Naeem Faraz | Mathematics | Best Faculty Award

Prof. Naeem Faraz | Mathematics | Best Faculty Award

Professor at University of Shanghai for Science and Technology, China

Dr. Naeem Faraz is a distinguished academic and researcher with dual Ph.D.s in Computational Mathematics and Textile Engineering, specializing in interdisciplinary research that bridges mathematics, engineering, and data science. As a Foreign Expert at Donghua University, Shanghai, China, he has supervised numerous undergraduate and graduate theses while delivering lectures to students from 60+ nationalities. His contributions extend to developing innovative courses and conducting research in applied mathematics, fluid dynamics, and textile engineering. With over 75 publications in high-impact factor journals, his research has significantly contributed to nanotechnology, heat transfer, and statistical modeling. In addition to his academic contributions, Dr. Faraz has actively participated in national and international research projects, showcasing his expertise in computational tools and data analytics. His career is marked by an unwavering commitment to advancing scientific knowledge and mentoring the next generation of researchers, making him a highly respected figure in his field.

Professional Profile

Education

Dr. Naeem Faraz holds an impressive academic background with dual doctorates in Computational Mathematics from Shanghai University, China, and Textile Engineering from Donghua University, China. His Ph.D. research in mathematics focused on viscoelastic flows of PTT fluids, while his doctoral work in textile engineering explored bubble electrospinning for fabricating nanoporous fibers and their mathematical analysis. Before obtaining his Ph.D.s, he earned an M.Phil. in Fluid Mechanics from Quaid-i-Azam University, Islamabad, Pakistan, where he analyzed the thin film flow of an unsteady shrinking sheet through a porous medium. Additionally, he completed an M.Sc. in Applied Mathematics and a B.Sc. in Applied Mathematics & Statistics from leading Pakistani institutions. His educational foundation in mathematics, statistics, and engineering has provided him with the analytical and computational expertise to engage in interdisciplinary research across multiple scientific domains.

Professional Experience

Dr. Naeem Faraz has built a robust academic and research career, serving as a Foreign Expert at Donghua University, China, since 2016. In this role, he has been actively involved in lecturing, supervising research projects, and mentoring students. Prior to this, he completed a Post-Doctoral Fellowship at the Institute of Mathematics and Mechanics, Shanghai University, where he conducted advanced research in computational mathematics. His responsibilities extend beyond teaching, including course development, research supervision, and participation in professional conferences. Dr. Faraz has also contributed to various national and international research collaborations, particularly in applied mathematics, textile engineering, and data analytics. His diverse expertise enables him to work across disciplines, integrating fluid mechanics, nanotechnology, and computational simulations to address complex scientific problems. He has also been involved in training junior lecturers and teaching assistants, ensuring the growth of the academic community through knowledge sharing and mentorship.

Research Interests

Dr. Naeem Faraz’s research spans multiple disciplines, including fluid mechanics, heat transfer, nanotechnology, and data science. He specializes in natural convection and conduction analysis, investigating the effects of nanofluids on heat transfer and the behavior of phase change materials in thermal energy systems. His expertise in fiber fabrication and nanotechnology extends to electrospinning of nanoporous fibers and their mechanical properties. Additionally, he focuses on fluid dynamics, particularly the behavior of Newtonian and non-Newtonian fluids, using computational simulations and mathematical modeling. His work in data science and statistical analysis integrates machine learning techniques to predict and optimize fluid behaviors and thermal efficiency, making his research highly relevant to modern scientific advancements. His interdisciplinary approach enables him to bridge gaps between engineering, mathematics, and computational sciences, further enhancing the applicability of his research.

Awards and Honors

Dr. Naeem Faraz has received numerous accolades throughout his academic career, recognizing his contributions to research and education. His Web of Science Citation Index (SCI) exceeds 1254, with an h-index of 28, reflecting his significant impact in the scientific community. His research achievements have earned him a Cumulative Impact Factor exceeding 125, highlighting the quality of his published work. He has been awarded the Best International Student Award, along with multiple merit-based scholarships during his M.Phil. studies. He also secured CSC and SGS scholarships during his doctoral studies, emphasizing his academic excellence. Additionally, Dr. Faraz ranked first in his college during both B.Sc. and F.Sc., demonstrating his consistent dedication to academic success. His international reputation, scholarly impact, and academic excellence make him a leading researcher in his field, further cementing his legacy as an outstanding educator and scientist.

Conclusion

Dr. Naeem Faraz is a highly qualified, well-published, and interdisciplinary researcher with a strong record in academia. His contributions in research, teaching, and international collaborations make him a very strong contender for the Research for Best Faculty Award. With further leadership roles and independent funding, he could further solidify his standing as an elite academic researcher.

Publications Top Notes

  1. Review on fiber morphology obtained by bubble electrospinning and blown bubble spinning

    • Authors: JH He, HY Kong, RR Yang, H Dou, N Faraz, L Wang, C Feng

    • Year: 2012

    • Citations: 199

  2. The effects of variable viscosity and thermal conductivity on a thin film flow over a shrinking/stretching sheet

    • Authors: Y Khan, Q Wu, N Faraz, A Yildirim

    • Year: 2011

    • Citations: 187

  3. An effective modification of the homotopy perturbation method for MHD viscous flow over a stretching sheet

    • Authors: M Fathizadeh, M Madani, Y Khan, N Faraz, A Yıldırım, S Tutkun

    • Year: 2013

    • Citations: 117

  4. Fractional variational iteration method via modified Riemann–Liouville derivative

    • Authors: N Faraz, Y Khan, H Jafari, A Yildirim, M Madani

    • Year: 2011

    • Citations: 92

  5. Application of modified Laplace decomposition method for solving boundary layer equation

    • Authors: Y Khan, N Faraz

    • Year: 2011

    • Citations: 86

  6. Fractional variational iteration method for fractional initial-boundary value problems arising in the application of nonlinear science

    • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

    • Year: 2011

    • Citations: 83

  7. Exp‐function method for solitary and periodic solutions of Fitzhugh‐Nagumo equation

    • Authors: S Tauseef Mohyud‐Din, Y Khan, N Faraz, A Yıldırım

    • Year: 2012

    • Citations: 76

  8. An auxiliary parameter method using Adomian polynomials and Laplace transformation for nonlinear differential equations

    • Authors: Y Khan, H Vazquez-Leal, N Faraz

    • Year: 2013

    • Citations: 69

  9. Numerical solution of logistic differential equations by using the Laplace decomposition method

    • Authors: S Islam, Y Khan, N Faraz, F Austin

    • Year: 2010

    • Citations: 69

  10. New soliton solutions of the generalized Zakharov equations using He’s variational approach

  • Authors: Y Khan, N Faraz, A Yildirim

  • Year: 2011

  • Citations: 67

  1. Analytical approach to two-dimensional viscous flow with a shrinking sheet via variational iteration algorithm-II

  • Authors: N Faraz, Y Khan, A Yildirim

  • Year: 2011

  • Citations: 63

  1. A new fractional analytical approach via a modified Riemann–Liouville derivative

  • Authors: Y Khan, Q Wu, N Faraz, A Yildirim, M Madani

  • Year: 2012

  • Citations: 61

  1. A coupling method of homotopy perturbation and Laplace transformation for fractional models

  • Authors: Y Khan, N Faraz, S Kumar, A Yildirim

  • Year: 2012

  • Citations: 52

  1. Thin film flow of a second grade fluid over a stretching/shrinking sheet with variable temperature-dependent viscosity

  • Authors: S Nadeem, N Faraz

  • Year: 2010

  • Citations: 51

  1. A series solution of the long porous slider

  • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

  • Year: 2011

  • Citations: 47

  1. A new approach to differential difference equations

  • Authors: Y Khan, N Faraz

  • Year: 2010

  • Citations: 46

  1. Analytical solution of electrically conducted rotating flow of a second grade fluid over a shrinking surface

  • Authors: N Faraz, Y Khan

  • Year: 2011

  • Citations: 43

  1. Heat transfer analysis on the magnetohydrodynamic flow of a non-Newtonian fluid in the presence of thermal radiation: an analytic solution

  • Authors: Y Khan, Q Wu, N Faraz, A Yıldırım, ST Mohyud-Din

  • Year: 2012

  • Citations: 38

  1. A new approach to Van der Pol’s oscillator problem

  • Authors: Y Khan, M Madani, A Yildirim, MA Abdou, N Faraz

  • Year: 2011

  • Citations: 37

  1. An efficient new perturbative Laplace method for space-time fractional telegraph equations

  • Authors: Y Khan, J Diblík, N Faraz, Z Šmarda

  • Year: 2012

  • Citations: 36

 

Huaqing Li | Mathematical analysis | Best Researcher Award

Prof. Huaqing Li | Mathematical analysis | Best Researcher Award

Professor, Southwest University, China

Professor Huaqing Li is a leading figure in the field of Electronic and Information Engineering at Southwest University, China. He holds a senior academic role as a professor and has been influential in shaping advancements in distributed optimization, swarm intelligence, and control systems. As Vice Dean of the College of Electronic and Information Engineering, he contributes to both administrative and academic leadership, with a strong focus on integrating theory and practical applications in cutting-edge research.

Profile

Scopus

Education 🎓

Professor Li began his academic journey with a Bachelor’s degree in Information and Computational Science from Chongqing University of Posts and Telecommunications (2005-2009). He went on to earn a Doctor of Science in Computer Science and Technology from Chongqing University (2009-2013), where he specialized in control theory and nonlinear circuits. His rigorous education laid the groundwork for his significant contributions to electronic engineering and multi-agent system optimization.

Experience 💼

Professor Li has accumulated extensive experience in academia and research. Since 2018, he has been a professor at Southwest University and currently serves as Vice Dean. His roles have included being the Director of the Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing and Deputy Director of the National Local Joint Engineering Research Center for Intelligent Transmission and Control Technology. With international experience as a Visiting Scholar at Texas A&M University, Qatar, his career spans research, teaching, and academic leadership.

Research Interests 🔍

Professor Li’s research focuses on swarm intelligence, distributed optimization, multi-agent systems, and nonlinear circuits. His work involves developing algorithms for control and optimization in complex networks and intelligent systems. He is particularly interested in applications of game theory, consensus dynamics, and asynchronous control mechanisms. This research has wide-reaching implications for the fields of cyber-physical systems and intelligent signal processing.

Awards and Honors 🏆

Professor Li’s academic excellence has been widely recognized with numerous prestigious awards. Some highlights include the Young Scholars Changjiang Scholar Award Program (2023), the First Prize in the Chongqing Association for Science and Technology’s Job Innovation Striving Action (2023), and Elsevier China’s Highly Cited Scholar (2020-2023). He has also been recognized globally, appearing in Top 2% of Global Scientists Rankings (2022-2023) and Top 100,000 Scientists with Global Academic Influence (2022).

Selected Publications 📚

Li, H., et al. “A Unified Approach to Chaos Suppressing and Inducing in a Periodically Forced Family of Nonlinear Oscillators.” IEEE Transactions on Circuits and Systems-I, 2012.

Li, H., Chen, G., Liao, X., Huang, T. “Attraction Region Seeking for Power Grids.” IEEE Transactions on Circuits and Systems-II, 2017.

Li, H., Zheng, L., Wang, Z., Ji, L., Xia, D. “Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems.” IEEE Transactions on Signal and Information Processing over Networks, 2021.

Li, H., Liao, X., Lei, X., Huang, T., Zhu, W. “Second-Order Consensus Seeking in Multi-Agent Systems with Nonlinear Dynamics.” IEEE Transactions on Circuits and Systems-I, 2013.