Anup Singh Negi | Computational Fluid Dynamics | Best Researcher Award

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Dr. Anup Singh Negi | Computational Fluid Dynamics | Best Researcher Award

Assistant Professor, Graphic Era Hill University India

Dr. Anup Singh Negi is an Assistant Professor at the Department of Allied Sciences, Graphic Era Hill University, Dehradun, India. He completed his Ph.D. in April 2022 from H.N.B Garhwal University, Uttarakhand. His research focuses on Applied Mathematics, Computational Fluid Dynamics, and Boundary Layer Theory, with a special interest in nanofluid flow and Maxwell fluid flow. A native of India, Dr. Negi is fluent in Hindi and English and has extensive teaching experience at both undergraduate and graduate levels. He has published numerous research articles in international journals and presented at conferences. 🧑‍🏫📑🌍

Publication Profile

Scopus

Orcid

Google Scholar

🎓 Education

Dr. Negi holds a Master of Science (2016) and Bachelor of Science (2014) from H.N.B Garhwal University, Uttarakhand. He also completed his Higher Secondary Certificate and Secondary School Certificate with honors. He is currently preparing for the Uttarakhand State Eligibility Test (U-SET). His academic journey laid the foundation for his research in Applied Mathematics and Computational Fluid Dynamics.

🧑‍🏫 Experience

Dr. Negi has been an Assistant Professor at Graphic Era Hill University since 2022. He has previously taught B.Tech and B.Pharma students as a Guest Faculty at H.N.B Garhwal University. He has also served as an Academic Tutor for Mathematics students, guiding B.Sc and M.Sc students since 2017. His teaching and research roles have greatly contributed to his experience in higher education.

🏆 Awards & Honors

Dr. Negi has received the prestigious Central University Entrance Fellowship from U.G.C. for his doctoral studies. He was also awarded the Research Excellence Award for his contributions to research and innovation at Graphic Era University. His work continues to be recognized, earning him accolades for his scholarly achievements.

🔬 Research Focus

Dr. Negi’s research primarily revolves around Numerical Investigation of Convective Flows, including nanofluid and Maxwell fluid flows, in porous media and boundary layer systems. His studies aim to analyze heat transfer, fluid dynamics, and stability in these complex systems. He is actively exploring the impact of heat sources and magnetic fields in fluid flows.

🏆Conclusion 

Dr. Anup Singh Negi is a promising and accomplished academic with a robust track record in research and teaching. His contributions to the field of Applied Mathematics and Computational Fluid Dynamics are impressive, supported by several high-quality publications and participation in global academic forums. Despite some opportunities for cross-disciplinary expansion, his dedication to advancing scientific knowledge and fostering student engagement makes him a strong candidate for the Best Researcher Award.

Publication Top Notes

  • Title: Designing soft computing algorithms to study heat transfer simulation of ternary hybrid nanofluid flow between parallel plates in a parabolic trough solar collector: case of …
    Year: 2023
    Authors: SK Rawat, M Yaseen, M Pant, CS Ujarari, DK Joshi, S Chaube, AS Negi, …
    Citations: 29

 

  • Title: Inspection of unsteady buoyancy and stagnation point flow incorporated by Ag-TiO2 hybrid nanoparticles towards a spinning disk with Hall effects
    Year: 2023
    Authors: M Yaseen, SK Rawat, U Khan, AS Negi, M Kumar, ESM Sherif, …
    Citations: 28

 

  • Title: Effects of heat source on the stagnation point flow of a nanofluid over a stretchable sheet with magnetic field and zero mass flux at the surface
    Year: 2023
    Authors: AS Negi, A Kumar, M Yaseen, SK Rawat, A Saini
    Citations: 26

 

  • Title: Numerical analysis of magnetohydrodynamics in an Eyring–Powell hybrid nanofluid flow on wall jet heat and mass transfer
    Year: 2023
    Authors: M Yaseen, SK Rawat, U Khan, IE Sarris, H Khan, AS Negi, A Khan, …
    Citations: 18

 

  • Title: Computational analysis of heat and mass transfer flow of wall jet hybrid nanofluid with irregular heat source/sink effects and waste discharge concentration
    Year: 2023
    Authors: M Yaseen, SK Rawat, U Khan, IE Sarris, H Khan, AS Negi, A Khan, …
    Citations: 15

 

  • Title: Transportation of TiO2/GO–H2O hybrid nanofluid between two discs
    Year: 2022
    Authors: AS Negi, B Kumar, A Kumar, C Kumari, K Prachi, AJ Chamkha
    Citations: 10

 

  • Title: Nano-ferrofluid (Mn–Zn, CoFe2O4, Fe3O4) flow in a permeable channel with induced magnetic field
    Year: 2023
    Authors: AS Negi, B Kumar
    Citations: 5

 

  • Title: A numerical analysis of fluid flow and heat transfer between two rotating disks with induced porous medium
    Year: 2023
    Authors: AS Negi, A Saini, A Kumar, SK Rawat, M Yaseen
    Citations: 4

 

  • Title: Chebyshev spectral collocation method for magneto micro-polar convective flow through vertical porous pipe using local thermal non-equilibrium approach
    Year: 2021
    Authors: K Renu, A Kumar, AS Negi
    Citations: 4

 

  • Title: Exploring the Atwood number impact on shock-driven hydrodynamic instability at pentagonal interface using discontinuous Galerkin simulations
    Year: 2024
    Authors: S Bansal, A Kumar, A Saini, AS Negi, S Singh
    Citations: 2

 

  • Title: The transportation of maxwell fluid in the rotating and stretching system: rotor-stator spinning disc reactor applications
    Year: 2023
    Authors: AS Negi, B Kumar, A Kumar, A Singhal, AK Ray, AJ Chamkha
    Citations: 2

 

 

 

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

🎓 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

🧑‍🏫 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.

🏆 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.

🔬 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.

🌟 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. Hussain’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.

🎓 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

🔬 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)

🖥️ Software Command

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

🏫 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), 556–567

 

  • 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.