The College of Engineering and Computer Science
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Do Danh Cuong, PhD [3]
Assistant Professor, Electrical Engineering program, College of Engineering and Computer Science -
Do Tho Truong, PhD. [3]
Director, Mechanical Engineering program, College of Engineering and Computer Science -
Journal Article [2]
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Kok-Seng Wong, PhD [11]
Associate Professor, Computer Science program, College of Engineering and Computer Science -
Le Duy Dung, PhD [1]
Assistant Professor, Computer Science program, College of Engineering and Computer Science -
Le Van Quynh, Asst. Prof., PhD. [1]
Assistant Professor, Electrical Engineering program, College of Engineering and Computer Science -
Minh Do, PhD. [3]
Honorary Vice Provost -
Nguyen Do Trung Chanh, PhD [4]
Model Development Manager - College of Engineering and Computer Science -
Pham Huy Hieu, PhD. [7]
College of Engineering and Computer Science Associate Director, VinUni-Illinois Smart Health Center Assistant Professor, Computer Science program -
Pham Ngoc Nam, PhD [15]
Vice Dean, College of Engineering and Computer Science - Director, Electrical Engineering program, College of Engineering and Computer Science -
Tran Minh Quan [3]
Applied Scientist Engineering - College of Engineering and Computer Science -
Tran Thi Mai, PhD [3]
Assistant Professor - College of Engineering and Computer Science -
Wray Buntine, PhD. [3]
College of Engineering and Computer Science Director, Computer Science program
Recent Submissions
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Concurrent multiscale topology optimisation towards design and additive manufacturing of bio-mimicking porous structures
(2022-11-16)This paper presents a novel multiscale explicit topology optimisation approach for concurrently optimizing the structure at the macro level and the bio-mimicking porous infillings at the micro level. Solid bar components ... -
Point spread function of the polarized light field microscope
(2022-05-26)We examined the point spread function of the polarized light field microscope and established a computational framework to solve the forward problem in polarized light field imaging, for the purpose of furthering its use ... -
QoE-aware video streaming over HTTP and software-defined networking
(2019)The exponential growth in video streaming traffic over the Internet has created a demand for innovative methods to enhance both Quality of Experience (QoE) for users and Quality of Service (QoS) for providers. HTTP Adaptive ... -
Overall quality prediction for HTTP adaptive streaming using LSTM network
(2021-08)HTTP Adaptive Streaming (HAS) has become a widely adopted method for delivering multimedia content. However, the variability in network bandwidth often results in fluctuating video quality during streaming, posing a ... -
On the trade-off between privacy protection and data utility for chest X-ray images
(2022)Abstract The advancement of deep learning (DL) techniques has significantly enhanced the accuracy of machine learning (ML) models in medical tasks. However, this progress raises privacy concerns, particularly regarding ... -
Multimodal unrolled robust PCA for background-foreground separation
(2022)Background foreground separation (BFS) is a critical computer vision task aimed at distinguishing dynamic foreground objects from static backgrounds. While consumer cameras are widely used due to their affordability, high ... -
Multimodal fusion using sparse CCA for breast cancer survival prediction
(2021-04-13)Effective understanding of diseases like cancer necessitates integrating diverse information across various physical scales through multimodal data. In this study, we introduce a novel feature embedding module based on ... -
Mechanical Properties of PolyJet 3D-Printed Composites Inspired by Space-Filling Peano Curves
(2021-10-13)This paper presents a novel design for composite materials inspired by the Peano curve and manufactured using PolyJet 3D printing technology with Agilus30 (flexible phase) and VeroMagentaV (rigid phase). The mechanical ... -
AUC Maximization for Low-Resource Named Entity Recognition
(2023-04-13)Current work in named entity recognition (NER) uses either cross entropy (CE) or conditional random fields (CRF) as the objective/loss functions to optimize the underlying NER model. Both of these traditional objective ... -
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics
(2021-05-13)Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in ... -
FDM-Based 3D Printing of Polymer and Associated Composite: A Review on Mechanical Properties, Defects and Treatments
(2020-07-10)Fused deposition modelling (FDM) is one of the fastest-growing additive manufacturing methods used in printing fibre-reinforced composites (FRC). The performances of the resulting printed parts are limited compared to those ... -
Engineering a light–matter strong coupling regime in perovskite-based plasmonic metasurface: quasi-bound state in the continuum and exceptional points
(2020-11-12)We present theoretically the formation of exciton–photon polaritons and exciton-surface plasmon polaritons in a perovskite-based subwavelength lattice on the metallic plane. It is shown that the latter polaritons will be ... -
Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings
(2022-07-27)Background: The purpose of this paper is to demonstrate a mechanism for deploying and validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu Tho General Hospital, Vietnam. We aim to ... -
A Subjective Study on User Perception Aspects in Virtual Reality
(2019-08-16)Three hundred and sixty degree video is becoming more and more popular on the Internet. By using a Head-Mounted Display, 360-degree video can render a Virtual Reality (VR) environment. However, it is still a big challenge ... -
A Review of Forest Fire Combating Efforts, Challenges and Future Directions in Peninsular Malaysia, Sabah, and Sarawak
(2022-09-01)The land surface of Malaysia mostly constitutes forest cover. For decades, forest fires have been one of the nation’s most concerning environmental issues. With the advent of machine learning, many studies have been conducted ... -
The title of the paper is: **A Quantitative Analysis of the Effect of Human Detection and Segmentation Quality in Person Re-identification Performance**
(2019)Person re-identification, a problem of person identity association across camera views at different locations and times, is the second step in two-steps system for automatic video surveillance: person detection, tracking ... -
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms
(2022)Advanced deep learning (DL) algorithms may predict the patient’s risk of developing breast cancer based on the Breast Imaging Reporting and Data System (BI-RADS) and density standards. Recent studies have suggested that ... -
An Effective Foveated 360◦ Image Assessment Based on Graph Convolution Network
(2022-09-04)Virtual reality (VR) has been adopted in various fields such as entertainment, education, healthcare, and the military, due to its ability to provide an immersive experience to users. However, 360◦ images, one of the main ... -
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
(2022-08-06)Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical ... -
Absorbance biosensors‐based hybrid MoS2 nanosheets for Escherichia coli detection
(2023-06-23)Detecting Escherichia coli is essential in biomedical, environmental, and food safety applications. In this paper, we have developed a simple, rapid, sensitive, and selective E. coli DNA sensor based on the novel hybrid-type ...
