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Md Moynul Hasan

Email: mdmoynul.hasan@rockets.utoledo.edu

I am a second-year M.S. student in Mechanical Engineering at the University of Toledo, advised by Prof. Anju Gupta. My research focuses on pool boiling heat transfer, combining experimental investigations and theoretical modeling. I am also exploring Scientific Machine Learning (SciML) and am currently taking the AI in Science and Engineering course by ETH Zürich to expand my expertise. I hold a B.S. in Naval Architecture and Marine Engineering from BUET , where I worked on aerodynamic modeling of airfoils using Artificial Neural Networks (ANNs) under Prof. N. M. Golam Zakaria and contributed to biomedical image processing & deep learning research with Assoc Prof. Taufiq Hasan and Prof. Mohammed Imamul Hassan Bhuiyan. I enjoy both experimental and computational research. My goal is to integrate machine learning with physics-based models to enhance predictive modeling in engineering applications.

I am looking for internship positions starting in summer 2025.

News & Updates

2025/02 - Work on MXene additives for enhanced pool boiling got published in Omega!

2024/01 - Work on fast aerodynamics prediction of wedge tail airfoils got published in AJSE!

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

Ti₃C₂Tx MXene Additives for Enhanced Pool Boiling Regime

Saketh Merugu, Md Moynul Hasan, Anupma Thakur, Jacob Patenaude, Babak Anasori, George Choueiri, Anju Gupta
ACS Omega, 2025

[paper] [bibtex]

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
Preprint, 2024

[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