Explainable MRI Tumor Segmentation
Interpretable deep learning with uncertainty estimation.
AI, ML, DL, LLM, Computer Vision, Medical Imaging, Health Informatics
My name is Md Kawsher Mahbub, and I am currently pursuing a Ph.D. in Computer Science at Kent State University. I previously served as a Lecturer in the Department of Computer Science and Engineering at the Bangladesh University of Business and Technology (BUBT). I hold a Master’s degree in Computer Science from Kent State University and a Bachelor’s degree in Computer Science and Engineering from BUBT. I am passionate about leveraging technology and innovative approaches to improve education, solve real-world problems, and contribute to research that benefits society. My primary interests lie in artificial intelligence (AI), machine learning (ML), deep learning (DL), and computer vision, with a focus on applying these technologies to healthcare and data-driven decision-making. I enjoy exploring cutting-edge breakthroughs, collaborating on impactful research projects, and mentoring students to help them reach their full potential. My long-term goal is to combine my academic experience, research expertise, and enthusiasm for innovation to build solutions that drive progress in science, education, and technology.
Python, C, C++, C#, Java
HTML5, CSS3, PHP, WordPress
PyTorch, TensorFlow, OpenCV, NumPy, SciPy, Scikit-learn, Pandas, Keras, Matplotlib
MySQL, Oracle
Jupyter Notebook, Anaconda, PyCharm, Microsoft Visual Studio, Code::Blocks, NetBeans, Eclipse, Android Studio
Git, LaTeX, UML, ER Diagrams
A few projects at the intersection of AI and healthcare.
Interpretable deep learning with uncertainty estimation.
Learning motor impairment signatures from spiral/wave drawings.
Clinician-aligned explanations that reduce cognitive load.