Naeem Faraz | Mathematics | Best Faculty Award

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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

 

JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

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Dr. JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Profesor-Investigador, Universidad Anahuac México, Mexico

José Daniel López Barrientos is a distinguished researcher and educator in the fields of Basic Mathematics, Stochastic Control, and Game Theory. Currently, he is a part-time researcher at the Bachelor’s Programme in Actuarial Sciences at the Benemérita Universidad Autónoma de Puebla and a full-time researcher and teacher at the Universidad Anáhuac México. With a career marked by notable academic and research achievements, López Barrientos has significantly contributed to the fields of probability and risk theory.

Profile

Orcid

Research for “Best Researcher Award”

Strengths for the Award

José Daniel López Barrientos stands out as a prominent figure in the fields of Stochastic Control, Game Theory, and Probability and Risk Theory. His significant contributions to mathematical research and actuarial sciences are evidenced by his extensive academic and professional accomplishments:

Educational Background: López Barrientos holds a PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, which underscores his solid foundation in advanced mathematical concepts.

Research Excellence: His publications in high-impact journals such as Results in Control and Optimization and Cybernetics and Systems demonstrate his deep expertise and innovative approach in stochastic processes and game theory. Noteworthy recent works include studies on variance optimality in stochastic differential games and robust statistical estimation.

Professional Experience: With a rich background as a researcher and educator, he has held positions at renowned institutions including Universidad Anáhuac México and Saint Petersburg State University. His roles span from part-time teaching to research coordination and academic leadership, reflecting his versatility and commitment to advancing the field.

Grants and Honors: López Barrientos has received notable recognition such as membership in the Mexican Academy of Sciences and a distinguished award from the Consejo Mexiquense de Ciencia y Tecnología. These accolades are a testament to his influence and contributions to actuarial science and mathematics.

Areas for Improvement

While López Barrientos’ achievements are impressive, there are areas where further growth could enhance his already distinguished profile:

Broader Interdisciplinary Collaboration: Engaging in interdisciplinary research could open new avenues for innovation, integrating his expertise in stochastic control and game theory with emerging fields such as data science or artificial intelligence.

Increased Public Engagement: Greater involvement in public outreach and science communication could amplify the impact of his research. By translating complex mathematical concepts into accessible formats, he could broaden his influence beyond academic circles.

Expanded Research Funding: Securing additional research grants from international bodies could support more extensive projects and collaborative efforts, further advancing his research agenda and fostering new discoveries.

Education 🎓

José Daniel López Barrientos earned his PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional in 2012. He also holds a Master of Sciences in Mathematics from the same institution, completed in 2006, and a Bachelor’s degree in Actuarial Sciences from Universidad Anáhuac México, achieved in 2003. Additionally, he passed the Society of Actuaries’ exam on “Mathematical Foundations of Actuarial Science” in 2002.

Experience 💼

López Barrientos has a rich professional background that includes roles as:

  • Academic Coordinator of the Masters in Risks at Universidad Anáhuac México (2022).
  • Post-doctoral Fellow at Saint Petersburg State University (2017-2018) and Université de Montréal (2015-2016).
  • Full-time Teacher and Researcher at Universidad La Salle (2011-2014) and Chair of the Actuarial Sciences undergraduate program.
  • Part-time Teacher at various institutions including Universidad Nacional Autónoma de México and Universidad Autónoma del Estado de México.
  • Software Developer at Bufete Matemático Actuarial (2002-2004).

Research Interest 🔍

José Daniel López Barrientos focuses on Basic Mathematics, Stochastic Control and Game Theory, and Probability and Risk Theory. His research explores complex mathematical models and their applications, particularly in stochastic processes and optimal control problems.

Awards 🏆

  • 2024: Member of the Mexican Academy of Sciences.
  • 2023: Second place in the “Fundadores” prize by the Asociación Mexicana de Actuarios.
  • 2023: Distinguished by the Consejo Mexiquense de Ciencia y Tecnología for his paper on robust statistical estimation.

Publications Top Notes📚

López-Barrientos, José Daniel; Plata Gallegos, Humberto (2024). Una nueva aproximación a la constitución de una reserva actuarial de arriba p’abajo Actuarios Trabajando, 15: 1-24.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

López-Barrientos, José Daniel (2023). Constrained Stochastic Differential Games with Markovian Switchings and Additive Structure: The Total Expected Payoff Results in Control and Optimization, DOI: 10.1016/j.rico.2023.100288.

López-Barrientos, José Daniel (2023). On the Discrete-Time Minimum Principle in Multiple-Mode Systems Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175492.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

Conclusion

José Daniel López Barrientos is a highly qualified candidate for the “Best Researcher Award,” distinguished by his groundbreaking research, extensive academic experience, and notable honors. His contributions to stochastic control, game theory, and risk theory have significantly impacted the field, demonstrating a commitment to excellence in both research and education. Addressing areas for further growth, such as interdisciplinary collaboration and public engagement, could enhance his already impressive career and broaden his influence.