Qifan Fu

Qifan Fu

PhD student

Curriculum Vitae

Download a copy of my CV here

Education

PhD in Computer Science and Electronics Engineering,
Queen Marry University of London, United Kingdom
PhD Research Topic: AI-Based Cardiac Image Computing

Master of Science in Electronics and Information Engineering,
Jeonbuk National University, Jeonju, Republic of Korea
Master Research Topic: Applications of Computer Vision to Healthcare and Precision Agriculture

Bachelor of Science in Electrical and Electronics Engineering,
Bahria University Islamabad, Pakistan
Bachelor Research Topic: Deep learning-based Segmentation of Retinal Layers from OCT images
Magna Cum Laude Award For Outstanding Academic Achievements

Research Assistant

McDonald Institute for Archaeological Research, University of Cambridge, United Kingdom
I worked on facial emotion recognition in visual arts. The project’s goals include: Gathering a small training dataset of sculptures to analyze their emotions, using the existing facial emotion algorithms to assess the emotional potency of art, and coming up with unique ideas to improve the accuracy of multi-label classification problems.

Graduate Student Researcher

Core Research Institute of Intelligent Robots, Jeonbuk National University, Republic of Korea
I worked on different projects related to medical image processing and intelligent farming using state-of-the-art computer vision algorithms to solve the problems like classification, object detection, depth estimation, and segmentation for precision agriculture and healthcare. The goal of my research is to design efficient deep learning modules for real-time applications by reducing the parameterized complexity and inference time of the algorithms.

Internee

National Institue of Electronics
I worked on the project “Distance estimation between human and camera”. In the first part, a human was detected in live video and then found his distance from the camera using stereo vision techniques.

Publications

Skills