BioSIS Lab
Advancing health and human performance through AI and multimodal sensing.
Our Research Pillars
From human data to real-world outcomes.
Sensing
Capturing human health, behaviour and performance through physiological, neural, visual and movement sensing.
Physiological sensing
Neural sensing
Computer vision
Motion & IMUs
Embedded systems
Intelligence
Transforming multimodal human data into knowledge through signal processing and responsible AI.
Signal processing
Machine learning
Deep learning
Explainable AI
Data fusion
Impact
Translating research into better health, human performance and safety outcomes.
Healthy Ageing
Pain Assessment & Management
Human Performance & Safety
Sensing → Intelligence → Impact
Explore the frameworkFeatured Projects
See how we combine multimodal sensing and intelligent analysis to create real-world impact in health, performance and safety.

Multimodal Signal Processing for Objective Human Pain Assessment
Objective pain assessment using bio-signal analysis and AI.
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Detection of dementia using neuroimaging and machine learning
Early detection of dementia using neuroimaging and machine learning.
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Multimodal Sensing for Cognitive Workload and Affective State Monitoring in Human–Machine Interaction
Multimodal sensing and AI for objective monitoring of cognitive workload and affective states during human–machine interaction.
View ProjectMeet Our Team
Dedicated researchers and students driving innovation.
Recent Publications
Latest research findings from our laboratory.
66
Research outputs
36
Journal articles
26
Q1 journal papers
Preprint · arXiv preprint arXiv:2608.09088
S Gkikas, Y Guo, G Li, RF Rojas, G Giannakakis, R Gomez
Preprint · arXiv preprint arXiv:2607.19722
S Gkikas, Y Fang, CA Cruz, MU Khan, RF Rojas
Preprint · arXiv preprint arXiv:2607.19716
S Gkikas, CA Cruz, V Becchetti, MU Khan, A Giuseppi, RF Rojas
Ready to Collaborate?
Join us in our mission to advance biosensing technology and improve global health outcomes.
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