Information Engineering (Division F) has 35 University Teaching Officers (UTOs) conducting research and teaching in the Department.
IN ALPHABETICAL ORDER:
 | Dr Yashar Ahmadian Tehrani | Theoretical and computational neuroscience. |
 | Dr Somenath Bakshi | Systems Biology, Synthetic Biology, Quantitative Microbiology, Microscopy, Microfluidics |
 | Prof. Bill Byrne | Speech and language processing, statistical machine translation, machine learning |
 | Dr George Cantwell | |
 | Prof. Roberto Cipolla | Computer Vision, Machine Learning and Robotics |
 | Dr John Dudley | human-computer interaction, virtual reality, augmented reality, text entry |
 | Prof. Fulvio Forni | control theory, nonlinear systems |
 | Prof. Mark Gales | Spoken Language Processing, Low-Resources Speech Processing, Speech Synthesis, Second Language Language Learning and Assessment |
 | Dr Hong Ge | |
 | Prof. Andrew Gee | Medical imaging, ultrasound, CT, elastography, osteoporosis |
 | Prof. Zoubin Ghahramani | machine learning, probabilistic modelling, non-parametric Bayesian statistics, Big Data |
 | Prof. Simon Godsill | Statistical Signal Processing, Bayesian computation, MCMC, particle filters, music analysis and transcription, audio restoration, sparse/heavy-tailed processes, sensor fusion, multiple object tracking |
 | Prof. Albert Guillen Fabregas | Information Theory, Coding Theory, Digital Communications, Data Compression, Signal Processing |
 | Prof. Guillaume Hennequin | |
 | Prof. Miguel Hernández Lobato | |
 | Prof. Fumiya Iida | Robotics, Mechatronics, Machine intelligence |
 | Dr Kate Knill | Speech recognition, speech synthesis |
 | Prof. Per Ola Kristensson | intelligent interactive systems, human-computer interaction, engineering design, inclusive design, design, augmentative and alternative communication, accessiblity, human computation, crowdsourcing |
 | Prof. Joan Lasenby | Motion Capture, Geometric Algebra, Structured Light Plethysmography, Inertial Navigation, Gait and Rehabilitation |
 | Prof. Máté Lengyel | Computational neuroscience, Computational cognitive science, Bayesian and reinforcement learning-based approaches to neuroscience, Learning and memory |
 | Prof. Ioannis Lestas | Systems and control theory, power systems, smart grids, optimization, distributed resource allocation, decentralized control, communication networks, biological networks |
 | Dr Flavia Mancini | neurotechnology, neuroimaging, medical imaging, neurophysiology, biological learning, aversive learning, probabilistic inference, reinforcement learning, signal processing, digital health, precision medicine |
 | Prof. Timothy O’Leary | Neurophysiology, theoretical, computational and systems neuroscience |
 | Prof. Richard Prager | Medical ultrasound imaging, ultrasonic beamforming, tracked three-dimensional ultrasonic imaging, deconvolution |
 | Prof. Carl Rasmussen | Machine learning, probabilistic inference, Bayesian inference, non-parametric models, decision making under uncertainty |
 | Dr Jossy Sayir | |
 | Prof. Rodolphe Sepulchre | Nonlinear systems, control, optimization |
 | Prof. Malcolm Smith | Robust control, passivity based control, circuit synthesis, mechanical networks, mathematical systems theory, nonlinear systems, automotive applications |
 | Dr Ayush Tewari | |
 | Prof. Graham Treece | Medical Imaging, Scientific Visualisation, Computer Graphics, CT, Ultrasound Elastography, Osteoporosis, Biomedical Engineering |
 | Prof. Rich Turner | Machine learning, artificial intelligence, environmental prediction, weather prediction, earth systems modelling |
 | Prof. Ramji Venkataramanan | Information theory, communications, statistical learning, inference |
 | Prof. Glenn Vinnicombe | Control engineering |
 | Dr Adrian Weller | Scalability, interpretability, reliability, ethics of machine learning |
 | Prof. Daniel Wolpert | Computational Neuroscience, Sensorimotor Control |
 | Prof. Phil Woodland | Speech and language technology, large vocabulary speech recognition, audio indexing, language modelling, machine learning |
 | Dr Elliott (Shangzhe) Wu | 3D computer vision and its applications across various domains, including generative AI, embodied intelligence, biology, and beyond |