Knowledge Management & Data Streams

Arrow

Presentation of research activities

The research of the Knowledge Management & Data Streams unit concerns in particular the development of knowledge pertaining to AI and the use of ontologies to represent patient information. This unit also works on different methods for the analysis and profiling of patient trajectory with the support of Machine Learning, on techniques managing sensor-generated data streams and other highly dynamic data sources, or also on behavioural change models and persuasion technology in the context of digital health applications.

Jean-Paul Calbimonte

Previously, Prof. Jean-Paul Calbimonte worked as a post-doc researcher within the LSIR EPFL, with Karl Aberer. He completed his PhD at the Universidad Politécnica of Madrid, focusing on the access to data based on data flow ontology under the supervision of Oscar Corcho. He also obtained a Master’s at the EPFL after a Bachelor’s at the UCB, Cochabamba. In addition, he did a brief stint in the industrial sector, working on medical information systems and application platforms in the field of radiology.

Prof. Calbimonte is an HES professor associated with the Applied Intelligent Systems Lab (AISLab) of the HES-SO Valais-Wallis. His main research work topics of interest are currently focusing on the application of AI and knowledge management techniques for their use in the field of health, and in particular the use of data semantics and machine learning techniques applied to data collected through wearables and detection devices. Some of the uses, for instance, concern chronic diseases, diabetes, active aging, and rehabilitation.

Adresse pro :HES-SO Valais-Wallis - Haute Ecole de Gestion
Route de la Plaine 2, Case postale 80
3960 Sierre
Switzerland

Partnership

Key publications

Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors

G. Manzo, D. Calvaresi, O. J. del-Toro, J.-P. Calbimonte & M. Schumacher.
Journal of Medical Systems 45, 12 . 2021.

EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots

D. Calvaresi, J.-P. Calbimonte, E. Siboni, S. Eggenschwiler, G. Manzo, R. Hilfiker & M. Schumacher.
Electronics 10, 6 666. 2021.

Real-Time Compliant Stream Processing Agents for Physical Rehabilitation

D. Calvaresi & J.-P. Calbimonte.
MDPI Sensors 20, 3 746. 2020.

Agent-based Modeling for Ontology-driven Analysis of Patient Trajectories

D. Calvaresi, M. Schumacher & J.-P. Calbimonte.
Journal of Medical Systems 44, 158. 2020.

Semantic representation and processing of hypoglycemic events derived from wearable sensor data

J.-P. Calbimonte, J.-E. Ranvier, F. Dubosson & K. Aberer.
Journal of Ambient Intelligence and Smart environments JAISE 9, 1 97-109. 2017.

Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change

J.-P. Calbimonte, D. Calvaresi, F. Dubosson & M. Schumacher.
Proc. of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). vol 11523, 16-28. 2019.

Team

Benjamin Pocklington

Scientific Assistant

Ekaterina Aymon

Scientific Assistant

Berk Buzcu

Research Assistant

Helia Givian

Research Assistant

Gözde Tataroglu

PhD Student

Banani Anuraj

PhD Student