Farzad Ghafoorian | Fluid Mechanic | Best Researcher Award

Dr. Farzad Ghafoorian | Fluid Mechanic | Best Researcher Award

Research Assistant, University of Colorado Colorado Springs, United States

A highly skilled mechanical engineer specializing in computational fluid dynamics (CFD), wind energy, and heat transfer 🌬️🔥. Holds a Master’s in Mechanical Engineering (Thermal-Fluid Science) from Iran University of Science and Technology 🎓. Passionate about renewable energy systems, numerical modeling, and fluid mechanics. Active researcher, guest editor, and journal reviewer 📖. Expertise in CFD simulations, wind turbine optimization, and thermal management 🏗️. Dedicated educator and workshop presenter for university and high school students 📚.

Profile

Education 📚

Iran University of Science and Technology – Master’s in Mechanical Engineering (Thermal-Fluid Science) (2018–2021) 🎓 | Thesis: Simulation & validation of Gorlov wind turbine 🌀 | GPA: 3.3/4 📊 Islamic Azad University South Tehran Branch – Bachelor’s in Mechanical Engineering (2013–2018) 🏗️ | GPA: 3.3/4 📈

Experience 🛠️

Independent Researcher (2021–Present) 🔬 | Published ISI research papers on CFD & wind energy 🌍 Teaching Assistant – Iran University of Science & Technology (2020–2021) 🎓 | Assisted in Fluid Mechanics I & II 💧 Workshop Presenter (2021–Present) 🎤 | Taught fluid mechanics, heat transfer, and CFD to undergraduates ⚡ High School Educator (2014–Present) 📖 | Conducted lessons in math, geometry, and physics 📏

Awards & Honors 🏆

Guest Editor – Next Energy Journal (Elsevier) (2024–Present) 📚 | Leading special issue on renewable energy modeling 🌿 Journal Reviewer (2024–Present) 📝 | Reviewer for Physics of Fluids, Energy, and Ocean Engineering journals 🏗️

Research Focus 🔍

Expert in Computational Fluid Dynamics (CFD), wind energy, and heat transfer ⚙️ | Specializes in 2D & 3D simulations of wind turbines (Darrieus, Savonius, Gorlov) 🌪️ | Works on heat transfer enhancement using porous media, phase change materials (PCM), nanofluids, and VOF simulation 🔥 | Dedicated to improving efficiency in renewable energy systems through numerical modeling 📊

Publications

An investigation into the self-starting of Darrieus-Savonius hybrid wind turbine and performance enhancement through innovative deflectors: A CFD approach

CFD investigation and optimization on the aerodynamic performance of a Savonius vertical axis wind turbine and its installation in a hybrid power supply system: a case study in …

Effective parameters optimization of a small scale Gorlov wind turbine, using CFD method

A 3D study of the darrieus wind turbine with auxiliary blades and economic analysis based on an optimal design from a parametric investigation

Numerical study on aerodynamic performance improvement and efficiency enhancement of the savonius vertical axis wind turbine with semi-directional airfoil guide vane

Conclusion

The researcher has an impressive portfolio in CFD-based wind energy research, with numerous impactful publications, editorial contributions, and technical expertise. Their work on Darrieus-Savonius hybrid wind turbines and heat transfer modeling demonstrates innovation and scientific rigor. While the research contributions are strong, securing a Ph.D., increasing international collaborations, and engaging in global conferences would further solidify their candidacy for the Best Researcher Award.

Xueye Chen | Hydrodynamics | Best Researcher Award

Prof. Xueye Chen | Hydrodynamics | Best Researcher Award

Professor at  Ludong University, China

👨‍🏫 Prof. Xueye Chen is a faculty member at the College of Transportation, Ludong University. He has served as a visiting scholar at Nanyang Technological University and The Hong Kong Polytechnic University. His expertise spans wearable technology, medical health innovations, and modern agriculture. Prof. Chen specializes in micro-nano manufacturing, flexible MEMS intelligent sensing, and microfluidic systems. With over 200 publications and 10 patents, he significantly contributes to advancing intelligent sensors and fractal microfluidic control.

Professional Profiles:

Education🎓

Prof. Chen pursued higher education in micro-nano technology and mechanical engineering, solidifying his foundation in innovative sensor development. He has engaged in specialized training and international academic exchanges at prestigious institutions such as Nanyang Technological University and The Hong Kong Polytechnic University.

Experience🔬 

Prof. Chen has led numerous research projects in wearable devices and flexible sensors. He has completed two major projects, with one ongoing. His extensive publication record, alongside 10 patents, showcases his dedication to applied research in micro-nano manufacturing.

Awards and Honors🏆

Prof. Chen holds an H-index of 33 with over 3,500 citations. His patents and groundbreaking work in fluid control and sensing technologies have positioned him as a leading figure in his field. His contributions have earned him recognition for innovation and scholarly excellence.

Research Focus🧪 

Prof. Chen’s research emphasizes microfluidic system design, where he applies fractal principles to develop efficient micromixers. He pioneers new micro-nano manufacturing methods and designs flexible MEMS sensors for wearable health and agricultural applications, driving advancements in intelligent sensing.

✍️Publications Top Note 

Dual-mode paper fiber sensor – Monitors humidity and pressure using laser-induced graphene. (Chemical Engineering Journal, 2024)

Coastal fractal micromixer – Designs micromixers for liposome manufacturing. (Physics of Fluids, 2024)

Droplet formation simulation – Investigates microchannel capillary devices. (Chinese Journal of Analytical Chemistry, 2024)

Porous fiber humidity sensor – Tracks skin and breathing moisture non-invasively. (Journal of Materials Chemistry A, 2024)

Three-objective micromixer optimization – Applies Pareto genetic algorithms to fractal micromixers. (Int. J. Chem. Reactor Eng., 2024)

Conclusion

Prof. Xueye Chen is a highly accomplished researcher whose impressive publication record, high citation impact, and innovative patents make him a strong contender for the Best Researcher Award. His groundbreaking work in micro-nano manufacturing and fluidic systems reflects a commitment to pushing the boundaries of scientific discovery. Addressing gaps in collaboration, professional memberships, and editorial appointments would further solidify his profile and increase his competitiveness for top-tier awards.

Dr. Saira Naz | Fluid Mechanics and Nanotechnology | Best Researcher Award

Dr. Saira Naz | Fluid Mechanics and Nanotechnology | Best Researcher Award

Dr. Saira Naz, Giresun Üniversity, Turkey

I am an experienced academic professional with a PhD in Mathematics from Quaid-i-Azam University, Islamabad. My academic journey also includes an M.Phil. in Applied Mathematics, an M.Sc. in Mathematics, and a B.Sc. from the same institution. I hold a B.Ed from Allama Iqbal Open University. I have served as a faculty member at Air University and a visiting faculty at Bahria University, with additional teaching experience at Islamabad College of Management & Commerce and Spring Field Public School. I have attended multiple international conferences on fluid mechanics, reflecting my active engagement in continuous professional development.

Professional Profiles:

Scopus

Professional Qualification 📜

B.Ed: Allama Iqbal Open University, Islamabad (2015).

Experience 💼

Serving as a Faculty in Air University, IslamabadServing as a Visiting Faculty in Bahria UniversityServed as a permanent faculty (Teaching experience at F.Sc and B.Sc level) in Islamabad College of Management & Commerce, RawalpindiWorked as a lecturer in the Spring Field Public School and College, Harley-2 Campus, Harley Street, Rawalpindi

Conferences Attended 📚

Attended 7th International Conference on “Recent Developments in Fluid Mechanics” February 13-15, 2018.Attended 9th International Conference on “Recent Developments in Fluid Mechanics” November 27-29, 2023.Attended Conference on “Emerging Issues”

Career Objective 🌟

To work with an organization that enhances my abilities and where I can use my academic and technical experience to grow with the organization.

✍️Publications Top Note :

1. Significance of Nonlinear Radiation in Entropy Generated Flow of Ternary-Hybrid Nanofluids with Variable Thermal Conductivity and Viscous Dissipation

Authors: Naz, S., Hayat, T., Adil Sadiq, M., Momani, S.
Journal: Ain Shams Engineering Journal, 2024, 15(7), 102792
Citations: 1
Abstract: Not available
Related Documents: Not available

This article explores the impact of nonlinear radiation on the entropy generated in flows of ternary-hybrid nanofluids, considering the effects of variable thermal conductivity and viscous dissipation. The study is crucial for enhancing the efficiency of thermal systems involving nanofluids.

2. Melting and Dissipative Effects About Entropy Induced Darcy-Forchheimer Flow Involving Ternary-Hybrid Nanofluids

Authors: Hayat, T., Naz, S., Alsaedi, A., Momani, S.
Journal: Case Studies in Thermal Engineering, 2024, 55, 104097
Citations: 3
Abstract: Not available
Related Documents: Not available

This research investigates the melting and dissipative effects in entropy-induced Darcy-Forchheimer flow with ternary-hybrid nanofluids. The findings provide insights into optimizing heat transfer processes in engineering applications.

3. Entropy Optimized Radiative Flow Conveying Hybrid Nanomaterials (MgO-MoS2/C2H6O2) with Melting Heat Characteristics and Cattaneo-Christov Theory: OHAM Analysis

Authors: Naz, S., Hayat, T., Ahmad, B., Momani, S.
Journal: Ain Shams Engineering Journal, 2024, 102892
Citations: 0
Abstract: Not available
Related Documents: Not available

This article discusses the entropy optimization in radiative flow of hybrid nanomaterials, incorporating MgO-MoS2/C2H6O2, considering melting heat characteristics and applying the Cattaneo-Christov theory. The analysis is performed using the Optimal Homotopy Asymptotic Method (OHAM).

4. Soret and Dufour Impacts in Entropy Optimized MHD Flow by Third-Grade Liquid Involving Variable Thermal Characteristics

Authors: Hayat, T., Naz, S., Momani, S.
Journal: Numerical Heat Transfer; Part A: Applications, 2024
Citations: 0
Abstract: Not available
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This study focuses on the Soret and Dufour effects in magnetohydrodynamic (MHD) flow of a third-grade liquid, optimized for entropy, considering variable thermal characteristics. The results have implications for advanced fluid dynamics and thermal management systems.

5. Numerical Modeling and Analysis of Non-Newtonian Nanofluid Featuring Activation Energy

Authors: Naz, S., Gulzar, M.M., Waqas, M., Hayat, T., Alsaedi, A.
Journal: Applied Nanoscience (Switzerland), 2020, 10(8), pp. 3183–3192
Citations: 6
Abstract: Not available
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This paper presents a numerical analysis of non-Newtonian nanofluids with activation energy. The study offers valuable data for designing and improving heat transfer systems utilizing nanofluids.

6. Hydromagnetic Carreau Nanoliquid in Frames of Dissipation and Activation Energy

Authors: Waqas, M., Naz, S., Hayat, T., Ijaz Khan, M., Alsaedi, A.
Journal: Communications in Theoretical Physics, 2019, 71(12), pp. 1416–1424
Citations: 12
Abstract: Not available
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This article examines the behavior of hydromagnetic Carreau nanoliquids, incorporating dissipation and activation energy effects. The findings contribute to the field of fluid mechanics and thermal conductivity enhancement.

7. Numerical Simulation for Activation Energy Impact in Darcy–Forchheimer Nanofluid Flow by Impermeable Cylinder with Thermal Radiation

Authors: Waqas, M., Naz, S., Hayat, T., Alsaedi, A.
Journal: Applied Nanoscience (Switzerland), 2019, 9(5), pp. 1173–1182
Citations: 20
Abstract: Not available
Related Documents: Not available

This study uses numerical simulation to analyze the impact of activation energy on Darcy-Forchheimer nanofluid flow around an impermeable cylinder, considering thermal radiation. The research offers insights into the heat transfer characteristics of nanofluids in complex geometries.

8. Effectiveness of Improved Fourier-Fick Laws in a Stratified Non-Newtonian Fluid with Variable Fluid Characteristics

Authors: Waqas, M., Naz, S., Hayat, T., Shehzad, S.A., Alsaedi, A.
Journal: International Journal of Numerical Methods for Heat and Fluid Flow, 2019, 29(6), pp. 2128–2145
Citations: 14
Abstract: Not available
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This paper assesses the effectiveness of improved Fourier-Fick laws in a stratified non-Newtonian fluid with variable characteristics. The research contributes to the understanding of heat and mass transfer in complex fluid systems.

9. Effectiveness of Darcy-Forchheimer and Nonlinear Mixed Convection Aspects in Stratified Maxwell Nanomaterial Flow Induced by Convectively Heated Surface

Authors: Hayat, T., Naz, S., Waqas, M., Alsaedi, A.
Journal: Applied Mathematics and Mechanics (English Edition), 2018, 39(10), pp. 1373–1384
Citations: 24
Abstract: Not available
Related Documents: Not available