About the Event

Artificial intelligence (AI) and signal processing are rapidly transforming science, engineering, industry and digital services. Modern AI systems increasingly depend on signals, sensor data, images, video, speech, biomedical measurements, industrial streams, and multimodal information, while signal processing provides the essential foundations for reliable perception, interpretation, communication and control.

ASPAI’ 2027 will focus on the growing convergence of AI and signal processing. This convergence is especially important as AI moves from isolated software tools towards real-world systems that must operate with noisy data, changing environ-ments, constrained hardware resources, and high expectations for safety, transparency, and reliability.

Recent progress in generative AI, multimodal foundation models, agentic AI, edge intelligence, self-supervised learning, explainable AI, digital twins, autonomous systems, and advanced sensing is creating new opportunities for research and deployment. At the same time, these developments raise important challenges related to data quality, bias, robustness, cybersecurity, privacy, model validation, regulatory readiness, energy efficiency, and responsible human oversight.

Signal processing remains essential for extracting meaningful information from complex, high-dimensional, distributed and real-time data. Its role is critical in sensing, filtering, estimation, compression, pattern recognition, sensor fusion, communications, biomedical diagnostics, image and video processing, speech technologies, radar, sonar, industrial monitoring, and intelligent control.

The ASPAI conference series was established to provide an international forum for open discussion and development of emerging artificial intelligence and signal processing technologies, with a strong emphasis on practical implementation. ASPAI’ 2027 will bring together researchers, engineers, developers, manufacturers, industry representatives, practitioners, and end users to bridge the gap between theory, algorithms, system design, and deployable applications.

Particular attention will be given to AI-driven signal processing systems that can operate reliably in real environments, under uncertainty, and in cooperation with human experts. The conference will encourage contributions demonstrating not only improved performance, but also robustness, reproducibility, scalability, interpretability, sustainability, and readiness for practical use.

ASPAI’ 2027 will offer plenary and invited talks, contributed oral and poster presentations, special sessions, panel discussions, tutorials, demonstrations, and opportunities for professional networking. We trust that you will find ASPAI’ 2027 professionally rewarding, intellectually stimulating, and enjoyable.


Call for Papers

Authors are invited to submit original research papers, review papers, case studies, and application-oriented contributions related to recent advances in signal processing, artificial intelligence, intelligent systems, and their practical implementation. Topics of interest include, but are not limited to:


Artificial Intelligence and Intelligent Systems:

• Artificial Intelligence Algorithms and Architectures
• Machine Learning and Deep Learning
• Generative Artificial Intelligence
• Agentic AI and Autonomous AI Systems
• Multimodal Foundation Models
• Large Language Models and AI Assistants
• Explainable, Trustworthy and Responsible AI
• Robustness, Uncertainty and AI Model Validation
• Self-Supervised, Semi-Supervised and Few-Shot Learning
• Reinforcement Learning and Adaptive Decision-Making
• Hybrid Intelligent Systems
• Neuro-Symbolic AI
• Expert Systems and Decision Support Systems
• Fuzzy Logic, Fuzzy Systems and Soft Computing
• Bayesian Models and Probabilistic AI
• Artificial Neural Networks and Intelligent Networks
• Computational Intelligence and Learning Theory
• Computational Neuroscience and Brain-Inspired AI
• Neuromorphic and Energy-Efficient AI
• Edge AI, Embedded AI and TinyML
• Distributed and Federated Learning
• Privacy-Preserving AI
• Data-Centric AI and Synthetic Data
• AI for Sensor Fusion and Multisensor Systems
• AI for Pattern Recognition and Anomaly Detection
• Computer Vision and Image Understanding
• Speech Recognition and Natural Language Processing
• Emotion, Behaviour and Context Recognition
• Pervasive, Ambient and Ubiquitous Intelligence
• Human–AI Interaction and Human-in-the-Loop Systems
• AI for Digital Twins and Smart Simulation
• AI Tools, Platforms and Practical Applications
• AI Software, Hardware and System Architectures
• AI Safety, Ethics, Governance and Regulation


Signal Processing, Sensing and Data Analysis :

• Signal Processing Theory and Methods
• Digital Signal Processing
• Statistical and Adaptive Signal Processing
• Nonlinear Signal Processing
• Multidimensional Signal Processing
• Spectral Analysis and Time-Frequency Methods
• Wavelet, Sparse and Compressive Signal Processing
• Filtering, Estimation and Detection
• Sensor Array and Multichannel Signal Processing
• Multivariable and Distributed Sensor Systems
• Learning-Based Signal Processing
• Signal Processing for Sensor Fusion
• Signal Processing for Internet of Things and Industrial IoT Edge
• Real-Time Signal Processing
• Signal Processing for Communications and Networking
• Signal Processing for 5G, Beyond-5G and 6G Systems
• Information Theory, Coding and Data Compression
• Image and Video Processing
• Computer Vision and Pattern Recognition
• Speech, Audio and Acoustic Signal Processing
• Biomedical Signal Processing and Digital Health
• Biosignal Analysis and Biometrics
• Radar, Sonar and Navigation Signal Processing
• Remote Sensing and Satellite Signal Processing
• Environmental and Geospatial Signal Processing
• Signal Processing for Smart Sensors and Instrumentation
• Signal Processing for Industrial Monitoring and Predictive Maintenance
• Signal Processing for Cyber-Physical Systems
• Secure and Privacy-Aware Signal Processing
• Quantum Signal Processing and Quantum-Enabled Sensing
• Signal Processing for Augmented, Virtual and Extended Reality


Applications and Implementation:

• AI and Signal Processing for Smart Manufacturing
• AI-Enabled Automation and Control
• Intelligent Measurement and Instrumentation Systems
• Smart Sensors and Intelligent Sensor Networks
• Autonomous Systems, Robotics and Drones
• Intelligent Transport and Mobility Systems
• Smart Cities and Smart Infrastructure
• Digital Health, Medical Diagnosis and Healthcare Technologies
• Bioinformatics and Biomedical Data Analysis
• Environmental Monitoring and Climate-Aware Technologies
• Agriculture, Food Quality and Precision Farming
• Energy Systems, Smart Grids and Sustainability
• Security, Surveillance and Defence Applications
• Financial, Business and Industrial Analytics
• Education, Training and AI-Enhanced Learning
• Real-World AI Deployment and System Integration
• Cloud–Edge–Device AI Pipelines
• Benchmarking, Reproducibility and Performance Evaluation
• Standardisation, Certification and Regulatory Challenges
• Ethical, Legal and Societal Aspects of AI and Signal Processing


Special Sessions:

Authors are welcome to organise and manage special sessions during the conference. Special sessions should address focused, timely, and interdisciplinary topics related to artificial intelligence, signal processing, intelligent systems, sensing, data analysis, or practical applications. Each special session should normally include 4–6 papers in a related field. Session organisers will receive:

Session organizers will get: ​

* Certificate of appreciation
* Free registration for the event