Medical Imaging
Postdoctoral Fellow · AI in Healthcare
Faizan Ahmad
About
I am a Postdoctoral Fellow at King Fahd University of Petroleum and Minerals, working on deep learning, computer vision and AI in healthcare. My research specialises in medical image analysis — developing optimised algorithms that enhance diagnostic accuracy and clinical decision-making.
My doctoral work built an automated hybrid deep learning framework for cardiac ventricular segmentation and pathology classification from cine MRI, combining an enhanced U-Net with a Dilated Residual Network and a semi-supervised approach that leverages time-series motion features. Alongside cardiac imaging, I work on AR/MR-assisted dental treatment, medical robotics, and multimodal learning for neurological and stroke imaging — consistently in collaboration with cardiologists, radiologists and clinicians to keep model architectures aligned with real clinical use.
Deep Learning
Medical Image Analysis — MRI, CT, US
Computer Vision
Medical Robotics
Education
Sept 2021 – Dec 2024
Ph.D., Pattern Recognition and Intelligent Systems
University of Chinese Academy of Sciences, China
An Automated Hybrid Deep Learning Approach for Cardiac Ventricular Segmentation and Pathology Classification
Sept 2017 – Jun 2020
M.S., Information and Communication Engineering
Nanjing University of Aeronautics and Astronautics, China
Research on Pedestrian and Face Detection Based on Deep Learning for Autonomous Vehicles
Sept 2009 – Jul 2013
B.S., Electrical Engineering
National University of Computer and Emerging Sciences, Pakistan
Work Experience
March 2026 – Present
Postdoctoral Fellow
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Multi-modality models for automated cardiac ventricle segmentation and pathology classification, validated across cardiac datasets with cardiologists and radiologists.
April 2025 – March 2026
Postdoctoral Fellow
Shenzhen Technology University, Shenzhen, China
Vision-language models for automated lung cancer detection in chest CT, with NLP pipelines for automated radiology report generation.
Research Interest
Augmented Reality
15
Publications
1
Book Chapter
Research Output
Publications
Journal impact factors and JCR quartiles are shown where available. The full list is also on Google Scholar.
2026
2025
2024
2023
No publications match that filter.
Patent & Book Chapter
A Fully Automatic Cardiac Magnetic Resonance Imaging Segmentation Method Based on Expansive Residual Network
AI in Medical Examination — in Artificial Intelligence in Business and Engineering
Community
Service
Peer review for journals in medical imaging, biomedical informatics and machine learning.
Journal Reviewer
- IEEE Journal of Biomedical and Health Informatics
- IEEE Transactions on Medical Imaging
- Computerized Medical Imaging and Graphics
- Medical Physics
- Knowledge-Based Systems
- Nature Scientific Reports
- IEEE Access
Conferences & Workshops
- IEEE Int. Conf. on Advanced Intelligent Mechatronics (AIM), Seattle, USA2023
- IEEE Int. Conf. on Signal and Image Processing (ICSIP), Wuxi, China2019
- Workshop on GPU-accelerated Computing and Deep Learning, Nanjing, China2018
Fellowships & Awards
- Shenzhen Universiade International Scholarship (SUISF)2022, 2023
- Dean's Scholarship Award, CAS/SIAT2022
- Doctoral Scholarship, UCAS (Full)2021
- Best Paper Presentation, IEEE2019
- CSC Graduate Scholarship for International Students2017
Get in Touch
Contact
I am always glad to hear from researchers and clinicians working on medical image analysis, AI for healthcare, and medical robotics. Email is the best way to reach me.
ahmadfaizan645@gmail.com
Institution
King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
Profiles