Dr. Dilawar Hussain| Fluid Mechanics | Best Researcher Award
Dr. Dilawar Hussain is a Postdoctoral Researcher at Nanjing University of Aeronautics and Astronautics, China. He earned his Ph.D. in Mathematics from International Islamic University Islamabad, specializing in sensitivity analysis of fluid flows. His research interests include sensitivity analysis of Newtonian and Non-Newtonian fluids, mathematical modeling, and data visualization using advanced computational methods. With experience in academia and research, Dr. Hussain has published extensively in international journals and has collaborated with researchers globally. His recent work involves optimization and analysis of fluid dynamics and MHD effects. He is skilled in MATLAB, ANSYS, and Python, among other tools.
Publication profile
Research for Best Researcher Award Evaluation
Strengths for the Award
Strong Educational Background: Dr. Dilawar Hussain holds a Ph.D. in Mathematics with a focus on fluid dynamics, supported by a solid academic foundation in both MS and BS degrees. His thesis topics show a depth of understanding in complex mathematical modeling and sensitivity analysis. Relevant Research Contributions: Dr. Hussainās research spans sensitivity analysis of Newtonian and Non-Newtonian fluids using advanced methodologies like Response Surface Methodology (RSM) and Artificial Neural Networks (ANN). His publications in reputable journals such as International Communications in Heat and Mass Transfer and Numerical Heat Transfer indicate significant contributions to the field. Diverse Research Interests: His interests cover a broad spectrum, including MHD fluids, computational fluid dynamics (CFD), and data visualization. This versatility demonstrates his capability to tackle various complex problems and contribute innovatively to the field. Experience and Roles: Dr. Hussain has experience in multiple academic roles, including research fellow, lecturer, and visiting lecturer. His involvement in both teaching and research underscores his comprehensive expertise and ability to convey complex concepts effectively. Collaborations and Publications: His international research collaborations and numerous publications reflect a strong network and recognition in the global research community. Collaborations with researchers from Saudi Arabia and China further extend his influence and contribution to international research.
Areas for Improvement
Broader Impact: While Dr. Hussain has a solid research record, increasing the practical applications of his research findings could enhance his impact. Engaging in applied research or real-world problem-solving projects could bridge the gap between theoretical studies and practical implementation. Interdisciplinary Work: Expanding research to interdisciplinary fields could provide new perspectives and innovative solutions. Integrating his mathematical expertise with fields like engineering, physics, or environmental sciences might lead to novel insights and applications. Increased Public Engagement: Greater visibility through public lectures, workshops, or media interactions could improve his profile and influence. Enhancing engagement with broader audiences could also foster collaboration and highlight the societal relevance of his work.
š Education
PhD in Mathematics (2019-2023) Institution: International Islamic University Islamabad, Islamabad, Pakistan. Thesis Title: Sensitivity Analysis of Wedge Flows for Newtonian and Non-Newtonian Fluids Grade/CGPA: 3.86/4.00. MS in Mathematics (2016-2018) Institution: International Islamic University Islamabad, Islamabad, Pakistan Thesis Title: Effect of Magnetic Dipole on Flow of Non-Newtonian Ferro Fluids. Grade/CGPA: 3.35/4.00. BS in Mathematics (2010-2015) Institution: International Islamic University Islamabad, Islamabad, Pakistan Grade/CGPA: 2.73/4.00
š¬ Research Interests
Sensitivity analysis of Newtonian and Non-Newtonian Fluids using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN). Mathematical modeling and numerical analysis of MHD Newtonian and Non-Newtonian Fluids. Sensitivity analysis of MHD Newtonian and Non-Newtonian Fluids using AI (machine learning and deep learning). ANOVA (Analysis of Variance). Data Visualization. Computational Fluid Dynamics (CFD)
š„ļø Software Command
MATLAB, ANSYS, COMSOL Multi-Physics, Python, Mathematica, MINITAB-19
š« Experience
Research Fellow/Assistant Professor (March 2024 – June 2024) Institution: University of Baltistan, Skardu Subjects Taught: Optimization Theory, Real Analysis, Fluid Mechanics Teaching Associate/Lecturer (March 1, 2023 – December 31, 2023). Institution: University of Baltistan, Skardu Subjects Taught: Calculus, Computational Fluid Dynamics, Complex Analysis, Integral Equations, Fluid Mechanics, Partial Differential Equations Research Associate (Sep 2019 – January 2023). Institution: International Islamic University, Islamabad Research Topic: Sensitivity Analysis of Wedge Flows for Newtonian and Non-Newtonian Fluids Visiting Lecturer (2019-2023). Institution: International Islamic University, Islamabad Subjects Taught: Partial Differential Equations, Ordinary Differential Equations, Numerical Analysis, Complex Analysis, Software Tools O/A Level Cambridge Teacher (2012-2022). Institution: Faraz Academy G-10 Markaz, Islamabad Subjects Taught: Mathematics O & A Level, Physics O & A Level Convener, Departmental Record and Maintenance Committee and Minutes of the Meetings (March 2023 – June 2024) Department: Department of Mathematics, University of Baltistan, Skardu
Publication top notes
- Title: Optimization of mass and heat flux of MHD viscous fluid flow with constant proportional Caputo derivative by using response surface methodology: Sensitivity analysis
Authors: Chen, L., Hussain, D., Sun, B., Kazim, M., Abbas, M.A.
Journal: International Communications in Heat and Mass Transfer
Year: 2024
Volume/Issue: 154, 107442
- Title: An insight into the catalytic properties and process optimization of Fe, Ni doped eggshell derived CaO for a green biodiesel synthesis from waste chicken fat
Authors: Amal, R., Nadeem, R., Intisar, A., Hussain, D., Kousar, R.
Journal: Catalysis Communications
Year: 2024
Volume/Issue: 187, 106848
- Title: Parametric optimization and case study of nanofluid flow between two parallel plates in the presence of Darcy Brinkman Forchheimer: Sensitivity analysis
Authors: Hussain, D., Abbas, M.A.
Journal: Modern Physics Letters B
Year: 2024
Article ID: 2450454
- Title: Numerical and optimal thermal analysis of non-Newtonian fluids flow over a wedge by using response surface methodology (RSM): Sensitivity analysis
Authors: Hussain, D., Asghar, Z., Zeeshan, A.
Journal: Numerical Heat Transfer; Part A: Applications
Year: 2024
- Title: Thermal optimization of MHD nanofluid over a wedge by using response surface methodology: Sensitivity analysis
Authors: Zeeshan, A., Hussain, D., Asghar, Z., Bhatti, M.M., Duraihem, F.Z.
Journal: Propulsion and Power Research
Year: 2023
Volume/Issue: 12(4), 556ā567
- Title: Numerical and statistical analysis of transport performance of viscous flows over a wedge with heat transfer by using response surface methodology: sensitivity analysis
Authors: Asghar, Z., Hussain, D., Zeeshan, A., Alsulami, H.
Journal: European Physical Journal Plus
Year: 2023
Volume/Issue: 138(10), 965
- Title: Analysis of sensitivity of thermal conductivity and variable viscosity on wall heat flux in flow of viscous fluid over a porous wedge
Authors: Hussain, D., Asghar, Z., Zeeshan, A., Alsulami, H.
Journal: International Communications in Heat and Mass Transfer
Year: 2022
Volume/Issue: 135, 106104
Conclusion
Dr. Dilawar Hussain demonstrates a robust academic and research profile with significant contributions to fluid dynamics and mathematical modeling. His strengths lie in his solid educational background, diverse research interests, and numerous high-impact publications. To enhance his candidacy for the Best Researcher Award, focusing on practical applications, interdisciplinary research, and public engagement could further bolster his impact and recognition.