (1991–2004). His global engagements also include visits to top institutions like Brown University, Université Paris VI, and Universitat Autònoma de Barcelona.

🔬 Contributions and Research Focus

Prof. Żołądek’s research spans several interconnected mathematical disciplines:

🌀 Bifurcation Theory – specializing in diffeomorphisms and planar systems, exploring complex dynamics and normal form analysis.
📉 Statistical Mechanics – investigating lattice models and spectral properties.
🔧 Singularity Theory – with a focus on Lagrangian submanifolds and geometric analysis.
📈 Differential Equations – tackling major problems including the 16th Hilbert Problem, integration theory, and Abelian integrals.
📐 Algebraic Geometry – working on complex planar algebraic curves and their applications in dynamical systems.

His versatility has contributed to both theoretical advancements and practical mathematical modeling.

🏆 Accolades and Recognition

Though specific awards are not listed, Prof. Żołądek’s international collaborations, long-standing professorships, and high-impact publications underscore his respected status in the global mathematics community. His participation in elite research centers and mathematical forums further signifies his academic prestige.

🌍 Impact and Influence

Prof. Żołądek’s work on topics such as the Jouanolou system, Abhyankar-Moh theorem, and limit cycles in polynomial vector fields has significantly influenced contemporary mathematical thought. His joint work with renowned scholars and institutions has enriched the fields of dynamical systems and algebraic geometry.

He has authored key papers such as:
📝 "Quadratic systems with center and their perturbations" (J. Diff. Equat., 1994)
📝 "The extended monodromy group and Liouvillian first integrals" (J. Dynam. Control Syst., 1997)
📝 "A new topological proof of the Abhyankar-Moh theorem" (Math. Zeitschrift, 2003)
📝 "Limit cycles of three-dimensional polynomial vector fields" (Nonlinearity, 2005)

🌟 Legacy and Future Contributions

Prof. Henryk Żołądek stands as a pillar in the European mathematical landscape, known for bridging bifurcation theory, geometric methods, and differential equations. His work not only addresses foundational questions but also inspires younger mathematicians through teaching, collaboration, and global engagement. His legacy is deeply woven into both Polish and international mathematical progress. With continued research and mentoring, his influence is sure to extend into future generations of mathematical discovery.

Publications

📝 Invariants of group representations, dimension/degree duality and normal forms of vector fields

Authors: Ewa Stróżyna, Henryk Żołądek

Journal: Bulletin des Sciences Mathématiques

Year: 2025 (Available online: 18 June 2025)

Eduard Rohan | Mathematics | Best Researcher Award

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Prof. Eduard Rohan | Mathematics | Best Researcher Award

University of West Bohemia in Pilsen | Czech Republic

Author Profile

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👨‍🏫 Early Academic Pursuits

Prof. Eduard Rohan’s academic journey is deeply rooted in the University of West Bohemia (UWB), where he earned his MSc. in Mechanics in 1994. He continued to excel academically, earning his Ph.D. in Mechanics in 1998, with a dissertation focused on shape optimization of elastoplastic bodies—a subject that would become foundational to his future research. His exceptional contributions culminatedin the prestigious Doctor of Science (DSc.) degree in 2012, awarded by the Czech Academy of Sciences, marking him as a national leader in theoretical and applied mechanics.

🧪 Professional Endeavors

Prof. Rohan has served the Department of Mechanics at UWB-Faculty of Applied Sciences in all academic capacities—from Assistant Professor (1997) to Full Professor (since 2012). He also played vital roles in pioneering institutes like the Center of Applied Mathematics, New Technologies Research Center, and currently at the NTIS Centre of Excellence. As a dedicated educator, he lectures on Continuum Mechanics, Biomechanics, and Structural Optimization, and has supervised multiple doctoral candidates to successful completion.

🧬 Contributions and Research Focus

Prof. Rohan is an authority in continuum mechanics, with specialized focus on:

🔹 Wave propagation in heterogeneous and porous structures
🔹 Multiscale and homogenization methods
🔹 Acoustic-fluid interactions in porous media
🔹 Biomechanics and soft tissue modeling
🔹 Structural and topology optimization using finite element methods

His interdisciplinary approach integrates applied mathematics, computational mechanics, and physics of materials, driving innovation in the modeling of complex systems like flexoelectric structures, metamaterials, and biomechanical tissues.

🏆 Accolades and Recognition

Prof. Rohan’s outstanding scholarship has been recognized multiple times:

🥇 Prof. Babuška Prize (1997) for his dissertation work
🏅 Prof. Čihák and Prof. Valenta Award (2001) for soft tissue modeling
🎖️ Honorable Mention from the Rector of UWB (2021) for lifetime scientific achievement

He is also an elected member of the Engineering Academy of the Czech Republic and serves on prestigious academic councils at Charles University and UWB.

🌍 Impact and Influence

Prof. Rohan’s influence extends far beyond Czech borders. Through long-standing international collaborations, including with institutions in France, Germany, and the UK, he has contributed to EU-funded research on smart systems, porous acoustics, and multiscale materials. His ability to bridge theoretical modeling with real-world engineering problems has made him a reference in multiphysics and porous media mechanics. His editorial roles for top journals such as Applications of Mathematics and Archive of Applied Mechanics, along with peer reviews for numerous high-impact publications, reflect his standing as a respected voice in his field.

📚 Legacy and Future Contributions

With over 230 publications, including 59 WoS-indexed journal papers, 6 book chapters, and an H-index of 18, Prof. Rohan’s academic legacy is well-established. His recent projects on fluid-acoustic suspensions, nonlinear porous dynamics, and energy-harvesting flexoelectric structures illustrate his forward-looking approach to research. As principal investigator of several national and bilateral grants, he is at the forefront of exploring how multiscale modeling can optimize smart materials and dynamic structures, contributing not only to theoretical advancement but also to technological application in biomedicine, civil engineering, and energy systems.

Publications

📄 Homogenization of the acoustic streaming in periodic rigid porous structures
Authors: Eduard Rohan, Fanny Moravcová
Journal: Journal of Sound and Vibration
Year: 2025 (Available online: 17 June 2025)

📄 Multi-functional periodically heterogeneous structures for energy harvesting and vibration attenuation—effects of piezoelectricity and shunting circuits
Authors: Eduard Rohan, [co-authors not specified]
Journal: Smart Materials and Structures
Year: 2024

📄 Homogenized model of peristaltic deformation driven flows in piezoelectric porous media
Authors: Eduard Rohan, [co-authors not specified]
Journal: Computers and Structures
Year: 2024

📄 Homogenization of the acoustic transmission on periodically perforated plates interacting with potential mean flow
Authors: Eduard Rohan, [co-authors not specified]
Journal: Journal of Computational and Applied Mathematics
Year: 2024

Muthukumar P | Mathematics | Best Researcher Award

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Dr. Muthukumar P | Mathematics | Best Researcher Award

Indian Institute of Technology Kanpur | India

Author Profile

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🎓 Early Academic Pursuits

Dr. Muthukumar's academic journey began with a B.Sc. in Mathematics from Arulmigu Palaniandavar College under Madurai Kamaraj University, where he graduated with distinction and earned multiple academic prizes. He further pursued M.Sc. in Mathematics at IIT Madras, achieving a stellar CGPA of 8.95. He undertook doctoral coursework at IIT Madras, followed by a Ph.D. in Mathematics from the Indian Statistical Institute, Chennai, under the mentorship of renowned mathematician Prof. S. Ponnusamy. His Ph.D. thesis explored operator theory on discrete Hardy spaces and homogeneous trees—an area both rich in theory and full of analytical depth.

👨‍🏫 Professional Endeavors

Currently, Dr. Muthukumar serves as an Assistant Professor at IIT Kanpur (since February 2022), where he teaches advanced courses in mathematical analysis, complex functions, operator theory, and differential equations. His past roles include:

  • ➤ NBHM Postdoctoral Fellow at ISI Bangalore (2019–2022)

  • ➤ Visiting Researcher at CRM, Spain (2019)

  • ➤ Visiting Professor at National Central University, Taiwan (2023)

He has played key teaching and tutorial roles for undergraduate and postgraduate mathematics programs, shaping the minds of India’s next generation of researchers.

📚 Contributions and Research Focus

Dr. Muthukumar's research spans composition operators, Beurling-type invariant subspaces, Hardy spaces on rooted trees, and spectral theory of operators. His major contributions include:

  • ➤ Developing structural theories of operators on discrete function spaces

  • ➤ Advancing the understanding of operator dynamics on complex and analytic function spaces

  • ➤ Pioneering studies on composition operators on rooted trees and subalgebras of bounded analytic functions

He has delivered talks and contributed papers to prestigious international workshops, including CRM Barcelona and NCU Taiwan.

✍️ Selected Publications

Dr. Muthukumar has authored numerous high-impact journal articles in:

  • ➤ Journal of Mathematical Analysis and Applications (2025)

  • ➤ Canadian Mathematical Bulletin (2023)

  • ➤ Mediterranean Journal of Mathematics (2023)

  • ➤ Lobachevskii Journal of Mathematics (2022)

  • ➤ Journal of Operator Theory (2021)

  • ➤ Monatshefte für Mathematik (2020)

  • ➤ Integral Equations and Operator Theory (2018)

  • ➤ Bulletin of the Malaysian Mathematical Sciences Society (2017)

His research has continuously enriched the mathematical community with novel insights and elegant proofs.

🏆 Accolades and Recognition

Dr. Muthukumar's academic excellence has been honored through several prestigious awards:

  • 🏅 P.K. Jain Award by the Indian Mathematical Society (2021)

  • 🌍 CIMPA-CRM Laureate (2019)

  • 🧠 NBHM Postdoctoral Fellowship (2019)

  • 🏆 Shyama Prasad Mukherjee Fellowship by CSIR (2012)

  • 🏅 Prof. L.K. Chetty Memorial Prize & Proficiency Prize from Madurai Kamaraj University (2010)

He is also a life member of both the Ramanujan Mathematical Society and the Indian Mathematical Society.

🌐 Impact and Influence

Beyond publications and lectures, Dr. Muthukumar is an active peer reviewer for leading international journals, including:

  • Mediterranean Journal of Mathematics

  • Indian Journal of Pure and Applied Mathematics

  • Revista RSME

  • Journal of Operator Theory

  • Mathematical Reviews (AMS)

His participation in Teacher Enrichment Workshops and delivery of tutorials on univalent functions and geometric properties demonstrates his commitment to mathematical education and outreach.

🌱 Legacy and Future Contributions

Dr. Muthukumar P represents the rare blend of deep theoretical insight, pedagogical dedication, and global scholarly impact. As he continues to expand the frontiers of operator theory and functional analysis, he is shaping a legacy of intellectual rigor and inspiration for future mathematicians in India and worldwide.

Publications

📄 Automorphisms of Subalgebras of Bounded Analytic Functions

Authors: Kanha Behera, Rahul Maurya, P. Muthukumar
Journal: Journal of Mathematical Analysis and Applications
Year: 2025 (June)

📄 Weighted Composition Operators Between Weighted Hardy Spaces on Rooted Trees

Authors: P. Muthukumar, Ajay K. Sharma, Vivek Kumar
Journal: Mediterranean Journal of Mathematics
Year: 2023

📄 Multiplication Operators Between Discrete Hardy Spaces on Rooted Trees

Authors: P. Muthukumar, P. Shankar
Journal: Lobachevskii Journal of Mathematics
Year: 2023

📄 Model Spaces Invariant Under Composition Operators

Authors: P. Muthukumar, Jaydeb Sarkar
Journal: Canadian Mathematical Bulletin
Year: 2022

📄 Beurling Type Invariant Subspaces of Composition Operators

Authors: Snehasish Bose, P. Muthukumar, Jaydeb Sarkar
Journal: Journal of Operator Theory
Year: 2021

Qiuping Li | Mathematics | Best Researcher Award

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Dr. Qiuping Li | Mathematics | Best Researcher Award

Gansu University of Political Science and Law | China

Author Profile

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Early Academic Pursuits 🎓

Dr. Qiuping Li embarked on his academic journey with a Bachelor of Science in Information and Computational Science from Jilin University, where he developed a strong foundation in mathematical modeling and computational analysis. His passion for theoretical mathematics led him to pursue a Ph.D. in Applied Mathematics at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in Beijing. During this time, he honed his expertise in graph theory, delving into its complex structures and applications.

Professional Endeavors 🏛️

As a dedicated academic, Dr. Li has held key positions in prestigious institutions. He served as a lecturer at the School of Computer Science and Technology at Hengyang Normal University from 2018 to 2024, where he mentored aspiring mathematicians and contributed significantly to research in graph theory and cryptography. In 2025, he transitioned to the School of Cyber Security at Gansu University of Political Science and Law, focusing on integrating graph theory with network security, reinforcing his role as a leading researcher in these domains.

Contributions and Research Focus 🔬

Dr. Li's research spans several critical areas, including graph theory, network security, and cryptographic algorithms. His work on graph energy, order-energetic graphs, and lightweight cryptography has provided valuable insights into mathematical structures and their real-world applications. His contributions to the field are reflected in multiple SCI-indexed publications, including his studies on infinite classes of L-borderenergetic graphs and graph energy changes due to edge deletion. His research has enhanced the understanding of structural properties in computational chemistry and network systems.

Accolades and Recognition 🏆

Dr. Li’s groundbreaking research has earned him recognition in the academic community. His publications in prestigious journals such as MATCH Communications in Mathematical and Computer Chemistry have been widely cited and referenced by fellow researchers. His expertise in cryptography has also led to the development of novel block cipher algorithms, with several patents granted for innovative encryption methodologies. His contributions to lightweight block ciphers have positioned him as a thought leader in secure communication technologies.

Impact and Influence 🌍

Beyond academia, Dr. Li’s research has profound implications for cybersecurity and mathematical modeling. His advancements in graph theory contribute to network security by optimizing encryption methods, ensuring more robust data protection. His patented cryptographic algorithms offer practical solutions for secure digital communication, addressing modern challenges in information security. Through his teachings and mentorship, he continues to inspire the next generation of researchers, fostering a new wave of innovation in applied mathematics and cryptography.

Legacy and Future Contributions 🔮

Dr. Qiuping Li’s legacy is defined by his relentless pursuit of knowledge and his commitment to advancing mathematical research. His work in graph theory and cryptography will continue to influence academic discourse and practical applications in cybersecurity. As he progresses in his career, he is poised to further bridge the gap between theoretical mathematics and real-world problem-solving, paving the way for new breakthroughs in secure systems and network analysis. His dedication to research and education ensures that his contributions will leave a lasting imprint on both academia and industry.

Publications

  • 📄 A New Family of Multipartition Graph Operations and Its Applications in Constructing Several Special Graphs

    • Authors: Qiuping Li, Liangwen Tang, Qingyun Liu, Mugang Lin

    • Journal: Symmetry

    • Year: 2025

  • 📄 Infinite Numbers of Infinite Classes of L-Borderenergetic Graphs

    • Authors: Qiuping Li, Liangwen Tang

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2023

  • 📄 Construction of Order-Energetic Graphs

    • Authors: Qiuping Li, Liangwen Tang, Qingyun Liu, Mugang Lin

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2024

  • 📄 Graph Energy Change on Edge Deletion

    • Authors: Liangwen Tang, Mugang Lin, Qiuping Li

    • Journal: MATCH Communications in Mathematical and Computer Chemistry

    • Year: 2023

  • 📄 Lightweight Block Ciphers

    • Authors: Li Lang, Li Qiuping

    • Publisher: Huazhong University of Science and Technology Press

    • Year: 2020

 

Guanghui Lu | Mathematics | Best Researcher Award

Published on by Book of Award

Prof. Guanghui Lu | Mathematics | Best Researcher Award

Northwest Normal University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Guanghui Lu embarked on his academic journey with a Bachelor’s degree in Mathematics and Applied Mathematics from Lanzhou City University (2008-2012). He then pursued a Master’s degree in Fundamental Mathematics at Xinjiang University (2012-2015), refining his expertise in mathematical theories. His academic pursuits culminated in a Ph.D. in Applied Mathematics from Northwest Normal University (2015-2018), where he delved into advanced mathematical models and computational techniques.

Professional Endeavors 🏛️

Since joining Northwest Normal University, Dr. Lu has demonstrated unwavering commitment to research and teaching. He began as a lecturer in the School of Mathematics and Statistics (2018-2020) and later became an Associate Professor (2021-present). His role involves mentoring students, conducting groundbreaking research, and contributing to the academic community through extensive collaborations.

Contributions and Research Focus 🔬

Dr. Lu’s research primarily revolves around mathematical analysis, operator theory, and Morrey spaces. He has significantly contributed to the study of integral operators, commutators, and fractional calculus on various mathematical structures. His work has explored bilinear singular integral operators, Calderón-Zygmund operators, and fractional Morrey spaces, which are crucial in modern mathematical analysis and its applications in physics and engineering.

His ongoing research projects include:
📌 National Natural Science Foundation of China (NSFC) – Youth Science Fund Project (2023-2025): Investigating the properties of Littlewood-Paley operators in maximal function spaces (30 million CNY).
📌 NSFC Regional Science Fund Project (2024-2027): Studying core operators on nonhomogeneous metric measure spaces (27 million CNY).

Accolades and Recognition 🏆

Dr. Lu has published numerous influential papers in prestigious mathematical journals, including:
✅ Bulletin des Sciences Mathématiques (2023, 2025)
✅ Mathematische Nachrichten (2024)
✅ Annals of Functional Analysis (2024)
✅ Nagoya Mathematical Journal (2022)

As the sole first author and corresponding author in all his papers, he has cemented his position as a leading researcher in his field.

Impact and Influence 🌍

Dr. Lu’s research has significantly influenced mathematical analysis, particularly in operator theory and function spaces. His findings contribute to solving complex problems in applied mathematics, with implications in physics, data analysis, and computational sciences. His mentorship of students and collaboration with fellow researchers further amplifies his academic impact.

Legacy and Future Contributions 🚀

With ongoing research projects and a steady stream of high-impact publications, Dr. Guanghui Lu is poised to make lasting contributions to mathematical sciences. His future work will likely explore deeper aspects of functional analysis and integral operators, reinforcing the role of mathematics in scientific advancements. Dr. Lu’s dedication to research, teaching, and knowledge dissemination ensures his continued prominence in the field of mathematics.

Publications

📄 Bilinear singular integral operators with generalized kernels and their commutators on product of (grand) generalized fractional (weighted) Morrey spaces
Author(s): G. Lu (Guanghui Lu), M. Wang (Miaomiao Wang), S. Tao (Shuangping Tao), R. Liu (Ronghui Liu)
Journal: Bulletin des Sciences Mathématiques
Year: 2025

📄 Bilinear Θ-type generalized fractional integral and its commutator on product of generalized fractional weighted Morrey spaces
Author(s): G. Lu (Guanghui Lu), Z. Zhang (Zheng Zhang)
Journal: Bulletin des Sciences Mathématiques
Year: 2024

📄 Θ-type fractional Marcinkiewicz integral operators and their commutators on some spaces over RD-spaces
 Author(s): G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024

📄 Fractional type Marcinkiewicz integral and its commutator on grand variable Herz-Morrey spaces
 Author(s): X. Chen (Xijuan Chen), G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024

Qi Han | Mathematics | Best Researcher Award

Published on by Book of Award

Mr. Qi Han | Mathematics | Best Researcher Award

Northwest Normal University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🏫🔬

Mr. Qi Han has dedicated his academic career to the study of quantum stochastic analysis and its applications. His early research laid the foundation for groundbreaking contributions in quantum information science, probability theory, and financial modeling.

Professional Endeavors 💼🧠

As a committed researcher, Mr. Qi Han has pioneered the development of local quantum entropy, local quantum conditional entropy, local quantum mutual entropy, and local quantum joint entropy. His work extends to the exploration of quantum mutual information in multi-body quantum systems, significantly enriching the field of quantum probability. Mr. Han has also applied quantum probability theories to quantum random walks on various graphs, including cyclic graphs, integer lattices, 2D lattices, and hypercubes. His research delves into hitting time, mixing time, and multi-particle quantum walks on graphene graphs and 2D lattices, advancing quantum computing methodologies. Additionally, he has contributed to quantum finance, innovatively integrating quantum random walk theories into the binomial model for option pricing. His novel approach facilitates more precise modeling of asset price dynamics, leading to the quantization of continuous-time stochastic processes. His research has introduced a new method for pricing European options, transforming the problem into one of quantum amplitude estimation within continuous-time quantum stochastic processes, thereby improving the accuracy of option pricing.

Contributions and Research Focus 🔍🧑‍🏫

Mr. Qi Han has made significant contributions to academia, with over 50 research publications in esteemed journals. As a first author and corresponding author, he has published over 30 papers in leading SCI journals, including:

  • Journal of Statistical Physics
  • Reviews in Mathematical Physics
  • EPL
  • Physics Letters A
  • Quantum Information Processing
  • Physica Scripta

He currently leads a National Natural Science Foundation project and participates in another national-level project. Additionally, he is the principal investigator for a Provincial Natural Science Foundation project, a Provincial Science and Technology Association Talent Program project, and an Education Department Innovation project. Beyond research, Mr. Han has authored three independent textbooks, further cementing his role as a key contributor to quantum studies.

Accolades and Recognition 🏆✨

Mr. Qi Han is widely respected for his expertise and scholarly contributions. He serves as a reviewer for Mathematical Reviews and is an esteemed peer reviewer for multiple international journals, including:

  • Computational Economics
  • Intelligent Computing
  • New Journal of Physics
  • Acta Mathematica Sinica
  • Journal of Mathematical Physics
  • Acta Applicandae Mathematicae

Impact and Influence 🌍🔗

His extensive research on quantum probability and quantum finance has bridged the gap between theoretical advancements and real-world applications. His methodologies in quantum computing, financial modeling, and quantum information processing have paved the way for further interdisciplinary research.

Legacy and Future Contributions 🚀📈

With a firm foothold in quantum stochastic processes and finance, Mr. Qi Han continues to explore new frontiers in quantum computing, quantum finance, and information theory. His work is expected to influence future research in quantum technology applications across multiple disciplines. His textbooks and research publications will serve as invaluable resources for upcoming scholars and professionals in the field. Mr. Han’s dedication to quantum sciences ensures that his legacy will be a cornerstone in the development of next-generation computational models and financial analysis tools.

Publications

  • 📄Quantum capacity of quantum channels with localization characteristics

    • Journal: Chinese Journal of Physics
    • Year: 2025
    • Authors: Qi Han, Shuai Wang, Lijie Gou, Rong Zhang

  • 📄Quantum walk option pricing model based on binary tree

    • Journal: Physica A: Statistical Mechanics and its Applications
    • Year: 2025
    • Authors: Qi Han, Xuan Song

  • 📄Dynamics of quantum coherence and correlations in a transverse Ising spin chain environment

    • Journal: International Journal of Modern Physics B
    • Year: 2024
    • Authors: Qi Han, Huan Wang, Shuai Wang, Lijie Gou, Rong Zhang

  • 📄Quantum state transfer between cells and binary tree model

    • Journal: Physics Letters A
    • Year: 2024
    • Authors: Qi Han, Ning Bai

  • 📄Quantum conditional entropy and classical-quantum conditional entropy with localization characteristics

    • Journal: Physica Scripta
    • Year: 2024
    • Authors: Qi Han, Shuai Wang, Lijie Gou, Rong Zhang