After successfully defending her master thesis entitled “Comparative study of the performance of various optimizers for Named Entity Recognition system” Sumaiya joined our group as a scientific researcher. She is working in the project eDEM-Connect where she investigates automated methods for knowledge extraction and learning of semantic structures from texts.
After successfully defending his master thesis entitled “A pipeline for named entity extraction from scarcely annotated and noisy text documents”, Teodor Stoev has joined the CoMSA²t team. He works in the project BehavE where he deals with behaviour analysis from heterogeneous data sources, data fusion, and automatic generation of situation […]
We are happy to announce that Yi-Jie Lin successfully defended his master thesis entitled “Identification of Different Persons by Applying Machine Learning Methods on Odor Patterns”. The thesis investigates methods for detecting the identity of a person based on their smell measured with odor sensors.
We are happy to announce the start of the eDEM-Connect Project. eDEM-Connect: Development of a Communication and Services Platform for the Caregivers of People with Dementia is a project funded by BMBF. The project started in February 2020 and will continue for three years. The goal of the project is […]
We are happy to announce that we are organising the DigiTAl workshop: 1st International Workshop on Digital Health Systems for The aging Population. The goal of the workshop is to explore the potential of digital systems for supporting the elderly. The workshop provides a venue for researchers to reflect on […]
We are happy to announce that Kristina Yordanova has received a grant for the BehavE project proposal (Behaviour Understanding through Situation Models for Situation-aware AssistancE) from the German Research Foundation (DFG). The project will start next year and will continue for three years. Objective of the project is the investigation […]
We are happy to announce the start of the DigiCare project. The project is funded by the European Social Fund through the Excellence Initiative of the State Mecklenburg-Vorpommern. The project addresses the interactive digitalisation of study materials for nursing subjects including a semantic tutoring system and a chatbot-based interactive support. […]