GB UCLDepartment of Computer Science
Jun Wang Professor of Information and Data Science Researches multi-agent reinforcement learning, deep generative models and information retrieval.
2026 A Benchmark for Deep Information Synthesis ICLR 2026 Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning ICLR 86 T1135 papersGroup size not listed GB UCLGatsby Computational Neuroscience Unit
Arthur Gretton Professor of Machine Learning Develops kernel methods for machine learning, including two-sample tests, dependence measures and causal inference.
2026 Learn to Guide Your Diffusion Model ICLR 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 34 T136 papers4 members22 alumniGB UCLDepartment of Computer Science
He Wang Professor of Visual Computing Researches computer graphics, vision and machine learning for human motion, crowd simulation and adversarial robustness.
2026 Deep Motion Warping via Phase-Conditioned Diffusion Autoencoder SIGGRAPH 2026 Graphical X Splatting (GraphiXS): A Graphical Model for 4D Gaussian Splatting under Uncertainty SIGGRAPH 33 T166 papersGroup size not listed GB UCLDepartment of Computer Science
Develops computer vision and AI for surgical robotics and image-guided intervention.
2026 AnatoDiff: Synthesizing Anatomically Truthful Radiographs With Limited Training Images TMI 2026 Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge Medical Image Analysis 29 T1193 papersGroup size not listed GB UCLDepartment of Computer Science
Emine Yilmaz Professor of Computer Science Leads the Web Intelligence Group, researching information retrieval, search evaluation and conversational systems.
2026 AgentSearch: Indexing, Retrieval, and Ranking of AI Agents SIGIR 2026 Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation ICLR 24 T145 papers7 members6 alumniGB UCLGatsby Computational Neuroscience Unit
Andrew Saxe Professor of Theoretical Neuroscience and Machine Learning Develops the theory of deep learning to analyse learning dynamics in artificial networks and in the brain.
2026 Comparing the learning dynamics of in-context learning and fine-tuning in language models ICLR 2026 Compositionality and systematicity emerge from iterated learning in deep linear networks PNAS 23 T134 papers9 members10 alumniGB UCLDepartment of Computer Science
Tim Rocktäschel Professor of Artificial Intelligence Researches open-endedness, reinforcement learning and self-improving AI agents.
2026 Benchmarking Open-Ended Multi-Agent Coordination in Language Agents NeurIPS 2026 Check Your Work: Structured Checklist Feedback for Improving Large Language Models ACL 21 T141 papersGroup size not listed GB UCLDepartment of Computer Science
Zhibin Li Associate Professor in Swarm Robotics Leads the Advanced Intelligent Robotics Lab, building robots that learn, adapt and cooperate, including legged locomotion learning.
2026 DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands From Third-Person Human Videos ICRA 2026 Learning End-to-End Dexterous Arm-Hand VLA Policies with Shared Autonomy: DexGrasp AI Copilot for Efficient Teleoperation ICRA 21 T136 papersGroup size not listed GB UCLDepartment of Computer Science
Develops computational imaging and machine learning methods for microstructure imaging and for modelling the progression of neurodegenerative diseases.
2026 A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling AAAI 2026 Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks MICCAI 19 T146 papersGroup size not listed GB UCLDepartment of Computer Science
Researches data-efficient machine learning, probabilistic modelling and decision making, with applications in climate and weather, nuclear fusion and robotics.
2026 Uncertainty Quantification of Surrogate Models Using Conformal Prediction Machine Learning: Science and Technology 2025 Calibrated Physics-Informed Uncertainty Quantification ICML 18 T125 papersGroup size not listed GB UCLDepartment of Computer Science
Niloy Mitra Professor of Geometry Processing Leads the Smart Geometry Processing group, developing machine learning frameworks for generative 3D geometry and appearance.
2026 B-repLer: Language-guided Editing of CAD Models Proceedings SIGGRAPH Conference Papers 2026 Foreword to the special section on 3D object retrieval 2025 Symposium (3DOR2025) COMPUTERS & GRAPHICS-UK 18 T143 papersGroup size not listed GB UCLDepartment of Computer Science
Chris Xiaoxuan Lu Associate Professor In Robotics and AI Scales foundation models for embodied AI, with work on robot perception using radar and other sensors.
2026 Attentive Feature Aggregation, Or: How Policies Learn to Stop Worrying about Robustness and Attend to Task-Relevant Visual Cues IROS 2026 M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction CVPR 17 T131 papers6 members8 alumniGB UCLDepartment of Computer Science
Pontus Stenetorp Professor in Natural Language Processing Researches empirical natural language processing, including machine reading and representation learning for language.
2026 Decomposing LLM Computation with Jets ICLR 2026 Language Models Learn Universal Representations of Numbers and Here's Why You Should Care ACL 16 T124 papersGroup size not listed GB UCLDepartment of Computer Science
Researches 3D computer vision, inferring 3D shape and motion of dynamic scenes from single images or moving-camera video.
2026 AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend CVPR 2026 Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction ICLR 15 T120 papers2 members4 alumniGB UCLGatsby Computational Neuroscience Unit
Maneesh Sahani Professor of Theoretical Neuroscience and Machine Learning Develops probabilistic machine learning and data-driven methods to understand how neural populations represent and compute with sensory information.
2026 Dexterous skill discovery via topology-aware Wasserstein dependency NeurIPS 2026 Identifying latent neural dynamics with recognition-parameterized Gaussian process dynamical systems NeurIPS 14 T120 papers8 membersGB UCLDepartment of Computer Science
Ehsan Shareghi Associate Professor in Natural Language Processing Works on predictive models for language in text and speech, including reasoning in large language models.
2026 Cube Bench: A Controlled Diagnostic for Spatial and Sequential Reasoning in Multimodal Large Language Models EMNLP 2026 GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler EMNLP 13 T139 papers5 members24 alumniGB UCLDepartment of Computer Science
Researches computer graphics, combining rendering, perception and deep learning for image synthesis.
2026 Photons x Force: Differentiable Radiation Pressure Modeling TOG 2026 Tabula Rasa: Monte Carlo estimation of unit-variance noise with controlled spatio-temporal correlation SIGGRAPH Asia 12 T123 papers3 membersGB UCLDepartment of Computer Science
Researches computer vision for 3D reconstruction in surgical and medical intervention settings.
2026 A multicentre benchmark dataset for comprehensive landmark-based fetal ultrasound biometry Scientific Reports 2026 Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting RA-L 10 T141 papersGroup size not listed GB UCLDepartment of Computer Science
Mark Colley Associate Professor in Human Computer Interaction Researches human interaction with automated vehicles and AI systems, including explanation and trust calibration in automated driving.
2026 eHMI for All – Investigating the Effect of External Communication of Automated Vehicles on Pedestrians, Manual Drivers, and Cyclists in Virtual Reality CHI 2026 MIRAGE: Enabling Real-Time Automotive Mediated Reality CHI 9 T115 papersGroup size not listed GB UCLDepartment of Computer Science
Designs streaming and compression algorithms for networks and distributed systems, including gradient compression for distributed machine learning training.
2026 DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce SIGCOMM 2026 Honey, I Shrunk the Headers With Flow.ZIP SIGCOMM 9 T122 papers2 members