Unobtrusive detection of health changes towards better adaptation of services for older adults
September 2022 – Present
Experimentation with Hybrid Integration, Auto-encoding, and Deep Clustering Approaches Applied to Stress Detection
January 2024 – Present
Research experience in applying deep learning and graph signal processing to biomedical EEG data for seizure and neurodegenerative disease detection.
Research experience in patient data embedding, clustering, and applying Large Language Models (LLMs) to generate customized medical report summaries.
Research experience in emotion detection using NLP and advanced Deep Learning models.
January 2022 – January 2024
May 2021 – May 2023
Winter 2021 – Fall 2022
IoT Self-healing
2016-2018
An Adaptive Sensor-Based Platform to Improve the Safety of Older Adults in the Kitchen
August 2014 – December 2016
An Adaptive System for Volunteering Support
Fall 2013 – Fall 2015
A Smart Floor for Activity Recognition in a Smart Environment
Summer 2010 – Fall 2012
Deployment of Components in Smart Environments
Winter 2010 – Fall 2012
Determination and Modeling of Risks at Home
Fall 2009 – Winter 2012
A Sensor Network-Based Multimedia Architecture for Smart Spaces
Tools for Risk Prevention at Home
Middleware for Sensor Networks
Fall 2009 – Summer 2011
Security Management of the Hope Big Data Platform
Fall 2018
Implementation of a Microservices Architecture for the Hope Big Data Platform
Development of a Tool to Help Seniors Stay Active
Fall 2014 – Fall 2015
Geolocation of Objects via RFID in an Apartment for User Comfort
Summer 2012
Design of a Smart Floor
Inovus: Smart Stove
An RFID System for Object Localization within a Smart Home
Summer 2011
Assistive Technologies for the Autonomy and Mobility of People with Alzheimer’s Disease
Summer 2010
Indoor Localization in a Smart Space
Fall 2009 – Winter 2010
A Meta-Ontology for Smart Environments
Summer 2009
