A plethora of intertwined technologies and applications raised during the last years because of maturity of core approaches related to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Cognitive Computing (CC) domains. In parallel, new technologies like 5G, tactile Internet, spatial and terrestrial communications augmented the speed and computing possibilities of networking systems.

Citizen-centric services as well as innovations in transportation, healthcare, industry, and economy, in general become provocative challenges due to complexity, diversity and the increasing needs of our society. In the virtual eco-systems, where robots are part of society as well, robots-driven industry, robots-citizen care, behavior analytics, affective computing, and empathy set the search for practical applications of deep-learning and knowledge discovery.

While progress is visible, sensitive aspects related to privacy, digital forgery, assisted-living, and semantic processing of the enormous information collected for IoT and wearable devices are still partially solved. Apart intrinsic citizen-focused issues, new self-driven systems and parts (drones, vehicular systems), sustainable and green energy, protection of critical systems, and smart cities challenges ask for innovative correlation and real-time solutions based on core-technologies and applications mentioned above.

CORETA 2021 initiates a series of international events covering challenges to make use and correlate results in different scientific and technological achievements. Potential solutions for reliability, resilience, prediction, sustainability, etc. are still fledgling hopes.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.

CORETA 2021 conference tracks:

Fundamental concepts and methodologies
Cognition (CC, AI, ML, DL) - general concepts and approaches
AI concepts, methodology and algorithms (agents, environments, expert systems, neural networks, deep thinking, trusted, responsible and interpretable AI
Big Data (data mining, knowledge representation, pattern recognition, searching algorithms, fuzzy logic, natural language processing
ML concepts, methodologies, models, and algorithms (learning, estimation, decisions, methods, perceptrons, models)
DL approaches (supervised and unsupervised, reinforcement, multi-learners)
Access control, security, and privacy in (CC, AI, ML)-based systems
Management, scalability, flexibility, and sustainability aspects of (CC, AI, ML)-based systems
Integration and interoperability of multi-paradigm systems
Impact of AI on society and humans: services, advantages, and risks

Core-support technologies
IoT (macro and nano sensors, web of objects, energy harvesting, IoT real-time control, mobile-IoT)
5G (6G, 5G, 4G, LTE, LTE-Advanced, mmWave, QoS, security, deployment)
Mobility (vehicular, drones, robots, wearable devices/appliances, mobile-cloud, wearable computing, mobile distributed reasoning)
Networking (Future Internet, WLAN, WPAN, WBAN, Wi-MAX, CN, CDN, ICN, Delay-tolerant networks, SDN, NFV, Slicing, Cognitive networks, Cognitive Radio)
Monitoring and control (adaptive monitoring, cognitive management, self-control, incident-handling)
Cloud networks (Cloud-computing, edge-computing, fog-computing)
VR (Virtual), AR (Augmented), XR (Extended), MR (Mixed) and IVR (Immersive) Reality

Cognition-based technologies
Industrial IoT and cognitive robots
Drones monitoring and controlling
Deep-learning, biomimicry, and organ-on-chip
Driverless vehicles with route discovery and path recognition
Mobility and IoT for Smart Cities services
Smart energy management using big environmental data and IoT
IoT-based agricultural and autonomous systems for field and livestock operations

Hybrid-technologies for advanced services and applications
Convergence of satellite-aerial-terrestrial networks by extending 5G
Ultra-low latency in Tactile Internet and 5G Technologies services
Blockchain-based applications in Cloud environments
Machine Learning (ML)-centric Big Data processing in Cloud-based systems
Web, Mobility, and Internet of Things (IoT) apps
Smart mobile Web in 5G systems
Behavior analytics and social data transmission at 5G-speed communities
ML for real-time security profiling (against smishing, phishing, etc.)

AI-based systems
AI-driven transportation systems
AI-predicting emergency events in 5G and 6G systems
AI-based neuroimaging for immersive virtual environments
AI cognitive engines for self-driving networks
AI cognitive management in systems with slicing, virtualization, SDN/NFV, virtual RAN, and Cloud-RAN
AI-based cyber-systems resiliency
AI-human-centered cybersecurity
AI-based policies for designing, deploying, and maintaining complex systems

Advanced healthcare services
Personalized health devices and mobile services
Assisted-living applications using affective computing
Predictive alarms in healthcare systems using IoT and cognitive computing
Smart wearable devices for mobile healthcare
Personalized cognitive surgeon-robots
Empathy and trust on robot companions
Patient profiling using ML and records (Big data)
Discovery of drugs and healing procedures based on Big Data and ML

Virtual Worlds
Real and virtual environments, augmented reality usability, mobile virtual reality
Trends in AR, Spatial AR cues
IVR environments, Collaborative IVR analytics
Active and Passive Haptics, Haptic Feedback, Visual Feedback, Tangible Interaction; Haptic Human-Machine Teaming. Robot Teammate, Human Trust in a Virtual Assistant
AR teaching materials, Mobile AR Tutorial Systems
Remote collaboration in VR, Collaborative MR
Groupware and MR, MR remote collaboration, Eye Gaze and hand gesture sharing
360 Panoramas, 3D Reconstructed Scenes, Omnidirectional cinemographs, Virtual theaters
Cognitively adaptive training in VR, Perception in MR, Shared social data in AR
Gaze modeling and interpretation,  Social network loneliness, Gesture interaction for AR applications
AR/MR-based co-design, Hybrid 2D/3D user Interface, AR with intelligent tutors
Emotion sharing and augmentation in cooperative VR, MR remote collaboration
Physiological sensing in VR, Individualized VR for mental health
Sharing gestures in remote collaboration, AV mirrors
Digital augmented physical games, AR entertainment
Multi-Layer perceptron, AR tracking, Authentication in VR