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

 

Anil Sharma | Pure Mathematics | Best Researcher Award

Assist Prof Dr. Anil Sharma | Pure Mathematics | Best Researcher Award

Assistant Professor, Chandigarh University, India

Dr. Anil Sharma, an accomplished mathematician and Assistant Professor, specializes in Differential Geometry and Mathematical Physics. With a Ph.D. in Mathematics from the Central University of Himachal Pradesh, he brings substantial expertise to his role at Chandigarh University, Punjab, India, where he contributes to the academic and research community in advanced mathematics.

Profile

Scopus

Education 🎓

Dr. Sharma’s academic journey began with a B.Sc. in Mathematics and Computers from Himachal Pradesh University, followed by an M.Sc. in Mathematics (2013) and a Ph.D. in Mathematics (2018) from the Central University of Himachal Pradesh. His research focused on the “Geometry of Warped Products as Pseudo-Riemannian Submanifolds and Related Problems.”

Experience 🏫

Dr. Sharma has served as an Assistant Professor at Chandigarh University (2021–present), Symbiosis International University (2020–2021), and Lovely Professional UniverPure Mathematicssity (2017–2019). His roles have involved teaching mathematics at undergraduate and postgraduate levels and conducting research in Differential Geometry. Additionally, he has held a Teaching Assistant position at the Central University of Himachal Pradesh, where he mentored students in problem-solving and theoretical discussions.

Research Interest 🔍

Dr. Sharma’s research focuses on Differential Geometry, specifically the study of warped product submanifolds within Pseudo-Riemannian spaces. His work also extends to areas of Analysis and Mathematical Physics, with applications in complex structures like Kaehler and paracosymplectic manifolds, further advancing mathematical understanding in these fields.

Awards and Honors 🏅

Dr. Sharma’s accolades include being a school topper in 2006 and receiving a prestigious University Fellowship during his Ph.D. (2014–2017). His contributions to academia are recognized in the mathematical community, where he actively participates in conferences and workshops, sharing his knowledge and insights.

Publications Top Notes 📚

Sharma, A., Srivastava, S. K. “Pointwise Pseudo-slant Warped Product Submanifolds in a Kaehler Manifold.” Mediterranean Journal of Mathematics, 2016. DOI

Sharma, A., Srivastava, S. K. “Geometry of PR-semi-invariant warped product submanifolds in paracosymplectic manifold.” Journal of Geometry, 2016. DOI

Sharma, A., Srivastava, S. K. “A general optimal inequality for warped product submanifolds in paracosymplectic manifolds.” Note di Matematica, 2017. DOI

Sharma, A., Uddin, S., Srivastava, S. K. “Non-existence of PR-semi slant warped product submanifolds in paracosymplectic manifolds.” Arabian Journal of Mathematics, 2018. DOI

Sharma, A., Kumar, A. “Chen type inequality for sequential warped product submanifolds of nearly Kahler manifolds.” Asian-European Journal of Mathematics, 2022. DOI

Huaqing Li | mathematical analysis | Best Researcher Award

Prof. Huaqing Li | mathematical analysis | Best Researcher Award

Professor, Southwest University, China

Huaqing Li is a distinguished Professor in the College of Electronic and Information Engineering at Southwest University, where he leads groundbreaking research in control systems and artificial intelligence. He has significantly contributed to the field, focusing on swarm intelligence, distributed algorithms, and signal processing. With a strong academic background and extensive teaching experience, Huaqing continues to inspire the next generation of engineers. 🌟

Publication Profile

Google Scholar

Education

Huaqing Li earned his Doctor of Science in Computer Science and Technology from Chongqing University in China (2013) after completing his Bachelor of Engineering in Information and Computational Science at Chongqing University of Posts and Telecommunications (2009). 🎓

Experience

Currently serving as Vice Dean of the School of Electronic and Information Engineering, Huaqing has held several key positions, including Deputy Director of the National Local Joint Engineering Research Center for Intelligent Transmission and Control Technology. He has also been a Visiting Scholar at Texas A&M University in Qatar and has accumulated valuable experience through postdoctoral fellowships at Nanyang Technological University and the University of Sydney. 🌐

Research Focus

Huaqing’s research centers on the theory and applications of collaborative control, optimization in swarm intelligence systems, and distributed intelligent signal processing methods. His work integrates game theory with engineering to enhance system stability and performance. 🔬

Awards and Honors

Huaqing has received numerous accolades, including the Young Scholars recognition from the Ministry of Education’s “Changjiang Scholar Award Program” in 2023, the Second Prize of the Chongqing Natural Science Award in 2021, and the First Prize from the Chongqing Association for Science and Technology in 2023. His global influence has been recognized as he ranks among the top 2% of scientists worldwide in the engineering and technology fields. 🏆

Publication Highlights

Huaqing Li has authored several impactful publications, including:

“A Unified Approach to Chaos Suppressing and Inducing in a Periodically Forced Family of Nonlinear Oscillators,” IEEE Transactions on Circuits and Systems-I: Regular Papers (2012). [Cited by: 121]

“Attraction Region Seeking for Power Grids,” IEEE Transactions on Circuits and Systems-II: Express Briefs (2017). [Cited by: 65]

“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). [Cited by: 42]

“Second-Order Consensus Seeking in Multi-Agent Systems with Nonlinear Dynamics over Random Switching Directed Networks,” IEEE Transactions on Circuits and Systems-I: Regular Papers (2013). [Cited by: 59]

“Second-Order Locally Dynamical Consensus of Multiagent Systems with Arbitrarily Fast Switching Directed Topologies,” IEEE Transactions on Systems, Man, and Cybernetics: Systems (2013). [Cited by: 89]