February 2025 - Present
Lecturer
Department of Computer Science, American International University-Bangladesh (AIUB)
Hello,
I'm Rifat Al Mamun Rudro
Lecturer & Researcher
AIUB | Blockchain & Machine Learning Developer | Information Systems | Deep Learning | IoT | Renewable Energy
constresearcher={name:'Rifat Al Mamun Rudro',researchInterests:['Blockchain Technology', 'Machine Learning (ML)', 'Information Systems', 'Artificial Intelligence', 'Deep Learning', 'Internet of Things (IoT)', 'Renewable Energy'],currentPosition:'Lecturer at AIUB',availableFor:function() {return(this.research&&this.collaboration&&this.publications.length>=10);};};ABOUT ME
Who am I?
I'm Rifat Al Mamun Rudro, a Lecturer in the Department of Computer Science at American International University-Bangladesh (AIUB), where I also work as a member of the Ubiquitous, Cloud and Human-Computer Interaction (UCH) Group under the supervision of Prof. Dr. Kamruddin Md. Nur. My interests lie in deep learning, computer vision, explainable AI, natural language processing, and blockchain-integrated systems, with applications in medical image analysis, renewable energy, and secure digital identity. I hold an MSc in Computer Science from AIUB, where my thesis introduced ProteinAngleFold, a multi-head attention framework for protein structure prediction, and a BSc in Computer Science & Engineering with a major in Software Engineering. My work has appeared in journals and conferences such as Energy Reports, Renewable Energy, IEEE Transactions on Network and Service Management, Neural Computing and Applications, and the International Journal of Data Science and Analytics.
Experiences
January 2024 - February 2025
Instructor
Department of Computer Science, American International University-Bangladesh (AIUB)
December 31, 2022 - June 29, 2023
MIS Executive
Mercantile Bank Limited
Skills
Education
Passing Year: 2025
Master of Science in Computer Science (MSc in CS)
American International University-Bangladesh (AIUB)
Passing Year: 2023
Bachelor of Science in Computer Science & Engineering (BSc in CSE)
American International University-Bangladesh (AIUB)
Passing Year: 2018
Higher Secondary Certificate (HSC)
Milestone College
Passing Year: 2016
Secondary School Certificate (SSC)
Milestone College
Highlighted Projects
A collection of my finest research and development work
Project #1
TelLungNet: Improved U-Net Lung Image Segmentation
October 2024 - December 2024
Developed an enhanced U-Net model architecture to improve lung image segmentation, facilitating better telemedicine applications.
Tech Stack
Python
Deep Learning
U-Net
Medical Imaging
Computer Vision
Lead Researcher
Project #2
Photovoltaic Power Generation by ML Time Series Model
June 2024 - September 2024
Applied machine learning techniques combined with time series analysis to predict photovoltaic power generation.
Tech Stack
Python
Machine Learning
Time Series Analysis
Renewable Energy
Predictive Modeling
Lead Researcher
Project #3
SPF-Net to SPFNet2
December 2024 - April 2026
A deep learning segmentation project focusing on training and applying U-Net models and segmenting solar panel imagery for fault detection.
Phases
SPF-Net
A deep learning-based project utilizing U-Net architecture for segmenting solar panel images and detecting faults.
SPFNet2
An advanced version of SPF-Net, incorporates MobileNet variants, enhancing efficiency and accuracy, making it a lightweight and powerful solution for solar panel fault detection and maintenance through image segmentation.
Tech Stack
Python
Deep Learning
U-Net
MobileNetV3Large
Computer Vision
Image Segmentation
Lead Researcher
Project #4
Decentralized Blockchain Applications
August 2025 - Present
A three-phase blockchain-based approach designed to enhance data management, identity verification, and decentralized application development.
Phases
Phase-1: Waris-Chain
Focuses on creating a secure, immutable decentralized ledger for managing heritage records, ownership verification, and historical data.
Phase-2: KYC-Chain
Introduces a blockchain solution for efficiently managing Know Your Customer (KYC) data through smart contracts, offering a transparent and compliant method for identity verification.
Phase-3: ALVChain
Aims to implement Web3 functionality and decentralized workflows, providing a framework for building secure and transparent decentralized applications across various industries.
Tech Stack
Blockchain
Solidity
Ethereum
Smart Contracts
Hyperledger
Web3
Lead Blockchain Developer
Project #5
SHANet: Blockchain-Enhanced YOLO for Real-Time Blood Cell Detection
October 2025 - Present
Combining YOLO for real-time blood cell detection with blockchain technology for secure, immutable data storage. The system ensures accurate detection of blood cells from medical images while enhancing data security and transparency, making it ideal for healthcare applications requiring real-time analysis and secure data sharing.
Tech Stack
Python
YOLOv12
Blockchain
Computer Vision
Medical Imaging
Real-time Detection
Lead Researcher
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