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Research Interest

1. Consumer online behavior - Developing models and methods for:

   • Analyzing consumers' behavior along the conversion funnel

   • Measuring product similarity using multimodal representations

   • Behavior-dependent recommendation systems 

   • Analyzing the differences between mobile vs. desktop users 

2. Human - Machine Learning

   • Developing an AI-based Assistant for mentoring novice drivers

   • Learning personality traits from chatbot conversations

   • Using reciprocal human-machine learning for text classification tasks

3. Digital medicine - Applying machine learning and data analytics to solve medical problems

   • Predicting response to treatment in breast cancer patients based on MRI

   • Prediction of children's visual problems and Amblyopia 

   • Endometriosis prediction

   • Enteral nutrition failure prediction and mortality prediction in ICU patients

   • Early prediction of Alzheimer's Disease

   • Predicting fetal risk during labor from ultrasound examination

4. Using NLP for analyzing design thinking 

1. • How can we model design processes?

   • Do experienced designers differ from novice designers in their design process?

Additional research areas: Information technology in agriculture, Domain-specific modeling languages, Ontology development