I am a transdisciplinary researcher working at the intersection of behavioral science, data science, and design science in the domain of healthcare. Currently, I am a postdoctoral researcher in the Interaction Design group within the Department of Design, Production, and Management.
Prior to this, I obtained a dual Ph.D. from the University of Twente and the University of Oulu. My thesis focused on developing and implementing an unobtrusive sensing solution for older adult care to support caregivers.
Expertise
Nursing and Health Professions
- Caregiver
- Older Adult
- Cognitive Defect
Computer Science
- Wi-Fi
- Channel State Information
- Communication
- Persuasive System
- Systems Design
Organisations
My research lies at the intersection of diverse domains, including artificial intelligence (developing novel algorithms for human activity recognition), behavioral science (gathering needs and requirements, behavior change), and design science (prototyping, user testing, and studying the impact of designs on users). Most of the projects I work on aim to contribute to a positive societal impact.
Publications
2024
2023
2021
Research profiles
Current projects
MOCIA
As a postdoc, I am involved in the MOCIA project, where I am developing a data-driven, user-centered, multi-domain digital lifestyle intervention. This toolkit aims to promote brain health among the general population while aligning with their values regarding health and digital technology.
Finished projects
ENTWINE
For my Ph.D., I was involved in the ENTWINE project, where I developed and evaluated the Unobtrusive Sensing Solution (USS) for in-home monitoring of older adults with cognitive impairment (OwCI) who live alone in their own houses to ease the support of their informal caregivers. In this research, I conducted a scoping review to identify available unobtrusive sensing technology that can be implemented in older adult care. Subsequently, Wi-Fi CSI technology was utilized to collect a dataset illustrating physical agitation activities (Wi-Gitation). Furthermore, the Inter-data Selected Sequential Transfer Learning (InSSeqTra) framework was proposed and implemented to classify the agitation activities. Lastly, the thesis focused on identifying the needs and requirements of informal caregivers of OwCI towards USSs. These needs and requirements were gathered through interviews and surveys, informing the development of a Lo-Fi prototype for an interaction platform. Overall, the results obtained through this project not only enhance the development of Wi-Fi CSI (specifically for OwCI care) but also provide valuable insights into the informational and design requirements of informal caregivers, thereby promoting the context-aware development of USSs.
Address
University of Twente
Horst Complex (building no. 20), room W254
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst Complex W254
P.O. Box 217
7500 AE Enschede
Netherlands
Organisations
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