Research projects in Information Technology

With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability to a broad class of critical domains: the data owner is willing to disclose the data to the model builder/holder.

Networked digital diagnostic, monitoring and patient treatment tools permeate medical practice. A plethora of telemedicine, national and other eHealth records, injury assessment, patient-specific devices, hospital theatre equipment tools have resulted in a multi-billion dollar industry worldwide.  Research suggests the application of these tools  to healthcare can improve clinical workflows and patient care outcomes.

The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human-computer integration”, contrasting the previously dominant paradigm of computers functioning as tools. This project focuses on embodied integration, where a computer tightly integrates with the person’s body. 

#digitalhealth

I am seeking PhD candidates interested in designing and connecting Multimodal Learning Analytics solutions according to the pedagogical needs and contextual constraints of teamwork occurring across physical and digital spaces.