About

👋 Hi! I’m Mahdi Islam, a researcher specializing in Deep Learning, Computer Vision, and Biomedical Image Processing.
📚 I’ve recently graduated from the Erasmus Mundus Joint Master’s program in MedicAl Imaging and Applications (MAIA) and completed my master’s thesis at the Medical University of Innsbruck, Austria, focusing on Annotation-efficient medical image segmentation for decision support in minimally invasive cardiac interventions..

🧠 Areas of Expertise

• 🤖 Deep Learning:
  • Vision-Language Models (VLMs) and Foundation Models.
  • Convolutional Neural Networks (CNNs).
  • Large Language Models
  • Parameter Efficient Finetuning
  • Semi/Weakly Supervised Learning.
• Medical Image Segmentation:
  • 🧠 Brain tissue segmentation (Grey Matter, White Matter, CSF).
  • 🏥 Colorectal tissue and gland segmentation.
  • Aorta structures segmentation
  • Cervical region segmentation
• Medical Image Processing and Analysis:
  • 🩺 Cancer detection and histopathology analysis.
  • 🚶 Gait anomaly detection with real-time predictive models.

💡 Research Interests

I’m passionate about leveraging deep learning and vision-language models 🧠 to transform medical imaging and diagnostics, with a focus on:

• 🧠 Neuroimaging: AI-enhanced analysis for brain mapping.
• ❤️ Cardiovascular Imaging: Echocardiogram, MRI and CT based diagnostics.
• 🩸 Stroke Analysis: AI-driven methods for early stroke detection.
• 🏥 Cancer and Histopathology: Machine learning pipelines for tissue classification and segmentation.
• 🛠️ Image Reconstruction & Synthesis: For accurate diagnosis and prognosis.

💼 Professional Background

• 🔬 Visiting Research Student:
  • Medical University of Innsbruck, Austria (Master’s Thesis, 2025).
  • Research Focus: Semi-supervised segmentation strategies for TAVI access route planning.
• 🔬 Deputy Coordinator:
  • Erasmus Mundus Association, Bangladesh Chapter.
  • Maintaining and developing the EMA-BD website.
• 🎓 Lecturer, Department of Computer Science & Engineering:
  • Metropolitan University, Bangladesh (2022-2023)
  • Inspired students to pursue research-based theses by introducing ML/DL concepts 🚀.
• 🧪 Undergraduate Research Assistant:
  • Islamic University of Technology (2021-2022)
  • Developed a novel gait analysis pipeline using CNNs and sensor-acquired heat-map data.

🚀 Notable Projects

• 🧠 Atlas and Tissue-Model Guided Gaussian Mixture Models for Brain Tissue Segmentation
• 🩺 Skin Cancer Detection: ML vs. DL Comparison
• 🤖 Automatic Knee Rehabilitation Exercises with UR3 Robot
• 🏥 Colorectal Cancer Tissue Classification and Segmentation

For a detailed view of my projects, check out my GitHub 🌐.

💡 I’m passionate about integrating AI into healthcare 💻, fostering innovation, and making a tangible impact on patients’ lives.

🔗 Let’s connect and collaborate 🚀!