# ICAS — International Conference on Autonomic and Autonomous Systems

- **Submission deadline**: 2022-02-20
- **Notification date**: 2022-03-20
- **Conference date**: 2022-05-22
- **Location**: Venice, Italy
- **Rankings**: QUALIS B2
- **Conference Partner Index**: 54.9/100 (ranked #823, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 1
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/1174

## Call for papers

The ICAS 2022 (International Conference on Autonomic and Autonomous Systems) is a multi-track event covering related topics on theory and practice on systems automation, autonomous systems and autonomic computing. The main tracks refer to the general concepts of systems automation, and methodologies and techniques for designing, implementing and deploying autonomous systems. Next tracks develop around design and deployment of context-aware networks, services and applications, and the design and management of self-behavioral networks and services. It is also considering monitoring, control, and management of autonomous self-aware and context-aware systems and topics dedicated to specific autonomous entities, namely, satellite systems, nomadic code systems, mobile networks, and robots. It has been recognized that modeling (in all forms this activity is known) is the fundamental for autonomous subsystems, as both managed and management entities must communicate and understand each other. Small-scale and large-scale virtualization and model-driven architecture, as well as management challenges in such architectures are considered. Autonomic features and autonomy requires a fundamental theory behind and solid control mechanisms. These topics give credit to specific advanced practical and theoretical aspects that allow subsystem to expose complex behavior. It is aimed to expose specific advancements on theory and tool in supporting advanced autonomous systems. Domain case studies (policy, mobility, survivability, privacy, etc.) and specific technology (wireless, wireline, optical, e-commerce, banking, etc.) case studies are targeted. A special track on mobile environments is indented to cover examples and aspects from mobile systems, networks, codes, and robotics. Pervasive services and mobile computing are emerging as the next computing paradigm in which infrastructure and services are seamlessly available anywhere, anytime, and in any format. This move to a mobile and pervasive environment raises new opportunities and demands on the underlying systems. In particular, they need to be adaptive, self-adaptive, and context-aware. Adaptive and self-management context-aware systems are difficult to create, they must be able to understand context information and dynamically change their behavior at runtime according to the context. Context information can include the user location, his preferences, his activities, the environmental conditions and the availability of computing and communication resources. Dynamic reconfiguration of the context-aware systems can generate inconsistencies as well as integrity problems, and combinatorial explosion of possible variants of these systems with a high degree of variability can introduce great complexity. Traditionally, user interface design is a knowledge-intensive task complying with specific domains, yet being user friendly. Besides operational requirements, design recommendations refer to standards of the application domain or corporate guidelines. Commonly there is a set of general user interface guidelines; the challenge is due to a need for cross-team expertise. Required knowledge differs from one application domain to another, and the core knowledge is subject to constant changes and to individual perception and skills. Passive approaches allow designers to initiate the search for information in a knowledge-database to make accessible the design information for designers during the design process. Active approaches, e.g., constraints and critics, have been also developed and tested. These mechanisms deliver information (critics) or restrict the design space (constraints) actively, according to the rules and guidelines. Active and passive approaches are usually combined to capture a useful user interface design. All these points pose considerable technical challenges and make self-adaptable context-aware systems costly to implement. These technical challenges lead the context-aware system developers to use improved and new concepts for specifying and modeling these systems to ensure quality and to reduce the development effort and costs. 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. ICAS 2022 conference tracks: SELFTRENDS: Toward brain-like autonomic and autonomous systems Adaptive robust resource allocation; Optimal self-organized collective actions; Collective adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain connectivity models; Using unbalanced Datasets; Quantum-inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self-organization in M2M infrastructures; Self-organizing socio-technical systems; Context-aware data self-adaptation; Multi-level loop encapsulation in smart systems; Uncertainty in self-adaptive systems; Adaptive Software defined systems (SDS) scalability; Adaptability in multi-tenant Clouds; Self-aware model-driven systems; Proactive self-adaptation; Self-adaptive urban traffic; Adaptive power profiling; Run-time for self-adaptive systems; Distributed adaptive systems; Self-improving system integration; Self-improving activity recognition systems; Feedback computing; Optimal feedback control; Dynamic adaptive applications; Self-managing Clouds; Decentralized autonomic behavior; Market-adaptive trust; Semantics of self-behavior; Self-organizing patterns; Stability propagation in self-organizing systems; Inconsistency in self-deciding systems; Reasoning problems tractability; Decidability in self-organizing systems ROBOTRENDS: Robot-related trends Autonomous aquatic agents; Aerial autonomous robots; Drones control and management; Knowledge-based robot motions; Autonomous mobile robot interaction; Humanoid robots; Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust optimizations; Moral autonomous agents and human evolution; Cognitive robotics; Robot partnership; Affective communication robots; Human-centric robotics; Visually-impaired and robots; Evolutionary swarm robotics; Robots and human advices; Universal robot hands SOCIAL ROBOTS: Social robots and cognition Human-robot interaction; Robot-robot interaction; Perception of a humanoid robots; Humanoid robots mediating social Interaction; Socially assistive robots; Conversational robots; Verbal Interaction; Human-robot touch interaction; Expressive interactions; Social emotions; Arts by humanoid robots; Collaborative social robots; Game approaches; Human-robot interactive games; Robots co-worker partners; Healthcare companion robots; Socially assistive robots; Robot-assisted rehabilitation therapy; Child-robot interaction; Mobile assistive robots; Robots in public spaces; Shopping mall robots; Home utility robots; Robot-assisted cognitive training; Robot-based multimodal emotion recognition; Advertizign robots; Telepresence robots; Robot teleoperation; Robots' social credibility MACHINE LEARNING: Advanced topics in Deep/Machine learning Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Autonomous and robotics systems; Machine learning for systems. SYSAT: Advances in system automation Methods, techniques ant tools for automation features; Methodologies for automating of design systems; Industrial automation for production chains; Nonlinear optimization and automation control; Nonlinearities and system stabilization; Automation in safety systems; Structured uncertainty; Open and closed automation loops; Test systems automation; Theory on systems robustness; Fault-tolerant systems UNMANNED: Driver-less cars and unmanned vehicles Self-driving cars; Drones; Terrestrial unmanned vehicles; Unmanned aerial vehicles; Underwater unmanned vehicles; Unmanned sea surface vehicles; Collision control; Traffic surveillance challenges; Path planning and estimation; Communication between unmanned vehicles; Integration of unmanned aerial vehicles in civil airspace; Unmanned vehicular clusters; Designing unmanned vehicular-based systems; Safety of unmanned vehicles; Commercial and surveillance applications; Emergency applications; Legal aspects of unmanned vehicular systems; Testbeds 

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