GB ImperialDepartment of Computing Dec 1
Jiankang Deng Assistant Professor in Computing Directs the MVP Lab on multi-modal foundation models for visual, acoustic and tactile signals and generative modelling of the physical world.
2026 Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents ECCV 2026 CASteer: Cross-Attention Steering for Controllable Concept Erasure ICLR 97 T1107 papers6 members4 alumniGB ImperialDepartment of Computing Dec 1
Ben Glocker Professor in Machine Learning for Imaging Develops machine learning for medical image analysis, including causal and fair medical imaging AI and safe deployment of clinical models.
2026 Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation TMI 2026 Disparate privacy risks from medical AI Nature 34 T195 papers8 members36 alumniGB ImperialDepartment of Computing Dec 1
Leads the CIRCLE group on 3D computer vision, geometric and topological deep learning for spatial intelligence.
2026 Adversarial Vulnerability from Interference Between Features in Superposition ICML 2026 Collapsed Effective Operators for Higher-order Structures ICML 32 T138 papers13 members4 alumniGB ImperialDepartment of Computing Dec 1
Joey Bose Assistant Professor of Computing Leads the Bose Lab building generative models for science, including geometric deep learning and flow-based models for molecules and proteins.
2026 Aligning Flow Map Policies with Optimal Q-Guidance NeurIPS 2026 Autoregressive Boltzmann Generators ICML 24 T128 papers7 members2 alumniGB ImperialDepartment of Computing Dec 1
Leads projects on adaptive tokenization and memory in foundation models, studying efficient, long-context and multilingual large language models.
2026 Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Findings of ACL 2026 Is Information Density Uniform when Utterances are Grounded on Perception and Discourse? EACL 22 T134 papers10 members3 alumniGB ImperialDepartment of Computing Dec 1
Maja Pantic Professor of Affective & Behavioural Computing Heads the i-bug group on machine analysis of human faces and behaviour, including facial expression recognition and audio-visual speech.
2026 FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs CVPR 2026 KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution Trans. Mach. Learn. Res. 22 T134 papers11 members61 alumniGB ImperialDepartment of Computing Dec 1
Amir Bar Assistant Professor Teaches computers to perceive, reason and act from visual data with little supervision, focusing on self-supervised learning and visual world models.
2026 From Generated Human Videos to Physically Plausible Robot Trajectories CVPR 2026 Lifting Embodied World Models for Planning and Control ECCV 17 T119 papersGroup size not listed GB ImperialDepartment of Electrical and Electronic Engineering Dec 1
Deniz Gündüz Professor in Information Processing Studies information-theoretic foundations of learning, semantic and goal-oriented communications, and machine learning for coding and wireless networks.
2025 Actions speak louder than words: Rate-reward trade-off in markov decision processes ICLR 2025 DiffCP: Ultra-low bit collaborative perception via diffusion model ICRA 15 T193 papers5 members29 alumniGB ImperialDepartment of Computing Dec 1
Leads the CRUMBS lab and co-directs the Centre for Explainable AI, combining learning and reasoning for robust counterfactual explanations and safe decision…
2026 Attribution-based Explanations for Markov Decision Processes IJCAI 2026 Efficient bias mitigation in T2I diffusion models using Concept Graphs NeurIPS 15 T129 papers4 membersGB ImperialDepartment of Computing Dec 1
Yingzhen Li Associate Professor in Machine Learning Builds reliable machine learning combining Bayesian statistics and deep learning, focusing on approximate inference, uncertainty and deep generative models.
2025 Causal Discovery from Conditionally Stationary Time Series ICML 2025 Compact Memory for Continual Logistic Regression NeurIPS 15 T118 papers13 members10 alumniGB ImperialDepartment of Electrical and Electronic Engineering Dec 1
Danilo Mandic Professor of Machine Intelligence Designs statistical learning algorithms including tensor and graph learning and interpretable deep networks, applied to hearables and finance.
2026 Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026 TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models ACL 14 T183 papersGroup size not listed GB ImperialDepartment of Computing Dec 1
Edward Johns Associate Professor of Robot Learning Directs the Robot Learning Lab, developing imitation learning and vision-based manipulation for robots in everyday environments.
2025 Instant Policy: In-Context Imitation Learning via Graph Diffusion ICLR 2025 Learning a Thousand Tasks in a Day Science Robotics 13 T116 papers9 members3 alumniGB ImperialDepartment of Electrical and Electronic Engineering Dec 1
Krystian Mikolajczyk Professor in Computer Vision and Machine Learning Leads Matchlab on 3D computer vision, including depth estimation, novel view synthesis and open-world 3D perception.
2026 Lite Any Stereo: Efficient Zero-Shot Stereo Matching CVPR 2026 Match Stereo Videos via Bidirectional Alignment TPAMI 12 T125 papers3 members12 alumniGB ImperialDepartment of Computing Dec 1
Leads the Embodied Dexterity Lab (DexLab), combining embodied AI, generative models and 3D vision for dexterous hand manipulation.
2026 CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations ICRA 2026 Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering CVPR 12 T121 papers9 membersGB ImperialDepartment of Computing Dec 1
Leads the SWIRL lab on scalable whole-body robot learning, using reinforcement and imitation learning; also founder of Neuracore.
2026 A retrieval-augmented framework enabling VLM spatial awareness for object-centric robot manipulation Science Robotics 2026 ZeroBot: Learning From Scratch in Minutes With Generative Real2Sim RA-L 11 T113 papers5 members7 alumniGB ImperialDepartment of Computing Dec 1
Oana-Maria Camburu Assistant Professor in Machine Learning Works on AI alignment and safety, measuring and improving the faithfulness of chain-of-thought explanations in language models, including for medical…
2025 iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback AAAI 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 10 T111 papersGroup size not listed GB ImperialDepartment of Electrical and Electronic Engineering Dec 1
Patrick Naylor Professor of Speech & Acoustic Signal Processing Works on speech and acoustic signal processing, including dereverberation, source localisation and hearing-aid processing.
2025 Physiologically-Informed Feature Analysis of Acquired Speech Disorders for Stroke Assessment Interspeech 2025 Binary Estimator Selection Methods for Hearing Aids With a Remote Microphone IEEE Access 10 T132 papersGroup size not listed GB ImperialDepartment of Computing Dec 1
Francesca Toni Professor in Computational Logic Works on computational argumentation for explainable AI, knowledge representation, non-monotonic reasoning and argument mining.
2026 ArgLLM-App: an interactive system for argumentative reasoning with large language models AAMAS 2026 Argumentative debates for transparent bias detection AAAI 9 T130 papers7 members19 alumniGB ImperialDepartment of Computing Dec 1
Stefanos Zafeiriou Professor in Machine Learning and Computer Vision Works on machine learning for faces and humans, including 3D face reconstruction, face recognition and generative models of human appearance.
2023 Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes ICCV 2023 FitMe: Deep Photorealistic 3D Morphable Model Avatars CVPR 9 T115 papers9 members39 alumniGB ImperialDepartment of Electrical and Electronic Engineering Dec 1
Yiannis Demiris Professor of Human-Centred Robotics Leads the Personal Robotics Laboratory, developing machine learning and vision so assistive robots personalise help to people.
2025 An integrated 3D eye-gaze tracking framework for assessing trust in human–robot interaction ACM Transactions on Human-Robot Interaction 2025 Cognitive modelling of visual attention captures trust dynamics in human-robot collaboration ACM Transactions on Human-Robot Interaction 9 T119 papers9 members26 alumni