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.

đź“š 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.

đź“Š 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: UniversitĂ© 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