Mudassar Razzaq | numerical simulation | Best Researcher Award

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Dr. Mudassar Razzaq | numerical simulation | Best Researcher Award

Research Associate, University of applied sciences Bochum, Germany.

Dr. Mudassar Razzaq is an experienced academic and researcher with over two decades of expertise in STEM education, specializing in applied mathematics, computational modeling, and fluid-structure interaction (FSI). He has worked extensively in both industry and academia, holding various leadership roles. His research integrates high-performance computing with simulation, focused on mathematical modeling of coupled problems. Dr. Razzaq has supervised numerous graduate and Ph.D. students and contributed to several international conferences. Currently, he is a Visiting Professor at the International School of Management, Germany, and a Research Lead at Bochum University of Applied Sciences, specializing in multiphase flow simulations.

Profile:

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Education 🎓

Dr. Mudassar Razzaq holds a Ph.D. in Applied Mathematics (Computational and Applied Mathematics) from the Technical University of Dortmund, Germany, where his dissertation focused on fluid-structure interaction using finite element methods. He completed his M.Phil. in Applied Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, specializing in fluid dynamics. He also earned an M.Sc. in Mathematics from Quaid-i-Azam University, with a focus on applied mathematics and statistics. His academic journey began with a B.Sc. in Mathematics and Physics from the University of Punjab, Lahore, Pakistan.

Professional Experience 💼

Dr. Razzaq’s career spans academic and industry roles. He is currently a Visiting Professor in Management Information Systems at the International School of Management, Germany. Previously, he served as an Assistant Professor at the Lahore University of Management Sciences (LUMS), Pakistan, where he taught various mathematics and engineering courses. His industry experience includes working as a Senior CFD Engineer at IANUS Simulation GmbH in Germany. He has also contributed to research at the Weierstrass Institute for Applied Analysis and Stochastic in Berlin and various other institutions in Germany.

Awards & Honors 🏆

Dr. Mudassar Razzaq has received several prestigious awards and fellowships throughout his career, including a faculty travel grant for the International Multigrid Conference in China (2019) and a faculty start-up research grant in 2017. He was awarded the HEC-DAAD scholarship for his Ph.D. studies, receiving significant funding for his research. He also co-led the ExtremSimOpt research project funded by the Federal Ministry of Education and Research (BMBF), Germany, in 2020. In 2021, he won the first prize for a poster presentation.

Research Focus 🔬

Dr. Razzaq’s research primarily revolves around computational and applied mathematics, with a focus on fluid-structure interaction (FSI), high-performance computing, and multiphysics simulations. His work includes the development of finite element simulation techniques and numerical solvers for FSI and CFD applications in bioengineering and optimization. He is particularly interested in modeling multiphase flows, thermodynamics, and the application of statistical and machine learning models in various scientific fields such as finance and engineering. His research is highly interdisciplinary, bridging mathematics, engineering, and data science.

Publications 📚

  1. Numerical benchmarking of fluid-structure interaction: A comparison of different discretization and solution approaches
  2. Numerical simulation and benchmarking of a monolithic multigrid solver for fluid-structure interaction problems with application to hemodynamics
  3. Finite element analysis of bi-viscosity fluid enclosed in a triangular cavity under thermal and magnetic effects
  4. FEM multigrid techniques for fluid–structure interaction with application to hemodynamics
  5. Finite element simulations for energy transfer in a lid-driven porous square container filled with micropolar fluid: Impact of thermal boundary conditions and Peclet number
  6. Numerical simulation and benchmarking of fluid-structure interaction with application to hemodynamics
  7. Computational approach on three-dimensional flow of couple-stress fluid with convective boundary conditions
  8. Finite element simulation techniques for incompressible fluid structure interaction with applications to bioengineering and optimization
  9. The impact of variable fluid properties on hydromagnetic boundary layer and heat transfer flows over an exponentially stretching sheet
  10. Simulation of intra‐aneurysmal blood flow by different numerical methods
  11. Numerical benchmarking of fluid-structure interaction between elastic object and laminar incompressible flow
  12. Numerical simulation of laminar incompressible fluid-structure interaction for elastic material with point constraints
  13. Analysis of biomagnetic blood flow in a stenosed bifurcation artery amidst elastic walls
  14. Numerical techniques for solving fluid-structure interaction problems with applications to bio-engineering
  15. A simplified finite difference method (SFDM) solution via tridiagonal matrix algorithm for MHD radiating nanofluid flow over a slippery sheet submerged in a permeable medium
  16. Multi-objective optimization of a fluid structure interaction benchmarking

Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

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Dr Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

Dr Madhavarao Kulkarni, B.V.V.Sangha Basaveshwar Science College Baglkot, India

Dr. Madhavarao Kulkarni is an accomplished Assistant Professor in the PG Department of Mathematics at B.V.V.’s Basaveshwar Science College, Bagalkot. With a Ph.D. from Karnatak University, Dharwad, his research focuses on computational fluid dynamics and numerical methods. Dr. Kulkarni has over five years of teaching experience and has worked on several impactful research projects, particularly in the realm of mixed convection nanofluid flows. His extensive publication record includes high-impact journals and he is actively involved in peer reviewing for leading journals.

Publication Profile

Scopus

Strengths for the Award

  1. Research Expertise and Impact:
    • Specialization: Dr. Kulkarni specializes in Computational Fluid Dynamics (CFD), focusing on mixed convection, nanofluids, and numerical methods. His research is published in reputable journals with high impact factors, such as International Communications in Heat and Mass Transfer (IF: 6.4) and Chinese Journal of Physics (IF: 5.0).
    • Diverse Publications: He has published 16 research articles in high-impact journals, indicating a strong and consistent contribution to his field. His work is indexed in SCIE, Scopus, and Web of Science, which further attests to the quality and recognition of his research.
  2. Teaching and Professional Experience:
    • Teaching Experience: With over 5 years of teaching experience at both undergraduate and postgraduate levels, he has taught a range of courses related to his field, including Numerical Methods and Computational Fluid Dynamics.
    • Training and Workshops: Dr. Kulkarni has actively participated in and presented at various conferences and workshops, enhancing his visibility and involvement in the academic community.
  3. Collaboration and Peer Review:
    • Collaborations: His collaborations with other researchers, including prominent names in the field, demonstrate his ability to work effectively in academic partnerships.
    • Reviewer: He serves as a reviewer for several reputed journals, which highlights his recognition by the academic community and his role in maintaining the quality of research.

Areas for Improvement

  1. Research Diversity:While Dr. Kulkarni has made significant contributions in CFD and nanofluids, expanding his research into related areas or interdisciplinary fields could enhance his profile. Exploring new and emerging topics within applied mathematics might also be beneficial.
  2. Grants and Awards:There is no mention of receiving major research grants or awards. Pursuing competitive research grants or applying for more prestigious awards could further bolster his credentials.
  3. Global Outreach:Engaging more with international research networks and contributing to high-profile global conferences could increase his visibility and impact on a broader scale.

 

Education

Dr. Madhavarao Kulkarni holds a Ph.D. in Applied Mathematics from Karnatak University, Dharwad, where he researched mixed convection nanoliquid flows. He completed his M.Sc. in Mathematics with distinction from Central University of Karnataka, Kalburgi, and his B.Sc. in Mathematics, Physics, and Computer Science with distinction from J.S.S. College, Dharwad. His academic journey reflects a strong foundation in mathematics and computational techniques.

Awards and Honors

Dr. Kulkarni’s research excellence has earned him recognition in various international conferences and workshops. He has been an active participant and presenter at prestigious events like the International Conference on Applied and Computational Mathematics and the Annual Conference of the Ramanujan Mathematical Society. His work is widely cited in the field of computational fluid dynamics.

Research Focus

Dr. Kulkarni’s research concentrates on computational fluid dynamics, particularly mixed convection flows involving nanofluids. His work explores the behavior of Newtonian and non-Newtonian fluids under various conditions using numerical methods like the finite difference method. His contributions are crucial in understanding complex fluid dynamics problems, including heat and mass transfer phenomena.

Publication Top Notes

Influence of activation energy and multi-diffusive quadratic convective nanoliquid flow past a cone and wedge 🌐

Influence of oscillatory magnetic field with mixed convection driven Sutterby nanofluid flow over a stretching cylinder 🌐

Numerical investigation of mixed convective Williamson nanofluid flow over a stretching/shrinking wedge in the presence of chemical reaction parameter and liquid hydrogen diffusion 🌐

Double diffusive mixed convective flow over a wedge and cone in the presence of Brownian diffusion and thermophoresis parameter 🌐

Mixed convective magnetized GOMoS2/H2O hybrid nanofluid flow about a permeable rotating disk 🌐

Effects of surface roughness and thermal radiation on mixed convective (GO–MoS2/H2O–C2H6O2) hybrid nanofluid flow past a permeable cone 🌐

MHD quadratic mixed convective Eyring-Powell nanofluid flow with multiple diffusions 🌐

Analysis of activation energy and hydromagnetic effects on triple diffusive quadratic mixed convective nanoliquid flow over a slender cylinder 🌐

Conclusion

Dr. Madhavarao Kulkarni is a strong candidate for the Research for Best Researcher Award. His substantial contributions to the field of Computational Fluid Dynamics, along with his robust publication record and teaching experience, make him a commendable researcher. To further enhance his candidacy, he could focus on broadening his research scope, seeking additional funding and awards, and increasing his global academic presence.