Shao-Wen Yao | Applied Mathematics | Research Excellence Award

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Prof. Dr. Shao-Wen Yao | Applied Mathematics | Research Excellence Award

Professor | Henan Polytechnic University | China

Prof. Dr. Shao-Wen Yao is a mathematician at Henan Polytechnic University, China, whose research focuses on applied and computational mathematics, particularly nonlinear dynamical systems and fractional differential equations. His work addresses complex phenomena in epidemic modeling, eco-epidemiological prey–predator systems, chaotic dynamics, and diffusion processes. He is known for developing analytical and semi-analytical methods to study stability, qualitative behavior, and numerical simulation of nonlinear models. His research contributes to both theoretical mathematical analysis and real-world applications in science and engineering.

Citation Metrics (Scopus)

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Featured Publications

John Paulo Serwelas | Applied Mathematics | Mathematical Engineering Excellence Award

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Prof. John Paulo Serwelas | Applied Mathematics | Mathematical Engineering Excellence Award

Author at Mapua University | Philippines

Prof. John Paulo Serwelas is a faculty member at Mapúa University, Philippines, whose research focuses on structural and materials engineering, particularly the performance of reinforced concrete structures under corrosion effects. His work integrates experimental investigation and analytical modeling to evaluate bonding strength and durability in corroded reinforced concrete using electrochemical measurement techniques such as half-cell potential analysis. Through his research, he contributes to improving structural safety, durability assessment, and sustainable infrastructure design in civil engineering.

Featured Publication

Mustapha Bouallala | Numerical Analysis | Numerical Analysis Research Award

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Prof. Mustapha Bouallala | Numerical Analysis | Numerical Analysis Research Award

Mustapha Bouallala | Cadi Ayyad University | Morocco

Prof. Mustapha Bouallala, from the Polydisciplinary Faculty at Cadi Ayyad University in Safi, Morocco, specializes in applied mathematics with a focus on variational and hemivariational inequalities, contact mechanics, thermo-viscoelasticity, and fractional‐order differential models. His work emphasizes the mathematical analysis, modeling, and numerical simulation of complex physical systems governed by non-smooth dynamics, memory effects, and time-fractional derivatives. He contributes to the development of analytical frameworks for contact problems involving viscoelastic materials, locking materials, and thermo-mechanical interactions. Through rigorous mathematical modeling and approximation techniques, his research advances the understanding of nonlinear evolutionary problems and supports applications in engineering mechanics, material behavior, and thermal–structural interaction systems.

Profiles: Scopus | Orcid 

Featured Publications

Bouallala, M., Essoufi, E.-H., & Ouafik, Y. (2026). Modeling and simulation of time-fractional derivative contact problem in thermo-viscoelasticity. Rendiconti del Circolo Matematico di Palermo Series 2. https://doi.org/10.1007/s12215-025-01318-1
Year: 2026

Ouaanabi, A., Alaoui, M., Bouallala, M., & Essoufi, E.-H. (2025). Continuous dependence result for a class of evolutionary variational-hemivariational inequalities with application to a dynamic thermo-viscoelastic contact problem. Acta Applicandae Mathematicae. https://doi.org/10.1007/s10440-025-00707-z
Year: 2025

Bouallala, M., Bourichi, S., Essoufi, E. H., & Rahnaoui, H. (2025). Approximation of solution for unilateral contact problem with locking materials. Mathematical Methods in the Applied Sciences. https://doi.org/10.1002/mma.70131
Year: 2025

Bouallala, M., Ouafik, Y., & Bendarag, A. (2025). Analysis of a thermo-viscoelastic contact problem with normal damped response, unilateral constraint and memory term. SeMA Journal. https://doi.org/10.1007/s40324-025-00418-3
Year: 2025

Aharrouch, B., & Bouallala, M. (2025). Convergence analysis of Kantorovich-type operators in variable exponent Sobolev spaces. Georgian Mathematical Journal. https://doi.org/10.1515/gmj-2025-2089
Year: 2025

Xichang Wang | Mathematical Engineering | Research Excellence Award

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Prof. Xichang Wang | Mathematical Engineering | Research Excellence Award

Director | China Aeronautical Manufacturing Technology Institute | China

Prof. Xichang Wang specializes in welding engineering, metal material standards, and aerospace manufacturing processes. His research focuses on structural modeling of welding process specifications, thermal bonding behavior of titanium alloys, and the development of metal material standards within China’s evolving military–civilian integration framework. He has contributed to key studies on electron beam welding (EBW), thermal self-compressing bonding mechanisms, and material property characterization for aviation and submersible applications. His work integrates materials science, welding technology, and standards engineering, supporting the advancement of high-performance manufacturing in aerospace and defense industries.

Profiles: Scopus | Orcid

Featured Publications

  • Wang, X., Li, G., Zeng, Y., Wang, X., Lyu, X., & Cao, Y. (2025). Research on the structural model of welding process specifications for aviation products based on trade-off design standards. Standards, 5(4), Article 0031. https://doi.org/10.3390/standards5040031
    Year: 2025

  • Wang, X.-C., Wu, Q.-Y., Xu, M., Qi, D.-X., Lu, J., & Teng, C.-Y. (2019). A brief analysis on the development of metal material standards in China under the background of military-civilian integration. Metallurgical Analysis, (Yejin Fenxi), Article 010558. https://doi.org/10.13228/j.boyuan.issn1000-7571.010558
    Year: 2019

  • Deng, Y., Guan, Q., Tao, J., Wu, B., & Wang, X. (2017). Effect of heating time on rigid restraint thermal self-compressing bonding of TC4 alloy. Rare Metal Materials and Engineering.
    Year: 2017

  • Fu, P., Mao, Z., Tang, Z., Li, K., Wang, X., & Zuo, C. (2017). Microstructures and properties of TC4 ELI alloy with horizontal electron beam welding for submersible manned cabin. Applied Ocean Research. https://doi.org/10.1016/j.apor.2017.09.004
    Year: 2017

Raghavendran Prabakaran | Fractional Differential Equations | Best Researcher Award

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Dr. Raghavendran Prabakaran | Fractional Differential Equations | Best Researcher Award

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

Dr. Raghavendran Prabakaran is an emerging mathematician specializing in fractional differential equations, integral transforms, control theory, and their applications in artificial intelligence and cryptography. With over 60 research contributions, including SCI and Scopus-indexed journal papers, conference presentations, book chapters, and patents, his work demonstrates both theoretical depth and applied innovation. His research focuses on the development and analysis of mathematical models for complex systems, emphasizing existence, stability, and controllability results in fractional calculus. Through rigorous analytical approaches and novel transform methods, Dr. Raghavendran advances the understanding of fractional integro-differential systems, contributing to both pure and applied mathematics. His growing citation impact across Scopus, Web of Science, and Google Scholar reflects his rising influence in computational and applied mathematical research.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications

Raghavendran, P., Gunasekar, T., Balasundaram, H., Santra, S. S., & Baleanu, D. (2024). Solving fractional integro-differential equations by Aboodh transform. Journal of Mathematics and Computer Science, 34, —. Citation count: 34.

Gunasekar, T., Raghavendran, P., Santra, S. S., & Sajid, M. (2024). Existence and controllability results for neutral fractional Volterra–Fredholm integro-differential equations. Journal of Mathematics and Computer Science, 34(4), 361–380. Citation count: 33.

Gunasekar, T., Raghavendran, P., Santra, S. S., & Sajid, M. (2024). Analyzing existence, uniqueness, and stability of neutral fractional Volterra–Fredholm integro-differential equations. Journal of Mathematics and Computer Science, 33(4), 390–407. Citation count: 29.

Gunasekar, T., Raghavendran, P., Santra, S. S., Majumder, D., & Baleanu, D. (2024). Application of Laplace transform to solve fractional integro-differential equations. Journal of Mathematics and Computer Science, 33(3), 225–237. Citation count: 26.

Gunasekar, T., & Raghavendran, P. (2024). The Mohand transform approach to fractional integro-differential equations. Journal of Computational Analysis and Applications, 33(1), 358–371. Citation count: 25.

Ilhem Kadri | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ilhem Kadri | Applied Mathematics | Best Researcher Award

Associate Professor | University of Oran 1 – Ahmed Ben Bella | Algeria

Dr. Ilhem Kadri is an Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, specializing in fractional calculus, nonlinear partial differential equations, and computational mathematics. She earned her Ph.D. in Applied Mathematics from the University of Jordan, following her master’s and bachelor’s degrees in mathematics from the University of Oran 1 Ahmed Ben Bella. Dr. Kadri’s academic and research trajectory reflects a deep commitment to advancing the analytical and numerical treatment of fractional and conformable differential equations, as well as exploring chaotic and nonlinear dynamical systems. Her scholarly contributions include numerous research articles in internationally recognized journals, such as the European Journal of Pure and Applied Mathematics, Mathematics, and Results in Nonlinear Analysis, where she has developed novel analytical and numerical frameworks including the Laplace Transform Decomposition Method, the Conformable Fractional Laplace Transform Method, and applications of fractional Fourier series and tensor product techniques. She has presented her work at several prestigious international conferences and symposia across Europe, Asia, and Africa, contributing to global dialogues on applied and computational mathematics. Dr. Kadri is also actively engaged in academic collaboration, scientific workshops, and professional development activities focused on enhancing research impact and innovation in mathematical sciences. Her expertise and scholarly output reflect a strong foundation in both theoretical and applied aspects of mathematics, positioning her as an influential contributor to the field of fractional calculus and nonlinear analysis.10 Citations, 4 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kadri, I.*, Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150. Citations: 12.

2. Kadri, I.*, Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59. Citations: 10.

3. Kadri, I.*, Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6. Citations: 5.

4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I.* (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

5. Kadri, I.*, Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3).

Khushdil Ahmad | Pure Mathematics | Excellence in Research

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Dr. Khushdil Ahmad | Pure Mathematics | Excellence in Research

Khushdil Ahmad | Government College University | Pakistan

Dr. Khushdil Ahmad is a Visiting Faculty Member in the Department of Mathematics at Government College University, Lahore, specializing in Fixed Point Theory, Nonlinear Analysis, and Algebraic Combinatorics. He earned his Ph.D. in Mathematics from Government College University, Lahore, where his research explored posets at the intersection of combinatorics and category theory under the supervision of Prof. Dr. Khurram Shabbir and Dr. Eric Rubiel Dolores-Cuenca. He also holds an M.Phil. in Mathematics from the same institution, where he investigated the approximation of fixed points of multivalued nonexpansive mappings in ordered CAT(0) spaces, and a BS in Mathematics from Government Post Graduate Jahanzeb College, Swat. Dr. Ahmad has served as a visiting faculty member at both Government College University, Lahore, and Government M.A.O. Graduate College, Lahore, teaching a range of undergraduate and advanced mathematics courses including Real Analysis, Optimization Theory, Graph Theory, and Numerical Analysis. His research contributions encompass over ten peer-reviewed publications in reputed international journals such as Symmetry, Fractal and Fractional, Journal of Function Spaces, AIMS Mathematics, and Journal of Algebraic Combinatorics. His work focuses on iterative schemes, computational methods in Banach and CAT(0) spaces, and applications of fixed point theory in mathematical modeling and dynamic systems. In addition to his research, he actively serves as a reviewer for multiple international journals, including Open Mathematics, Alexandria Engineering Journal, Qeios, Sahand Communications in Mathematical Analysis, and Iraqi Journal of Science. Dr. Ahmad is also an Academic Board Member of Global Open Share Publishing and advisor to Dr. Salam Society for Mathematics at GC University. His scholarly excellence is reflected in his growing citation record and contributions to collaborative global research. He has presented at international conferences, including the 1st International Conference on Mathematics and Mathematics Education, Indonesia, and continues to advance mathematical inquiry through both teaching and research.27 Citations, 11 Documents, h-index: 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahmad, K.*., Shabbir, K., & Ahsan, K. (2025). A refined inertial-like subgradient method for split equality problems. AppliedMath, 5(3), 117.

2. Jia, J., Shabbir, K., Ahmad, K.*, Shah, N. A., & Botmart, T. (2022). Strong convergence of a new hybrid iterative scheme for nonexpensive mappings and applications. Journal of Function Spaces, 2022(1), 4855173. Citations: 19

3. Ahmad, K.*., Dolores-Cuenca, E. R., & Shabbir, K. (2025). Shuffle series. Journal of Algebraic Combinatorics, 61(2), 1–40. Citations: 2.

4. Ahmad, K.*., Shabbir, K., & Nazar, N. (2024). Convergence analysis of Picard–Thakur hybrid iterative scheme for α-nonexpansive mappings in uniformly convex Banach spaces. International Journal of Applied Mathematical Research, 13(1), 34–48. Citations: 2.

5. Khan, S. H., Ahmad, K.*, & Abbas, M. (2023). Approximation of fixed points for a pair of certain nonexpansive type mappings with applications. Punjab University Journal of Mathematics, 55(11), 427–449. Citations: 2.

Mandli Rami Reddy | Mathematical Engineering | India

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Assist. Prof. Dr. Mandli Rami Reddy | Mathematical Engineering | India

Assistant Professor at Srinivasa Ramanujan Institute of Technology, India

Assist. Prof. Dr. Mandli Rami Reddy is a distinguished academic and researcher with over 18 years of teaching and research experience in Electronics and Communication Engineering, specializing in Wireless Sensor Networks, Wireless Communications, and IoT. He earned his B.Tech from SVCET, M.Tech in Communication and Signal Processing from GPREC, and is currently pursuing his Ph.D. at JNTUA, Anantapur. He has published numerous impactful papers in SCIE and Scopus-indexed journals and international conferences, along with four published patents in advanced wireless, AI, and IoT technologies. Beyond research, he actively contributes as a reviewer for reputed journals and is a life member of professional bodies including ISTE, IE(I), and IETE. His innovative research, academic leadership, and community involvement mark him as a promising scholar with strong future potential.

Professional Profile

Google Scholar | ORCID Profile 

Education

Assist. Prof. Dr. Mandli Rami Reddy has pursued a strong academic foundation in Electronics and Communication Engineering. He completed his Bachelor of Technology (B.Tech) in Electronics and Communication Engineering from SVCET, Chittoor, affiliated with JNTU Hyderabad. He later obtained his Master of Technology (M.Tech) in Communication and Signal Processing from GPREC, Kurnool, Andhra Pradesh. With a strong interest in advanced research, he is currently pursuing his Ph.D. at Jawaharlal Nehru Technological University Anantapur (JNTUA), Andhra Pradesh, India. His academic journey reflects a continuous pursuit of knowledge and innovation, with a focus on wireless sensor networks and communication systems. His educational background equips him with both theoretical expertise and practical insights into the evolving field of communication engineering, laying the groundwork for impactful research and teaching contributions.

Experience

Dr. Mandli Rami Reddy has more than eighteen years of academic and research experience, primarily as an Assistant Professor in Electronics and Communication Engineering. Over the years, he has served in several reputed engineering institutions across Andhra Pradesh and Telangana before joining Srinivasa Ramanujan Institute of Technology, Anantapur, where he continues to contribute actively. His teaching spans a wide range of subjects in communication and electronics, nurturing young engineers with strong technical skills and research-oriented thinking. With his expertise, he has mentored students in academic projects, research publications, and technology-driven innovations. In addition to teaching, he has established himself as a productive researcher with a series of published papers, patents, and international collaborations, thus balancing both academic and professional contributions effectively throughout his career.

Research Interest

The primary research interests of Dr. Mandli Rami Reddy focus on Wireless Sensor Networks, Wireless Communications, and Internet of Things (IoT). His studies emphasize enhancing localization techniques, improving network coverage, and optimizing energy efficiency in sensor networks using advanced algorithms. He has applied methods such as Particle Swarm Optimization, Genetic Algorithms, and Grey Wolf Optimization to develop robust solutions for network performance challenges. Furthermore, his research extends to the design of intelligent IoT devices, AI-based tools for optical communication, and sustainable applications like smart waste management systems. His publications in leading SCIE and Scopus-indexed journals demonstrate his commitment to addressing real-world technological issues. Through these research pursuits, he aims to contribute solutions that not only advance the field of communication engineering but also benefit industrial applications and societal needs.

Award and Honor

Throughout his career, Dr. Mandli Rami Reddy has been recognized for his contributions to research and academia. He has successfully published four patents in areas spanning wireless sensor networks, AI-based communication devices, and IoT-driven applications, demonstrating his innovation and problem-solving abilities. His academic publications in prestigious journals such as Applied Sciences, Wireless Networks, Computers, and SN Computer Science reflect his scholarly impact. He also contributes as a reviewer for reputed journals like the American Journal of Applied Scientific Research, showcasing his professional recognition within the research community. In addition, his memberships with professional organizations such as ISTE, IEI, IETE, IAENG, and SDIWC highlight his active engagement in professional networks. These honors collectively underline his dedication, innovation, and leadership in engineering research and education.

Research Skill

Dr. Mandli Rami Reddy possesses diverse research skills spanning algorithm development, wireless network optimization, and IoT device innovation. His expertise lies in improving accuracy in localization algorithms such as DV-Hop by integrating metaheuristic techniques including Particle Swarm Optimization and Genetic Algorithms. He has also worked extensively on energy-efficient protocols for wireless networks and smart device integration for sustainable applications. His ability to file patents demonstrates not only research competence but also practical application of technology to real-world challenges. Proficiency in academic writing, data analysis, and project execution further strengthen his profile as a capable researcher. Additionally, his collaborative approach and reviewing experience enhance his ability to critically assess and contribute to the scientific community. These combined skills enable him to create impactful and innovative research outcomes with academic and industrial relevance.

Publication Top Notes

  • Title: Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm
    Authors: M. R. Reddy, M. L. R. Chandra, P. Venkatramana, R. Dilli
    Year: 2023
    Citations: 122

  • Title: High Speed, Low Matchline Voltage Swing and Search Line Activity TCAM Cell Array Design in 14 nm FinFET Technology
    Authors: Ravindra Kumar
    Year: 2020
    Citations: 9*

  • Title: An improved 3D-DV-hop localization algorithm to improve accuracy for 3D wireless sensor networks
    Authors: M. R. Reddy, M. L. R. Chandra
    Year: 2024
    Citations: 5

  • Title: An enhanced 3D-DV-hop localisation algorithm for 3D wireless sensor networks
    Authors: M. R. Reddy, M. L. Ravi Chandra
    Year: 2024
    Citations: 3

  • Title: System Identification Using an Affine Combination of Two LMS Adaptive Filters
    Authors: P. Nagarjuna, M. Rami Reddy
    Year: 2012
    Citations: 1

  • Title: Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks
    Authors: M. R. Reddy, M. L. R. Chandra, R. Dilli
    Year: 2025

  • Title: A Simplified Approach of Correlated Rician Fading Channel Estimation in Multi-User Ultra-Massive MIMO RIS-assisted Narrow Band Wireless Systems
    Authors: R. R. Mandli, M. L. R. Chandra, R. Dilli
    Year: 2024

  • Title: Optimal Node Deployment and Coverage in Next Generation Wireless Sensor Networks Applications
    Authors: R. R. Mandli, M. L. R. Chandra, R. Dilli
    Year: 2024

  • Title: Gaussian-Newton Localization Through Multilateration Algorithm for Wireless Sensor Networks
    Authors: M. R. Reddy, M. L. R. Chandra
    Year: 2023

  • Title: Design of 6G Communication System at THz Frequency Bands
    Authors: R. Dilli, R. C. M. L., R. R. Mandli
    Year: 2021

  • Title: Optimization Algorithm for Noise Cancellation Using Adaptive Estimator
    Authors: T. K. P. Mandli Rami Reddy, C. Thippeswamy
    Year: 2020

  • Title: A Nature Based Computing Technique for Image Watermarking using Bacterial Foraging Optimization, Wavelet and Cosine Transform
    Authors: M. L. R. C. Alam Siva Sankar, Mandli Rami Reddy
    Year: 2020

Conclusion

Assist. Prof. Dr. Mandli Rami Reddy stands out as a dedicated academician, researcher, and innovator with nearly two decades of impactful contributions in teaching and research. His educational background, research achievements, patents, and professional involvement position him as a strong contributor to the fields of communication engineering and IoT. With publications in reputed journals, successful patents, and active participation in professional societies, he continues to inspire students and peers alike. His balanced expertise in both theory and application reflects his commitment to bridging academic research with practical innovations. Looking ahead, his strong foundation, research skills, and leadership potential will enable him to expand international collaborations, publish in top-tier journals, and contribute further to advancing technology and benefiting society.

Valeriy Demchenko | Applied Mathematics | Best Researcher Award

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Prof. Valeriy Demchenko | Applied Mathematics | Best Researcher Award

Professor at Leading Researcher Plastics Welding Department, E.O. Paton Electric Welding Institute of the National Academy of Sciences of Ukraine, Ukraine.

Prof. Valeriy Demchenko is a leading Ukrainian researcher specializing in macromolecular and polymer chemistry, with a strong focus on nanocomposites for biomedical and antimicrobial applications. Holding a Ph.D. in Physics and Mathematics and a Doctor of Sciences in Chemical Sciences, he currently serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Prof. Demchenko has led and contributed to numerous national research projects, authored high-impact publications in top-tier journals (Q1, Q2), and holds multiple patents in innovative polymer materials. He actively promotes science through public platforms and has played key roles in organizing scientific conferences. With his blend of academic excellence, research leadership, and real-world innovation, Prof. Demchenko is recognized as a dynamic and forward-thinking scientist driving impactful change in the fields of materials science and polymer chemistry.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile

Education

Prof. Valeriy Demchenko completed his undergraduate studies in Physics, Computer Science, and Astronomy at the National Pedagogical University named after M.P. Dragomanov. He earned his Ph.D. in Physics and Mathematics, specializing in Polymer Physics, from the Institute of Macromolecular Chemistry of the National Academy of Sciences (NAS) of Ukraine. He was awarded the Doctor of Sciences (Habilitation) in Chemical Sciences, with a specialization in Macromolecular Chemistry. His academic progression reflects a deep and consistent focus on polymer research and material sciences. He was granted the academic title of Associate Professor. Prof. Demchenko’s strong educational foundation, blending physical sciences with applied chemistry, has empowered his cutting-edge research in nanocomposites and biomedical materials.

Experience

Prof. Demchenko has progressive research experience in the fields of polymer chemistry and nanomaterials. Currently, he serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Previously, he worked as a Senior Researcher and Researcher at the Institute of Macromolecular Chemistry of NAS of Ukraine. His earlier roles included teaching astronomy and lecturing at the Cherkasy State Technological University. His experience spans academic instruction, industrial research, and national-level project leadership. He has managed multiple high-impact research projects, particularly in antimicrobial packaging, tissue-regenerative materials, and polymer composites. Prof. Demchenko’s versatile experience showcases his strong scientific leadership, mentorship, and innovation in real-world applications of polymer science.

Research Interest

Prof. Demchenko’s research interests center on macromolecular chemistry, nanocomposite materials, and biopolymer-based systems with specialized applications in healthcare, food packaging, and regenerative medicine. He focuses on the development of antimicrobial and antiviral materials, 3D-printable polymer nanocomposites, and functionalized biodegradable polymers using silver and copper nanoparticles. He is particularly invested in the design of polyelectrolyte complexes and metal-filled polymers for biomedical use. His work bridges materials science, nanotechnology, and biochemistry, with an emphasis on sustainability and public health impact. Through state-funded and collaborative projects, he explores innovations in smart materials and advanced polymer systems. Prof. Demchenko’s interdisciplinary approach and translational research outlook continue to drive significant scientific progress in modern polymer applications.

Award and Honor

Prof. Demchenko has earned notable recognition for his outstanding scientific work. He was awarded the Named Scholarship of the Verkhovna Rada of Ukraine for Young Scientists for his pioneering research in 3D-printed antimicrobial materials. He was also featured in the “Best Young Scientist of the Academy” initiative by the Council of Young Scientists of NAS of Ukraine. In addition to securing competitive national grants and leading multiple state-funded projects, his contributions have been validated through patents, keynote invitations, and editorial engagements. His leadership in organizing academic conferences and promoting scientific education further highlights his professional stature. These accolades underline his role as a forward-thinking researcher contributing meaningfully to both scientific advancement and societal benefit.

Research Skill

Prof. Demchenko possesses advanced expertise in polymer synthesis, nanocomposite engineering, metal nanoparticle integration, and characterization of functional materials. His skills include 3D printing technologies, materials testing, and formulation of biodegradable, antimicrobial polymers. He has hands-on experience with electron microscopy, spectroscopic analysis, and polymer processing. Additionally, he demonstrates strong project management, with successful leadership of multi-year state-funded research programs. His prolific output includes high-impact Q1/Q2 publications, multiple patents, and peer reviews for top international journals such as ACS Applied Biomaterials and Carbohydrate Polymers. His ability to bridge laboratory research with practical applications, coupled with strategic collaborations, positions him as a well-rounded scientist equipped to tackle complex interdisciplinary challenges.

Publication Top Notes

  • Title: Constant electric and magnetic fields effect on the structuring and thermomechanical and thermophysical properties of nanocomposites formed from pectin–Cu²⁺–polyethyleneimine
    Authors: V. Demchenko, V. Shtompel’, S. Riabov, E. Lysenkov
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 21

  • Title: Nanostructurization and thermal properties of polyethylenes’ welds
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 35

  • Title: DC field effect on the structuring and thermomechanical and electric properties of nanocomposites formed from pectin—Cu²⁺—polyethyleneimine ternary
    Authors: V.L. Demchenko, V.I. Shtompel’, S.V. Riabov
    Journal: Polymer Science Series A
    Year: 2015
    Citations: 27

  • Title: Structural features and thermal characteristics of welded joints of technical polyethylenes
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Polymer Journal
    Year: 2015
    Citations: 4

  • Title: Comparative analysis of the quality of plastic products formed by DLP and FDM 3D printing technologies
    Authors: O. Masiuchok, M. Iurzhenko, V. Demchenko, M. Korab
    Journal: Bulletin of Ternopil National Technical University
    Year: 2020
    Citations: 4

  • Title: Polylactide/carbon black segregated composites for 3D printing of conductive products
    Authors: O. Masiuchok, M. Iurzhenko, R. Kolisnyk, Y. Mamunya, M. Goddzierz, V. Demchenko, …
    Journal: Polymers
    Year: 2022
    Citations: 17

  • Title: Fabrication of polylactide composites with silver nanoparticles by sputtering deposition and their antimicrobial and antiviral applications
    Authors: V. Demchenko, Y. Mamunya, I. Sytnyk, M. Iurzhenko, I. Krivtsun, …
    Journal: Polymer International
    Year: 2025
    Citations: 3

  • Title: Antimicrobial and antiviral activity of nanocomposites based on polyelectrolyte complexes with silver nanoparticles
    Authors: V. Demchenko, …
    Journal: Mikrobiolohichnyi Zhurnal
    Year: 2024
    Citations: 1

  • Title: Development of a Mathematical Model for Predicting the Average Molten Zone Thickness of HDPE Pipes During Butt Fusion Welding
    Authors: D. Zeng, M. Iurzhenko, V. Demchenko
    Journal: Polymers, Volume 17 (14), Article 1932
    Year: 2025

  • Title: Structure, thermophysical, antimicrobial, and genotoxic properties of silver-containing nanocomposites film, obtained by sputtering deposition
    Authors: V.L. Demchenko, Y.P. Mamunya, M.V. Iurzhenko, S.M. Kobylinskyi, …
    Journal: Chemistry, Physics and Technology of Surface, Volume 16 (1), Pages 90–103
    Year: 2025

Conclusion

Prof. Valeriy Demchenko exemplifies scientific excellence through his consistent contributions to polymer chemistry and applied nanotechnology. With robust academic training, diverse research experience, and leadership in national and interdisciplinary projects, he stands as a transformative figure in materials science. His work addresses pressing global needs—from healthcare safety to sustainable packaging—via innovative polymer-based solutions. Recognized through competitive grants, patents, and scholarly output, he continues to impact both academia and industry. With a trajectory marked by innovation, collaboration, and outreach, Prof. Demchenko remains poised for further leadership in international research arenas and is a highly deserving candidate for prestigious scientific honors and awards.

Yajuan Sun | Computational Mathematics | Best Researcher Award

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Prof. Yajuan Sun | Computational Mathematics | Best Researcher Award

Researcher at Academy of Mathematics and Systems Science, CAS, China

Professor Yajuan Sun is a distinguished mathematician at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), specializing in geometric numerical methods for differential equations with applications in plasma physics, molecular dynamics, and soliton theory. With a Ph.D. from CAS and over two decades of academic excellence, she has led 14 major research projects, including national and international collaborations such as the ITER fusion project. Her 49+ peer-reviewed publications in top-tier journals, mentorship of numerous graduate students, and global academic engagements—spanning the UK, USA, Singapore, and Australia—reflect her influential contributions to both theory and applied science. Her innovative algorithms have been used in major fusion reactor simulations and were shortlisted for the ACM Gordon Bell Prize. Prof. Sun exemplifies leadership, innovation, and global impact in computational mathematics.

Professional Profile

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Education

Professor Yajuan Sun holds a Ph.D. in Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), where she developed variational integrators under the guidance of Prof. Mengzhao Qin. Prior to that, she earned her M.S. in Mathematics from Inner Mongolia University, where she focused on nonlinear parabolic equations. Her academic journey began with a B.S. in Mathematics from Inner Mongolia Normal University. Her early research laid the foundation for a lifelong specialization in numerical methods and geometric integrators. These academic credentials from top Chinese institutions shaped her deep understanding of both theoretical and computational mathematics, enabling her to build a globally recognized career in numerical analysis, with a focus on preserving geometric structures in the solutions of differential equations.

Experience

Professor Sun’s academic career spans over two decades at the Chinese Academy of Sciences, where she currently serves as a Professor at the Academy of Mathematics and Systems Science. She began as a Postdoctoral Researcher and has steadily advanced through roles as Assistant and Associate Professor. Internationally, she has been a Visiting Scholar at prestigious institutions including the Isaac Newton Institute (UK), UCSD (USA), and the National University of Singapore. Her collaborations span Europe, Oceania, and Asia, reflecting a robust international presence. She has supervised numerous graduate and visiting students, served as a referee for reputed journals, and contributed to a range of scientific platforms. Her sustained dedication and interdisciplinary work have made her a key contributor to applied and theoretical research within global scientific communities.

Research Interest

Professor Yajuan Sun’s research lies in geometric numerical integration, focusing on the development of algorithms that preserve intrinsic structures in differential equations—such as symplectic, volume-preserving, and energy-conserving properties. She explores advanced numerical techniques for both ODEs and PDEs, using variational principles, Hamiltonian systems, and generating functions. Her work applies to complex systems such as plasma dynamics, molecular simulations, and electromagnetic field modeling. She integrates finite element methods with geometric approaches to solve large-scale, stiff problems arising from science and engineering. Her ongoing interests include adaptive schemes, multisymplectic theory, and numerical stability. The elegance of preserving physical laws in simulations is at the heart of her research, contributing both to theoretical advancement and real-world scientific modeling in fusion energy and particle dynamics.

Award and Honor

Professor Sun has received notable honors, including the Excellent Achievement Award in Natural Science and funding from the K.C. Wong Education Foundation for Excellent Female Scientists. She has led or participated in prestigious projects funded by the National Natural Science Foundation of China, the ITER Project, and international programs like the Royal Society’s cost-share exchange. Her work was integral to a simulation shortlisted for the ACM Gordon Bell Prize, one of the highest recognitions in high-performance computing. These accolades reflect her pioneering role in computational mathematics, the global relevance of her research, and her impact as a female leader in STEM. Her sustained excellence across theory, application, and mentorship has earned her respect in both Chinese and international scientific circles.

Research Skill

Professor Yajuan Sun excels in designing structure-preserving numerical algorithms for large-scale systems modeled by differential equations. She is proficient in symplectic and multisymplectic integrators, generating function techniques, Runge–Kutta methods, and volume-preserving schemes. Her computational expertise extends to adaptive time-stepping, Hamiltonian splitting, and hybrid solvers used in plasma and electromagnetic field modeling. She integrates theoretical rigor with practical algorithm design, validated through real-world simulations such as those of fusion reactors (EAST, CFETR). Her collaborative work across mathematics and physics showcases her ability to bridge domains using high-level programming, numerical modeling, and mathematical physics. She also reviews and edits scientific publications, mentors graduate research, and contributes to algorithmic theory in cutting-edge computational science.

Publication Top Notes

  • Title: Contact-PIC Numerical Methods for Simulating Vlasov–Poisson–Fokker–Planck Problem
    Authors: Yajuan Sun
    Year: 2022

  • Title: Numerical Analysis for a Class of Variational Integrators
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Geometric Integration for the Linear-Gradient System
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Hamiltonian Particle-in-Cell Methods for Vlasov–Poisson Equations
    Authors: Yajuan Sun, et al.
    Year: 2022
    Citations: 7

Conclusion

Professor Yajuan Sun stands out as a leading mathematician whose research bridges theoretical innovation and practical scientific impact. With an outstanding academic record, influential publications, and significant research grants, she has made enduring contributions to geometric numerical methods and their application in plasma physics and beyond. Her ability to integrate structure-preserving algorithms into simulations of complex physical systems has driven advancements in computational modeling. Through global collaborations, student mentorship, and editorial service, she contributes actively to the scientific community. With ongoing research in adaptive and energy-conserving numerical methods, Professor Sun is poised to further influence the future of scientific computing, making her an exemplary candidate for the Best Researcher Award and a role model in the mathematical sciences.