Program chairs

Andrea Bontempelli
University of Trento, Italy

Andrea Bontempelli is a postdoctoral researcher at the University of Trento working on interactive machine learning and concept drift with a focus on sensor data streams and noisy data. He also has expertise in research data management.

Özlem Durmaz Incel
University of Twente, Netherlands

Özlem Durmaz Incel is the Chair of the Pervasive Systems Research Group at the University of Twente. Her research areas include applied machine learning, human activity and well-being recognition, edge AI in wearable and ubiquitous computing, and the Internet of Things. She serves as an Associate Editor of PACM IMWUT and IEEE Internet Computing.

Baiyu Chen (Breeze)
University of New South Wales, Australia

Baiyu Chen (Breeze) is a PhD student at UNSW Sydney. He received his Master of Information Technology with Excellence from UNSW Sydney. His research focuses on human-centric multimodal learning for wearable sensing, behavior modeling and proactive AI assistants.

Steering committee

Matteo Busso
University of Trento, Italy

Matteo Busso holds a Master’s in Sociology and a PhD in Computer Science from the University of Trento (Italy), where he focused on integrating sociological methods into ubiquitous computing experiments. His research aims to gather high-quality data on individual diversity for social interactions. He teaches AI to non-experts and contributes to designing and implementing a research infrastructure for generating and sharing diversity-aware data.

Lakmal Meegahapola
Nokia Bell Labs, United Kingdom

Lakmal Meegahapola is a Research Scientist at Nokia Bell Labs in Cambridge, UK. Previously, he was a postdoctoral researcher at ETH Zurich. He obtained his PhD from EPFL in 2024 and has also worked at Google Research, University of Cambridge, and Singapore Management University. His work lies at the intersection of mobile and wearable sensing, digital health, and responsible AI, where he develops safe and robust AI/ML models and LLM pipelines for multimodal time series data. He is on the editorial board of ACM IMWUT, IEEE Pervasive Computing, and also is an Associate Chair of ACM CHI.

Wanyi Zhang
Chongqing University, China

Wanyi Zhang is a postdoctoral research associate at Chongqing University, China. She received her PhD from University of Trento, Italy. Her research focuses on context recognition, human behavior modeling, urban computing, and spatio-temporal trajectory data mining, with applications in mobile sensing and ubiquitous computing.

Flora Salim
University of New South Wales, Australia

Flora Salim is a professor at UNSW Sydney. Her research areas include multimodal machine learning for time-series, spatiotemporal, and mobility data, and robust AI. She has served as a Program Co-Chair of ACM UbiComp/ISWC 2020 and an Editor of PACM IMWUT (2022-2025). She is an Associate Editor-in-Chief of IEEE Pervasive Computing, and a Vice Chair of the IEEE Task Force on AI for Time-Series and Spatio-Temporal Data.

Daniel Gatica-Perez
Idiap Research Institute & EPFL, Switzerland

Daniel Gatica-Perez leads the Social Computing Group at Idiap and is a professor at EPFL. He has worked extensively on smartphone sensing research. He served as General Co-Chair of ACM Ubicomp/ISWC 2015, and currently serves as an Associate Editor of PACM IMWUT.

Fausto Giunchiglia
University of Trento, Italy

Fausto Giunchiglia is a professor of Computer Science at the University of Trento working on end-to-end data-centric AI, from data collection to data analysis, with a special interest on the study of human behavior.

Technical Support

Ali Hamza
University of Trento