Mohamed Abdelkader
Assistant Professor, Faculty Of Engineering, Alexandria University
Assistant Professor, Faculty Of Engineering, Alexandria University
Mohamed Abdelkader is a passionate Mechanical Engineer and Assistant Professor at Alexandria University. With a PhD from the University of Melbourne, Mohamed delved into the fascinating world of turbulent drag reduction, using polymer additives to make fluids flow more smoothly. His research journey has led him to become an expert in fluid dynamics, unravelling the mysteries of turbulence, optimizing centrifugal pumps, and discovering innovative ways to reduce drag in fluid transportation.
Mohamed's curiosity extends beyond engineering, as he's also developing a keen interest in biomedical research. His work has been recognized on the international stage through presentations at conferences, and he's currently focused on sharing his findings through further publications. A testament to his academic excellence, Mohamed was the proud recipient of the Melbourne Research Scholarship and graduated at the top of his class at Alexandria University.
PhD in Turbulent Boundary Layer, Australia- The University of Melbourne (UoM), 2023
MSc in Mechanical Engineering, Faculty of Engineering, Alexandria University, 2015
BSc in Mechanical Engineering, Faculty of Engineering, Alexandria University, 2008
Dr. Abdelkader's proficiency in experimental fluid mechanics and engineering software enables him to perform sophisticated measurements and analyses of complex mechanical systems. His technical skills encompass,
Experimental Design and Execution: Skilled in designing, constructing, and conducting fluid dynamics experiments.
Data Management: Proficient in collecting, processing, and managing large datasets.
Advanced Measurement Techniques: Experienced in using PIV, PTV, and hotwire anemometry for precise fluid mechanics measurements.
Technical Skills:
Software Proficiency: Expert in Matlab, SolidWorks, AutoCAD, C++, Python, and Ansys for simulations, design, and analysis.
Manufacturing Capabilities: Skilled in using CNC machines to fabricate experimental components.
Problem-Solving and Practical Skills:
Troubleshooting: Demonstrates strong problem-solving abilities and practical troubleshooting skills in experimental setups and design challenges.
Dr. Abuouf is also actively expanding his skill set in Python and OpenFOAM for broader applications in fluid dynamics and engineering simulations.
Dr. Mohamed Abdelkader has a broad range of research interests, including:
Fluid Dynamics: A focus on characterizing and optimizing fluid flows, particularly in turbulence and drag reduction techniques using polymer additives.
Sustainable Fluid Dynamics: Developing energy-saving solutions for fluid transportation, marine and aviation industries to reduce environmental impact.
Biomedical Applications: Exploring the application of fluid mechanics principles to biomedical challenges.
Computational Simulations: Utilizing CFD and other simulation tools to solve complex fluid dynamics problems.
Turbomachinery: Interest in centrifugal pump design and improving performance through advanced simulations and experimental testing.
Mohamed G. AbdElKader, John R. Elsnab, Nicholas Hutchins, Jason P. Monty, 2022, Development of drag-reduced turbulent boundary layer on smooth walls with different polymer concentrations. In TSFP digital library online, Osaka, Japan.
W. Abu Rowin, M. Abdelkader, A. Ramani, P. Manovski, N. Hutchins, 2022, Suppression of wall reflections in PIV images over rough walls. In 20th International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal.
Dr. Mohamed Abdelkader is an experienced educator, having taught a variety of mechanical engineering courses at the Faculty of Engineering, Alexandria University since 2009. He has taught courses in Fluid Mechanics, Hydraulic Machinery, Fluid Power Systems, and Computational Fluid Dynamics, among others. His teaching philosophy emphasizes hands-on learning, critical thinking, and innovation in problem-solving. He has successfully mentored undergraduate and graduate students, including supervising both MSc and PhD theses and several graduation projects in mechanical engineering.
Current supervision includes:
PhD thesis: "The effect of particles sphericity on cyclone performance" (since 2023)
MSc thesis: "Two-Way Tidal Turbine Performance Optimization using CFD Simulation" (since 2015)
ORCID: 0001-7929-4037
"Excited to be part of the Scientific Innovation Dynamics (SID) team that's pushing the boundaries of engineering and biofluid dynamics! Discover more about our groundbreaking research and meet the team"
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