BioSIS Lab

Pioneering Biosensing and Intelligence Systems for a Healthier Tomorrow

Discover Our Mission

Our Research Areas

Multidisciplinary approaches to solving complex problems.

Biosensing

Advanced sensors for real-time physiological monitoring.

Artificial Intelligence

Machine learning algorithms for predictive health analytics.

Healthcare Systems

Integrated systems for clinical and remote patient care.

Featured Projects

Exploring the frontiers of biosensing technology and intelligent systems.

Multimodal Signal Processing for Objective Human Pain Assessment
Research

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
Research

Detection of dementia using neuroimaging and machine learning

Early detection of dementia using neuroimaging and machine learning.

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Virtual Reality for Acute Pain Management
Research

Virtual Reality for Acute Pain Management

Identifying which elements of virtual reality relieve acute pain, and why.

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AI for Early Detection and Monitoring of Parkinson's Disease
Research

AI for Early Detection and Monitoring of Parkinson's Disease

Objective assessment of Parkinson's disease using multimodal sensing and AI.

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Meet Our Team

Dedicated researchers and students driving innovation.

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Recent Publications

Latest research findings from our laboratory.

2026

ACM Computing Surveys

A Systematic Literature Review of Healthcare Embedded Systems Using AI-based Biosignal Analysis

Sumair Aziz, Girija Chetty, Roland Goecke, Raul Fernandez Rojas

2026

Information Fusion

GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion

Muhammad Umar Khan, Girija Chetty, Stefanos Gkikas, Manolis Tsiknakis, Roland Goecke, Raul Fernandez-Rojas

2026

IEEE Internet of Things Journal

MDNet: A Lightweight Multi-Domain 1D-CNN for Embedded Pain Assessment Using EDA Signals

S. Aziz, G. Chetty, R. Goecke, R. F. Rojas

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Ready to Collaborate?

Join us in our mission to advance biosensing technology and improve global health outcomes.

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