Call For Papers
Topics
The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to the following.
Algorithms and Computational Intelligence
▸ Neural Computing and Deep Learning
▸ Optimization and Metaheuristic Search
▸ Reinforcement Learning and Fuzzy Decision Systems
▸ Big Data Analytics and the IoT
▸ Robotics, Cybernetics, and Pattern Recognition
▸ Theoretical Foundations of Computational Intelligence
Artificial Intelligence and Machine Learning
▸ Machine Learning Foundations and Deep Learning
▸ Computer Vision and Image Processing
▸ Natural Language Processing and Generative Models
▸ Pattern Recognition and Knowledge Discovery
▸ Decision Support Systems and Intelligent Control
▸ Reinforcement Learning and Robotics
▸ Distributed AI and Algorithms
Human-Computer Interaction and User Experience
▸ Multi‑modal interaction (speech, gesture, gaze, haptics, BCI)
▸ Voice user interfaces and conversational AI
▸ Virtual, augmented, and mixed reality interfaces
▸ User experience design, usability engineering, and UX metrics
▸ Human–AI collaboration and decision support
▸ Human–robot interaction and collaborative robotics
▸ Trust, transparency, and ethics in human‑machine systems
▸ Cognitive modeling and human factors in interactive systems
▸ Accessible, assistive, and inclusive interaction technologies
▸ Affective computing and human‑centered AI
▸ Pervasive/ubiquitous computing and wearable interaction
▸ Interaction data analytics, privacy, and ethics
Information Systems and Data Processing
▸ TData Management and Data Engineering
▸ TData Analytics and Mining
▸ TDistributed and Parallel Data Processing
▸ TInformation Systems Applications and Integration
▸ TAI and Machine Learning for Data Processing
▸ TData Security, Privacy, and Trust
▸ TData Visualization and Human-Computer Interaction
▸ TInformation Retrieval and Knowledge Discovery
▸ TData Acquisition and Integration
▸ TBenchmarking, Performance, and System Evaluation
▸ TEthics and Social Impact of Data Processing
Systems and Hardware Design
▸ Computer Architecture and High-Performance Computing
▸ VLSI Systems and Circuit Design
▸ Embedded and Real-Time Systems
▸ Reconfigurable Computing and FPGA
▸ High-Performance Interconnects
▸ Hardware Security and Trust
▸ Emerging Computing Paradigms
▸ Design Automation and Verification
▸ Performance Evaluation and Benchmarking
▸ Reliability and Testability
▸ Power and Energy Efficiency