JBDR – Joint laboratory on Big Data
with Duke University (US), UCL (UK)
Advanced theory, algorithms, and system design in support of next-generation, large-scale information processing systems and big data technologies with the aim to address a new wave of big data applications in smart cities, smart healthcare, art investigation, and media authenticity. Of particular interest are explainable artificial intelligence, interpretable deep learning, and federated learning with applications in biomedical data processing and analysis.
Research will also be focusing on signal reconstruction from low-dimensional, noisy and incomplete measurements, including using deep learning models for solving inverse problems for compressive holography, holographic tomography, super-resolution, phase retrieval or retrieving 3D object shapes and scene geometry.