Team

Effective Disjoint Representational Learning: A Systematic lnvestigation of Multi-Decoder Networks and Parameter Sharing Strategies for Anatomical Segmentation

Balance Assessment and Fall Risk Prediction from Ea­rables using Machine Learning

Automated Tracking and Action Recognition for Mice

Machine Learning for a plug-and-p/ay Digital Twin of the production resource

As Physical as Possible, as Digital as Necessary: Designing a Tangible Prototype for Mindful Breathing Exercises

Investigating the Role of MicroRNAs and IsomiRs as Biomarkers in Psychiatric Disorders

Investigation of Robustness of Single-View 3D Pose Esti­mators under Challenging Conditions

Implementation of a collaborative-based recommender system to support the treatment of people with food intolerances

Using Smart Devices to Assess the Health Status of Palliative Care Patients by Monitoring Activities of Daily Living

Scalable, Multi-Agent Reinforcement Learning for Dynamic Workplace EV Charging: Cost Efficiency and Grid Curtailment Response

Comparing Performance and Transparency of Multimodal Foundation Models in Healthcare

lnvestigation of the Relationship Between Sleep and Preterm Birth Using Wearable Device Data

Development of a Modular Software Framework for video-based Animal Re-Identification: Integration and Evaluation of Multiple Datasets and Models·

Development of a design framework for innovating on accessible and inclusive digital health systems in Colombia

Open World Bat Re-Identification

Synthetic data for clinical machine learning·

Depression Detection U sing Hearing-Aid Integrated Sensors

Safe Reinforcement learning using Successor representations

Semantic annotation, topic, and similarity analysis of a large corpus of clinical documentation forms

Investigating Explainable AI Methods in Continual Learning

Context-Aware, Al Chatbot for Breast Cancer Prevention: A Study on Accuracy and User Acceptance

Depression Detection Using ML/DL on 3D Full-Body Skeleton Data

Automated Pose Estimation of Mice Paws