Chao Jiang| Fluid Mechanics | Best Researcher Award

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Dr. Chao Jiang| Fluid Mechanics | Best Researcher Award

Postdoc at Peking University, China.

Chao Jiang is an Assistant Professor at Southern University of Science and Technology, specializing in fluid mechanics, turbulence modeling, and AI-enhanced scientific computations. He has made pioneering contributions to aerodynamic bionics, including discovering wake anomalies in bluff bodies and the phase transition in wavy cylinder dynamics. His research integrates machine learning with physics to advance turbulence modeling and computational methods. With expertise in symmetry-based AI, he has revolutionized scalar and tensor modeling in neural networks. Chao holds a Ph.D. in Engineering Mechanics from Harbin Institute of Technology and has served as an AI Engineer at TenFong Central Research Institute.

Profile

Orcid

šŸŽ“ Education

B.Sc. in Civil Engineering (2010-2014) Harbin Institute of Technology. M.Sc. in Engineering Mechanics (2014-2017) Harbin Institute of Technology. Ph.D. in Engineering Mechanics (2017-2023) Harbin Institute of Technology | Research: Turbulence modeling and AI-enhanced flow control

šŸ§‘ā€šŸ« Experience

Assistant Professor Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology. Conducted advanced research in aerodynamic bionics and flow control. AI Engineer TenFong Central Research Institute. Applied AI to scientific computation and engineering systems.

šŸ† Awards and Honors

First discovery of wake anomalies in bio-inspired bluff bodies. Reported the phase transition phenomenon in wavy cylinder dynamics. Developed symmetry-based deep learning for tensor modeling. Achieved breakthroughs in turbulence modeling using AI and physics integration.

šŸ”¬ Research Focus

Data-driven turbulence modeling and AI-enhanced computations. Mathematics and physics of machine learning with symmetry-based AI. Aerodynamic bionics: wake dynamics and flow control mechanisms. Multiscale computational modeling integrating data and physics paradigms.

šŸŒŸ Conclusion

Chao Jiang is a distinguished candidate for the Best Researcher Award due to his innovative achievements in turbulence modeling, AI-driven scientific computation, and aerodynamic bionics. His groundbreaking discoveries and high-impact publications establish him as a leader in his field. By extending his global collaborations and emphasizing real-world applications, Chao could elevate his already impressive academic and professional profile to even greater heights.

Publication

1. Velocity Phase-Transitions in the Wake of a Wavy Cylinder at Low Reynolds Numbers
2. An Interpretable Framework of Data-Driven Turbulence Modeling Using Deep Neural Networks
  • Journal: Physics of Fluids
  • Date: May 2021
  • DOI: 10.1063/5.0048909
  • Authors: Chao Jiang, Ricardo Vinuesa, Ruilin Chen, Junyi Mi, Shujin Laima, Hui Li
3. A Novel Algebraic Stress Model with Machine-Learning-Assisted Parameterization
  • Journal: Energies
  • Date: January 2020
  • DOI: 10.3390/en13010258
  • Authors: Chao Jiang, Junyi Mi, Shujin Laima, Hui Li
4. A Numerical Investigation of Reynolds Number Sensitivity of Flow Characteristics Around a Twin-Box Girder
  • Journal: Journal of Wind Engineering and Industrial Aerodynamics
  • Date: January 2018
  • DOI: 10.1016/j.jweia.2017.11.016
  • Authors: Chao Jiang

 

 

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.