About

👋 Hi! I’m Mahdi Islam, a researcher specializing in Deep Learning, Computer Vision, and Biomedical Image Processing.
📚 I’m currently in my third semester of the Erasmus Mundus Joint Master’s program in Medical Imaging and Applications (MAIA) and preparing for my master’s thesis at the Medical University of Innsbruck, Austria, focusing on AI-driven advancements in cardiovascular imaging.

🎓 I am actively seeking funded PhD opportunities for Fall 2025 to continue contributing to impactful research in AI-driven healthcare innovations 🚀.

🧠 Areas of Expertise

• 🧩 Medical Image Segmentation:
  • 🧠 Brain tissue segmentation (Grey Matter, White Matter, CSF).
  • 🏥 Colorectal tissue and gland segmentation.
• 🤖 Deep Learning:
  • 🔗 Vision-Language Models (VLMs) and Foundation Models.
  • 🌀 Convolutional Neural Networks (CNNs).
  • 📉 Semi/Weakly Supervised 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-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 (Upcoming):
  • Medical University of Innsbruck, Austria (Master’s Thesis, 2025).
  • Research Focus: Few-shot video-based vision-language models for echocardiography.
• 🎓 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 🚀!