Dolat Khan - fluid dynamics - Best Researcher Award

KMUTT - Thailand

AUTHOR PROFILE

SCOPUS

ACADEMIC CAREER

Dolat Khan holds a PhD in Applied Mathematics with a focus on Fluid Dynamics from King Mongkut’s University of Technology Thonburi (KMUTT) in Bangkok, Thailand. His academic journey includes an MS by Research and an MSc in Applied Mathematics and Mathematics from City University of Science & Information Technology, Peshawar, Pakistan. He has excelled in his studies, receiving top grades and various scholarships throughout his educational career.

RESEARCH INTERESTS

Dolat's research interests encompass a wide range of topics in fluid dynamics and heat transfer. He focuses on exact solutions of both Newtonian and Non-Newtonian fluids, entropy generation, porous media, and nanofluids. His work explores complex phenomena such as magnetic hydrodynamics (MHD), fractional derivatives, and numerical analysis, contributing valuable insights to these fields.

MASTER'S AND PhD THESIS

His Master’s thesis explored the MHD flow of Casson fluid with and without nanoparticles over a vertical plate embedded in a porous medium. For his PhD, he investigated a generalized entropy generation analysis of Newtonian and Non-Newtonian fluids through various fractional operators, further advancing the understanding of fluid dynamics.

RESEARCH EXPERIENCE

Dolat has conducted significant research at various institutions, including a short-term research position at Cankaya University, Turkey, and as a research student at City University of Science & Information Technology, Pakistan. His work involves in-depth exploration of fluid dynamics and fractional derivatives, showcasing his expertise and dedication to advancing the field.

TEACHING EXPERIENCE

He has served as a Visiting Lecturer at City University of Science & Information Technology and a Lecturer at Muslim Education Complex, Peshawar. His teaching experience includes instructing and mentoring students in applied mathematics and fluid dynamics, demonstrating his commitment to education and academic development.

PROGRAMMING AND TECHNICAL SKILLS

Dolat is proficient in various programming languages and tools, including Python, MATLAB, Mathematica, and Maple. His skills extend to numerical analysis and scientific software, essential for conducting advanced research and simulations in fluid dynamics and heat transfer.

SCHOLARSHIPS AND AWARDS

Dolat has been recognized with several prestigious awards, including the Petchra Pra Jom Klao Doctoral Scholarship by KMUTT and a gold medal in his MSc program. He also received scholarships for his outstanding academic performance and was selected for a collaborative visit to China, highlighting his academic excellence and global engagement.

PUBLICATIONS

Dolat has authored numerous research papers in renowned journals, covering topics such as MHD flow, heat transfer, and nanofluids. His publications include influential works in Scientific Reports, Results in Physics, and Symmetry, reflecting his significant contributions to the field of applied mathematics and fluid dynamics.

NOTABLE PUBLICATION

Viscous Dissipation Effects on Time-Dependent MHD Casson Nanofluid Over Stretching Surface: A Hybrid Nanofluid Study.

Authors: Rehman, A., Khan, D., Mahariq, I., Abdelghany Elkotb, M., Elnaqeeb, T.
Year: 2024
Journal: Journal of Molecular Liquids

Heat Transfer Analysis of Mixed Convection Boundary Layer Blood Base Nanofluids with the Influence of Viscous Dissipation.

Authors: Rehman, A., Mahariq, I., Khan, D., Ghazwani, H.A.
Year: 2024
Journal: Case Studies in Thermal Engineering

Enhanced Heat Transfer in Viscoelastic Fluids with Periodic Magnetic Fields and Dusty Nanoparticles Between Two Parallel Plates Under Thermal Radiation.

Authors: Khan, D., Ali, G., Mahariq, I., Ahammad, N.A., Ali, M.R.
Year: 2024
Journal: Case Studies in Thermal Engineering

The Impact of Marangoni Convection on Carbon Nanotube Blood Base Hybrid Nanofluid with Thermal Radiation Viscous Dissipation and Couple Stress, Analytical Study.

Authors: Rehman, A., Khan, D., Jan, R., Mahariq, I.
Year: 2024
Journal: BioNanoScience

Exploring the Potential of Heat Transfer and Entropy Generation of Generalized Dusty Tetra Hybrid Nanofluid in a Microchannel.

Authors: Khan, D., Kumam, P., Watthayu, W., Jarad, F.
Year: 2024
Journal: Chinese Journal of Physics

EARLY ACADEMIC PURSUITS:

MARSHEAL FISONGA embarked on his academic journey with distinction, earning a Bachelor of Science degree in Mining Engineering from the High Institute of Mining and Metallurgy of Moa (University of Moa) in Cuba. Notably, he received Summa Cum Laude honors, affirming his outstanding academic achievements.

CONTRIBUTIONS AND RESEARCH FOCUS:

Dr. Fisonga's research contributions are significant and cover diverse areas of geotechnical engineering. His work on mixing uniformity effects on leaching behavior, mechanical performance of crushed demolished construction waste, and earth pressure evolution within large grid wall foundations reflects his commitment to advancing the field.

IMPACT AND INFLUENCE:

Marsheal Fisonga's impact extends beyond academia, as evidenced by his involvement in projects such as the PI Sasscal 2.0 project in Zambia, focusing on the characterization of expansive soils and AI applications in geotechnical engineering. He has also played a crucial role in designing the Geotechnical Engineering Curriculum at the University of Zambia.

ACADEMIC CITES:

Dr. Fisonga has a notable publication record, with contributions to esteemed journals in geotechnical engineering. His work on burden estimation, fleet productivity optimization in surface mining, and sustainable utilization of copper tailings demonstrates the breadth and depth of his scholarly impact.

LEGACY AND FUTURE CONTRIBUTIONS:

Marsheal Fisonga's legacy is underscored by his role in developing the Geotechnical Engineering Curriculum and his commitment to automation and data acquisition in geotechnical testing. His future contributions are anticipated in ongoing projects related to the lateral displacement of large grid wall foundations and the application of AI in geotechnical engineering.