Primary Focus: My primary focus revolves around the challenging and fascinating world of 3D+t microscopic image analysis. I specialize in segmentation and tracking techniques, leveraging advanced algorithms to unlock valuable insights from complex volumetric data. My work is aimed at pushing the boundaries of our understanding of cellular dynamics and their implications in various fields, including biomedical research. Bridging the Gap between Technology and Healthcare: I am actively involved in a crucial project that holds immense potential in revolutionizing cancer detection and screening. Collaborating with my students, I am developing sophisticated tools and applications to aid pathologists in diagnosing and understanding cancer-related patterns more effectively. My goal is to contribute significantly to early diagnosis and improved patient outcomes. Ph. D. Journey: During my doctoral studies, I specialized in optimizing image feature spaces for generating highly efficient binary codes in image retrieval using Convolutional Neural Networks. My research laid the foundation for novel techniques that enable rapid and accurate content-based image retrieval, a crucial aspect in various real-world applications.