Regular biography
Ramin Ramezani is an Associate Professor in the Department of Computer Science at the University of California, Los Angeles. His research interests include logic and AI, inductive logic programming, constraint solving, machine learning, combined reasoning, signal processing, health analytics, and wireless health. Ramin holds a PhD from Imperial College, London, awarded in 2014. He is affiliated with the UCLA Samueli School of Engineering and can be contacted via email at raminr@ucla.edu or through his profile page at https://samueli.ucla.edu/people/ramin-ramezani/.
Scholar-generated biography
Ramin Ramezani is a researcher at the University of California, Los Angeles, with a focus on AI and Healthcare. His work explores the application of machine learning techniques to medical data analysis, including deep transfer learning for ECG heartbeat classification, temporal convolutional networks for clinical prediction, and imbalanced learning methods for healthcare applications. He has also investigated wearable sensors for fall detection and physical activity tracking, as well as the integration of AI in remote patient monitoring. His research emphasizes the development of robust and interpretable models for healthcare systems, with a particular interest in addressing data imbalance and uncertainty in machine learning.