Name：Meng Zhao
Title：Associate Professor
Type of tutor：Master’s Supervisor
Email：zh_m@tju.edu.cn; m_zhao@email.tjut.edu.cn
Address：Room 7-314A, Building No.7; Room 208, Building No.1
Present: Associate Professor and Master’s Supervisor, School of Computer Science and Engineering, Tianjin University of Technology, China.
2019–2020: ERCIM “Alain Bensoussan” Postdoctoral Fellow, Norwegian University of Science and Technology (NTNU), Norway.
2010–2016: Continuous Master–Ph.D. Program in Control Science and Engineering, Tianjin University, China;
2006–2010: B.Eng. in Automation, Tianjin University, China.
Computer Vision; Machine Learning; Medical Image Analysis; Multimodal Data Fusion and Representation Learning; Medical Image Segmentation and Classification; Bio-inspired and Intelligent Imaging Algorithms
I. Principal Investigator (PI)
(1) Young Scientists Fund (NSFC, 61703304) | Multichannel Pleural Effusion Tumor Cell Cluster Recognition | 0.25M RMB | Jan. 2018–Dec. 2020 | Completed
(2) ERCIM "Alain Bensoussan" Fellowship | Early Cancer Diagnosis System (ML + Big Data) | 0.35M RMB (43,320€) | May 2019–Apr. 2020 | Completed
(3) Industry Cooperation (Beijing Qingyun) | Hyperspectral Endoscopic Tumor Recognition System Development | 0.3M RMB | Sep. 2024–Oct. 2027 | In Progress
(4) University Cooperation | Intelligent Early Warning for Neurodegenerative Diseases | 0.1M RMB | Jun. 2020–Dec. 2020 | Completed
(5) CAS Cooperation | Offline Map Construction & Real-Time SLAM Software | 0.24M RMB | Oct. 2024–Apr. 2025 | In Progress
(6) Institute Cooperation | R&D of Intelligent Perception Technology for In-Service Wharves | 0.15M RMB | Sep. 2023–Dec. 2023 | Completed
II. Co-Investigator (Participant)
(1) Key Joint Fund Project (NSFC) | Hyperspectral Endoscopic Imaging & Intelligent Tumor Recognition | 2.6M RMB | Jan. 2024–Dec. 2027 | In Progress
(2) Key International Cooperation (NSFC) | Task-Driven Active Visual Perception for Marine Environment | 2.32M RMB | Jan. 2021–Dec. 2025 | In Progress
(3) Military-Civilian Integration Project | XXX with Embedded Visual Knowledge | 5.76M RMB | Jan. 2021–Dec. 2024 | Completed
(4) Equipment Pre-Research Joint Fund | Autonomous Unmanned System Collaboration in Complex Scenarios | 1.5M RMB | Jan. 2024–Dec. 2026 | In Progress
(5) Tianjin Municipal Education Commission Project | Multichannel Molecular Intelligent Chip | 0.06M RMB | Oct. 2018–Sep. 2021 | Completed
(6) Tianjin AI Major Special Project | Intelligent Analysis of Multi-Granularity Surveillance Data | 2M RMB | Oct. 2018–Sep. 2021 | Completed
(7) Industry Cooperation (Tianjin Lüdong) | Intelligent Monitoring of Offshore Floating Photovoltaic Systems | 9.9M RMB | Nov. 2023–Dec. 2024 | In Progress
(1) Zhang Y, Xu G, Zhao M*, Wang H, Shi F, Chen S. TDSF-Net: Tensor Decomposition-Based Subspace Fusion Network for Multimodal Medical Image Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(6): 10819-10833.
(2) Zhao B, Zhang Y, Zhao M*, Xu G, Wang C. Adaptive auxiliary diffusion for multi-modal brain tumor segmentation with random missing modalities[J]. Biomedical Signal Processing and Control, 2025, 109: 108015.
(3) Su M, Zhang Y, Kaaniche M, Wang C, Zhao M*. SR-MedTS: A Semantically-Robust Synergistic Framework for Multi-modal Medical Image Translation and Segmentation[C]//Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2025: 2803-2809.
(4) Zheng J, Chen J, Zhao M*, Shi F, Yu P, Chen S. Enhancing terahertz spectral recognition of lung cancer cells through synthetic signal generation[J]. IEEE Sensors Journal, 2024, 24(20): 32480-32487.
(5) Zhang X, Zhao M*, Zhang Y*, Ao J, Yang H, Wang C, Chen S. T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-13.
(6) Zheng J, Shi F, Zhao M*, Chen J, Wang C*. Learning intra-inter-modality complementary for brain tumor segmentation[J]. Multimedia Systems, 2023, 29(6): 3771-3780.
(7) Zhao M*, Wang S, Shi F, Chen J, Sun X, Chen S. Synthetic-to-real: instance segmentation of clinical cluster cells with unlabeled synthetic training[J]. Bioinformatics, 2022, 38(S1): i53-i59.
(8) Zhao M*, Wang H, Han Y, Wang X, Dai H N, Sun X, Zhang J, Pedersen M. SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement[J]. Future Generation Computer Systems, 2021, 114: 185-194.
Machine Learning(for PhD students); C Programming; Algorithm.
(1) ERCIM “Alain Bensoussan” Fellow.
(2) Tianjin “131” Talent Program.
(3) Young Reserve Talent Program of Tianjin Universities.
