01
Supervised Quantum Computing
Quantum algorithms and circuits for supervised machine learning tasks, including quantum kernel methods and variational classifiers.
What we do
Research Concentration
Eleven research concentrations where quantum mechanics guides intelligent computation for knowledge-based systems.
02
Deep Learning
Artificial neural networks and deep learning architectures for large-scale, data-driven knowledge discovery.
03
Molecular Machine Learning
Computational quantum chemistry and machine learning for molecular property prediction and drug discovery.
04
Edge Computing
Lightweight, collaborative and resource-efficient deep models for intelligent edge devices.
05
Industrial Informatics
Intelligent computation for industrial systems, automation and manufacturing informatics.
06
Chemometrics
Multivariate data analysis and machine learning applied to chemical measurement systems.
07
Mental Health Informatics
Computational approaches for mental health assessment, monitoring and intervention.
08
Computational Neuroscience
Neural network models inspired by and applied to the study of the brain and cognition.
09
Theoretical Quantum Machine Learning
Foundations of quantum machine learning: theory, complexity and new quantum learning models.
10
Recommender System
Personalized recommendation algorithms from collaborative filtering to deep and quantum-enhanced models.
11
Computer Vision
Deep computer vision for classification, detection, segmentation and earth observation.