Medical AI Research
Medical image analysis, AI-assisted diagnosis, healthcare AI, and clinical decision-support research.
SYSTEM / PERSONAL RESEARCH PROFILE ONLINE
AI ENGINEER // MEDICAL AI RESEARCHER
Technology, Research & Intelligent Systems.
I work across applied AI research, deep learning, computer vision, medical image analysis, software, and digital operations—connecting technical work with practical applications.
IDENTITY / M.Y.M
AI · CV · RESEARCH
Professional Overview
Four connected dimensions of my work.
My professional profile combines research-oriented AI work with technology implementation, digital operations, and organisational execution.
AI & Innovation
Deep learning, computer vision, image-based AI solutions, and applied research and development.
Technology & Digital Operations
Technology implementation, CRM and website development, system optimisation, UI/UX integration, and digital product operations.
Organisational Management
Multidisciplinary team leadership, cross-functional coordination, content development, and operational execution.
Career Journey
From software and UI/UX to AI research and digital operations.
Jan 2017 – Dec 2019
UI/UX Developer · MetaConnect Ltd.
Designed responsive web interfaces and translated UI/UX prototypes into front-end implementations.
Jan 2020 – Feb 2025
Senior Manager · Technology & Digital Operations
Led a multidisciplinary team and oversaw CRM, website, UI/UX, content, and e-commerce technology operations.
Apr 2023 – Present
Research Assistant · IUBAT AI Research Lab
Develops deep learning models for medical image classification and AI-assisted diagnosis.
Nov 2023 – Present · Project-Based
AI/Research Project Trainee · Amprex Tech Solution
Received hands-on training and project-based experience in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision, including data preprocessing, model development, training, and evaluation. Applied AI/ML techniques to practical projects using Python and deep learning frameworks, strengthening skills in experimentation, performance analysis, and end-to-end AI research workflows.
Mar 2025 – Present
AI Research Engineer · Mass Data Ltd.
Develops deep learning and computer vision solutions for image-based applications and contributes to AI system integration and automation.
Research
Applied AI for medical imaging and intelligent diagnosis.
Research interests include Artificial Intelligence, Deep Learning, Computer Vision, Medical Image Analysis, Healthcare AI, Explainable AI, and Clinical Decision Support.
Research Matrix
From intelligent systems to medical image analysis.
The current research direction connects core AI methods with computer vision and healthcare-oriented applications.
01Artificial Intelligence
02Deep Learning
03Computer Vision
04Medical Image Analysis
05Healthcare AI
Selected Publications
Two journal publications in 2026.
Deep Learning-Based Detection of Renal Abnormalities from CT Images: A Study on a Bangladeshi Cohort
M. Y. Mitu & M. A. Hossain. Xception achieved 99.84% accuracy in four-class CT classification of normal, cyst, stone, and tumor.
Automated Skin Disease Classification Using Deep Neural Networks: A Study on a Bangladeshi Dataset
M. Y. Mitu & M. A. Siddiki. NASNetLarge achieved 91.0% accuracy, 90.5% precision, 90.8% recall, and 90.6% F1-score.
Education
B.Sc. in Computer Science and Engineering.
International University of Business Agriculture and Technology (IUBAT), Bangladesh · 2013–2016 · CGPA 3.74/4.00.
Connect
Professional and academic profiles.
Current Focus
Building toward the next layer of applied AI research.
Current areas of focus include deep learning, computer vision, medical image analysis, healthcare AI, explainable AI, and clinical decision support.
FOCUS.LOGREADY
01MEDICAL AIACTIVE
02COMPUTER VISIONACTIVE
03DEEP LEARNINGACTIVE
04RESEARCH & INNOVATIONACTIVE