Aris Lalos

Aris Lalos
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies · Industrial Systems Institute, Platani, Patra

PhD

About

161
Publications
16,067
Reads
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1,151
Citations
Introduction
Aris S. Lalos received the Diploma degree in Computer Engineering and Informatics, the M.A.Sc. degree in Signal Processing and Communications and the Ph.D. degree in Signal Processing for Wireless Communications from the Computer Engineering and Informatics Department, School of Engineering, University of Patras, Rio Patras, Greece in 2003, 2005 and 2010, respectively. His general research interest is on the application of signal processing and optimization for energy efficient communications and multimedia applications. In May 2018, Aris S. Lalos was elected Principal Researcher (Associate Research Professor Level with tenure) at Industrial Systems Institute / "ATHENA" Research Centre.
Additional affiliations
August 2018 - August 2019
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies
Position
  • Principal Investigator
June 2018 - present
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies
Position
  • Principal Investigator
January 2015 - present
University of Patras
Position
  • Senior Researcher

Publications

Publications (161)
Article
With the growing demand for easy and reliable generation of 3D models representing real-world or synthetic objects, new schemes for acquisition, storage and transmission of 3D meshes are required. In principle, 3D meshes consist of vertex positions and vertex connectivity. Vertex position encoders are much more resource demanding than connectivity...
Article
Wireless body area networks (WBANs) are composed of sensors that either monitor and transmit vital signals or act as relays that forward the received data to a body node coordinator (BNC). In this paper, we introduce an energy efficient vital signal telemonitoring scheme, which exploits compressed sensing (CS) for low-complexity signal compression/...
Article
Full-text available
New adaptive equalization algorithms for wireless systems operating over wideband multiple-input multiple-output (MIMO) channels are proposed. The problem of MIMO decision feedback equalizer (DFE) design is formulated as a set of linear equations with multiple right-hand sides (RHSs) evolving in time. By applying an adaptive modified conjugate grad...
Article
In this correspondence, we deal with the problem of channel estimation in amplify-and-forward (AF) wideband cooperative relay-based networks. Two types of frequency domain channel estimation techniques are proposed and analyzed. First, a training based technique is presented for which an optimal pilot placement and power allocation strategy is desc...
Article
In this paper, a new block adaptive filtering algorithm, based on the conjugate gradient (CG) method of optimization, is proposed. A Toeplitz approximation of the auto-correlation matrix is used for the estimation of the gradient vector and the involved quantities are updated on a block by block basis. Due to this formulation, the algorithm can be...
Article
Nowadays, 3D meshes are widely used in various applications in different areas (e.g., industry, education, entertainment and safety). 3D models are captured with multiple RGB-D sensors, and the sampled geometric manifolds are processed, compressed, simplified, stored, and transmitted to be reconstructed in a virtual space. These low-level processin...
Chapter
Deep learning and especially the use of Deep Neural Networks (DNNs) provide impressive results in various regression and classification tasks. However, to achieve these results, there is a high demand for computing and storing resources. This becomes problematic when, for instance, real-time mobile applications are considered, in which the involved...
Article
The evolution of automotive technology will eventually permit the automated driving system on the vehicle to handle all circumstances. Human occupants will be just passengers. This poses security issues that need to be addressed. This paper has two aims. The first one investigates strategies for robustifying scene analysis of adversarial road scene...
Preprint
Full-text available
Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering. Despite their evolving performance, 3D scanners, still introduce noise and artifacts in the acquired dense models. In this work, we propose a fast and robust denoising m...
Preprint
Full-text available
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of voluminous data sets, making the need for the design of a robust and reliable compression scheme a necessity. In t...
Conference Paper
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of voluminous data sets, making the need for the design of a robust and reliable compression scheme a necessity. In t...
Article
In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles, based on Adapt-then-Combine strategies coupled with the Least-Mean-Squares and the Conjugate Gradient algorithms. We treat the vehicular network as an undirected graph,...
Preprint
Full-text available
In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles, based on Adapt-then-Combine strategies combined with the Least-Mean-Squares and the Conjugate Gradient algorithms. We treat the vehicular network as an undirected graph,...
Preprint
Full-text available
Automotive Cyber-Physical Systems (ACPS) have attracted a significant amount of interest in the past few decades, while one of the most critical operations in these systems is the perception of the environment. Deep learning and, especially, the use of Deep Neural Networks (DNNs) provides impressive results in analyzing and understanding complex an...
Preprint
Full-text available
Deep learning and especially the use of Deep Neural Networks (DNNs) provides impressive results in various regression and classification tasks. However, to achieve these results, there is a high demand for computing and storing resources. This becomes problematic when, for instance, real-time, mobile applications are considered, in which the involv...
Preprint
Delineation approaches provide significant benefits to various domains, including agriculture, environmental and natural disasters monitoring. Most of the work in the literature utilize traditional segmentation methods that require a large amount of computational and storage resources. Deep learning has transformed computer vision and dramatically...
Preprint
Full-text available
Cooperative Localization is expected to play a crucial role in various applications in the field of Connected and Autonomous vehicles (CAVs). Future 5G wireless systems are expected to enable cost-effective Vehicle-to-Everything (V2X)systems, allowing CAVs to share with the other entities of the network the data they collect and measure. Typical me...
Book
Full-text available
Contents:::: Lech Jozwiak, Radovan Stojanovic, Introduction >>> Ioannis Pitas, Privacy Protection, Ethics, Robustness and Regulatory Issues in Autonomous Systems >>> Lech Jozwiak, Design of Green CPS and IoT>>> Mario Kovac, European Processor Initiative: Cornerstone of European HPC and eHPC strategy >>> Nicola Capodieci, Timing predictability in GP...
Preprint
Full-text available
Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, realizing a system of systems approach. The automotive domain has been making a transition to the system of system approach aiming to provide a series of emergent functional...
Article
Full-text available
The main goal of the H2020-CARAMEL project is to address the cybersecurity gaps introduced by the new technological domains adopted by modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a result, CARAMEL enhances the protection against threats related to automated driving, smart charging of...
Article
Simultaneous localization and mapping (SLAM) refers to the problem of mapping an environment using measurements from mobile sensors while simultaneously estimating the motion of those sensors relative to the map Modular architectures are required to enable the commoditization and fast penetration of SLAMs in the emerging mobile computing systems.
Article
Full-text available
The intensification and expansion in the cultivation of olives have contributed to the significant spread of Verticillium wilt, which is the most important fungal problem affecting olive trees. Recent studies confirm that practices such as the use of innovative natural minerals (Zeoshell ZF1) and the application of beneficial microorganisms (Micosa...
Article
Full-text available
Electric vehicles (EVs) gain great attention nowadays since the electrification of private and public transport has a great potential to reduce greenhouse gas emissions and mitigate oil dependency. However, the influx of a large number of electrical loads without any coordination could have adverse affects to the electrical grid. More importantly,...
Preprint
As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With gamification being an effective tool towards guiding targeted behavioural changes, the development of realistic framewo...
Chapter
Exploiting extended reality technologies in laboratory training enhances both teaching and learning experiences. It complements the existing traditional learning/teaching methods related to science, technology, engineering, arts and mathematics. In this work, we use extended reality technologies to create an interactive learning environment with dy...
Article
Full-text available
Nowadays, the preservation and maintenance of historical objects is the main priority in the area of the heritage culture. The new generation of 3D scanning devices and the new assets of technological improvements have created a fertile ground for developing tools that could facilitate challenging tasks which traditionally required a huge amount of...
Article
Full-text available
Recently, spectral methods have been extensively used in the processing of 3D meshes. They usually take advantage of some unique properties that the eigenvalues and the eigenvectors of the decomposed Laplacian matrix have. However, despite their superior behavior and performance, they suffer from computational complexity, especially while the numbe...
Article
Full-text available
New generation 3D scanning technologies are expected to create a revolution at the Industry 4.0, facilitating a large number of virtual manufacturing tools and systems. Such applications require the accurate representation of physical objects and/or systems achieved through saliency estimation mechanisms that identify certain areas of the 3D model,...
Conference Paper
Throughout the years, several works have been proposed for 3D mesh denoising. Nevertheless, despite their reconstruction quality, there are still challenges related to the preservation of the fine surface features. Motivated by the impressive results of image denoising by 3D transform-domain collabo-rative filtering (CF), we extend it to 3D mesh de...
Conference Paper
Mesh saliency has been widely considered as the measure of visual importance of certain parts of 3D geometries, distinguishable from their surroundings, with respect to human visual perception. This work is based on the use of convolutional neural networks to extract saliency maps for large and dense 3D scanned models. The network is trained with s...
Article
Full-text available
Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering. Despite their evolving performance, 3D scanners, still introduce noise and artifacts in the acquired dense models. In this work, we propose a fast and robust denoising m...
Article
Full-text available
Effective management of chronic constrictive pulmonary conditions lies in proper and timely administration of medication. As a series of studies indicates, medication adherence can effectively be monitored by successfully identifying actions performed by patients during inhaler usage. This study focuses on the recognition of inhaler audio events du...
Conference Paper
The latest advancements in 3D scanning technologies have facilitated the generation and adoption of 3D models in several industrial applications ranging from manufacturing inspection and repair to digital twins and medical industry. All these applications require an accurate representation of physical objects through saliency mechanisms identifying...
Conference Paper
Through the years, several works have demonstrated high-quality 3D mesh denoising. Despite the high reconstruction quality, there are still challenges that need to be addressed ranging from variations in configuration parameters to high computational complexity. These drawbacks are crucial especially if the reconstructed models have to be used for...
Conference Paper
One of the most challenging tasks in Extended Reality based environments is the creation of realistic, interactive and attractive simulation with personalised content, without overlooking the main purpose of the system, which, in our case, is education. This paper introduces the XRLabs platform, which is an Extended Reality platform to assist in th...
Article
The Industrial IoT (IIoT) is a key element of Industry 4.0, bringing together modern sensor technology, fog- cloud computing platforms, and artificial intelligence to create smart, self-optimizing industrial equipment and facilities. Though, the scale and sensitivity degree of information continuously increases, giving rise to serious privacy conce...
Poster
Full-text available
Soluble guanylate cyclase ( is a key heterodimeric enzyme in the NO sGC cGMP signaling pathway It catalyzes the conversion of GTP to cGMP upon binding of nitric oxide ( to a prosthetic heme moiety located into the β 1 H NOX regulatory domain Dysregulation of sGC activity, due to reduced NO bioavailability or/and heme oxidation, has been correlated...
Chapter
This chapter reviews security and engineering system safety challenges for Internet of Things (IoT) applications in industrial environments. On the one hand, security concerns arise from the expanding attack surface of long-running technical systems due to the increasing connectivity on all levels of the industrial automation pyramid. On the other...
Chapter
Cyber-Physical Systems (CPSs) combine computational and physical components enabling real-world interaction. Digitization, decentralization, and high connectivity, as well as incorporation of various enabling technologies, raise various security issues. These security concerns may affect safety, endangering assets and even human lives. This is espe...
Chapter
As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With gamification being an effective tool towards guiding targeted behavioural changes, the development of realistic framewo...
Article
Generative adversarial networks can be exploited to launch attacks against detection systems that rely on artificial intelligence (AI). To build effective cyberphysical systems that are operationally robust and socially accepted, we must expend significant effort to develop novel AI-based safety-critical systems.
Conference Paper
Throughout the years, several works have been proposed for performing feature-preserving mesh denoising. Despite their reconstruction benefits, there are still challenges that need to be addressed. Meanwhile, several researchers, system engineers, and software developers have shown increasing interest in the application of deep learning approaches...
Conference Paper
Many mixed reality applications are based on the real-time compression and streaming of three-dimensional (3D) models. Thus, they demand very high-bandwidth and ultra-low latency from network specifications. The next-generation wireless networks will employ promising technologies to significantly improve the communication data rates. However, due t...
Conference Paper
Full-text available
Recently, 3D visual representations of highly deformable 3D models, such as dynamic 3D meshes, are becoming popular due to their capability to represent realistically the motion of real-world objects/humans, paving the road for new and more advanced immersive virtual, augmented and mixed reality experiences. However, the real-time streaming of such...