Human-centered reasoning, decision-making and controlling; Intelligent control and decision in unmanned system; Interactive intelligent technologies; Manned-unmanned cooperation and coordination; Trusted Machine Learning and its application; Knowledge-based intelligent technologies; Multi-agent reinforcement learning and its applications; Intelligent Perception and Navigation for Unmanned Systems; UAV intelligent swarm and its applications; Data analysis in unmanned system’s application

Human-centered Design and Engineering of BCI systems to improve their usability and effectiveness in real-world scenarios; Real-time Signal Processing and Machine Learning Techniques for BCI to enhance performance and accuracy; Development of Neural Interfaces for bidirectional communication between the brain and machine; BCI-based Rehabilitation Robotics for people with physical disabilities; Integration of BCI with Augmented Reality and Virtual Reality to enhance immersive experience; BCI-based Affective Computing for better understanding of emotions and moods in humans; Cognitive Assistance and BCI-based Brain-Machine Collaboration for enhanced efficiency and productivity; BCI-based Smart Home and Building Automation Systems; Integration of BCI and CPSI in Automated Driving and Transportation Systems; Development of BCI-based Intelligent Personal Assistants and Social Robots for improving human-robot interaction

Data storage and management; Data searching and mining; Big data infrastructure and systems; Big data processing and analysis; Big data models, algorithms, and architectures; Deep learning; Artificial Intelligence; Computer vision; Image processing; Real-time video processing; Image classification; Object localization; Semantic segmentation; Instance segmentation

Single/Multiple Object Tracking; Object Detection and Its Applications; Person re-ID and Person Search; Self-supervised/ Unsupervised Learning; Image Fusion and Its Applications; Thermal Infrared Target Tracking and Detection; Tiny/Small Target Tracking and Detection

Network architectures and protocols for A2G communications; Access and backhaul management strategies; Channel measurement and modeling for A2G links; Position and trajectory optimization for aerial nodes; Energy-efficient wireless coverage for ABS-enabled B5G networks; Implementation/testbed/deployment of A2G communications; Aerial networks supported emergency communications; Machine learning for A2G communications; Integration of ABS-enabled B5G networks with state-of-the-art wireless technologies (e.g., NOMA, backscatter communication, reconfigurable intelligent surfaces, massive MIMO, physical layer security, millimeter-wave communication, cognitive radio, cooperative communication, energy harvesting)

Human-computer interaction in intelligent vehicle; Intelligent driving technology in vehicle system; Data-driven methods for signal analysis and processing; Multimodal signal and information processing technology; Audio and visual processing techniques for vehicle applications; User experience enhancement techniques for intelligent cockpit; Auxiliary techniques for safe driving; Data analysis in vehicle system’s application

Machine learning; Pattern recognition; Computer vision; Data mining; Deep learning; natural language processing; speech recognition; text analysis; Hidden writing analysis; Digital forensics; digital image processing; Medical image processing; Evolutionary computation; Big data analysis

Fuzzy set modeling in cyber-physical systems; Models for complex fuzzy scenarios; Fuzzy modeling and controlling; Fuzzy rule-based intelligent computing; Granular fuzzy modeling; Intelligent fuzzy decisions; Fuzzy models for image processing; Fuzzy rough sets in granular computing; Fuzzy logic with computational modeling; Fuzzy reasoning with data mining and intelligent control; Fuzzy methods-based genetic algorithms; Fuzzy applications in transfer learning; Emerging fuzzy tools in quantum computing; Human-centric computing in cyber-physical systems; Granular data description of physical environment

Uncertainty in multi-granularity computing and complex data processing; Fuzzy set and logic with multi-granularity cognitive applications; Data-driven multi-granularity information analysis in engineering; Theory and methods of multigranulation rough sets; Three-way decision models for multi-source information processing; Intelligent data analysis with formal concept analysis; Decision-making approaches using multi-granularity computing; Intelligent engineering applications using multi-granularity computing; Natural language processing methods using multi-granularity computing; Other emerging cognitive applications with multi-granularity data structures

Privacy computing and data security in Cyber-physical Social Intelligence; Lightweight authentication mechanisms for Cyber-physical Social Intelligence; Blockchain and trustworthy networking in Cyber-physical Social Intelligence; End-to-end communication security, privacy and trust in Cyber-physical Social Intelligence; Privacy-enhanced network data collection, classification, and analytics in Cyber-physical Social Intelligence; Incentive mechanisms of trust, secure and privacy management in Cyber-physical Social Intelligence; Domain specific security, privacy and trust in Cyber-physical Social Intelligence

Hand gesture-based HCI; Body action-based HCI; Gaze orientation-based HCI; Facial expression-based HCI; Multimodal perception-based HCI methods; Research dealing with visual HCI application researches

Intelligent perception and decision-making of unmanned system; Autonomous planning and intelligent control of unmanned systems; Cooperative control of heterogeneous unmanned systems; Interactive control of manned/unmanned system; Intelligent control of unmanned cluster system; Multi-agent reinforcement learning and its applications

Design, control and optimization of assembly systems; Design, control and optimization of disassembly systems; Digital twin techniques in manufacturing; Emission control and energy saving in manufacturing; End-of-life product recycling; Formal methods in the modeling, verification and analysis of manufacturing systems, such as Petri nets, UML, queuing theory, model checking techniques, etc.; Heuristic search algorithms; Intelligent factory; Real-time operation management; Real-time task allocation; Real-time task scheduling; Machine learning and reinforcement learning in manufacturing; Smart sensing and control; Smart logistics management; System simulation and performance evaluation; Sustainability manufacturing; Workstation load balancing in manufacturing, assembly and disassembly

This Special Issue focuses on the use of ML models across numerous domains and issues. Application papers should include conceptualization of a problem, data representation, feature engineering, ML models, critical comparisons with existing techniques, and result interpretation. They should also report substantial outcomes on a variety of learning methods. Recent ML innovations like deep learning and boosted tree models will receive particular focus. The research community will gain from this special topic by identifying problems and sharing the most recent approaches and solutions for reliable intelligent systems.

Malware analysis; Lightweight cryptography; Data analytics for security and privacy; Network traffic analysis; Intrusion Detection System (IDS); Information and communication security; Authentication and access control; Machine and deep learning applications

Data mining algorithm; Deep learning algorithm; Reinforcement learning algorithm; Autonomous control and estimation for unmanned System; Target autonomous detection, recognition and tracking

AI-based learning environments and intelligent tutoring systems; AI-enhanced curriculum design and content development; AI-supported assessment and feedback; AI-facilitated collaboration and communication; AI-enabled personalization and adaptation; AI-driven learning analytics and data mining; AI-empowered teacher professional development; Equity, diversity, inclusion, and accessibility issues of AI in education; Trustworthiness, explainability, transparency, and accountability of AI in education; Challenges and opportunities of AI in education for sustainable development

Architecture study and design of ISAC; Information theoretical analysis on ISAC; Physical layer technique for ISAC, including the waveform, coding, signal, etc.; Channel measurement and modeling for ISAC; Antenna and antenna array design for ISAC; Spectrum analysis and management for ISAC; Network protocols towards ISAC; Co-design of ISAC with existing standards, such as 5G, WLAN, etc.; Co-design of ISAC in sub-6G and mmWave communications; Resource allocation and management for ISAC; Security and privacy issues for ISAC; Physical layer security technique for ISAC; ISAC with reconfigurable intelligent surfaces; ISAC in space-air-ground integrated networks; ISAC in vehicular to everything (V2X) networks; ISAC with artificial intelligence-based approaches; Prototype or implementation of ISAC; Field test or simulation of ISAC; Hardware design and system of ISAC

Multi-modal data correlation analysis, classification, and clustering; Multi-modal machine learning and its application; Cross-modal representation learning and its application; Cross-modal hashing learning and retrieval; Cross-modal semantic embedding, alignment, and similarity learning; Multi-modal knowledge graph and its application; Cross-modal semantic reasoning and fusion; Knowledge-based visual-language understanding; Cross-modal semantic representation for social recommendation; Pre-trained Models for visual-language task; Cross-modal causal reasoning for visual-language task

Image understanding in medical computer vision(Medical image segmentation,Medical image classification,Medical image detection,Medical image localization,Medical image registration); Intelligent systems in medical image analysis(Deep learning models in medical imaging,Computer-assisted diagnosis in medical imaging); Multimodality medical imaging(Deep learning models in multimodality medical imaging,Optimization of deep learning models in multimodality medical imaging)

Computer vision; Object detection and face recognition; Human behavior analysis; Medical image analysis; Lesion detection and segmentation; Medical image registration; Graph learning in bioinformatics; Node classification, link prediction and graph representation learning

Social Media; Finance; Banking; Sports; Journalism; Gaming; Blockchain; Transportation; E-Commerce; Cybersecurity; Bioinformatics; Internet of Things

Design of cyber-physical systems; Modeling of cyber-physical systems; Analysis, verification and validation methods of cyber-physical systems

This special session aims at gathering a large community of researchers and practitioners interested in the application of modeling, simulation, optimization, analysis, innovative solutions also based on the Artificial Intelligence to Discrete Event Systems in different areas.