01
Track 1: Designing and modeling Smart Applications and Cyber-Physical Systems
Development lifecycle managementEcosystemsCyber-Physical SystemsSimulation of Applications and Cyber-Physical SystemsRequirement Engineering for applications and cyber-physical systemsMulti-paradigm modeling and methodologies in cyber physical systemsSoftware Engineering for cyber-physical systemsStakeholders, barriers and requirements for cyber-physical systemsHuman in the loop in cyber-physical systemsControl and Optimization for cyber-physical systemsDependability in cyber-physical systems (real-time, reliability, availability, safety, security)
02
Track 2: Network technologies & IOT
New platforms and hardware designs for networked sensor systemsSystems software, including operating systems and network stacksLow power operation, energy harvesting, and energy managementNew communication paradigms for ubiquitous connectivityMobile and pervasive systems, including personal wearable devices, drones and robotsSensing, actuation, and controlHeterogeneous collaborative sensingFault-tolerance, reliability, and verification5G wirelessRouting, scheduling, resource allocation, spectrum sharingNetwork optimization and learningSensor-oriented data modelingNetwork protocols, coverage, connectivity, and longevitySimulation tools and environmentsIn-network processing and aggregationFoundations of sensor networksVehicular CommunicationDesign
03
Track 3: Data management
Data acquisition, storage and infrastructuresData conversion and data supervisionHeterogeneity of Devices for Data CollectionBig DataParallel Databases/NoSQL solutions/in-memory databases and graphs databasesData Integration, cleaning, transforming and fusingData compression and summarizationData quality, veracity and uncertaintyData Lakes and data warehousesData Heterogeneity ManagementOntologiesData Collection WorkflowsMeta-dataValue CapturingNorms and StandardsCloud/Cluster/Distributed computing for data managementMain Memory DatabasesIndexingData partitioning/Allocation/Load BalancingCo-processing of data (CPU, GPU, FPGA, etc.)Polystore DeploymentData algorithms and data structures on modern hardwareHardware systems for query processingBenchmarks
04
Track 4: Exploitation and Exploration
Programming Models/Environments for Cluster/Cloud ComputingParallel Databases/NoSQL solutions/in-memory databasesOpen Sources for data managementData Analysis/VisualizationNon-functional Requirement Satisfaction (ethics, pricing, legal, cultural, and economic principles and regulations)Green ComputingRecommendation SystemsSecurity, privacy and trustBlockchainsPrediction ModelingMachine Learning/Deep LearningExploratory Data AnalysisEconomical Models for Smart applications/systems
05
Track 5: Green Communications, Computing and Technologies
Green and sustainable computingEnergy-efficient computing and supercomputingIntelligent signal processing for green communicationsGreen cloud computing and IoTEnergy harvesting and energy efficiency in communicationsGreen vehicles, homes, buildings and industriesGreen data storagePrivacy, safety, and security in green-aware systems
06
Track 6: Modeling & Control of Intelligent Systems
Modeling and simulation for industry 4.0Machine learning and advanced modelingStochastic modeling and uncertainty managementDecentralized and collaborative control of multi-agent and IoT systemsPredictive and optimal control in uncertain environmentsAdvanced control based on AI and nonlinear methods
07
Track 7: Case studies
Predictive maintenanceIndustry 4.0 (system interconnection, information transparency, technical assistance)Cognitive computing in real-applications: education, healthcare, etc.Smart farmingAgricultural intelligenceMarket intelligence
08
Track 8: Energy Efficiency and Environmental Security: Innovative Technologies for Resilient and Sustainable Networks
Hydrogen Energy: Production, Storage, and Utilization for Decarbonizing Energy Systems and Sector IntegrationSmart Grid Technologies for Sustainable Energy ProductionElectric Vehicles (EVs): Advancements in EV Charging Infrastructure, Vehicle-to-Grid (V2G) Technologies, and Their Role as Mobile Energy Assets in Modern Power SystemsEnergy Storage Systems: Advancements in battery technologies, thermal storage, and innovative energy storage solutions for balancing power supply and demandArtificial Intelligence applications in water resources and environmental engineeringAdvances in Water Desalination Technologies for Effective Water Stress Management
09
Track 9: Artificial General Intelligence and Agentic AI
Large Language Models (LLMs)Agentic AI applicationsMulti Agent SystemsAI powered XAR ApplicationsBlockchain and AIRisks and Ethical challenges of AIGovernance challenges of AI
10
Track 10: Physics of Materials
Materials engineering for energyBulk and Nanomaterials processingArtificial Intelligence for Materials, Power systems and thermal engineeringPhotonics and LasersLinear and Nonlinear Optical Materials propertiesEnergy Efficiency, Storage, Conversion and HarvestingMaterials CharacterizationOther areas of interest associated with engineering and materials science where a multidisciplinary approach is required