6th International Conference
on Networking and Advanced Systems

21-22-23 October 2023 | Hybrid: In-Person and Virtual Conference | Centre de Développement des Technologies Avancées
Algiers, Algeria

Badji Mokhtar University, Annaba.

Call for Papers

About The Event

The Sixth conference ICNAS 2023 is a scientific event that brings together scientific expertise on several areas of scientific research. This biennial conference is the successor of the conference ICNAS 2013, ICNAS 2015, ICNAS 2017, ICNAS 2019 and ICNAS 2021. In fact, the areas of interest ICNAS 2023 are valid with a cross between different research themes.
The conference will be conducted in hybrid mode (in-person and virtual) and will deals with topics relating to networking, management, and systems that revolve around this technology. The systems are advanced systems by their design, implementation, and applications.


Centre de Développement des Technologies Avancées
Algiers, Algeria


21-22-23 October 2023


The ICNAS'23 proceeding is now available at: https://ieeexplore.ieee.org/xpl/conhome/10330163/proceeding

Event Video

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6th International Conference on Networking and Advanced Systems ICNAS'23


6th ICNAS'2023 solicits papers dealing with networking and advanced systems in (not limited to):

    • 6G/ 5G networks
    • IoT and Tactile Internet
    • Connected car, automotive, intelligent transportation
    • Network protocols and architectures
    • Quality of service and traffic engineering
    • Aerial IoT networks
    • Underwater and underground sensor and actuator networks
    • IoT networks for smart cities, smart grids, smart living spaces
    • Software-defined networking (SDN)
    • SCADA and Smart grid applications
    • Network function virtualization (NFV) and Service function chaining (SFC)
    • Mobile edge and fog computing
    • Green computing and networking
    • Content distribution networks
    • Information-centric networking (ICN)
    • Network intelligence
    • Cognitive management
    • Autonomous and self-organized networks
    • Wireless and mobile networks
    • User-centric networking
    • Machine-to-machine networking
    • Social networking, crowdsourcing
    • Mobile Internet applications
    • Optical networks
    • Cloud Computing
    • Virtual Reality (VR), Augmented Reality (VR) and Mixed Reality (MR) technology and devices
    • Virtual reality applications
    • Augmented reality applications
    • Simulation Design and Engineering
    • 3D interaction for VR/AR/MR
    • Health and virtual reality (VR/AR in medical treatment)
    • Interactive Technologies
    • Computer vision and computer graphics for VR/AR/MR
    • Motion capture and Tracking
    • Human-computer Interaction (haptics, audio, and other visual and non-visual interfaces)
    • User interaction and collaborative interaction techniques for VR
    • User studies and evaluation
    • Multi-user and distributed VR/AR/MR
    • Computer Graphics Techniques for VR
    • Brain-computer interfaces for VR/AR/MR
    • modeling and simulation techniques
    • Avatars and virtual humans
    • Tele-operation and telepresence
    • 3D Interaction for VR
    • Control Systems and Optimization
    • Activity/behaviour recognition
    • Control applications
    • Vehicle Control Applications
    • Mobile Robots and Intelligent Autonomous Systems
    • Factory modeling and simulation
    • Home, laboratory and service automation
    • Human-robots interfaces
    • Telerobotics and Teleoperation
    • Industrial networks and automation
    • Intelligent automation
    • Localization, navigation and mapping
    • Mobile robots and autonomous systems
    • Robot design, development and control
    • Sensor network systems
    • Robust control
    • Image processing & Surveillance
    • Access control and authorization
    • Accountability
    • Anonymity
    • Application security
    • Attacks and defenses
    • Authentication
    • Steganography
    • Blockchain technologies
    • Censorship resistance
    • Cloud security
    • Distributed systems security
    • Economics of security and privacy
    • Embedded systems security
    • Forensics
    • Hardware security
    • Intrusion detection and prevention
    • Malware and unwanted software
    • Mobile and Web security and privacy
    • Language-based security
    • Network and systems security
    • Privacy technologies and mechanisms
    • Protocol security
    • Secure information flow
    • Security and privacy for the Internet of Things
    • Security and privacy metrics
    • Security and privacy policies
    • Security architectures
    • Usable security and privacy
    • Big data technologies
    • Data visualization
    • Big data curation and management
    • Big data infrastructure
    • Architectures for massively parallel processing
    • Data mining tools and techniques
    • Machine/ Deep learning
    • Reinforcement learning
    • Federated learning
    • Cloud computing platforms
    • Distributed file systems and databases
    • Scalable storage systems
    • Biometrics
    • Algorithmic Game Theory
    • Neuromorphic Computing
    • Natural Language Processing
    • Large scale Machine Learning
    • AI-optimized Hardware
    • Decision Management
    • Virtual Agents


Registration guide for participating in remote plenaries: Click Here

Invited Speakers


Prof. Sadok BEN YAHIA

Position: Full Professor at the Technology University of Tallinn (TalTech)

Short Bio: Prof. Sadok BEN YAHIA obtained his HDR in Computer Sciences from the University of Montpellier (France) in April 2009 and since January 2019. He is the head of the Data Science Group in the IT School, and his research interests mainly focus on data-driven approaches for near-real-time Big Data analytics, e.g., urban mobility in smart cities (e.g., information aggregation and dissemination, traffic congestion prediction), Recommendation System, and fake content fighting.

Title: Data-Driven Approaches for Resilient and Sustainable Urban Mobility

Abstract: The transportation sector is responsible for 23% of energy-related CO2 emissions. Decarbonizing transportation is challenging, as it is still 92% dependent on non-renewable resources. However, current transport decarbonization-related policies are insufficient to decrease CO2 emissions to the expected level. Therefore, strategic approaches to reducing emissions from urban transport are critical to addressing the challenges of climate change. In this talk, we present our recent research activities on a framework to build the next level of innovative data-driven traffic light strategies as the most impactful action to reduce CO2 emissions within the context of urban mobility for Connected and Autonomous Cars. This Framework is committed to embracing the next generation of Edge-AI, benefiting from the ease of implementation and increased computation power toward more composable, distributed, and federated intelligence, as well as security by design frameworks. Powerful eye-bird-view multimodal data fusion approaches feed AI models for accurate CO2 and urban noise level predictions, that feed to dashboards for awareness purposes. Advanced reinforcement learning techniques make use of urban noise predictions to implement the best traffic light strategy in real time. We will also discuss the challenges to achieve resilience by proactively detecting misbehaving entities within Vehicle-to-Everything settings



Position: Emeritus Professor IRISA, University of Rennes 1 PERCEPT group

Short Bio: Prof. Kadi BOUATOUCH is an electronics and automatic systems engineer (ENSEM 1974, France). He was awarded a PhD in 1977 (University of Nancy 1, France) and a higher doctorate in computer science in the field of computer graphics in 1989 (University of Rennes 1, France). He is working on global illumination, lighting simulation for complex environments, GPU based rendering and computer vision. He is currently Emeritus Professor at the university of Rennes 1 (France) and researcher at IRISA Rennes (Institut de Recherche en Informatique et Systèmes Aléatoires). He was the head of the FRVSense team within IRISA until September 2017. He is member of Eurographics and was member of ACM and IEEE. He was/is member of the program committee of several conferences and workshops and referee for several Computer Graphics journals such as: The Visual Computer, ACM Trans. On Graphics, IEEE Computer Graphics and Applications, IEEE Trans. On Visualization and Computer Graphics, IEEE Trans. On image processing, etc. He acted as a referee for many conferences and workshops. He served as a chair/committee member/reporter for several PhD theses or higher doctorates in France and abroad (USA, UK, Belgium, Cyprus, The Netherlands, Spain, etc.). He was associate editor for the Visual Computer Journal. He is now General Chair of the VISIGRAPP Conference

Title: Stochastic Approach to realistic rendering in computer graphics for Virtual Reality (VR)

Abstract: In Virtual Reality, it is important to make the rendering of images displayed on an HMD headset as realistic as possible. In this case, it is a question of taking into account the multiple reflections, refractions and diffusions using stochastic methods (Monte Carlo, Gaussian processes, etc.) or AI (CNN neural networks). These methods can be used in other fields such as vision, crowd simulation, etc. This Keynote Lecture begins by introducing the different processing necessary for obtaining a computer-generated image such as: geometric modeling, camera parameters, color, photometric quantities, etc. Then it presents in detail the various stochastic rendering methods allowing the generation of synthetic images with a high level of realism. Among these methods we can cite: the Monte Carlo method, Bayesian Monte Carlo, Metropolis, spectral Analysis of Quadrature Rules and Fourier Truncation-based Methods Applied to the Shading Integral, etc. This lecture will be illustrated with realistic images generated with different rendering methods.


Prof. Samir OTMANE

Position: Full professor in computer science at the University of Evry, Paris-Saclay

Short Bio: Prof. Samir OTMANE is a full professor in computer science at the University of Evry, Paris- Saclay since 2011. He heads the IRA2 team (Interaction, Virtual & Augmented Reality, Ambient Robotics) of IBISC laboratory. He graduated in computer engineering from the University of Titzi-Ouzou (UMMTO) in 1992. Fascinated by research in virtual reality and robotics, he completed a M.S. degree in Robotics at the Université Pierre et Marie Curie (Paris VI) in 1996 and the Ph.D. degree in robotics from the University of Evry Val d'Essonne in 2000. This Ph.D. research gave rise to the first French system for augmented reality teleoperation via the Internet (ARITI project in 1999, referenced by the NASA Space Telerobotics Program until 2010). He was Vice-President of the Evry University in charge of enterprise relations from 2014 to 2023. He was a director of AFRV (Association Française de Réalité Virtuelle, augmentée et de l'interaction 3D) until 2016 and co-chair of Laval Virtual between 2010 and 2016. He is author/co-author of over 100 scientific publications (including conferences and journals) and has participated in several research projects (regional, national, and European) on virtual/augmented reality (VR/AR) and robotics. His current research focuses on how VR and AR can provide new solutions for healthcare area such as functional rehabilitation, medical and paramedical training, etc.

Title: Virtual & augmented reality for medical training and rehabilitation (VR)

Abstract: Virtual and augmented reality technologies offer opportunities to create training and rehabilitation tools in virtual or augmented environments, giving users a first-person experience. Designing such systems requires defining the most critical components to be simulated, and to what degree they can be successfully simulated, considering the context of their use and the effectiveness of interactions. There are several research questions to which we have provided answers, including: How can the user be represented in the virtual environment, and what is the added value of this representation for medical training purposes? How can interaction fidelity impact user performance in surgical simulation-based training? What is the impact of augmented reality feedback on the performance of a patient's gait rehabilitation process?.

In addition, I will present two rehabilitation assistance systems for improving patient usability and motivation: 1) for upper limb motor rehabilitation after stroke in virtual reality; 2) gait rehabilitation in augmented reality.


6th International Conference on Networking and Advanced Systems ICNAS'23

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Poster’s Program:

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Event Venue

Event venue location info and gallery

Centre de Développement des Technologies Avancées

Research, Technology and Society

Baba Hassen, Algiers, Algeria


International Conference on Networking and Advanced Systems ICNAS'23

Paper Submission

EasyChair for 6th ICNAS'23

Contact Us

International Conference on Networking and Advanced Systems ICNAS'23

Pr. Nacira Ghoualmi-Zine (Annaba University)

Mlle Meriem Mouzai (CDTA)

Phone Number

(+213) 776 92 05 20