Bio

Pavithren is an inclusive design technologist with a background in implementing technologies and co-designing with multidisciplinary stakeholders.

Background

He can build on industry experience as a Technology Consultant at Hitachi in Singapore in designing, maintaining and implementing enterprise systems in the Cloud for organisations for 4 years. Subsequently, he was a Research Associate at the National University of Singapore, Saw Swee Hock School of Public Health, where he led the migration of a digital health intervention platform to the university system while complying with their IT security policies. Concurrently he conducted user research on decision aids for Osteoporosis and Urology patients.

He completed his Master of Engineering (research focus on the inclusive design of privacy and security for mobile) in 2021 and his Bachelor of Engineering at the Singapore University of Technology and Design (Human-Computer Interaction) in 2017.

He is passionate about human-centred design and has provided design mentorship at design innovation competitions focussed on inclusive design. He also won the James Dyson Award at the national level in Singapore in 2017 for a design concept of an assistive device for the deaf and hard of hearing (Project PERI).

Current research project and aims

As a Pre-Doc at the Ludwig Boltzmann Institute for Digital Health and Prevention and a PhD candidate at LMU Munich since September 2022, he works with key stakeholders (mainly at the Landeskliniken Salzburg and Institut für Sportmedizin des Landes Salzburg), such as patients, clinicians and health informaticians, to design human-centred and accessible technologies, developing a research agenda around human-computer and human-AI interaction with patient-generated health data. He has also supported stakeholder involvement in the design and development of the Modular Open Research Platform for Digital Health at the LBI-DHP. His research broadly falls under human-data interaction in the context of digital health, particularly along the use case of cardiovascular disease (CVD) rehabilitation and prevention.

Current research endeavours

1. Better understanding the potential and challenges of utilising patient-generated health data in shared-decision making for physical activity planning
2. Designing a transparency model and novel interaction patterns for health data sharing
3. Leveraging generative AI to support data sense-making shared-decision making and physical activity planning

Publications

For LBI-DHP publications see: Publications
Google Scholar: https://scholar.google.com/citations?user=pC0mSzAAAAAJ&hl=en

Links

LinkedIn: https://www.linkedin.com/in/pavithren/
Website: https://www.pavithren.com/