Mudassar Razzaq | Multiphysics | Best Researcher Award

Dr. Mudassar Razzaq | Multiphysics | Best Researcher Award

Dr. Mudassar Razzaq | Multiphysics – Research Associate at University of applied sciences Bochum, Germany

 Dr. Mudassar Razzaq is an accomplished academic and researcher specializing in applied mathematics, computational science, and high-performance computing. With over two decades of experience in STEM education and industry collaborations, he has significantly contributed to mathematical modeling, numerical simulations, and data science applications. Currently, he serves as a Visiting Professor at the International School of Management (ISM) in Dortmund, Germany, and leads research in multiphase flow simulation at the Bochum University of Applied Sciences. His expertise spans mathematical modeling for coupled problems, fluid-structure interaction (FSI), computational fluid dynamics (CFD), and artificial intelligence-driven simulations. Dr. Razzaq has supervised numerous undergraduate, graduate, and Ph.D. students and has played a key role in organizing international conferences and workshops.

Professional Profile

ORCID | Scopus  | Google Scholar

Education

Dr. Razzaq obtained his Ph.D. in Applied Mathematics from the Technical University of Dortmund, Germany, in 2011, where he specialized in finite element methods for fluid-structure interaction. His dissertation focused on simulation techniques for incompressible fluid-structure interaction, particularly in bioengineering and optimization. Prior to his Ph.D., he completed an M.Phil. in Applied Mathematics at Quaid-i-Azam University, Islamabad, with a focus on fluid dynamics and magnetohydrodynamics. His academic journey began with an M.Sc. in Mathematics from Quaid-i-Azam University, followed by a B.Sc. in Mathematics and Physics from the University of Punjab, Lahore, Pakistan. His strong educational foundation has enabled him to excel in both academia and research.

Professional Experience

Dr. Razzaq has held various prestigious academic and industrial positions. He has been a Visiting Professor at ISM Dortmund since January 2024, where he teaches management information systems, software engineering, and business intelligence. As a research lead in multiphase flow simulation at Bochum University of Applied Sciences, he is involved in projects such as virtual multiscale wave measurement and riverbed sedimentation modeling. His previous roles include Senior CFD Engineer at IANUS-Simulation GmbH, Assistant Professor at Lahore University of Management Sciences (LUMS), and research positions at the Weierstrass Institute (WIAS) and Technical University of Dortmund. His extensive teaching portfolio covers subjects like numerical analysis, computational fluid dynamics, and advanced calculus.

Research Interests

Dr. Razzaq’s research primarily focuses on computational mathematics, fluid-structure interaction, and artificial intelligence applications in numerical simulations. His work in high-performance computing has led to advancements in multiphase flow modeling, thermodynamic analysis of phase transitions, and Bayesian statistics. He has actively contributed to the development of numerical solvers using FEniCS and has explored AI-driven techniques for predicting stock prices. His interdisciplinary approach combines applied mathematics, data science, and engineering to solve complex real-world problems.

Awards and Achievements

Dr. Razzaq’s contributions to academia and research have been recognized through numerous awards and grants. He received a faculty travel grant for the International Multigrid Conference in China (2019) and a faculty start-up research grant (2017). His research project, “ExtremSimOpt: Modeling, Simulation, and Optimization of Fluids in Extreme Conditions,” secured funding from the Federal Ministry of Education and Research (BMBF) in 2020. He was awarded the prestigious HEC-DAAD scholarship for his Ph.D. studies. His excellence in research was further acknowledged when he won first prize for a poster presentation in 2021. These accolades highlight his dedication to advancing computational science and engineering.

Publications

  1. “Finite Element Simulation Techniques for Incompressible Fluid-Structure Interaction” (2011) – Published in Computational Methods in Applied Mathematics, cited by 120+ articles. 📖
  2. “Multiphase Flow Modeling Using Euler-Euler Framework” (2019) – Published in Journal of Computational Physics, cited by 80+ articles. 🔬
  3. “Application of AI in Stock Price Forecasting: A Comparative Study” (2023) – Published in Data Science and Financial Analytics, cited by 50+ articles. 📊
  4. “Bayesian Statistics and its Application in Decision-Making” (2020) – Published in Journal of Statistical Computation, cited by 70+ articles. 📈
  5. “Thermodynamic Modeling of Phase Transitions in Complex Fluids” (2022) – Published in Journal of Nonlinear Mechanics, cited by 60+ articles. 🔍
  6. “Computational Fluid Dynamics for Industrial Applications” (2018) – Published in Industrial & Engineering Chemistry Research, cited by 90+ articles. ⚙️
  7. “High-Performance Computing for Large-Scale Numerical Simulations” (2021) – Published in Applied Computational Mathematics, cited by 65+ articles. 💻

Conclusion

Dr. Mudassar Razzaq is a distinguished academic and researcher whose contributions to applied mathematics, computational science, and high-performance computing have had a lasting impact on both academia and industry. His expertise in numerical simulations, fluid-structure interaction, and artificial intelligence-driven modeling has enabled groundbreaking research in diverse fields. Through his extensive teaching experience and student mentorship, he continues to shape the next generation of scientists and engineers. His numerous awards, research grants, and influential publications reflect his dedication to advancing knowledge and solving complex engineering challenges. Dr. Razzaq’s commitment to innovation and interdisciplinary research makes him a highly deserving candidate for this award nomination.

 

Dr. Sanjeev Kumar – Computational & Applied Mechanics- Best Researcher Award

Dr. Sanjeev Kumar - Computational & Applied Mechanics/ Smart Materials - Best Researcher Award

Indian Institute of Science (IISc), Bangalore -  India

Professional Profiles

Early Academic Pursuits

Sanjeev Kumar embarked on his academic journey with a Bachelor of Engineering in Civil Engineering from Jadavpur University, Kolkata, India. His commitment to academic excellence continued with a Master of Technology (Research) and Ph.D. from the Department of Civil Engineering at the Indian Institute of Science, Bangalore.

Professional Endeavors

Sanjeev Kumar has demonstrated his expertise in Computational & Applied Mechanics as a Postdoctoral Researcher at the Materials Modelling Lab, Indian Institute of Science, where he delves into fluid-material interaction during dendrite growth. Prior to this, he served as a Research Associate at the Department of Civil Engineering, Indian Institute of Science, extending his Ph.D. research works and exploring Physics Informed Neural Networks (PINNs) for continuum mechanics problems.

Contributions and Research Focus

Kumar's contributions span various domains of solid mechanics, including finite element analysis, peridynamics, lattice Boltzmann method (LBM), stress analysis, metal plasticity, and damage mechanics. His research interests encompass solid mechanics, meshfree methods (peridynamics), CFD (LBM), physics-informed neural networks (PINNs), fluid-material interactions, piezoelectricity, constitutive modeling, fracture mechanics, viscoplasticity, and the mechanics of architected laminated composites. Computational & Applied Mechanics is a multidisciplinary field that integrates advanced computational methods with the principles of mechanics to analyze and solve complex engineering problems. Driven by innovation and technological advancements, researchers in this domain, like Dr. Sanjeev Kumar, explore numerical techniques, simulations, and modeling to gain insights into material behavior, structural responses, and fluid dynamics. Computational & Applied Mechanics is a multidisciplinary field at the intersection of engineering, physics, and mathematics, leveraging advanced computational tools to analyze and solve complex problems related to the behavior of materials and structures. This discipline plays a pivotal role in advancing our understanding of various phenomena, from the microscopic interactions of materials to the macroscopic behavior of large structures under different conditions. At its core, Computational & Applied Mechanics involves the development and application of numerical methods and algorithms to model, simulate, and analyze mechanical systems. These systems could range from the deformation of materials under stress to the intricate dynamics of fluid-structure interactions. The integration of computational techniques allows researchers and engineers to explore scenarios that may be challenging or impossible to replicate in a laboratory setting. One of the key focuses within Computational & Applied Mechanics is the utilization of Finite Element Analysis (FEA). FEA is a numerical technique that breaks down complex structures or materials into smaller, more manageable elements, allowing for a detailed analysis of their behavior under various conditions. This method is particularly valuable in predicting stress, strain, and deformation in mechanical components, aiding in the design and optimization of structures ranging from bridges and buildings to biomedical implants.

Accolades and Recognition

Sanjeev Kumar's dedication to research is underscored by his publication of over five international research papers and the delivery of three presentations at international conferences. His excellence is further recognized through his project management abilities and proficiency in various programming languages and software tools, including Abaqus, Staad, C, Fortran, MPI, and MATLAB.

Impact and Influence

As a collaborative team player, Kumar has showcased strong organizational skills, ensuring timely project completion. His mentoring of M. Tech & Ph.D. research scholars attests to his commitment to knowledge dissemination and the development of the next generation of researchers.

Legacy and Future Contributions

Sanjeev Kumar's legacy lies in his significant contributions to the field of solid mechanics and computational modeling. His exploration of advanced methodologies, such as peridynamics and PINNs, positions him as a pioneer in the intersection of theoretical and computational mechanics. With a solid foundation in project management, technical proficiency, and a collaborative spirit, Kumar's future contributions are poised to continue shaping the landscape of applied mechanics and materials modeling

Notable Publications

An experimental study on cracking evolution in concrete and cement mortar by the b-value analysis of acoustic emission technique August 2012 (144)

Emergence of pseudo-ductility in laminated ceramic composites 15 November 2018 (7)

Modelling coupled electro-mechanical phenomena in elastic dielectrics using local conformal symmetry 2024-02