About Sigma Lab
The Sygnal Modelling and Analysis Lab (SIGMA Lab) is a multidisciplinary research group working on machine learning, signal processing, audio technologies, and biomedical analytics.
We develop advanced methods that make intelligent systems more robust, more accurate, and more useful in real-world applications.
Robust Neural Networks
We design techniques that strengthen AI models, making them more resistant to adversarial attacks, noise, and distribution shifts.
Our research improves the reliability, safety, and interpretability of neural networks used in high-stakes environments across industry, healthcare, and beyond.
Biomedical Analysis
We apply machine learning to physiological signals such as EEG and other biometric data.
Our methods support early detection, monitoring, and interpretation of complex health-related patterns, contributing to smarter diagnostic tools and personalized healthcare.
Audio Analysis
We explore the limits of sound through source separation, denoising, spatial audio, and up-mixing.
Our work enhances how machines understand audio and how people experience it — from immersive media to professional audio engineering.
Sigma Lab in numbers
10+
Researchers and Collaborators
50+
Years of combined research experience
40+
Publications in top conferences and journals
10
Countries published
3
Core fields of research
Published in
