Shobha V | Mathematics | Best Researcher Award

Mrs Shobha V | Mathematics | Best Researcher Award

Research Scholar, New Horizon college of engineering , India

Dr. Shobha V is a distinguished academic with over 20 years of teaching experience in applied mathematics and engineering. She currently serves as an Associate Professor and Head of the Department at Government First Grade College, Kengeri, Bangalore, a position she has held since her appointment through KPSC in 2009. Dr. Shobha is pursuing her Ph.D. at Visvesvaraya Technological University, specializing in advanced mathematical applications for engineering solutions. Her research focuses on applied mathematics, statistical analysis, and integrating technology into education. She is an active contributor to academia, having presented research papers at various national and international conferences and delivered special lectures at prestigious institutions. Dr. Shobha has also served as a member of the Board of Examiners and Board of Studies at Bangalore University, further exemplifying her commitment to educational excellence.

PROFESSIONAL PROFILE

Orcid

STRENGTHS FOR THE AWARD

  1. Academic Excellence: Dr. Shobha V’s extensive academic background, including her M.Phil, M.Sc., and current pursuit of a Ph.D., demonstrates her strong foundation in applied mathematics and engineering.
  2. Research Contributions: Her publication in Physics of Fluids showcases expertise in complex engineering and mathematical modeling, particularly in thermophoresis and electromagnetic flow analysis.
  3. Professional Experience: With 20 years of teaching and leadership experience, Dr. Shobha has made significant contributions as an educator and mentor, including serving as Head of the Department.
  4. Recognition: The Uttam Acharya Puraskar award highlights her commitment to academic and research excellence on a national scale.
  5. Academic Engagement: Active participation in BOE and BOS at Bangalore University, along with presenting papers and delivering lectures, underscores her dedication to knowledge dissemination.

AREAS FOR IMPROVEMENT

  1. Broader Research Impact: Expanding her research to include interdisciplinary applications or collaborations may enhance her visibility and influence in the global academic community.
  2. Publications: While her work is commendable, increasing the volume of peer-reviewed publications in high-impact journals could strengthen her research portfolio.
  3. Funding and Grants: Securing research grants and leading funded projects would further solidify her credentials as a leader in research.
  4. Technology Integration: Documenting practical applications of her work, especially in educational methodologies, could emphasize her contributions to innovation.

EDUCATION

🎓 Ph.D. (Pursuing): Visvesvaraya Technological University (VTU), affiliated with New Horizon College of Engineering, Bangalore.
🎓 M.Phil: 2006, Alagappa University.
🎓 M.Sc: 2004, Government Science College, Bangalore.
🎓 B.Sc: 2002, Sheshadripuram First Grade College, Bangalore.

PROFESSIONAL EXPERIENCE

Dr. Shobha V has over two decades of teaching experience, with roles in renowned institutions. She began her career with two years at Dr. Ambedkar Institute of Technology, Bangalore, followed by three years at PES Engineering College, Bangalore. Since her appointment through KPSC in 2009, she has been serving as an Associate Professor and Head of the Department at Government First Grade College, Kengeri, Bangalore. Her experience spans teaching, research, academic leadership, and curriculum development. Dr. Shobha’s expertise in applied mathematics and engineering has been instrumental in shaping the educational experiences of countless students. She is known for her dedication to integrating innovative teaching methodologies and technology into education.

AWARDS AND HONORS

Dr. Shobha V has been recognized for her outstanding contributions to academia with the prestigious Uttam Acharya Puraskar, a National Award she received in 2019. This honor reflects her dedication to excellence in teaching, research, and academic leadership. In addition to this accolade, Dr. Shobha has been an active member of the academic community, serving on the Board of Examiners and Board of Studies at Bangalore University. She has also been invited to deliver special lectures and present research papers at national and international conferences, further highlighting her commitment to advancing education and research in applied mathematics and engineering.

RESEARCH FOCUS

Dr. Shobha V’s research centers on applied mathematics in engineering, with an emphasis on advanced methodologies like Statistical Analysis, Response Surface Methodology (RSM), and Sensitivity Analysis for system modeling. Her work seeks to bridge theoretical mathematics with practical applications in engineering, offering innovative solutions to complex problems. Dr. Shobha is particularly interested in integrating technology into education, leveraging digital tools to enhance learning experiences and foster academic growth. Her contributions include presenting research at conferences and publishing impactful studies, such as her recent work on electromagnetic convective flow past a rotating cone. Through her research, Dr. Shobha aims to drive advancements in mathematics, education, and engineering, ensuring that her findings benefit both academia and industry.

PUBLICATION TOP NOTES

📚 Analysis of thermophoresis and transpiration impacts on electromagnetic convective non-Darcy radiative flow past a rotating cone (Physics of Fluids, 2024).

CONCLUSION

Dr. Shobha V is a highly deserving candidate for the Best Researcher Award, with significant contributions to applied mathematics, engineering, and education. Her dedication to academic excellence, coupled with her impactful teaching and recognized research, makes her a strong contender. Addressing areas like interdisciplinary research, expanding her publication record, and engaging in funded projects could further bolster her candidacy and enhance her long-term impact in the field.

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