Signal Processing for Machine Learning

Machine learning for signal processing

Tensor Decomposition for Medicine

Selected Publications L.T. Thanh, K. Abed-Meraim, N.L. Trung, P. Ravier, O. Buttelli, A. Holobar. Tensor-based Higher-Order Multivariate Singular Spectrum Analysis and Applications to Multichannel Biomedical Signal Analysis. Signal Processing, 2025. L.T. Thanh, K. Abed-Meraim, N.L. Trung. Higher-Order Singular Spectrum Analysis For Multichannel Biomedical Signal Analysis. European Signal Processing Conference (EUSIPCO), 2024. Le Trung Thanh, Nguyen […]

Epilepsy

Selected Publications Le Trung Thanh, Nguyen Thi Anh Dao, Nguyen Viet Dung, Nguyen Linh Trung, and Karim Abed-Meraim. Multi-channel EEG epileptic spike detection by a new method of tensor decomposition. IOP Journal of Neural Engineering, 17(1):016023, January 2020. Le Thanh Xuyen, Le Trung Thanh, Nguyen Linh Trung, Tran Thi Thuy Quynh, and Nguyen Duc Thuan. […]

Generative AI in Medicine

Selected Publications Trinh Ngoc Huynh, Nguyen Duc Kien, Nguyen Hai Anh, Dinh Tran Hiep, Manuela Vaneckova, Tomáš Uher, Jeroen Van Schependom, Stijn Denissen, Tran Quoc Long, Nguyen Linh Trung, and Guy Nagels. Latent representation learning from 3D brain MRI for interpretable prediction in multiple sclerosis. Machine Vision and Applications, September 2025. [under review] Dam Thai […]

Medical Data Privacy and Security

Selected Publications Le Vu Hieu. Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System for MRI-Based AI Models. Undergraduate Thesis, Vietnam National University Hanoi, June 2026 Le Tuan Anh. Federated Multimodal Neuroimaging for Brain Age Prediction. Undergraduate Thesis, Vietnam National University Hanoi, June 2026 Xinguang Wang, Nguyen Linh Trung, Oliver Y. Chen, Alvaro Javier Vargas Guerrero, Quang Manh […]

Secure Communications

Selected Publications Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen, Nguyen Linh Trung, Nguyen Van Huynh, Dinh Thai Hoang, Marwan Krunz, and Eryk Dutkiewicz. Deep learning-driven friendly jamming for secure multicarrier ISAC under channel uncertainty. IEEE Transactions on Communications, March 2026. [early access]. Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen, Nguyen Linh Trung, Nguyen […]

6G Near-Field Communication

Selected publications Rafik Guellil, Karim Abed-Meraim, Adel Belouchrani, and Nguyen Linh Trung. 3D near-field source localization via tensor decomposition for uniform planar arrays. IEEE Wireless Communications Letters, July 2026. [early access] Rafik Guellil, Karim Abed-Meraim, Adel Belouchrani, and Nguyen Linh Trung. Channel estimation and 3D near-field localization for extremely large antenna arrays. IEEE Transactions on […]

Alzheimer’s Disease

Alzheimer’s disease (AD) is a neurological disorder with symptoms such as deterioration of cognitive function, memory loss, and problems with language and behavior issues. It involves an increasing in amyloid beta and tau protein in the brain, leading to the formation of plaques and tangles that impair normal cerebral function. According to the 2024 World […]

6G Integrated Communication and Sensing (ISAC)

Selected Publications Tran Trong Duy, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Nguyen Linh Trung. Goal-oriented resource allocation for collaborative integrated sensing and communication. IEEE Transactions on Communications, July 2026. [under major revision] Tran Trong Duy, Maxime Ferreira Da Costa, Salah Eddine Elayoubi, and Nguyen Linh Trung. Goal-oriented resource allocation and scheduling for integrated […]

Tensor-based Approach For Multichannel Biomedical Signal Decomposition

Signal decomposition is a crucial technique in the field of signal processing, which separates complex signals into simpler, more interpretable, and meaningful subcomponents. These subcomponents are often referred to as source signals, which can represent different features, properties, or aspects of the original signal. Signal decomposition enables researchers and engineers to gain deeper insight into […]

Tensor Tracking

Tensor decomposition has been demonstrated to be successful in a wide range of applications, from neuroscience and wireless communications to social networks. In an online setting, factorizing tensors derived from multidimensional data streams is however non-trivial due to several inherent problems of real-time stream processing. In recent years, many research efforts have been dedicated to […]

Tensor Decomposition Meets Blind Source Separation

Tensor decomposition plays a crucial role in Blind Source Separation (BSS) by providing a powerful mathematical framework to untangle mixed signals. In the context of BSS, tensors are multi-dimensional arrays that represent the observed mixtures of source signals. Tensor decomposition methods are employed to factorize these high-dimensional tensors into a set of component matrices or […]

Semi-Blind System Identification

System identification (SI) is necessary in many applications to understand and control the behavior of the considered system. In particular, in the inverse problems it is required to identify the relation between the output and input signals of the system in order to restore or extract some information on the latter. In many situations, one […]

Efficient Tensor Decomposition

Selected Publications Le Trung Thanh, Nguyen Linh Trung, Nguyen Viet Dung, and Karim Abed-Meraim. Three-way tensor decompositions: A generalized minimum noise subspace-based approach, REV Journal on Electronics and Communications, vol. 8, no.1–2, pp. 28–45, 2018.

Internet of Medical Things (IMoT)

ASEAN countries face ongoing concerns about infectious diseases due to their tropical climate. ASEAN countries have a humid climate, and epidemics, especially Dengue fever, cause serious health problems for people. UNICEF notes a rise in Dengue fever infections across extensive parts of ASEAN due to climate changes. Vietnam’s Ministry of Health recently reported an increase […]

Cybersecurity

A main driver for smart city development is Industry 4.0, in which ICT helps connect physical systems to the cyber-world, thereby enabling supply chain market more efficient, agile, and customer-focused. However, cyber-security risks become a key concern due to open systems with IP addresses, creating more avenues for cyber-attacks. Information and communication technology (ICT) is […]

Subspace Estimation and Tracking

Modern data analysis faces several challenges in real-life applications. Many real-life systems are required to make decision in (near) real-time while handling several streaming datasets in parallel. In many practical applications, impulsive noise and outliers appear in the data. Tensor datasets are expected to bring more versatile representation than conventional vector or matrix datasets, at […]