Sonal Nirwal | Mathematical Modelling | Best Researcher Award

Assist Prof Dr Sonal Nirwal | Mathematical Modelling | Best Researcher Award

Assistant Professor, National Yang Ming Chiao Tung University,  Taiwan

Sonal Nirwal is a dedicated researcher at the National Yang Ming Chiao Tung University in Hsinchu, Taiwan, specializing in applied geophysics and materials science. With a robust academic background, Nirwal has made significant contributions to understanding seismic wave propagation and the behavior of multiferroic materials under various loading conditions. With an impressive citation count of 158 across 18 published documents, Nirwal is recognized for innovative approaches to complex engineering problems. Committed to advancing his field, he collaborates with leading researchers to explore the intersection of theoretical and practical applications in engineering.

Profile

Scopus

Strengths for the Award

Sonal Nirwal possesses a strong research portfolio with 18 publications, showcasing his expertise in wave propagation and mathematical modeling of piezoelectric materials. His h-index of 7 indicates a solid impact in his field, with 158 citations reflecting the relevance and quality of his work. Nirwal’s ability to collaborate effectively, as demonstrated through co-authorship with notable researchers, highlights his commitment to advancing collective knowledge in applied mathematics and engineering.

Areas for Improvement

While Nirwal’s publication record is commendable, increasing his engagement in conferences and public outreach could enhance visibility and foster collaboration with industry professionals. Expanding his research topics could also attract broader interdisciplinary applications, further strengthening his contributions to academia and practical engineering solutions.

Education 

Sonal Nirwal completed his undergraduate studies at Guangxi University in Nanning, China, where he earned his degree in Mechanical Engineering. His academic journey continued at the National Yang Ming Chiao Tung University, where he is currently pursuing advanced studies in Electrical Engineering and Automation. At this prestigious institution, Nirwal has developed a keen interest in applied geophysics, focusing on the mathematical modeling of seismic waves and material behavior. His education has equipped him with a strong foundation in both theoretical and practical aspects of engineering, enabling him to tackle complex challenges in his research.

Experience 

Since March 2021, Sonal Nirwal has been a student researcher at the National Yang Ming Chiao Tung University, where he has contributed to various projects related to seismic wave modeling and piezoelectric materials. His work includes the development of models that address the complexities of wave propagation in layered materials and the impact of anisotropic properties on seismic data. Nirwal has collaborated on multiple publications, enhancing his research portfolio while gaining invaluable experience in scientific writing and data analysis. His involvement in cutting-edge research projects underscores his commitment to advancing knowledge in the engineering field.

Awards and Honors 

Sonal Nirwal’s research contributions have garnered recognition in the academic community, particularly for his work on seismic waves and piezoelectric materials. While specific awards are not listed, his publications have received significant citations, indicating the impact of his research. Nirwal’s collaborations with esteemed co-authors and participation in international conferences showcase his commitment to advancing engineering sciences. His engagement with the scientific community highlights his potential for future awards as he continues to produce high-quality research that addresses pressing challenges in geophysics and materials science.

Research Focus 

Sonal Nirwal’s research primarily focuses on applied geophysics, particularly the modeling and analysis of seismic waves in layered materials. He investigates the effects of anisotropy on wave propagation and explores the behavior of multiferroic structures under time-harmonic loading. His work involves developing mathematical models that provide insights into wave scattering, transmission, and reflection in complex media, including piezoelectric materials. Nirwal aims to enhance understanding of seismic data inversion challenges and improve engineering applications in earthquake-resistant structures. His innovative approach combines theoretical analysis with practical applications, positioning him as a key contributor to advancements in engineering and materials science.

Publication Top Notes

  1. Improved modeling of anisotropic effects on seismic waves in layered transversely isotropic half-spaces: Implications for velocity profile inversion challenges 📈
  2. Three-Dimensional Multiferroic Structures under Time-Harmonic Loading ⚙️
  3. A fast pseudo-3D model for inversion of full SH waves in layered half-spaces ⏱️
  4. Time-harmonic loading over a piezoelectric layered half-space 📊
  5. Anti-plane shear wave motion in a composite layered structure with slit 🌊
  6. Study of Surface Waves Transmission in Orthotropic Bilateral Structure 🌍
  7. Trade-off between ordinary differential equation and Legendre polynomial methods to study guided modes in angle-ply laminate 📚
  8. Mathematical Analysis of Rayleigh Waves at the Nonplanner Boundary between Orthotropic and Micropolar Media 📏
  9. Analysis of wave scattering on piezoelectric surface with flexoelectric effect 🔍
  10. Reflection and transmission of waves at the common interface of piezoelectric half-spaces with microstructure 🔄

Conclusion

Sonal Nirwal’s robust research contributions and growing impact in wave propagation and piezoelectric materials position him as a deserving candidate for the Best Researcher Award. With targeted improvements in collaboration and outreach, he has the potential to further amplify his influence in the scientific community.

Qi Meng – Mathmatics – Best Researcher Award

Qi Meng - Mathmatics - Best Researcher Award

Chinese Academy of Sciences - China

AUTHOR PROFILE

SCOPUS

🧠 INTELLIGENT COMPUTING AND MACHINE LEARNING RESEARCH

Qi Meng is a leading researcher in the field of intelligent computing and machine learning, with a strong focus on applying these techniques to complex physical systems. One of his most significant projects from 2021 to 2024 explored using data-driven models to enhance physical system modeling and simulation. His innovative introduction of LorentzNet, constrained by physical priors, has gained recognition in high-energy physics applications such as Jet Tagging, with numerous citations and praise from prestigious journals.

📚 DEEP LEARNING MATHEMATICAL THEORY

In his research from 2018 to 2021, Qi delved into the mathematical foundations of deep learning, proposing groundbreaking optimization methods like G-SGD and adaptive training techniques such as Path-BN. His work on Power-law dynamics has further advanced understanding of how optimization algorithms impact the regularization effects in deep learning. This research has been featured in top-tier machine learning conferences, including ICML, NeurIPS, and ICLR.

⚛️ PHYSICAL SYSTEM MODELING AND SIMULATION

Qi’s work on accelerating the solution of partial differential equations (PDEs) through machine learning, including methods such as DRVN and DLR-Net, has provided robust solutions to Navier-Stokes equations and stochastic models. His papers on this topic have been published in leading journals like Physical Review E and Physics of Fluids, and his work at the AAAI-23 conference was acknowledged as technically groundbreaking in the AI sub-field.

🌍 DISTRIBUTED MACHINE LEARNING ALGORITHMS

During his time at Microsoft Research Asia from 2015 to 2017, Qi contributed to the development of distributed machine learning algorithms. His work on the LightGBM and DC-ASGD algorithms has had a significant impact, with LightGBM accumulating over 12,400 citations. These tools are widely used in large-scale machine learning applications, enhancing parallel optimization and distributed decision-making processes.

🔢 DEEP LEARNING APPLICATIONS IN PARTIAL DIFFERENTIAL EQUATIONS

Qi’s innovative research on the application of deep neural networks to solve complex stochastic PDEs has brought forth new methods such as NeuralStagger, which uses spatial-temporal decomposition to accelerate physical simulations. His work has been presented at major conferences such as ICML, further cementing his role as a leader in this intersection of deep learning and physics.

📊 DATA-DRIVEN MODELING AND OPTIMIZATION

Throughout his career, Qi has been at the forefront of applying machine learning to solve real-world problems. His work on optimizing neural network path space and addressing the generalization theory in deep learning has opened new avenues in AI research. His contributions to algorithms like G-SGD and innovations in regularization have made significant waves in the AI community.

🎓 PIONEERING CONTRIBUTIONS TO MACHINE LEARNING THEORY

Qi Meng's pioneering contributions, particularly in the development of distributed machine learning and optimization techniques, have earned him widespread recognition. His collaborative work with other renowned researchers continues to push the boundaries of what machine learning can achieve, leading to publications in prestigious venues like KDD, ACL, and AAAI.

Isra Al-Shbeil – Mathematics and application – Best Researcher Award

Isra Al-Shbeil - Mathematics and application - Best Researcher Award

The university of Jordan - Jordan

AUTHOR PROFILE

SCOPUS
GOOGLE SCHOLAR

EDUCATIONAL BACKGROUND

Isra Al-Shbeil has an extensive educational background, highlighted by her Ph.D. in Mathematics from the University of Ottawa, Canada, where she received a Ph.D. grant and held Teaching and Research Assistant positions. She also holds an MSc in Economic Geology from Addis Ababa Science and Technology University, supported by an Academic Excellence Grant, and a BSc in Geology from the same institution, also under an Academic Excellence Grant.

RESEARCH EXPERTISE

Specializing in geometric function theory and elliptic zeta functions within Complex Analysis, Isra has made significant contributions through her research. Her notable publications include "Elliptic Zeta Functions and Equivariant Functions" in the Canadian Mathematical Bulletin and various papers on bi-univalent functions and q-symmetric starlike functions in respected mathematical journals.

TEACHING EXPERIENCE

Isra has excelled as an Assistant and Associate Professor of Mathematics at the University of Jordan. She is adept at delivering advanced math classes, using a student-focused approach to enhance comprehension. She mentors students, guides their academic and career development, and fosters a cooperative learning environment, emphasizing supportive mentoring and teamwork.

PROFESSIONAL EXPERIENCE

As a mathematics professor at the University of Jordan, Isra has served on various departmental committees, providing insights and expertise to improve departmental and institutional efforts. She is committed to upholding high standards in mathematical investigation and scholarship, ensuring the integrity of research projects and academic responsibilities.

PUBLICATIONS

Isra's scholarly work includes research on elliptic zeta functions and bi-univalent functions. She has co-authored publications in journals such as "Fractals and Fractional" and "Symmetry," showcasing innovative enhancement techniques in Complex Analysis. Her research has significantly advanced the understanding of geometric function theory.

SCHOLARSHIPS AND AWARDS

Isra's academic journey has been supported by numerous scholarships and grants. Notable among these are the Ph.D. Grant from the University of Ottawa, the Academic Excellence Grant from the Ministry of Higher Education and Scientific Research in Jordan, and the Academic Excellence Grant from the Deanship of Scientific Research at Al Al-bayt University, covering her bachelor's and master's studies.

RESEARCH PUBLICATIONS

Isra has published several influential research papers, including "Elliptic Zeta Functions" and "Second Hankel Determinant for the Subclass of Bi-Univalent Functions Using q-Chebyshev Polynomial and Hohlov Operator." Her works are widely recognized in the mathematical community, contributing to advancements in the field of Complex Analysis.

NOTABLE PUBLICATION

  • Elliptic Zeta Functions and Equivariant Functions
    • Authors: Al-shbeil, I., Sebbar, A.
    • Year: 2018
    • Journal: Canadian Mathematical Bulletin
  • Elliptic Zeta Functions
    • Author: Al-shbeil, I.
    • Year: 2020
    • Institution: Université d'Ottawa/University of Ottawa
  • Second Hankel Determinant for the Subclass of Bi-Univalent Functions Using q-Chebyshev Polynomial and Hohlov Operator
    • Authors: Al-Shbeil, I., Shaba, T.G., Catas, A.
    • Year: 2022
    • Journal: Fractals and Fractional
  • Properties of q-Symmetric Starlike Functions of Janowski Type
    • Authors: Saliu, A., Al-Shbeil, I., Gong, J., Malik, S.N., Aloraini, N.
    • Year: 2022
    • Journal: Symmetry
  • Radius and Differential Subordination Results for Starlikeness Associated with Limaçon Class
    • Authors: Afis Saliu, K. Jabeen, Al-shbeil, I., Oladejo, S.O.
    • Year: 2022
    • Journal: Journal of Function Spaces