Sidra Jubair | Machine Learning | Best Researcher Award

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Ms. Sidra Jubair | Machine Learning | Best Researcher Award

Ph.D Student at Dalian University of Technology, China📖

Dr. Sidra Jubair is a dedicated researcher in the field of applied mathematics, currently pursuing her Ph.D. at the School of Mathematical Sciences, Dalian University of Technology, China, under the supervision of Prof. Jie Yang. Her research focuses on machine learning, computational fluid dynamics, and neurocomputing. With a strong academic background and numerous high-impact publications in top-tier journals, she is committed to advancing knowledge in data-driven scientific computation.

Profile

Scopus Profile

Google Scholar Profile

Education Background🎓

  1. Ph.D. in Applied Mathematics (2019 – Present)
    • Dalian University of Technology, China
    • Project: Imbalanced Data Learning through Examples and Classifiers
  2. M.Sc. in Applied Mathematics (2016 – 2018)
    • Hazara University, Pakistan
    • Supervised by Prof. Dr. Muhammad Shahzad
  3. B.Sc. in Mathematics (2011 – 2015)
    • International Islamic University, Islamabad, Pakistan

Professional Experience🌱

Dr. Sidra Jubair has extensive research experience in applied mathematics, focusing on the integration of computational intelligence with fluid dynamics. She has collaborated with researchers globally and contributed to high-impact scientific journals. Her work primarily revolves around machine learning applications in engineering and environmental sciences. Additionally, she has actively participated in international conferences and workshops, sharing her insights on topics such as neurocomputing and imbalanced data learning.

Research Interests🔬

Her research interests include:

  • Neurocomputing
  • Computational Fluid Dynamics
  • Imbalanced Data Learning
  • Machine Learning Applications in Engineering

Author Metrics

Dr. Sidra Jubair has established a strong research presence in the fields of applied mathematics, machine learning, and computational fluid dynamics. Her scholarly contributions have garnered significant recognition, with over 900 citations on Google Scholar, reflecting the impact and relevance of her work within the scientific community. She holds an H-index of 15, demonstrating the consistent influence and citation of her research, and an i10-index of 12, highlighting her ability to produce multiple highly cited publications. Dr. Jubair has published extensively in top-tier, high-impact journals, including Information Processing and Management, Alexandria Engineering Journal, and Applied Water Sciences, with impact factors reaching up to 7.4. Her research on imbalanced data learning and computational modeling has been widely acknowledged, contributing valuable insights to the advancement of data-driven scientific computation.

Publications Top Notes 📄

1. Mixed convective flow of hybrid nanofluid over a heated stretching disk with zero-mass flux using the modified Buongiorno model

  • Authors: B. Ali, N.K. Mishra, K. Rafique, S. Jubair, Z. Mahmood, S.M. Eldin
  • Journal: Alexandria Engineering Journal
  • Volume: 72
  • Pages: 83-96
  • Citations: 74
  • Year: 2023

2. Numerical simulation of the nanofluid flow consists of gyrotactic microorganism and subject to activation energy across an inclined stretching cylinder

  • Authors: H.A. Othman, B. Ali, S. Jubair, M. Yahya Almusawa, S.M. Aldin
  • Journal: Scientific Reports
  • Volume: 13, Issue 1
  • Article Number: 7719
  • Citations: 51
  • Year: 2023

3. MHD flow of nanofluid over moving slender needle with nanoparticles aggregation and viscous dissipation effects

  • Authors: B. Ali, S. Jubair, D. Fathima, A. Akhter, K. Rafique, Z. Mahmood
  • Journal: Science Progress
  • Volume: 106, Issue 2
  • Article Number: 00368504231176151
  • Citations: 42
  • Year: 2023

4. Boundary layer and heat transfer analysis of mixed convective nanofluid flow capturing the aspects of nanoparticles over a needle

  • Authors: B. Ali, S. Jubair, L.A. Al-Essa, Z. Mahmood, A. Al-Bossly, F.S. Alduais
  • Journal: Materials Today Communications
  • Volume: 35
  • Article Number: 106253
  • Citations: 38
  • Year: 2023

5. Numerical investigation of heat source induced thermal slip effect on trihybrid nanofluid flow over a stretching surface

  • Authors: B. Ali, S. Jubair, A. Aluraikan, M. Abd El-Rahman, S.M. Eldin, H.A.E.W. Khalifa
  • Journal: Results in Engineering
  • Volume: 20
  • Article Number: 101536
  • Citations: 37
  • Year: 2023

Conclusion

Dr. Sidra Jubair is a highly deserving candidate for the Best Researcher Award. Her outstanding research in applied mathematics, particularly in machine learning and computational fluid dynamics, has had a profound impact on both the academic and scientific communities. Her consistent publication in top-tier journals and strong research metrics underscore her ability to produce high-quality, impactful research. While there are opportunities for her to broaden the scope of her research through real-world applications and interdisciplinary collaborations, her current work demonstrates tremendous potential for further breakthroughs in applied mathematics and engineering.

Her dedication to advancing knowledge in data-driven scientific computation, coupled with her innovative approaches, makes her an ideal candidate for the Best Researcher Award.