Information Engineering - Division directory
SCENE Manager
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Areas: Computer Vision, Applied Mathematics
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Student
Academic Division: Information Engineering
Research Group: Probabilistic Systems, Information, and Inference
Professor of Information Engineering and Neuroscience
Academic Division: Information Engineering
Research Group: Control
Research Areas: Neurophysiology, theoretical, computational and systems neuroscience
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Areas: probabilistic inference, generative models, sampling methods, and AI for science
Research Associate in Probabilistic Machine Learning
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Professor
Academic Division: Information Engineering
Research Group: Machine Intelligence
Research Areas: Medical ultrasound imaging, ultrasonic beamforming, tracked three-dimensional ultrasonic imaging, deconvolution
Research Associate in Spoken Language Processing
Academic Division: Information Engineering
Research Group: Machine Intelligence
Professor of Machine Learning
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Areas: Machine learning, probabilistic inference, Bayesian inference, non-parametric models, decision making under uncertainty
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning
Research Student
Academic Division: Information Engineering
Research Group: Computational and Biological Learning