Team
Krystian Mikolajczyk
Professor in Computer Vision and Machine Learning
Krystian received his undergraduate degree from the AGH University of Science and Technology in Krakow, Poland, and completed his Ph.D. at the Institut National Polytechnique de Grenoble, France. He subsequently held research positions at INRIA, the University of Oxford, and the Technical University of Darmstadt. He joined the University of Surrey as a Lecturer and, in 2015, was appointed Reader at Imperial College London.
His research focuses on image and video recognition, with emphasis on visual matching, representation, and learning. He has contributed to numerous UK and EU-funded projects in visual analysis and regularly publishes in leading venues in computer vision, pattern recognition, and machine learning. Dr. Mikolajczyk has held key organizational roles in major international conferences, including co-chairing BMVC (2012, 2017) and AVSS (2013). In recognition of his contributions, he received the Longuet-Higgins Prize in 2014 from the IEEE Technical Committee on Pattern Analysis and Machine Intelligence.
Ye Mao
Ph.D. (2023 ~ Present)
Ye received an M.Phil. in Medical Sciences from the University of Cambridge, an M.Sc. in Applied Machine Learning from Imperial College London, and a B.Sc. in Computer Science from King’s College London.
His research focuses on computer vision and machine learning, with particular interests in 3D scene understanding, vision-language models, and open-vocabulary learning. His Ph.D. is supported by the Imperial President’s Scholarship.
Ranran Huang
Ph.D. (2024 ~ Present)
Ranran received her M.Eng. from Tsinghua University, where she was supervised by Professor Yu Wang, and a B.Sc. from Wuhan University.
Her research lies in computer vision and machine learning, with a current focus on minimally supervised approaches to 3D computer vision.
Weixun Luo
Ph.D. (2024 ~ Present)
Weixun received his M.Eng. degree in Biomedical Engineering from Imperial College London under the supervision of Professor Martyn Boutelle. As part of his program, he completed a one-year research placement at Perspectum Ltd., working on medical image processing supervised by Dr. Paul Aljabar and Sir Michael Brady.
His current research centres on developing learning algorithms aimed at advancing general machine intelligence, with a particular interest in bio-inspired approaches and learning from visual experience.
Haotian Wu
Ph.D. Alumni (2021 ~ 2024)
Haotian is now a postdoctoral research associate at the INFORMED AI Hub, working in the Department of Electrical and Electronic Engineering, Imperial College London, under the supervision from Prof. Pier Luigi Dragotti and Prof. Deniz Gunduz. He is interested in information theoritcal machine learning, with application in communication, control, and computer vision.
Previously, he obtained his Ph.D. supervised by Prof. Deniz Gunduz and Prof. Krystian Mikolajczyk. He got his B.Eng. and M.Eng. in Electrical Engineering at Zhejiang University. He was also awarded Master Degree with distinction in Control Systems at Imperial College London in 2018, supervised by Prof. Richard Vinter and Prof. Alessandro Astolfi.
Benedikt Kolbeinsson
Ph.D. Alumni (2018 ~ 2024)
Benedikt’s research focuses on advancing deep learning methods and developing novel approaches to solve challenging problems. He specialises in computer vision, particularly for fully autonomous drones, as well as LLMs, RAG, diffusion models and knowledge distillation.
Dylan Auty
Ph.D. Alumni (2018 ~ 2024)
Dylan’s research centred around deep learning approaches to depth estimation and scene reconstruction, particularly from single images.
Maojun Zhang
Visiting Ph.D. Alumni (2023 ~ 2024)
Maojun is a Ph.D. student in the field of wireless communication, working at Zhejiang University.