Dr. Dundar's area of expertise is in machine learning with a special focus on self-adjusting models and inference, where the traditional brute-force approach of fitting a fixed model onto the data is replaced with more flexible models that can account for the non-stationary nature of real-world machine learning problems by dynamically updating data model to better accommodate prospective data in offline as well as online settings.
