Md. Mohiuddin is a Lecturer in the Department of Mechanical Engineering at Khulna University of Engineering & Technology. His current research focuses on enhancing energy output and velocity range through flow-induced vibration. Additionally, he is actively working on the shape optimization of piezoelectric cantilever energy harvesters using numerical and machine-learning techniques. Mohiuddin's research interests span across energy harvesting, fluid-solid interactions, thermo-fluid dynamics, and both linear and non-linear vibrations, with a strong emphasis on leveraging machine learning to solve complex engineering problems.
In addition to his academic and research pursuits, he is passionate about mentoring students and actively supports them in their undergraduate engineering projects. As a lecturer, he has taught various courses, including fluid mechanics, solid mechanics, thermodynamics, and thermal engineering,
He is dedicated to advancing the field of mechanical engineering through innovative research and collaboration, aiming to develop sustainable solutions for energy challenges in the modern world.
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4 consecutive times for outstanding academic performance
The most commonly used energy harvesting method involves a cantilever beam. This research specifically focuses on optimizing the geometry of the cantilever beam through numerical analysis, with the potential addition of machine learning techniques.
This research focuses on capturing flow energy using a bluff body to induce vibrations. The primary benefit of this energy harvester is its ability to operate effectively in low-velocity flows. However, a challenge is that it produces significant power output only within a very limited velocity range. Ongoing studies aim to expand this bandwidth and enhance the power output.
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Last Update: 02-Oct-2024