Sina Ghorbani Kolahi

Sina Ghorbani Kolahi is a PhD candidate in Human Media Interaction at the Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente. His research lies at the intersection of machine learning, multimodal sensing, and adolescent well-being. In his PhD, he develops spatio-temporal and deep learning models to examine how high-school students’ social behaviors and physical activity change over time and across contexts. He takes a multimodal approach, combining smartwatch data with in-the-moment pop-up questionnaires to capture not only what students do, but also how they feel and make sense of their daily interactions. Previously, during his master’s in Health Systems Engineering at Tarbiat Modares University (Iran), he worked on deep-learning methods for medical image analysis to strengthen diagnostic pipelines, an experience that solidified both his technical foundation and his commitment to real-world impact. He has remained actively involved in the research community, publishing in leading machine learning venues such as WACV, MICCAI, and BMVC. Motivated by this background, Sina is driven by the belief that responsibly designed sensing and machine learning can help educators and students better understand patterns of connection, stress, activity, and belonging. His PhD is part of the Building 4 Belonging project.

E-mail: sina.ghorbanikolahi@utwente.nl

ORCID: 0009-0002-4519-2635