HI Lights 3 Seminar: Shaping Well-Being and Quality of Life

Discover the transformative potential of Hybrid Intelligence (HI) in enhancing well-being and improving the quality of life in crucial areas like healthcare and education. Join us for HI Lights 3 Seminar on 20th of May, 2025 at 8.30-14.15, at Tellus Backstage, University of Oulu and online in Zoom!

Seminar Highlights:

• Explore how augmented care solutions powered by Hybrid Intelligence are revolutionizing healthcare systems.
• Learn about innovative ways to support continuous, life-long learning and education through adaptive HI platforms.
• Understand how HI can engage with underserved communities to drive meaningful and inclusive change, fostering opportunities for a more fulfilling and meaningful life.

Whether you’re a researcher, healthcare professional, educator, student or simply curious about the future of intelligence-driven well-being, this event is your opportunity to connect with leading experts and stakeholders shaping the future of Hybrid Intelligence.

Warmly welcome!
Register here for on site or online event by 14th of May.

Zoom link to the event: https://oulu.zoom.us/j/61678042921

Programme

8:30 - 9:00
Welcome Coffee
Opening Remarks by Prof. Kristina Mikkonen, Hybrid Intelligece programme, University of Oulu

9:00 - 10:00
Keynote: From real to artificial intelligence doctor for interprofessional-based simulation learning by Assoc. Prof. Liaw Sok Ying, Centre for Healthcare Simulation at the Alice Lee Centre for Nursing Studies, National University of Singapore

10:00 - 11:00
Theme Talks from HI.3: Shaping Well-Being and Quality of Life
Case examples:

• Dr. Sari Pramila-Savukoski, Research Unit of Health Sciences and Technology, Hybrid Intelligence research programme, University of Oulu: What Do We Know About Emotional Expressions and Psychological Stress Among Culturally and Linguistically Diverse Students in Immersive Learning Simulations?
• Dr. Marta Sobocinski, learning sciences, University of Oulu: Immersed in Learning: How Physiological Traces Predict Help-Seeking in VR Learning
• Dr. Constantino Álvarez Casado, Center for Machine Vision and Signal Analysis (CMVS), University of Oulu: Contactless Biosignal Extraction from Video: Enabling Non-Intrusive Monitoring in VR Environments

11:00 - 12:00
Lunch Break & networking

12:00 - 13:00
Keynote: Bridging Minds and Machines: Exploring Hybrid Intelligence through Brain-Computer Interfacing by Assoc. Prof. Maryam Alimardani, Faculty of Science, Computer Science, Vrije University of Amsterdam

13:00 - 14:00
Keynote, talks, MEF

14:00 – 14:15
Afternoon coffee and closing remarks

Programme will be updated.

About the keynote speakers

Liaw Sok Ying

Professor Liaw Sok Ying is the Vice Dean of Education and Director of the Centre for Healthcare Simulation at the Alice Lee Centre for Nursing Studies, National University of Singapore. With a strong background in nursing education and healthcare simulation, she leads initiatives to advance clinical training, interprofessional learning, and patient safety. Her research focuses on simulation-based learning, clinical decision-making, and improving educational outcomes in healthcare. As a leader in health professions education, she is committed to transforming teaching and learning through innovation and evidence-based practices.

Maryam Alimardani

Dr. Mahsa Alimardani is an Associate Professor at the Faculty of Science, Computer Science, Vrije University of Amsterdam, whose interdisciplinary research bridges brain-computer interfaces (BCIs), robotics, and cognitive science to advance human-machine interaction. Her work focuses on developing adaptive brain-computer interface systems that not only respond to user commands but also interpret mental states to enhance interaction and support cognitive functions. Previously, she explored the sense of embodiment in users operating humanoid robots via brain-computer interfaces and introduced a novel neurofeedback training paradigm to improve motor imagery learning. Currently, she is developing brain-computer interfaces -controlled robots and avatars capable of monitoring brain activity in real time and delivering personalised therapeutic interventions.