CIRCLE
CIRCLE
My group at Imperial College London works across machine learning, computer vision, geometry, topology, learning theory, and scientific machine learning (AI4Science).
See
CIRCLE Group Website
.
CIRCLE group brings together mathematical, computational and empirical work. We develop our projects in close collaboration and unison, embodying open communication, open science, and open source across all research areas we work on.
Visit the group website ↗
Principal investigator
1
Postdoctoral researchers
6
Dong-Sig Han
Postdoctoral Research Associate
Geometry, learning, and interaction for intelligent agents.
Jiří Minarčík
Postdoctoral Research Associate
Geometry of evolving curves and surfaces, computation and data.
Lennart Bastian
Postdoctoral Research Associate
RS Netwon Fellow. Geometry, topology, and machine learning for scientific and medical data.
Melih Barsbey
Postdoctoral Research Associate
Robustness, compressibility, and representation structure in machine learning.
Navami Kairanda
Postdoctoral Research Associate
Physics-informed AI for visual computing, simulation, and inverse problems.
Simone Foti
Postdoctoral Research Associate
Geometric deep learning, graphics and vision on meshes and shapes.
PhD students
14
Christine Zeh
PhD Student
Topological deep learning for particle-event reconstruction at CERN.
Andjela Todorovic
PhD Student
Geometric and topological learning with explainable AI.
Caner Korkmaz
PhD Student
Generative 3D vision, topological data analysis, and generalisation.
Edward Stevinson
PhD Student
Mechanistic interpretability, feature superposition, and adversarial robustness.
Emre Ulusoy
PhD Student
Geometry, topology and the foundations of generalisation.
Lucas Prieto
PhD Student
Interpretable feature geometry, compression, and generalisation.
Mario Tuci
PhD Student
Theoretical foundations and generalisation in deep neural networks.
Maximillian Krahn
PhD Student
Topological learning, quantum vision and fair algorithm design.
Nathalie Kirch
PhD Student
Mechanistic interpretability, robustness, and trustworthy language models.
Yiming Huang
PhD Student
Higher-order generative models and topological representation learning.
Yuhao Zhang
PhD Student
Dynamic 3D worlds, 4D perception and generative modelling.
Zhengdi Yu
PhD Student
4D motion representations of articulated bodies and parametric models.
Zhengrui Xiang
PhD Student
Generative model theory for 3D and multimodal data.
Zuhao Liu
PhD Student
Computer vision and generative models for video.
Alumni
5Visitors
Bo Pang
Former Visitor
Geometry processing, computer graphics and neural 3D representations.
Gabriel Nobis
Former Visitor
Fractional noise, generative modelling and life-science applications.
Lisa Weijler
Former Visitor
3D scene understanding and structured latent spaces.
Natacha Kuete Meli
Former Visitor
Quantum algorithms for vision and image processing.
