• Viện Tiến tiến về Kỹ thuật và Công Nghệ (AVITECH)

  • Xê-mi-na khoa học

    18/05/2021: TS. Nguyễn Phi Lê (ĐH Bách Khoa Hà Nội), A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting

    Recently, with rapid industrialization and urbanization, air pollution is becoming an increasingly painful issue than ever in Vietnam. So far, air monitoring has been carried out by using monitoring stations located at fixed locations. However, due to the cost of installation, deployment, and operation, the number of monitoring stations deployed is often very small. As […]

    11/05/2021: TS. Ngô Khắc Hoàng (ĐH Công nghệ Chalmers, Thụy Điển), Massive Uncoordinated Random Access for the Internet of Things

    Under the paradigm of the Internet of Things (IoT), a major challenge in next-generation wireless networks is to serve a very large number of connected devices. IoT devices are mostly battery limited and transmit short packets in a sporadic and uncoordinated manner. This calls for new theoretical frameworks that help to understand the fundamental limits […]

    04/05/2021: TS. Nguyễn Tấn Như (Univ. Caen Normandy, France), Real-time Computer Vision System for Tracking Simultaneously Subject-specific Rigid Head and Non-rigid Facial Mimic Movements using a Contactless Sensor and System of System approach

    Head and facial mimic animations play important roles in various fields such as human-machine interactions, internet communications, multimedia applications, and facial mimic analysis. Numerous studies have been trying to simulate these animations. However, they hardly achieved all requirements of full rigid head and non-rigid facial mimic animations in a subject- specific manner with real-time framerates. […]

    20/04/2021: TS. Bùi Duy Hiếu (ĐH Công nghệ, ĐHQGHN), Security Hardware and Hardware Security for Ultra-low-power IoT: New challenges & Opportunities

    The Internet of Things (IoT) has been fostered by accelerated advancements in communication technologies, computation technologies, sensor technologies, artificial intelligence, cloud computing, and semiconductor technologies. During IoT’s operations, it may collect, transmit and process secret data, which raises security problems. Implementing security mechanisms for ultra-low-power and low-cost IoT devices is challenging because they are intended […]

    13/04/2021: TS. Đặng Nam Khánh (ĐH Công nghệ, ĐHQGHN), Fault-tolerance through-silicon-via for 3-D integrated circuits

    Through-Silicon-Via (TSV) is considered as the nearfuture solution to realize low-power and highperformance 3D-Integrated Circuits (3D-ICs) and 3DNetwork-on-Chips (3D-NoCs). However, imperfection in TSV-based IC manufacture has been one of the most critical challenge for realizing this technology. Moreover, the lifetime reliability issue of TSV due to its fault sensitivity and the high operating temperature of […]

    06/04/2021: ThS. Qiuchen Zhu (Univ. Technology Sydney, Australia), Hierarchically Residual Network for feature extraction

    In machine vision, the key to object detection rests with robust and accurate algorithms for feature extraction. To this end, this paper proposes a deep learning approach using hierarchical convolutional neural networks with feature preservation (HCNNFP) and an intercontrast iterative thresholding algorithm for image binarization. First, a set of branch networks is proposed, wherein the […]

    30/03/2021: TS. Hoàng Gia Hưng (ĐH Công nghệ, ĐHQGHN), Random finite set theory and its application in signal processing

    Random finite sets (RFS) or simple finite point processes are stochastic geometric models in stochastic geometry – a branch of mathematics that studies connections between geometry and probability. Stemming from the famous Buffon’s needle problem, stochastic geometry has since found applications in many diverse areas including astronomy, agriculture/forestry, epidemiology, image analysis, and telecommunications. In this […]

    16/03/2021: ThS. Lê Trung Thành (AVITECH), Adaptive algorithms for tensor tracking

    Tensor decomposition that factorizes a tensor (i.e., multiway arrays) into a sequence of basic components has become a popular analysis tool for processing high-dimensional and multivariate data. In online applications, data acquisition is often a time-varying process in which data are serially collected or changing with time. This has led to defining a variant of […]

    09/03/2021: GS. Mérouane Debbah (Huawei France Research Center, France), Breakthrough Research: From Innovation to Invention

    Prof. Merouane Debbah will talk about breakthrough research, focusing on Mathematics and Algorithms for Information and Communication Technology (ICT). He will in particular explain the various research domains, going from business-driven to technology-driven and, more recently, innovation-driven research. The talk will be followed by a Q&A session. Speaker: GS. Mérouane Debbah, Vice-President of Huawei France […]

    03/02/2021: TS. Pierre Ambrosini (Erasmus MC, Netherlands), Automatic Detection of Cribriform Growth Pattern in Prostate Histology Images

    Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a method to detect such patterns automatically. To do so, convolutional neural network was trained to detect cribriform growth patterns. To benchmark method performance, intra- and inter-observer variability has been evaluated. In the presentation we will discuss the method, the […]

    26/01/2021: ThS. Phạm Văn Thành (Univ. Fire Prevention and Fighting), Highly Accurate Step Counting at Various Walking States Using Low-Cost Inertial Measurement Unit Support Indoor Positioning System

    Accurate step counting is essential for indoor positioning, health monitoring systems, and other indoor positioning services. Nevertheless, over-counting, under-counting, and false walking problems are still encountered in these methods. In this research, we propose to develop a highly accurate step counting method to solve these limitations by proposing four features: Minimal peak distance, minimal peak […]

    29/12/2020: TS. Nguyễn Việt Dũng (ENSTA Bretagne, Brest, France), Telecommunication: Aeronautical mobile and a ground station

    Transmission among aeronautical systems and ground stations are of a major importance for numerous operational configurations. The International Telecommunication Union (ITU) officially recommends a model mainly based on the IF-77 electromagnetic wave propagation model. However, French team at ITU showed some drawbacks of the proposed model related to ITU recommendations P.525 and P.526 for areas […]

    01/12/2020: ThS. Trần Việt Khoa (AVITECH), Federated transfer learning for Cyberattack Detection Systems in IoT Industry 4.0

    Industry 4.0, known as the fourth industrial revolution, is a vision of smart factories developed based on intelligent cyber-physical systems. It greatly boosts the development of automation and data exchange in manufacturing technologies, which includes cyber-physical systems, the Internet-of-things (IoT) and cloud computing. Security challenges specific to Industry 4.0 are due to the enormous complexity […]

    24/11/2020: GS. Theo van Walsum (Erasmus MC, Netherlands), Image guidance in interventions and therapy

    Minimally invasive interventions are beneficial for patients, but come at the expense of the physician: tactile and visual feedback is often limited. Traditionally, navigation systems have been used to assist physicians in (minimally invasive) interventions. Such systems are not applicable in minimally invasive interventions in soft tissue. At the BIGR group, we have been developing […]

    17/11/2020: TS. Phan Quốc Huy (Queen Mary Univ. London, UK), Machine learning applied to home-based healthcare monitoring

    The ongoing demographic change has resulted in a large aging population with increased life expectancy in many countries around the world. Consequently, it raises an urgent need for efficient, accessible, cost-effective, and scalable healthcare solutions that can serve a large number of aging people. There is a great opportunity to explore state-of-the-art computational modelling techniques […]

    03/11/2020: TS. Đinh Trần Hiệp (AVITECH), Summit Navigator automatic thresholding for image binarization with application to crack detection

    Machine vision has found many industrial applications. For surface inspection, a straightforward and effective segmentation algorithm is of vital importance for a successful extraction of crack pixels from the image background. This work presents a novel binarization method using Summit Navigator for local maxima extraction and contrast-based region merging without any prior knowledge about the […]

    27/10/2020: TS. Daniel Franklin (Univ. Tech. Sydney, Australia), Nanocomposite and Transparent Ceramic Monolithic Scintillators – a Pathway to Low-Cost PET

    One of the main factors in the cost of PET scanners is the scintillator crystals used to detect the 511 keV gamma photons emitted from positron annihilations. Conventional PET systems utilise huge numbers of tiny individual crystals, with complex light-sharing schemes needed to obtain depth of interaction (DOI) information. While monolithic scintillators offer a simpler […]

    13/10/2020: TS. Phạm Duy Hưng (ĐH Công nghệ), Distributed Coverage Control for Networked Multi-Robot System in Any Environments

    In this seminar, we present a distributed coverage control for networked multi-robot systems in any environments. The distributed coverage control is developed by combining the interconnected hexagon-lattices based coverage and the hierarchical distributed control of networked multi-robot systems. The distributed coverage control is capable of driving mobile robots to move in the network to cover […]

    29/09/2020: GS. Quang Hà (Univ. Technology Sydney, Australia), Dependable Low-Cost Sensing Networks for Monitoring Purposes

    Availability, integrity, maintainability, reliability, resilience, security & safety are desired attributes for modern systems. Such systems are called dependable. In this seminar, I will present recent results of low-cost sensing networks for air quality monitoring in suburban areas of Sydney. Techniques for achieving system dependability will be discussed, including sensor colocation and machine learning. Other […]

    22/09/2020: ThS. Phạm Minh Tuấn (Aix-Marseille University, France), AutoEncoder-Based Feature Ranking for Alzheimer Disease Classification using PET Image

    Alzheimer Disease (AD) is becoming a major type of neurodegenerative brain disease in elderly people. Early detection and diagnosis of AD is of crucial importance for developing treatments. Fluorodeoxyglucose positron emission tomography (FDG-PET) is one of the most effective biomarkers which helps to diagnose AD early. One major challenge of PET-based classification is the very […]

    15/09/2020: TS. Lưu Mạnh Hà (AVITECH), DLAD: Image Processing Method based on CNN and Anisotropic Diffusion Filter for Improving Medical Image Compression, Applied for Teleinterventions using 3D Medical Images

    Tele-radiology is increasingly being used on a large scale worldwide. Image compression while preserving the quality of the image is essential in clinical diagnostic and treatment. Compression is especially relevant if the bottleneck in lively viewing the image is in the image transfer over poor Internet connection condition. This talk presents a framework for organ-specific […]

    05/09/2020: TS. Nguyễn Hoàng Quân (ĐH Công nghệ), Integration and Testing Challenges of Nano Satellites: Experiences from a Space Technology Project

    Since the dawn of space-age, many artificial satellites have been launched and operationalized by many space-faring nations for Earth observation, Communication, Navigation, and Space sciences applications. Nano Satellites offer a compelling alternative to large space projects, with the capability to support commercial, governmental, academic applications responsively and cost-effectively. Also, Nano Satellites have a lot of […]

    04/07/2020: ThS. Nguyễn Đình Chinh (ĐH Công nghệ), Fast Heart Rate Estimation via Continuous-Wave-Doppler Radar System using Combination of Empirical Mode Decomposition and Continuous Wavelet Transform

    Contactless measurement of heart rate based on continuous-wave Doppler radar may act an essential role in the future of medical practice. The continuous-wave Doppler radar measures the displacement of wall chest induced by heart and respiration activities. The significant advantage of this technique is that patients are not constrained by biological electrodes attachments. Nevertheless, the […]

    10/06/2020: TS. Đinh Thi Thái Mai (AVITECH), Smartphone-Based Indoor Positioning Using BLE iBeacon and Reliable Lightweight Fingerprint Map

    The introduction of Bluetooth Low Energy (BLE) technology provides new opportunities that the Global Positioning System (GPS) could not provide for indoor localization. In this paper, we introduce a real-time indoor tracking and positioning system using BLE beacon and smartphone sensors. Up to now, most of the system is using Pedestrian Dead Reckoning (PDR). The […]

    05/06/2020: ThS. Vũ Thị Hạnh (Bệnh viện Bạch Mai), Application of biomedical image analysis in cytogenetic tests of hematology malignant diseases

    Hematology malignant diseases such as Leukemia, Lymphoma, and Multiple Myeloma are serious illnesses. The estimated number of new cases of Chronic Myeloid Leukemia (CML), according to the report by WHO in 2014, is 1-2/100k people annually. Without diagnostics and treatment with targeted drugs, most CML patients with acute Leukemia would only live a few months. […]

    02/06/2020: ThS. Nguyễn Văn Lý (San Diego State Univ., US), SVM-based Channel Estimation and Data Detection for Massive MIMO Systems with One-Bit ADCs

    The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for reducing cost and power consumption for massive Multiple-Input Multiple-Output (MIMO) systems. However, the severe nonlinearity of low-resolution ADCs causes significant distortions in the received signals and makes the channel estimation and data detection tasks much more challenging. In this talk, we show how […]

    18/05/2020: ThS. Nguyễn Thúy Nga (Univ. Toulouse, France), Automatic detection and classification of a skin cancer lesion by machine learning: From research result to a startup company

    Skin cancer is the most common cancer with two to three millions new cases per year worldwide, according to WHO. Skin Cancer Foundation Statistics stated that one in every five persons will get skin cancer in their lifetime in the US. More than 2 people die of skin cancer in the U.S every hour (see […]

    05/05/2020: TS. Lâm Sinh Công (AVITECH), Stochastic Geometry Model for Cellular Networks

    Stochastic Geometry Models has been utilized widely to replace Regular Hexagonal Models in terms of cellular network modelling and performance analysis. In this model, the Base Stations (BS) are assumed to be randomly distributed according to a 2D Poisson Point Process while the users follow a specific distribution and have connections to the nearest or […]

    28/04/2020: TS. Phạm Thị Việt Hương (AVITECH), Multimodal learning: A review

    Our experience of the world is multimodal – we see objects, hear sounds, sense texture, smell odors and taste flavors. Modality refers to the way in which something happens or is experienced. A research problem is identified as multimodal when it deals with multiple modalities. In order for Artificial Intelligent to understand things around us […]

    21/04/2020: GS. K.V.S. Hari (Indian Inst. Science, Indian), Wireless Channel Modelling of Drone-Ground links using RF measurements

    He will briefly introduce the motivation to study channel modeling followed by a brief overview of the experiments in channel measurements leading to the IEEE 802.16 standard. He will present the challenges in developing a communication system for drone communication links using current systems like LTE and the motivation to study the wireless channel models […]

    24/04/2020: TS. Tống Văn Luyên (AVITECH), Smart Antennas for Interference Suppression in Wireless

    Smart antennas have been widely employed in radar and wireless communication systems since they help to improve the signal spectrum utilization efficiency, interference suppression and energy saving by array pattern synthesis. In this pattern synthesis, the desired pattern can be obtained by controlling the excitation weights of antenna arrays. To enhance the interference suppression ability […]

    10/12/2019: ThS. Trần Việt Khoa (AVITECH), Collaborative Learning Model for Cyberattack Detection Systems in IoT Industry 4.0

    Industry 4.0, known as the fourth industrial revolution, is a vision of smart factories developed based on intelligent cyber-physical systems. It greatly boosts the development of automation and data exchange in manufacturing technologies, which includes cyber-physical systems, the Internet-of-things (IoT) and cloud computing. These technologies immediately impact various sectors, such as manufacturing, healthcare, agriculture, transportation, […]

    09/12/2019: Prof. Hady Lauw, Preference Learning from Multimodal Data

    With pervasive digitization, two trends are emerging. One is the proliferation of choices in our consumption of both physical and digital goods and services. The other is the “datafication” of our behaviors, whereby users’ preferences increasingly manifest through multiple modalities of preference signals, e.g., consumptions, ratings, reviews, networks, images. The first points to the challenge […]

    03/12/2019: TS. Lê Đình Anh (ĐH Công nghệ), A Simplified Thermodynamic Model for Numerical Simulation of Cavitating Flow with Thermodynamic Effect

    Cavitation is a phenomenon in that liquid evaporates and vapor bubbles appear in the region of liquid pressure roughly below the saturated vapor pressure due to the flow acceleration. In the region of the pressure recoveries to freestream pressure, the cavitation bubbles collapse that generates the strong pressure wave in flow field that raises the […]

    26/11/2019: CN. Vũ Duy Thanh (AVITECH), Deep Learning for Autonomous Car

    Autonomous vehicle is a promising technology which involved a large investment in the industry. Besides the conventional technologies in autonomous vehicle driving such as Fuzzy logic and Computer vision, Deep learning has become the most important frontier in machine learning which has acted as a main factor in autonomous vehicle development recently. In this presentation, […]

    19/11/2019: TS. Nguyễn Hồng Thịnh (AVITECH), A video-based tracking system for football players analysis using Efficient Convolution Operators

    Multiple Objects Tracking (MOT) is a challenging problem of computer vision that has a wide range of practical applications in CCTV, security, video compression, and sports analysis. Generally, MOT tracking contains multiple single tracking operating at the same time. It becomes very difficult in cases demanding realtime processing with high accuracy. In such a context, […]

    12/11/2019: CN. Trần Xuân Tuyến (ĐH Công nghệ), Brain network analysis and its applications to brain disorders assessment

    Most of the previous neurotech researches solely concentrate on single neurons within small brain areas rather than analyzing the communication between different regions. The actual brain operation, however, is a high interconnection, so more useful and informative features are acquired only if we take into account the relationships among various sources of brain signals. The […]

    05/11/2019: TS. Dương Việt Dũng (ĐH Công nghệ), Lagrangian Vortex Method for Complex Flow Simulation Applied in Aerospace, Wind, and Biology Engineering

    To solve complicated simulation problems for complex deforming objects under complicated motions found in aerospace, aerodynamics, meteorology, biology engineering, this seminar presents Lagrangian vortex method based on Brinkman penalization. The Brinkman penalization acts as an external force, which directly replaced in the Navier-Stokes equation, is described by velocity and vorticity. The advantage of the method […]

    29/10/2019: ThS. Nguyễn Thị Anh Đào (AVITECH), EEG signal processing systems for automatic detection of epileptic spikes

    The thesis aims to build EEG signal processing systems that automatically detect epileptic spikes by exploiting the relationship between adjacent spikes in time (single-channel EEG data analysis) and space (simultaneous multi-channel EEG data analysis). Speaker: ThS. Nguyễn Thị Anh Đào, AVITECH Time: 15:30, Tuesday, October 29, 2019 Venue: E3-212, 144 Xuan Thuy, Cau Giay, Hanoi […]

    22/10/2019: GS. Hideya Ochiai (Tokyo Univ., Japan), LAN-Security Monitoring

    This talk presents a cloud-based intrusion detection system (IDS), provided by the LAN-security monitoring project of the University of Tokyo. In recent years, malware can easily intrude into local-area networks (LANs) by phishing e-mails or infected smartphones over Wi-Fi. This talk presents the state-of-the-art architecture including honeypot, detected examples, and the application of machine learning […]

    08/10/2019: ThS. Bùi Minh Tuấn (AVITECH), Auto-encoder based Friendly Jamming for guaranteeing secrecy in wireless communications

    Information-theoretic security or Physical layer security (PLS) has emerged as a new concept that can complement encryption-based approaches. The basic idea of PLS is to exploit the characteristics of the wireless channel to ensure the ability of the intended users to successfully perform data decoding while preventing eavesdroppers from doing so. Among of state-of-the-art proposed […]

    23/09/2019: GS. Karim Abed-Meraim (Univ. Orleans, France), Blind and Semi-Blind System Identification

    Blind System Identification (BSI) is a fundamental problem which is signal processing sometimes known by different names: blind deconvolution, blind equalization, blind deconvolution or blind separation of convolutive mixtures. In all these instances, the objective is an inverse problem where an observed (multi-channel) system output one seeks to identify the unknown channels and/or retrieve at […]

    17/09/2019: CN. Yuki Iwata (Univ. Electro-Communications, Japan), Vital Sign Acquisition using CW Doppler Radar under Random Body Movement rejected by PCA Algorithm

    Vital sign measurement using a continuous wave (CW) – Doppler radar technique is widely applied where non-contact detection and privacy protection is required, such as infection screening in quarantine stations and sleep monitoring systems in home healthcare. However, CW-Doppler radar measures the velocity of chest surface movement consisting of cardiac and breathing signals with random […]

    10/09/2019: CN. Cindy Châu (Harvard Univ., US), A Brief Overview of the Neuroscience of Mental Illness

    In this talk, we focus on a brief introduction of neuroscience on several mental disorders, including depression, anxiety, schizophrenia, and Alzheimer’s Disease. We will first review common brain regions and neurotransmitters implicated in these disorders. We will then characterize each disorder and provide leading hypotheses on the pathogenesis of each disorder, including dysfunctions in the […]

    03/09/2019: ThS. Lê Trung Thành (AVITECH), EEG Source Localization in the Context of Epilepsy: A New Multiway Temporal-Spatial-Spectral Analysis

    Epilepsy is one of the most common neurological disease, approximately 65 million people diagnosed with epilepsy in the world. For the removal of epileptogenic region in particular and epilepsy diagnosis in general, accurate localization of the epileptic focus is highly meaningful. In this talk, we would like to introduce a robust method for EEG source […]

    27/08/2019: ThS. Ngô Khắc Hoàng (Univ. Paris-Saclay, France), Constellation Design for Non-coherent Communications in SIMO Block-Fading Channel

    The communication without a priori channel state information is called non-coherent communication. For the non-coherent Rayleigh block-fading channel, it was shown that the optimal signaling is to encode information in the subspace of the signal matrix in the space-time domain. Therefore, a constellation for this channel can be designed as a collection of subspaces. Such […]

    09/08/2019: TS. Hoàng Hồng Sơn (Toulouse), Adaptive filtering and its application to high-dimensional systems

    The inverse engineering problems approach is a discipline that is growing very rapidly. The inverse problems we talk about in this lecture concern the way to determine the state and/or parameters of the physical system of interest using observed measurements. In this context the filtering algorithms like the famous Kalman filter (KF) constitute a key […]

    21/05/2019: GS. Paul B. Jantz (Texas State University, US), Magnetic Resonance Imaging (MRI) Techniques Used in Brain Injury Research

    This seminar will present basic information about how a magnetic resonance imaging (MRI) scanning machine works and how T1-weighted, T2-weighted, FLAIR (fluid attenuated inversion recovery), GRE (gradient recalled echo), and DTI (diffusion tensor imaging) MRI scans are used in brain research. It will also discuss how CT (computed tomography) x-ray scans are combined with MRI […]

    07/05/2019: GS. Mouloud Adel (Aix-Marseille Univ., France), Some Aspects of Computer-aided Diagnosis Applied on Medical Images

    Medical diagnosis is a very important medical daily task. Doctors need computer-aided tools to help them in analyzing a huge amount of data. Image processing and machine learning can take into account the variability of these data ad provide doctors with efficient and automatic tools. This talk will focus on different approaches that have been […]

    16/04/2019: TS. Đậu Sơn Hoàng (RMIT Australia), Applications of coding theory in distributed storage systems and distributed computing

    In this talk, we discuss recently emerging problems in distributed storage systems and distributed computing where redundant data and redundant computation help to improve the performance of the systems. In the first part of the talk, I will overview different kinds of erasure codes (each code specifies a different method to create data redundancy) proposed […]

    09/04/2019: ThS. Nguyễn Văn Thẩm (VNU Univ. Eng. Tech.), Some inconsistency measures and method for restoring consistency in probabilistic knowledge bases

    … Speaker: ThS. Nguyễn Văn Thẩm, ĐH Công nghệ Time: 15:30, Tuesday, April 09, 2019 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi …

    02/04/2019: TS. Hà Minh Hoàng (ĐH Công nghệ), On several problems of operations research: from theory to practice

    … Speaker: TS. Hà Minh Hoàng, ĐH Công nghệ Time: 15:30, Tuesday, April 02, 2019 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi …

    12/03/2019: TS. Trần Mai Vũ (ĐH Công nghệ), Data mining in telecommunication

    … Speaker: TS. Trần Mai Vũ, ĐH Công nghệ Time: 15:30, Tuesday, March 12, 2019 Venue: E3, 144 Xuan Thuy, Cau Giay, Hanoi …

    05/03/2019: ThS. Bùi Minh Tuấn (AVITECH), Lightweight security communication solutions for IoT networks

    … Speaker: ThS. Bùi Minh Tuấn, AVITECH Time: 15:30, Tuesday, March 05, 2019 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi Bui Minh Tuan was born in 1985. He received B.Sc. and M.Sc. at The Le Quy Don Technical University, Hanoi, Vietnam in 2008 and 2013 respectively. He then was posed to The Military Institute […]

    26/02/2019: ThS. Nguyễn Thành Trung (AVITECH), CT Image Denoising Using Sparse Representation

    X-ray computed tomography (CT) is now a widely used imaging modality for numerous medical purposes. Due to the biological risk of x-ray radiation, developing CT methodologies minimizing x-ray exposure to patients while achieving the clinical tasks has been a major concern. However, reducing the radiation dose as in low-dose CT techniques results in images that […]

    19/02/2019: TS. Hoàng Văn Xiêm (ĐH Công nghệ), Joint Layer Prediction for Improving SHVC Compression Performance and Error Concealment

    Scalable High Efficiency Video Coding (SHVC) standard is expected to play a more important role in the heterogeneous landscape of broadcasting, multimedia, networks, and various services applications as it is specified as a layered coding technique in the ATSC (Advanced Television Systems Committee) 3.0. However, its block-based structure of temporal and spatial prediction makes it […]

    14/01/2019: GS. Quang Hà (Univ. Technology Sydney, Australia), Smart Systems for Infrastructure Control & Monitoring

    … Speaker: GS. Quang Hà, Univ. Technology Sydney Time: 15:30, Monday, January 14, 2019 Venue: E3,144 Xuan Thuy, Cau Giay, Hanoi Quang Phuc Ha received the B.E. degree in electrical engineering from the Ho Chi Minh City University of Technology, Vietnam, in 1983, the Ph.D. degree in complex systems and control from Moscow Power Engineering […]

    09/01/2019: GS. Huỳnh Hữu Tuệ (AVITECH, Canada), What is exactly Industrial Internet of Things (IIoT)? How does it affect Vietnam?

    Based on the robust and rapid development of data transmission networks and high performance information processing algorithms for large data sets, the modern production industry has made great progresses over the last few decades. These developments are driven by modern industrial backgrounds into a condition known as the 4.0 industrial revolution, or for a shorter […]

    08/01/2019: TS. Lê Vũ Hà (AVITECH), EEG-based Brain-computer interface for prevention and rehabilitation of Alzheimer and other dementia

    … Speaker: TS. Lê Vũ Hà, AVITECH Time: 15:30, Tuesday, January 08, 2019 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi Le Vu Ha is currently Head of the Signals andSystems Laboratory at Faculty of Electronicsand Telecommunications, VNU University ofEngineering and Technology (VNU UET). Heis also leader of the Neurotech research groupof the Advanced Institute […]

    25/12/2018: TS. Phạm Tiến Đạt (National Inst. Info. Commun. Tech., Japan), Fiber and Wireless Convergence for Future Mobile Networks and Sensing

    High-speed metro and access networks are indispensable to provide broadband services, especially bandwidth-hungry services and future 5G mobile networks to end users. Advanced wireline and wireless network solutions with ultra-high capacity, low transmission delay, high energy efficiency, and low cost should be developed to support a wide range of applications and requirements in future mobile […]

    14/12/2018: GS. Dusit Niyato (Nanyang Tech. Univ., Singapore), Introduction to Blockchain and Mining/Consensus Management

    Public blockchain networks using proof of work-based consensus protocols are considered to be a promising platform for decentralized database management. In order to maintain a secured, universal state of the blockchain, proof of work-based consensus protocols financially incentivize the nodes in the network to compete for the privilege of block generation through cryptographic puzzle solving. […]

    04/12/2018: TS. Trần Trọng Hiếu (AVITECH), Belief Revision and Belief Merging: An Overview

    … Speaker: TS. Trần Trọng Hiếu, AVITECH Time: 15:30, Tuesday, December 04, 2018 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi Trong Hieu Tran is currently a senior lecturer of Computer Science at Faculty of Information Technology at VNU – University of Engineering and Technology, Vietnam National University. He received his B.Sc. and M.Sc. from […]

    27/11/2018: TS. Đỗ Đức Đông (AVITECH), Dynamic interval valued neutrosophic set: Modeling decision making

    … Speaker: TS. Đỗ Đức Đông, AVITECH Time: 15:30, Tuesday, November 27, 2018 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi …

    13/11/2018: ThS. Nguyễn Thị Anh Đào (AVITECH), Một số phương pháp xử lý tín hiệu EEG hỗ trợ chẩn đoán bệnh động kinh

    … Speaker: ThS. Nguyễn Thị Anh Đào, AVITECH Time: 15:30, Tuesday, November 13, 2018 Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi Nguyen Thi Anh-Dao was born in Thai Binh, Vietnam, in 1981. She got her Bachelor degree in Electronics – Telecommunications Technology in 2003, Master degree in Electronics -Telecommunications Technology in 2013 and since […]

    30/10/2018: TS. Lưu Mạnh Hà (AVITECH), Quantification of nonrigid liver deformation in radiofrequency

    Multimodal image fusion for image guidance in minimally invasive liver interventions generally requires the registration of pre-operatively acquired images with interventional images of the patient. Whereas rigid registration approaches are fast and can be used in an interventional setting, the actual liver deformation may be nonrigid. The purpose of this paper is to assess the […]

    23/10/2018: ThS. Lê Trung Thành (AVITECH), Robust Subspace Tracking (Robust PCA) for missing data with outliers

    Tensor decomposition has recently become a popular method of multi-dimensional data analysis in various applications. The main interest in tensor decomposition is for dimensionality reduction, approximation or subspace purposes. However, the emergence of “big data” now gives rise to increased computational complexity for performing tensor decomposition. In this paper, motivated by the advantages of the […]

    16/10/2018: ThS. Lê Hoàng Quỳnh (ĐH Công nghệ), Large-scale Exploration of Neural Relation Classification Architectures

    Experimental performance on the task of relation classification has generally improved using deep neural network architectures. One major drawback of reported studies is that individual models have been evaluated on a very narrow range of datasets, raising questions about the adaptability of the architectures, while making comparisons between approaches difficult. In this work, we present […]

    10/10/2018: TS. Tôn Hoàng Bảo (Univ. Toulouse III, France), Genome dynamics and cell cycle: Integrative approaches

    … Speaker: TS. Tôn Hoàng Bảo, Univ. Toulouse III Time: 15:30, Wednesday, October 10, 2018 Venue: E3-408,144 Xuan Thuy, Cau Giay, Hanoi …

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