Research Projects

EEG signal processing from the computer vision perspective

In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

Vision-based crack detection with crack propagation modeling

In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

Machine learning based beacon placement optimization for indoor robots localization

Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to […]

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 […]

System identification: from blind to informed paradigm

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 […]

Advanced sensor device and materials for large-scale water survey

We present in this project a construction of cost-effective microprocessor-controlled wireless portable multi-function monitoring devices for continuous collection of basic water data which include surface salinity, temperature, GPS coordinates, and metal ion concentration. The devices will be equipped with special probes materials for better sensing of sensitivity and selectivity of ion concentration. It is not […]

LANTERN: Low-latency and private edge computing in random-access networks

We are living in a world where connected devices outnumber the human population, and this trend keeps growing: around 24.6 billion connections are forecasted in 2025—more than three times the estimated population. This gives rise to the Internet of Things (IoT) in which virtually all devices are interconnected and continuously share data. The IoT is […]

Telecommunication: Aeronautical mobile and a ground station interactions

Transmission among aeronautical systems and ground stations are of a major importance for numerous operational configurations. In this study, we focus on two aspects of this subject: 1. Transmission link between an UAV (Unmanned Aerial Vehicle) and a ground station: How can we evaluate the transmission and the data rate qualities for spatially remote configurations? […]

Probabilistic knowledge integration in intelligent systems

The major trend of smart systems is to work with big data, from a variety of sources, and the knowledge sources of these systems are often expressed in terms of probability. The integration of knowledge bases of intelligent systems in which knowledge is expressed in the form of logical formulas or knowledge frames has been […]

Fast tensor decomposition algorithms for big data analysis

Large volumes of data are being generated at any given time, especially from transactional databases, multimedia content, social media, and applications of sensors in the Internet of Things. When the size of datasets is beyond the ability of typical database software tools to capture, store, manage, and analyze, we face the phenomenon of big data […]

Interference mitigation, performance, and simulation tool for beam-steering visible light communications networks

Visible light communications (VLC) is considered as the advanced technology for providing indoor communications services in the future. Because VLC access points (VLC-AP) have small coverage, a VLC network needs to deploy multi VLC-APs for providing communications services in large indoor areas. In this project, we have investigated interference mitigation methods of adjacent lightbeams and […]

Signal and data processing for vital sign data

The outbreak of infectious diseases is threatening global health. Especially, in the South-East Asia region have been at serious risk. At mass gathering places, such as, airport quarantine facilities, public health centers, and hospital out patients units, rapid and highly reliable screening methods of infection are urgently needed during the epidemic season for preventing the […]

Extended picture archiving and communication systems

In the age of digitalization, PACS has been used widely in hospitals and medical centers. In this research, we establish a extended picture archiving and communication systems to assist radiologist and oncologist in accessing the medical image. The extended PACS is builded based on an open source PACS which is compatible to standard communication […]

Improving karyotyping of human chromosomes using deep learning

Karyotyping based on biomedical image processing acts an crucial role in gene analysis, enabling geneticist to diagnose several genetic diseases and genetic disorder such as Down syndrome, leukemia, etc. In current workflow, geneticist use conventional biomedical image processing method to separate the chromosomes either manually or semi-automatically. Karyotyping often requires geneticist to analysis dozens […]

CT image analysis for liver cancer intervention using convolutional neural networks

Liver cancer is the sixth most common cancer worldwide and the most common cause of death from cancer in Vietnam. In this project, we focus on applying AI in order to improve liver interventions for liver cancer treatment using the radiofrequency ablation (RFA) and Radioembolization (TARE). Two main problems we are solving are: Improving the […]

Cyber-attack detection and information security in Industry 4.0

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 […]

Robust and structured subspace 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 […]