Published 21 papers with 103 citations. Notable research includes multimodal deep learning for breast cancer subtype classification, automated identification of failure cases in organ at risk segmentation using distance metrics, and adaptation of tongue ultrasound-based silent speech interfaces using spatial transformer networks.
Research Experience
September 2017 - June 2018, Scania, Position: Data analyzer and AI developer, Description: Vehicle Diagnostic tracking.
Education
September 2014 - June 2017, Kharazmi University, Field of study: Computer Science, PhD.
Background
Research interest: working on AI in combination with other subjects. Areas of expertise include Machine Learning, Speech Recognition, Automatic Speech Recognition, Discriminant Analysis, Speech Synthesis, Python, Signal Processing, Data Mining, Brain Tumors, and Image Segmentation.