Pengli Zhu

About

I am currently a Postdoctoral Fellow in the AIM Group, Department of Electronic Engineering, at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Yixuan Yuan. From 2024 to 2026, I was an ITF Postdoctoral Fellow in the Department of Health Technology and Informatics at The Hong Kong Polytechnic University (PolyU). I received my B.Eng., M.Eng., and Ph.D. degrees from Dalian Maritime University (DMU), where I was supervised by Prof. Yancheng Liu and Prof. Siyuan Liu and worked closely with Prof. Pew-Thian Yap. From 2023 to 2024, I was a Joint-Training Ph.D. Student in the Department of Biomedical Engineering at the National University of Singapore (NUS), supervised by Prof. Anqi Qiu and funded by the scholarship from the China Scholarship Council (CSC).

Research

My current research focuses on medical image analysis, particularly in developing AI-driven computational frameworks for brain-gut disease diagnosis, medical image synthesis, noise correction, and quality assessment. I explore generative frameworks such as conditional diffusion models and attention-based networks to address challenges in unpaired data settings and complex image representations. Previously, I worked extensively on underwater vision, including unsupervised image enhancement and perception-driven control of autonomous vehicles. My research has led to over 20 peer-reviewed publications in leading international journals, including IEEE TPAMI, TMI, and TVT, as well as MedIA, PR, and EAAI, and conferences, including MICCAI and IFAC, as well as several granted patents.