Raziyeh Erfanifar | Mathematics | Research Excellence Award

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Dr. Raziyeh Erfanifar | Mathematics | Research Excellence Award

Shahid Beheshti University | Iran

Dr. Raziyeh Erfanifar is a researcher in applied mathematics and computational engineering whose work centers on high-order iterative methods, nonlinear equations, matrix and tensor computations, and their applications in control theory, signal processing, image processing, data mining, and fractional calculus. The research contributions emphasize the development of efficient, inversion-free, and high-convergence iterative algorithms for solving nonlinear systems, algebraic Riccati equations, nonlinear matrix and tensor equations, and computing Moore–Penrose and Drazin inverses. A significant portion of the work advances fixed-point theory, weight-splitting strategies, Newton-type schemes, and parametric multi-step methods, with rigorous convergence analysis and efficiency evaluation. These methods have been successfully applied to problems in electrical engineering, vibration and control systems, differential equations, tensor equations with Einstein products, data whitening, and numerical simulation. The scholarly output includes 36 peer-reviewed journal articles published in leading journals such as Journal of the Franklin Institute, Journal of Complexity, Computational and Applied Mathematics, Circuits, Systems, and Signal Processing, Applied Numerical Mathematics, and Engineering Computations. According to Google Scholar metrics, this body of work has received 274 citations, with an h-index of 11 and an i10-index of 11, reflecting sustained impact and strong visibility in numerical analysis, computational mathematics, and engineering applications.

 

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Featured Publications

Several efficient iterative algorithms for solving nonlinear tensor equation
X + AT*N X−1*N A = I with Einstein product
– Computational and Applied Mathematics, 2024

Splitting iteration methods to solve non-symmetric algebraic Riccati matrix equation
YAY − YB − CY + D = 0
– Numerical Algorithms, 2023

Xiaoya Wang | Computer Science | Best Researcher Award

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Ms. Xiaoya Wang | Computer Science | Best Researcher Award

Beijing University of Posts and Telecommunications | China

Author Profile

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Orcid

🎓 Early Academic Pursuits

Ms. Xiaoya Wang began her academic journey with a strong foundation in electronics and communication. In 2005, she earned her Master’s degree in Communication and Information Systems from the prestigious Xi’an University of Electronic Science and Technology. Demonstrating an enduring passion for advanced research, she is currently pursuing her Ph.D. at Beijing University of Posts and Telecommunications, specializing in areas crucial to the future of signal intelligence and communications.

🏢 Professional Endeavors

Ms. Wang holds the position of Researcher at the 54th Research Institute of China Electronics Technology Group Corporation (CETC). This institute is renowned for pioneering developments in electronic systems and defense-related technologies. Within this dynamic environment, Ms. Wang plays a pivotal role in pushing forward the frontiers of signal processing and intelligent data processing, contributing to both national-level projects and global innovations.

🔬 Contributions and Research Focus

Ms. Wang’s research is deeply rooted in modulation recognition, signal feature extraction, and integrated sensing and communication (ISAC). She has co-authored impactful publications, including:

📘 "Multi-Feature AND–OR Mechanism for Explainable Modulation Recognition" in Electronics (2025), which offers insights into machine explainability in modulation recognition frameworks.
📗 "RF Signal Feature Extraction in Integrated Sensing and Communication" published in IET Signal Processing (2023), a study enhancing the performance of RF signal analysis under ISAC architectures.

Her contributions emphasize intelligent interpretation of signals, integrating machine learning mechanisms with real-time communication systems.

🏆 Accolades and Recognition

Though currently pursuing her Ph.D., Ms. Wang has already earned recognition for her innovative research and has been published in highly regarded peer-reviewed journals such as Electronics and IET Signal Processing. Her collaborative work with experts like Songlin Sun and Haiying Zhang further illustrates her influence in multidisciplinary research teams.

🌐 Impact and Influence

Ms. Wang’s research holds strategic importance in enhancing signal intelligence, particularly in military communication systems and next-gen wireless technologies. Her work bridges theoretical models with real-world applicability, making signal analysis more transparent, reliable, and intelligent. Her development of explainable AI mechanisms in signal processing is especially vital for defense and critical communication infrastructures.

🌟 Legacy and Future Contributions

As she continues her doctoral studies and deepens her involvement in cutting-edge research, Ms. Xiaoya Wang is poised to be a leading force in intelligent signal processing. Her legacy will likely lie in making signal systems more secure, adaptive, and interpretable, laying the groundwork for smart communication systems of the future. Her forward-thinking approach ensures she will remain a vital contributor to both academic advancement and industrial innovation.

Publications

📄 Multi-Feature AND–OR Mechanism for Explainable Modulation Recognition
Authors: Xiaoya Wang, Songlin Sun, Haiying Zhang, Yuyang Liu, Qiang Qiao
Journal: Electronics
Publication Year: 2025

📄 RF Signal Feature Extraction in Integrated Sensing and Communication
Authors: Xiaoya Wang, Songlin Sun, Haiying Zhang, Qiang Liu, Sourabh Sahu
Journal: IET Signal Processing
Publication Year: 2023

Benjamin Kwakye Danso | Computer Science | Best Paper Award

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Mr. Benjamin Kwakye Danso | Computer Science | Best Paper Award

University of Science and Technology of China | China

Author Profile

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🌱 Early Academic Pursuits

Mr. Benjamin Kwakye Danso began his academic journey in Ghana, earning a DBE in Science and Mathematics from the University of Cape Coast in 2011. He continued to build a strong foundation in mathematics with a B.Ed. in Mathematics from Valley View University. His academic excellence led to recognition on the Vice Chancellor’s List of Excellent Students. Driven by a passion for analytical sciences, he pursued a Master’s degree in Mathematics at Hohai University, China, and is currently a Ph.D. candidate in Statistics at the University of Science and Technology of China, focusing on cutting-edge statistical methods and optimization techniques.

💼 Professional Endeavors

Mr. Kwakye Danso has a rich background in teaching and project leadership. He served as a mathematics and integrated science teacher in Ghana’s education system, holding leadership roles such as Secretary of the PTA and Head of the Examination Committee. His international exposure expanded in China, where he leads the Project Management Team at Grace Outreach Global Foundation. He has also supported various academic and cultural initiatives, including student registration and the Sino-Cultural Festival organization.

🔬 Contributions and Research Focus

Mr. Kwakye Danso's research is deeply rooted in optimization, metaheuristic algorithms, feature selection, and mathematical statistics. His 2024 publication in Expert Systems with Applications introduces a particle-guided metaheuristic algorithm for complex global optimization problems. His interdisciplinary work spans radar systems, agricultural technologies, and data science, contributing to IEEE conferences and journals like Signal Processing, Science Journal of Chemistry, and Pharmacognosy Journal. His academic rigor is complemented by practical insights in data analysis and high-dimensional feature modeling.

🏆 Accolades and Recognition

His academic achievements have been recognized with Chinese University Scholarships from both Hohai University and the University of Science and Technology of China. Additionally, his placement on the Vice Chancellor’s List reflects his sustained excellence. He has also been selected for prestigious international conferences, such as ASPAI 2022 and IEEE ICSIP 2020.

🌍 Impact and Influence

Benjamin's work bridges applied mathematics and real-world challenges, particularly in optimization and data modeling for signal processing and agricultural innovation. His research has contributed to solving high-dimensional problems in radar communication and food science, while also influencing educational standards in Ghana. His leadership in academic communities and volunteering initiatives exemplifies a commitment to societal advancement through science.

🔮 Legacy and Future Contributions

Mr. Kwakye Danso’s scholarly path showcases an inspiring trajectory of growth from local educator to international researcher. With ongoing Ph.D. research and active membership in global academic networks such as the Institute of Mathematical Statistics and OAAD, he is poised to make substantial contributions to AI-driven optimization, statistical modeling, and STEM education in Africa. His future work promises to enrich both academic theory and practical applications.

 

Publications

📝 Particle guided metaheuristic algorithm for global optimization and feature selection problems

Authors: B.D. Kwakye (Benjamin Danso Kwakye), Y. Li (Yongjun Li), H.H. Mohamed (Halima Habuba Mohamed), E. Baidoo (Evans Baidoo), T.Q. Asenso (Theophilus Quachie Asenso)

Journal: Expert Systems with Applications

Year: 2024

 

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

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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

 

Megha Varshney | Mathematics | Best Researcher Award

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Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

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Early Academic Pursuits 🎓

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

Professional Endeavors 💼

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

Contributions and Research Focus 🔬

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

Accolades and Recognition 🏅

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

Impact and Influence 🌟

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

Legacy and Future Contributions 🔮

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

 

Publications

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