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Md Moynul Hasan

Email: mdmoynul.hasan@rockets.utoledo.edu

I am a first-year MS student in Mechanical Engineering at the University of Toledo. Previously, I completed my undergraduate studies in Naval Architecture and Marine Engineering from Bangladesh University of Engineering and Technology (BUET), and worked as a Research Assistant at the same department. During my undergraduate thesis, I worked under the supervision of Prof. N. M. Golam Zakaria and used Artificial Neural Networks to predict the aerodynamic characteristics of airfoils. Additionally, I worked on a research project related to Biomedical Image Processing & Deep Learning, under the guidance of Assoc Prof. Taufiq Hasan and Prof. Mohammed Imamul Hassan Bhuiyan. My interests is in Data-driven Engineering.

I am looking for internship positions starting in summer 2024.

News & Updates

2023/12 - Received a teaching assistantship!

2023/09 - Accepted at UToledo for MS in Mechanical Engineering.

2023/08 - Work on effects of wedge tail thickness on NACA 0021 airfoil got published in JMR!

2022/10 - Joined BUET as a Research Assistant.

2022/08 - Graduated from BUET.

2021/08 - Joined Animo.Ai as a Machine Learning Engineer intern.

2020/11 - Work on feature fusion approach for detecting COVID-19 got accepted to ICECE 2020!

Publications

Fast aerodynamics prediction of wedge tail airfoils using multi-head perceptron network

Md. Moynul Hasan, Md. Mashiur Rahaman, N. M. Golam Zakaria
Arabian Journal for Science and Engineering (AJSE), 2024

[paper] [bibtex]

The effects of wedge tail thickness on NACA 0021 airfoil performance

Md. Moynul Hasan, Md. Mashiur Rahaman, N. M. Golam Zakaria
Journal of Maritime Research (JMR), 2023

[paper] [bibtex]

Predicting aerodynamic characteristics of airfoils using artificial neural network

Md. Moynul Hasan, Mohammad Fahim Faisal, N. M. Golam Zakaria, Md. Mashiur Rahaman
Under review in the Journal of Aerospace Engineering, 2022

[paper] [bibtex]

A Wavelet-CNN Feature Fusion Approach for Detecting COVID-19 from Chest Radiographs

Md. Latifur Rahman, Nusrat Binta Nizam, Prasun Datta, Md. Moynul Hasan, Taufiq Hasan and Mohammed Imamul Hassan Bhuiyan
11^th International Conference on Electrical and Computer Engineering (ICECE), 2020

[paper] [bibtex]

Poster Presentation

Aerodynamics Prediction of Airfoil using Artificial Neural Network

Md. Moynul Hasan, Md. Mashiur Rahaman, N. M. Golam Zakaria
Presented at the 2^nd International Student Conference on Marine Technology (ISCMT), 2022

[poster]

Projects

Speaker Recognition System

The Machine Learning model can recognise speakers with almost 99% accuracy.

[dataset] [code]

Design Of a General Cargo Ship Of 2500 Tonnes Cargo Capacity In The Route Of Dhaka-Chittagong-Dhaka

Supervisor: Dr. N. M. Golam Zakaria
The project is submitted to the Department of Naval Architecture & Marine Engineering, BUET in partial fulfillment of the requirement for the course of Ship Design Project and Presentation.

Online Courses