Omid Rohanian has completed a PhD in Natural Language Processing and Machine Learning in the Research Group in Computational Linguistics (RGCL) at the University of Wolverhampton. He received his MSc from Sharif University of Technology in 2016. In his research he has developed neural-based sequence labelling and classification models to tackle problems in language processing. His research interests include representation learning, supervised machine learning, graph convolutional networks, structured prediction, and sequence classification.
- Representation learning
- Supervised machine learning
- Sequence classification
- Structured prediction
Biomedical Signal Processing and Instrumentation
Omid currently works on projects using patient data including electronic health records to predict the need for hospital admission and the need for respiratory support.