ICASIS 2025 invites researchers from around the globe to submit their papers and share valuable experiences with the international scientific community. This conference offers a platform for showcasing groundbreaking research in advanced sensing technologies, intelligent systems, and their applications in a wide range of fields, from healthcare, agriculture, aeronautics, manufacturing, to industrial automation. The following topics are of particular interest, but not limited to:
Topic 1: Advanced Sensing Technologies for Healthcare
• Wearable Biosensors for Continuous Health Monitoring
• Smart Textiles for Remote Patient Monitoring
• Non-Invasive Glucose Monitoring Using Optical Sensing
• Intelligent Sensing in Prosthetics for Enhanced Motor Control
• Wireless Implantable Sensors for Chronic Disease Management
• Augmented Reality (AR) for Surgical Navigation with Optical Sensing Feedback
• Environmental Monitoring in Healthcare Facilities Using IoT Sensors and Optical Technologies
• Voice and Speech Analysis for Early Detection of Neurological Disorders
• Robotic-Assisted Surgery with Optical Imaging and Haptic Feedback
• Smart Inhalers with Optical Sensing Capabilities for Respiratory Disease Management
• Smart Textiles for Remote Patient Monitoring
• Non-Invasive Glucose Monitoring Using Optical Sensing
• Intelligent Sensing in Prosthetics for Enhanced Motor Control
• Wireless Implantable Sensors for Chronic Disease Management
• Augmented Reality (AR) for Surgical Navigation with Optical Sensing Feedback
• Environmental Monitoring in Healthcare Facilities Using IoT Sensors and Optical Technologies
• Voice and Speech Analysis for Early Detection of Neurological Disorders
• Robotic-Assisted Surgery with Optical Imaging and Haptic Feedback
• Smart Inhalers with Optical Sensing Capabilities for Respiratory Disease Management
Topic 2: Intelligent Sensing for Environmental Monitoring
• Autonomous Drones for Air Quality Monitoring Using Optical Sensors in Urban Environments
• Smart Agriculture with Precision Sensing and Imaging Technologies for Crop Monitoring
• Underwater Sensor Networks with Optical Sensing for Oceanographic Research
• Remote Sensing for Early Detection of Natural Disasters with Imaging Technologies
• Intelligent Traffic Management with Vehicle-to-Everything (V2X) Sensing and Optical Imaging Systems
• Smart Waste Management Using IoT Sensors and Optical Technologies
• Wildlife Conservation Through Sensor Networks and Optical Monitoring Systems in Protected Areas
• Real-Time Monitoring of Water Quality in Rivers and Lakes Using Optical Sensors
• Smart Energy Grids with Integrated Optical Sensing for Efficiency
• Monitoring and Controlling Noise Pollution in Urban Environments with Optical Sensing Technologies
• Smart Agriculture with Precision Sensing and Imaging Technologies for Crop Monitoring
• Underwater Sensor Networks with Optical Sensing for Oceanographic Research
• Remote Sensing for Early Detection of Natural Disasters with Imaging Technologies
• Intelligent Traffic Management with Vehicle-to-Everything (V2X) Sensing and Optical Imaging Systems
• Smart Waste Management Using IoT Sensors and Optical Technologies
• Wildlife Conservation Through Sensor Networks and Optical Monitoring Systems in Protected Areas
• Real-Time Monitoring of Water Quality in Rivers and Lakes Using Optical Sensors
• Smart Energy Grids with Integrated Optical Sensing for Efficiency
• Monitoring and Controlling Noise Pollution in Urban Environments with Optical Sensing Technologies
Topic 3: Intelligent Data Analysis and Processing for Sensor Networks
• Artificial Intelligence and Machine Learning
• Computational Intelligence
• Sensor Data Fusion & Deep Learning
• Collaborative Sensor Data Management
• Aggregation, Classification and Tracking
• Big Data
• Reasoning on Sensor Data
• Multi-Sensor Data Processing Using Optical Sensors
• Data Collection and Transmission in Optical and Photonic Sensing Systems
• Machine Learning Algorithms for Data Analysis in Optical Sensing Networks
• Large Scale Systems
• Data Storage and Transmission
• Programming and Middleware
• Sensor Networks Operating Systems
• Machine Learning Algorithms and Tools
• Computational Intelligence
• Sensor Data Fusion & Deep Learning
• Collaborative Sensor Data Management
• Aggregation, Classification and Tracking
• Big Data
• Reasoning on Sensor Data
• Multi-Sensor Data Processing Using Optical Sensors
• Data Collection and Transmission in Optical and Photonic Sensing Systems
• Machine Learning Algorithms for Data Analysis in Optical Sensing Networks
• Large Scale Systems
• Data Storage and Transmission
• Programming and Middleware
• Sensor Networks Operating Systems
• Machine Learning Algorithms and Tools
Topic 4: IoT, Big Data Analytics, and AI
• 5G and Networks for Big Data
• Big Data Analytics and Social Media
• Big Data Applications, Bioinformatics, Multimedia etc
• Big Data Infrastructure and Platform
• Big Data Search and Mining
• Big Data Security, Privacy and Trust
• Big Data Techniques, Models and Algorithms
• Cloud and Grid Computing for Big Data in Optical Sensor Systems
• Deep Learning and AI for Data Analysis in Optical and Photonic Sensors
• Electronics and Signal Processing for IoT
• Experimental Results and Deployment Scenarios
• IoT Applications and Services
• IoT-Enabled Innovation and Entrepreneurship
• Learning in Knowledge-Intensive Systems
• Learning Methods and Analysis
• Machine Learning and AI for Big Data
• Machine Learning Applications
• Security and Privacy for IoT
• Big Data Analytics and Social Media
• Big Data Applications, Bioinformatics, Multimedia etc
• Big Data Infrastructure and Platform
• Big Data Search and Mining
• Big Data Security, Privacy and Trust
• Big Data Techniques, Models and Algorithms
• Cloud and Grid Computing for Big Data in Optical Sensor Systems
• Deep Learning and AI for Data Analysis in Optical and Photonic Sensors
• Electronics and Signal Processing for IoT
• Experimental Results and Deployment Scenarios
• IoT Applications and Services
• IoT-Enabled Innovation and Entrepreneurship
• Learning in Knowledge-Intensive Systems
• Learning Methods and Analysis
• Machine Learning and AI for Big Data
• Machine Learning Applications
• Security and Privacy for IoT
Topic 5: Other Related Topics
• Aerospace Sensors and Sensor Systems
• Transducers, Actuators
• Machine Learning
• Algorithms, Data, and Theory
• Systems, Architectures, and Tools
• Algorithms, Data, and Theory
• Novel Embedded Machine Learning Algorithms
• Operating Systems and Runtime Environments
• Network and System Architectures and Protocols
• Network and System Architectures for Photonic Sensor Communication
• Fairness, Equity, and Transparency in IoT and CPS with Optical Sensing Integration
• Transducers, Actuators
• Machine Learning
• Algorithms, Data, and Theory
• Systems, Architectures, and Tools
• Algorithms, Data, and Theory
• Novel Embedded Machine Learning Algorithms
• Operating Systems and Runtime Environments
• Network and System Architectures and Protocols
• Network and System Architectures for Photonic Sensor Communication
• Fairness, Equity, and Transparency in IoT and CPS with Optical Sensing Integration