About
Hi, I’m Talha Mahmood, a passionate and driven Computer Science undergraduate at the University of Delaware, specializing in Artificial Intelligence, Robotics, and Mathematics. With a strong foundation in programming and a GPA of 3.98, I am dedicated to leveraging cutting-edge AI technologies to solve real-world problems. My research focuses on advancing computer vision methodologies, particularly in multi-class image segmentation using Vision Transformers and multi-spectral data. I’ve worked on projects like soybean yield prediction and coral reef ecosystem mapping. Beyond academics, I’ve contributed as an Undergraduate Teaching Assistant and led an award-winning hackathon team to enhance U.S. hospital ranking methodologies. My commitment to learning and collaboration drives my pursuit of impactful innovations in robotics, autonomous systems, and multi-modal AI.
CV
Research
I am interested in computer vision, multi-modal AI, and machine learning, with a focus on multi-class image segmentation, Vision Transformers, and spatial-temporal modeling for climate and agricultural applications. My work involves utilizing multi-spectral datasets for environmental analysis. I am also keen on exploring the integration of large language models (LLMs) in multi-modal AI and applying AI to robotics and autonomous systems, with an emphasis on enhancing perception and decision-making in dynamic environments.
