Mr. Mohammad Mohiuddin, Chiitagong University of Engineering & Technology (CUET), Bangladesh
Mohammad Mohiuddin is an emerging academic and engineering professional with a strong background in Electrical and Electronic Engineering, currently serving as an Adjunct Lecturer at the Chittagong Institute of Engineering and Technology (CIET). He holds an M.Sc. in Electronics and Telecommunication Engineering from Chittagong University of Engineering & Technology (CUET), where he graduated with a perfect CGPA of 4.00 and received a Postgraduate Scholarship. He also earned his B.Sc. in Electrical and Electronic Engineering from East Delta University, graduating Summa Cum Laude with several academic distinctions, including the Chairman’s Outstanding Student Award. Mohammad has teaching experience in both theoretical and practical courses, particularly in areas such as Digital Electronics, Machine Learning, Circuit Design, and Power Electronics. Alongside his academic career, he works as a Communication Engineer at Total Marine & Safety Solution Ltd., where he specializes in satellite and radio communication systems, onboard networking, and technical training. His research interests span a wide range of modern technological areas, including the Internet of Things (IoT), machine learning, signal processing, smart grids, and biomedical applications. His postgraduate thesis focused on intelligent fault diagnosis using deep learning techniques. Mohammad is passionate about advancing science and technology through education, research, and hands-on technical expertise.
Professional Profile:
ORCID
🏆 Summary of Suitability for Best Researcher Award
Mohammad Mohiuddin is an emerging researcher and academician with a strong foundation in Electrical and Electronic Engineering (EEE) and a growing research portfolio in Artificial Intelligence, Machine Learning, and Biomedical Applications. While he is in the early stages of his research career, his dedication, academic excellence, and potential make him a promising candidate for future recognition. Below is an assessment of his suitability for the Research for Best Researcher Award
🎓 Education
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M.Sc. in Electronics & Telecommunication Engineering (ETE)
📍 Chittagong University of Engineering & Technology (CUET)
🗓️ Passed: 26 November 2023
📈 CGPA: 4.00/4.00
🏅 Achievement: PG Scholarship
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B.Sc. in Electrical & Electronics Engineering (EEE)
📍 East Delta University
🗓️ Passed: 2020
📈 CGPA: 3.91/4.00
🏆 Achievements:
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Diploma in Engineering (Electrical Technology)
📍 Chittagong Technical College
🗓️ Passed: 2016
📈 CGPA: 3.93/4.00
🎖️ Achievements:
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Secondary School Certificate (SSC)
📍 Uttar Rangunia High School
🗓️ Passed: 2012
📈 GPA: 4.88/5.00
💼 Work Experience
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Adjunct Lecturer – CIET (Chittagong Institute of Engineering and Technology)
🗓️ March 1, 2023 – Present
📚 Department: Electrical and Electronic Engineering (EEE)
👨🏫 Responsibilities:
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Conducted theory and lab classes
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Estimation and requisition of lab materials
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Administrative and academic coordination
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Communication Engineer – Total Marine & Safety Solution Ltd.
🗓️ October 26, 2022 – Present
🚢 Responsibilities:
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Conducted training on marine telecommunication
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Worked with satellite (VSAT, STARLINK) & onboard radio systems
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Maintained CCTV and networking equipment
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Prepared technical specs and documentation
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Instructor – Chittagong Technical College (CTC)
🗓️ November 1, 2019 – May 1, 2020
🛠️ Department: Electrical
📚 Responsibilities:
🏅 Awards & Honors
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🏆 PG Scholarship – CUET
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🏆 Summa Cum Laude – East Delta University
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🥇 Chairman’s Outstanding Student Award
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📜 Vice Chancellor’s and Dean’s List
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🎓 Principal’s Outstanding Student Award – CTC
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🌍 World Bank Scholarship
Publication Top Notes:
A Novel Deep Learning Technique for Brain Tumor Detection and Classification Using Parallel CNN with Support Vector Machine
Internet of Things (IoT)-Based Smart Agriculture Irrigation and Monitoring System Using Ubidots Server
Feature Optimization for Machine Learning Based Bearing Fault Classification
Hybrid model-based Brain Tumor Detection and Classification using Deep CNN-SVM
Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet
Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals
MRI-Image based Brain Tumor Detection and Classification using CNN-KNN
Air Quality Monitoring in Chittagong by a Low Cost IoT Based Air Quality Monitoring System