Ramtin Moslemi

My primary focus is on Artificial Intelligence and Machine Learning where I have developed a strong theoretical and practical background.
I have done research on adversarial robustness, generative models, anomaly detection, and more.
You can download my CV from here in PDF format.

My interest lies in Reinforcement Learning, with a special focus on Theoretical RL, examining how agents can learn through interaction with their environment.
I'm also drawn to the pursuit of Trustworthy AI, specifically addressing challenges in Adversarial Robustness and Differential Privacy.
Exploring the theoretical foundations of Geometric Deep Learning and Graph Neural Networks is another key area of interest to me.
Generative AI and its diverse set of applications intrigue me as well.

Hello, World!