VHR Team

Principal Investigator 

Letizia is an Assistant Professor (UK Lecturer) in the Department of Informatics, Faculty of Natural Mathematical and Engineering Sciences, King's College London. She completed her Ph.D. in Bioengineering at Imperial College London, on hand pose estimation from monocular cameras. She then moved to the United States to work as a postdoctoral fellow at the Biorobotics Lab at Harvard University on computer vision for wearable robotics. In 2023 she joined King's College London as a Lecturer in Computer Vision, where she leads the Vision in Human Robotics Lab.

Research Assistant

Defne is a research assistant working on the project titled "Affordable myoelectric hand prosthetic to improve user experiences and reduce abandonment rates". She is implementing vision-based control strategies for prosthetic hands using traditional and event cameras.  She received a B.Sc. from UCL in Electronic and Electrical Engineering and an MRes in Bioengineering from Imperial College London.

PhD student

Tyrone is a PhD student in Informatics current research focus is on evaluating force sensing from vision for tailored grasping assistance. He completed his master's in computer technology, focusing on computer vision and deep learning at Sun Yat-sen University. His research interests include Computer Vision for Wearable Robotics, Deep Learning, Meta-Learning, Self-Supervised Learning, Few-Shot Learning, Visual Attribute, Computer Vision for Industrial Applications, and Artificial Intelligence.

PhD student

Shirui is a Ph.D. student in Informatics under the supervision of Dr Letizia Gionfrida and Dr Matthew Howard. Prior to joining King’s, he received his MEng degree in Computer Science at University College London. His research interest lies in Computer Vision for control strategies in Wearable Robotic Devices. He is also interested in learning-based control for robots and context-awareness in robot visions.

PhD student

Jinlai is a  PhD student in Informatics under the supervision of Dr. Letizia Gionfrida and Dr. Michael Spratling. He completed his master's degree in artificial intelligence at King's College London. His current research interests include deep learning and computer vision, with particular focuses on small and tiny object detection.