Dilawar Hussain | Fluid Mechanics | Best Researcher Award

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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

Scopus

 

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. Hussainā€™s 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.

šŸŽ“ 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

šŸ”¬ 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)

šŸ–„ļø Software Command

MATLAB, ANSYS, COMSOL Multi-Physics, Python, Mathematica, MINITAB-19

šŸ« 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), 556ā€“567

 

  • 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.

Raheela Razzaq | Fluid Dynamics | Best Researcher Award

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Dr. Raheela Razzaq | Fluid Dynamics | Best Researcher Award

Ā Dr at Harbin Institute of Technology shenzhen, China

Dr. Raheela Razzaq is a dedicated academic with a strong background in Applied Mathematics, focusing on Nanofluid Mechanics, Artificial Intelligence, and Computational Fluid Dynamics. She has extensive experience teaching at various educational institutions in Pakistan, including Capital University of Science and Technology (CUST) and Govt Post Graduate College, Attock. Dr. Razzaq is currently pursuing a Postdoctoral Fellowship at Harbin Institute of Technology, Shenzhen, China, where her research involves AI-based hydrodynamic shape optimization for high-speed underwater vehicles.

Publication profile

Scopus

Orcid

Scholar

Evaluation of Dr. Raheela Razzaq for Best Researcher Award

Strengths for the Award šŸŒŸ

Diverse Research Expertise: Dr. Raheela Razzaq has a strong research portfolio in areas like Applied Mathematics, Nanofluid Mechanics, Artificial Intelligence, and Computational Fluid Dynamics. This multidisciplinary expertise is a significant asset, allowing her to contribute innovative solutions across various fields. High-Quality Publications: With 19 research publications in reputable journals, Dr. Razzaq has established a strong presence in the scientific community. Her work on non-similar solutions for boundary layer flows and nanofluids is particularly noteworthy. International Collaboration: Dr. Razzaq’s ongoing postdoctoral fellowship at the Harbin Institute of Technology in China reflects her ability to engage in and contribute to high-level international research. Recognition as a Peer Reviewer: Serving as a reviewer for prominent international journals such as Scientific Reports and Journal of Applied Physics underscores her credibility and expertise in her research areas.

Areas for Improvement šŸ› ļø

Professional Experience: While Dr. Razzaq has valuable teaching experience, her professional exposure to research roles beyond academia seems limited. Expanding her experience in research-focused positions could further bolster her profile. Research Grants and Awards: Although Dr. Razzaq has received the Prime Minister Fee Reimbursement Scholarship during her Ph.D., pursuing additional research grants and awards could enhance her recognition and support further innovative work. Broader Impact and Application: While her research is technically sound, emphasizing the practical applications and real-world impact of her work in areas like AI-based shape optimization and nanofluid mechanics could make her contributions more appealing to a wider audience.

šŸŽ“ Education and Credentials

Postdoctoral Fellowship: Harbin Institute of Technology Shenzhen, China (2023 – Ongoing) Thesis: Artificial-Intelligence-based Hydrodynamic Shape Optimization of High-Speed Underwater Vehicles. PhD in Applied Mathematics: COMSATS University Islamabad, Pakistan (2018 – 2023)
Thesis: Effectiveness of Non-Similar Solutions for Boundary Layer Flows of Newtonian and Non-Newtonian Fluids. M.Phil in Applied Mathematics: COMSATS Institute of Information Technology, Pakistan (2014 – 2017) Thesis: Slip Effects on Free Convection Flow due to Uniformly and Exponentially Accelerated Vertical Plate with Newtonian Heating. M.Sc. in Mathematics: COMSATS Institute of Information Technology, Pakistan (2012 – 2014) Thesis: Some Cubic Convergent Methods for Nonlinear Equations. Bachelor of Science: FG Degree College Attock, Punjab University, Pakistan (2009 – 2012). Higher Secondary School Certificate (HSSC): GOVT. College for Women Attock, BISER, Pakistan (2007 – 2009). Secondary School Certificate (SSC): GOVT. Higher Secondary School Attock, BISER, Pakistan (2005 – 2007). B.Ed.: Abdul Wali Khan University, Pakistan (2015 – 2016)

šŸ‘©ā€šŸ« Professional Experience

Lecturer: Capital University of Science and Technology (CUST), Islamabad (09/2020 ā€“ 02/2022) Courses taught: Calculus I, Basic Mathematics, Probability and Statistics. College Teaching Intern: Govt Post Graduate College, Attock City (09/2014 ā€“ 11/2017) Courses taught: Numerical Methods, Linear Algebra, Mathematical Methods of Physics, Analytical Geometry & Calculus. Lecturer: Federal College of Science and Commerce, Attock City (2016) Courses taught: Mathematics to F.Sc & I.CS.. Instructor and Class Teacher: Fauji Foundation Model School Basal, Attock (12/2017 ā€“ 02/2018) Courses taught: Mathematics to Grade 9th & 10th

šŸ› ļø Areas of Expertise

MATLAB, Mathematica, Latex, Scientific Workplace, Paraview, Star CCM+, Tecplot, Microsoft Office Suite, Classroom Management, Cross-functional Collaboration, Student Assessment, Lesson Planning, Strategic Planning

šŸ“Š Research Interests

  • Applied Mathematics
  • Nanofluid Mechanics
  • Artificial Intelligence
  • Fluid Mechanics
  • Boundary Layer Flows
  • Shape Optimization
  • Thermodynamics
  • Heat and Mass Transfer Analysis
  • Computational Fluid Dynamics

šŸ“š Publications & Academic Impact

  • Google Scholar
    • ISI Publications: 15
    • Citations: 217
    • h-index: 9
    • i10-index: 8

Awards

Prime Minister Fee Reimbursement Scholarship for Ph.D., COMSATs University Islamabad. HEC Scholarship for M.Phil, COMSATs University Islamabad

Publication top notes

  • Title: Impact of non-similar modeling for forced convection analysis of nano-fluid flow over stretching sheet with chemical reaction and heat generation
    Authors: J Cui, R Razzaq, U Farooq, WA Khan, FB Farooq, T Muhammad
    Journal: Alexandria Engineering Journal, 2022, 61(6), pp. 4253-4261
    Citations: 48

 

  • Title: Nonā€similar solution for magnetized flow of Maxwell nanofluid over an exponentially stretching surface
    Authors: R Razzaq, U Farooq, J Cui, T Muhammad
    Journal: Mathematical Problems in Engineering, 2021, 2021(1), Article ID 5539542
    Citations: 33

 

  • Title: Non-similar forced convection analysis of Oldroyd-B fluid flow over an exponentially stretching surface
    Authors: R Razzaq, U Farooq
    Journal: Advances in Mechanical Engineering, 2021, 13(7), Article ID 16878140211034604
    Citations: 30

 

  • Title: Non-similar aspects of heat generation in bioconvection from flat surface subjected to chemically reactive stagnation point flow of Oldroyd-B fluid
    Authors: J Cui, S Munir, SF Raies, U Farooq, R Razzaq
    Journal: Alexandria Engineering Journal, 2022, 61(7), pp. 5397-5411
    Citations: 22

 

  • Title: Modeling and numerical computation of nonsimilar forced convective flow of viscous material towards an exponential surface
    Authors: U Farooq, R Razzaq, MI Khan, YM Chu, DC Lu
    Journal: International Journal of Modern Physics B, 2021, 35(08), Article ID 2150118
    Citations: 14

 

  • Title: Peristaltic heat transport analysis of carbon nanotubes in a flexible duct due to metachronal waves of cilia
    Authors: MN Abrar, S Uddin, S Shah, R Razzaq
    Journal: ZAMMā€Journal of Applied Mathematics and Mechanics/Zeitschrift fĆ¼r Angewandte Mathematik und Mechanik, 2023
    Citations: 13

 

  • Title: On numerical thermal transport analysis of threeā€dimensional bioconvective nanofluid flow
    Authors: J Cui, S Munir, U Farooq, MEA Rabie, T Muhammad, R Razzaq
    Journal: Journal of Mathematics, 2021, 2021(1), Article ID 5931989
    Citations: 11

 

Conclusion šŸŽÆ

Dr. Raheela Razzaq is a strong candidate for the Best Researcher Award, given her extensive research contributions, multidisciplinary expertise, and active involvement in the international scientific community. To further strengthen her candidacy, she could seek more research-focused roles, apply for additional grants, and emphasize the broader societal impact of her work. Overall, her accomplishments make her a worthy contender for this recognition.