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Research Assistant Professor (HKU)
Principle Scientist of CONOVA

Manager of CONOVA (Beijing)
Co-director of Digital Health Laboratory

Link

Dr.Nan Meng

Nan Meng received his Ph.D. degree in 2020 in Electric and Electronic Engineering from The University of Hong Kong. At HKU, he conducted research for image-based cancer diagnosis and released the first large-scale dataset for human somatic bright-field cells. He also conducted research for Light Field Reconstruction in the Imaging Systems Laboratory, supervised by Prof. Edmund Y. Lam. During his PhD, he consulted for an AI company in the areas of multi-view imaging systems and HKU Medicine School about medical image processing and analysis. After graduation, Dr. Meng joined the Digital Health Laboratory in HKU as a postdoc for over 2 years to conduct research in intelligent orthopaedics. At present, he is a research assistant professor.

His research interests include computational optics and imag-ing, from algorithms to applications and medical image analysis. His research direction includes light-field reconstruction, view synthesis, depth estimation and medical imaging.

Dr.Nan Meng

"I am currently a senior researcher and engineer in HKU O&T Department, focusing on intelligent solutions for bone disease using deep learning techniques. I am mainly leading two medical projects, i.e., AlignPro and MSKAlign Wukong. We always welcome students, researchers, and engineers from different regions worldwide who have an interest in artificial intelligence techniques (deep learning, machine learning, etc) for real medical and clinical problems. We continue to recruit multiple research assistants and algorithm scientists."

Projects





Publication

 ■ Materials Science

Select Publication

■Clinical

■Computer Science

■Bioinformatics



[J] Meng, Nan and Cheung, Jason Pui Yin and Wong, Kwan-Yee Kenneth Wong and Moxin Zhao and Ashish Diwan and Zhang, Teng, "Radiograph-comparable image synthesis for spine alignment analysis using deep learning with prospective clinical validation", Lancet: eClinicalMedicine, May 2023. (IF: 15.1)■


[J] Meng, Nan and Cheung, Jason Pui Yin and Wong, Kwan-Yee Kenneth Wong and Dokos, Socrates and Li, Sofia Pik Hung and Choy, Richard W. and To, Samuel Ching Hang and Li, Ricardo J. and Zhang, Teng, "An Artificial Intelligence Powered Platform for Auto-Analyses of Spine Alignment Irrespective of Image Quality with Prospective Validation", Lancet: eClinicalMedicine, January 2022. (IF: 15.1)■
DOI: 10.1016/j.eclinm.2021.101252


[J] Nan Meng, Kai Li, Jianzhuang Liu, and Edmund Y. Lam, “Light Field View Synthesis via Aperture Disparity and Warping Confidence Map”, IEEE Transactions on Image Processing, March 2021. (IF: 11.041)■
DOI: 10.1109/TIP.2021.3066293


[J] Nan Meng, Hayden K.-H. So, Xing Sun, and Edmund Y. Lam, “High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 873-886, March 2020. (IF: 24.314)■
DOI: 10.1109/TPAMI.2019.2945027


[J] Nan Meng, Edmund Y. Lam, Kevin K.-M. Tsia and Hayden K.-H. So, “Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning”, IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 5, pp. 2091-2098, 2019. (IF: 7.021)■
DOI: 10.1109/JBHI.2018.2878878

Fundings & Grants

2025/01 - 2027/12

National Natural  Science Foundation of China Young Scientists Fund (No. 8240073987), 300,000 RMB, Principal Investigator.

2024/06 - 2026/05

Seed Fund for Basic Research for New Staff, 150,000 HKD, Principal Investigator, (on-going)

2024/06 - 2027/06

Seed Fund for Research Impact Fund, No. 2307102464, 1000,000 HKD, Co-Investigator, (on-going)

2023/11 - 2026/01

Department Seed Fund, 200,000 HKD, Principal Investigator, (on-going)

2025/01 - 2027/01

Department Seed Fund, 100,000 HKD, Principal Investigator, (on-going)

Additional

IEEE SPS SigMA Program (2025-26)

I serve as a registered mentor in the IEEE Signal Processing Society’s Signal Processing Mentorship Academy (SigMA) program. This global initiative pairs early-career researchers (undergraduate or graduate students) with established experts in signal processing for a 9-month collaborative research project, culminating in a joint publication and presentation at ICASSP.



The program is designed to foster international academic exchange, hands-on research training, and long-term mentorship. If you are a motivated student interested in AI/ML for biomedical signal and image processing, feel free to reach out regarding potential collaborations under the SigMA framework.



​More info: SigMA Program Overview


Biomedical, Medical, Clinical

IEEE JBHI (2019-2024), IEEE TMI (2021), IEEE TMRB (2025), PLOS ONE (2023-2024), Scientific Report (2023-2025),

The Bone & Joint Journal (2025)

ISBI (2023-2024), EMBC (2023-2024), Big Data Mining and Analytics (2025)

Lancet eClinicalMedicine (2024)

JMIR (2025)

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Computer Vision

IEEE T-PAMI (2024-2025), IEEE TIP (2019-2024), IEEE TCI (2019-2025), IEEE TNNLS (2023), IEEE TMM (2023,2025), IEEE TCSVT (2023),

IEEE Signal Processing Letters (2025)

ACM TOMM (2024-2025)

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Robotics

IEEE/ASME Transactions on Mechatronics (2024)

​

Computer Graphics

Pacific Graphics (2023)

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Optics

OSA JOSA A (2021), Optics and Lasers in Engineering (2024)

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Others

Springer SIVP (2021-2023), Springer TVCJ (2023), Computers in Biology and Medicine (2024)

Opportunities

Digital Health Laboratory (under O&T Dept, HKU) welcomes applications from high potential candidates with academic excellence, research ability and potential, and good communication, and interpersonal abilities for multiple research and engineering positions, including Research Assistant, Mphil, PhD and PostDoc Fellow. We are also looking for Algorithm Researchers, Algorithm Engineers, Data Scientists, and Technicians working in either Mainland (Beijing, Shenzhen) or Hong Kong.

If you have interest, please fill in the following information with your Résumé/CV (link) and apply. We will contact you!

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mskalign® PACS

mskalign® Wukong

mskalign® AlignPro&AlignPro CARE

mskalign® 4DBrace

The Multiview Markerless
Magnetic Location system

Privacy-preserving and Efficient
Distributed Deep Learning in Healthcare

Machine-learning Modeling & Magnetic Monitoring for Scoliosis Correction

Diseases Classifications
and Progress Predictions

Medical Image Registration
and Navigation

Orthopaedic Biomechanics
and Implant Design

3D Quantitative Analysis
& Surgical Planning

Multi-View Mark-Less
Surgical Navigation System

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