Prof. Amir Bar — Research Profile
Imperial College London · Department of Computing
Graduate application deadlines
Department of Computing
PhD in Computing Research
2027-28 (April/October 2027 entry)Round 1 (지남)
Oct 1, 2026
Closed
President's PhD Scholarships round 1
Nov 2, 2026 23:59 GMT
Closed
Round 2 (결과 통보 2027-04-15)
Dec 1, 2026
President's PhD Scholarships round 2
Jan 11, 2027 23:59 GMT
Round 3 (결과 통보 2027-06-15)
Feb 1, 2027
President's PhD Scholarships round 3
Mar 1, 2027 23:59 GMT
Round 4 (결과 통보 2027-07-15)
Apr 1, 2027
MSc Advanced Computing
2027-28Round 2
Jan 6, 2027
Round 3
Mar 10, 2027
Round 4
Apr 28, 2027
Source: imperial.ac.ukChecked Nov 2, 2026
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PIAbout
Prof. Amir Bar at Imperial College London Department of Computing lists Self-supervised learning, world modelling, deep learning, computer vision as their registered research area.
Research keywords
Recent papers
- Native Action-Prior Learning from Videos for World Action ModelsPreprintarXiv (Cornell University) · Oct 2
- World Action Modeling with Progressive Visual PlanningPreprintarXiv (Cornell University) · Oct 1
- Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World ModelsPreprintarXiv (Cornell University) · Sep 28
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Reinforcement Learning in Robotics
Jun Wang Lab
University College London · Department of Computer Science
Information-Time Proximal Policy OptimizationPreprintarXiv (Cornell University) · Sep 21Amanda Prorok Lab
University of Cambridge · Department of Computer Science and Technology
Learning Robot Behavior Priors from Non-Robotic Synthetic DataPreprintarXiv (Cornell University) · Oct 22Jakob Foerster Lab
University of Oxford · Department of Engineering Science
Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable DomainsNewPreprintarXiv (Cornell University) · Nov 4
Other labs in this department
- Abbas Edalat Lab
Computational geometry, optimization theory, game theory
- Alastair Donaldson Lab
Formal verification, software performance optimization
- Aldo Faisal Lab
Neurotechnology, machine learning, algorithmic behavior prediction
- Alessandra Russo Lab
Computational logic, logic-based machine learning, autonomous systems
- Alessio Lomuscio Lab
AI verification, computer vision validation, certified learning
- Andrew Davison Lab
Computer vision, robotics, SLAM, augmented reality