International Conference on Advanced Signal Processing and Machine Learning

Important dates

1. 30 Oct

   Abstract / full paper deadline

   Passed

2. 26 Nov

   Conference

   Bukit Batok, Singapore

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

International Conference on Advanced Signal Processing and Machine Learning ICASPML is a leading international academic conference dedicated to advancing research, innovation, and global collaboration across science, engineering, technology, and interdisciplinary studies. Organized by Global Association for Scientific Research and Innovation, this prestigious event brings together researchers, scientists, academicians, industry professionals, and students from around the world to share groundbreaking ideas and explore the latest research trends. The conference provides a dynamic platform for presenting original research papers, participating in insightful keynote sessions, and engaging in technical discussions that address real-world challenges. Through its diverse program, International Conference On Advanced Signal Processing And Machine Learning promotes innovation, knowledge exchange, and academic excellence across multiple disciplines. With a strong focus on global networking and research collaboration, International Conference on Advanced Signal Processing and Machine Learning ICASPML helps participants connect with international experts, build partnerships, and gain exposure to emerging technologies and scientific advancements. The event is designed to inspire impactful research contributions that shape the future of science, engineering, and innovation worldwide.

Topics and scope

• Digital Signal Processing
• Adaptive Signal Processing
• Statistical Signal Processing
• Multidimensional Signal Processing
• Time-Frequency Analysis
• Wavelet Transform
• Compressive Sensing
• Sparse Signal Processing
• Signal Detection and Estimation
• Feature Extraction
• Signal Reconstruction
• Real-Time Signal Processing
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Supervised Learning
• Unsupervised Learning
• Self-Supervised Learning
• Transfer Learning
• Federated Learning
• Explainable Artificial Intelligence (XAI)
• Generative Artificial Intelligence
• Large Language Models (LLMs)
• Intelligent Decision Support Systems
• Image Processing
• Computer Vision
• Video Analytics
• Medical Image Analysis
• Remote Sensing Image Processing
• Speech Signal Processing
• Audio Signal Processing
• Natural Language Processing
• Pattern Recognition
• Biometrics
• Optical Character Recognition (OCR)
• Multimedia Information Retrieval
• Biomedical Signal Processing
• EEG and ECG Signal Analysis
• Wearable Sensor Data Analytics
• Medical Diagnostics
• Healthcare Monitoring Systems
• Brain-Computer Interfaces
• Internet of Medical Things (IoMT)
• Biosignal Processing
• Physiological Signal Analysis
• Sensor Fusion
• Smart Healthcare Systems
• Biomedical Data Analytics
• Wireless Communication Systems
• Internet of Things (IoT)
• Wireless Sensor Networks
• Edge Artificial Intelligence
• Embedded Signal Processing
• FPGA and ASIC Design
• System-on-Chip (SoC)
• Real-Time Embedded Systems
• Intelligent Communication Networks
• Software-Defined Radio
• Cognitive Radio Networks
• Smart Electronic Systems
• Big Data Analytics
• Predictive Analytics
• Data Mining
• Computational Intelligence
• Evolutionary Computing
• Swarm Intelligence
• Graph Neural Networks
• High-Performance Computing
• Cloud Computing
• Edge Computing
• Intelligent Data Processing
• Scientific Computing
• Smart Manufacturing
• Intelligent Transportation Systems
• Autonomous Vehicles
• Robotics and Automation
• Precision Agriculture
• Smart Cities
• Industrial Internet of Things (IIoT)
• Cybersecurity Analytics
• Financial Signal Analysis
• Environmental Monitoring
• Energy System Analytics
• Decision Intelligence
• AI-Native Signal Processing
• Multimodal Artificial Intelligence
• Semantic Signal Processing
• Quantum Machine Learning
• TinyML
• Digital Twin Technologies
• Future Trends in Signal Processing
• Intelligent Edge Computing
• Sustainable Artificial Intelligence
• Next-Generation Intelligent Systems
• Human-Centered AI
• Interdisciplinary Signal Processing and Machine Learning Research

Call for papers

The call for papers closed on 30 October 2026. For other conferences, see open calls for papers in this field.