Hooman Rokham, Ph.D.

My research focuses on artificial intelligence, particularly in the areas of deep learning, machine learning, and their real-world applications. I am especially interested in improving the robustness and performance of AI models, including addressing challenges such as label noise. By developing innovative techniques to enhance model accuracy and reliability, my goal is to advance AI technologies across various domains, ensuring they can handle noisy, imperfect data and scale effectively in diverse environments.