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 integration with optics, photonics, and imaging. The following topics are of particular interest, but not limited to:
Topic 1: Advanced Sensing Technologies for Healthcare
• 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
• 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 in Optical and Photonic Sensor Networks
• Computational Intelligence for Sensor Data Fusion in Imaging Systems
• Deep Learning for Multi-Sensor and Imaging Data Processing
• Collaborative Sensor Data Management with Optical Sensors
• Aggregation, Classification, and Tracking in Sensor Networks with Optical Sensing Components
• Big Data Analysis in Sensor Networks with Optical Imaging and Photonic Sensors
• Reasoning on Sensor Data: Integrating Optical and Photonic Inputs for Real-Time Decision Making
• 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
• Computational Intelligence for Sensor Data Fusion in Imaging Systems
• Deep Learning for Multi-Sensor and Imaging Data Processing
• Collaborative Sensor Data Management with Optical Sensors
• Aggregation, Classification, and Tracking in Sensor Networks with Optical Sensing Components
• Big Data Analysis in Sensor Networks with Optical Imaging and Photonic Sensors
• Reasoning on Sensor Data: Integrating Optical and Photonic Inputs for Real-Time Decision Making
• 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
Topic 4: IoT, Big Data Analytics, and AI
• 5G Networks and Optical Technologies for Big Data in IoT Applications
• Big Data Analytics for Smart Systems with Optical Sensing Integration
• Bioinformatics and Big Data Applications Using Optical Sensing Devices
• Big Data Infrastructure and Platforms for Photonic Sensor Networks
• Cloud and Grid Computing for Big Data in Optical Sensor Systems
• Deep Learning and AI for Data Analysis in Optical and Photonic Sensors
• IoT Applications Using Optical Sensors and Imaging Technologies
• Security, Privacy, and Trust in IoT Networks Integrating Optical Sensing Systems
• Big Data Analytics for Smart Systems with Optical Sensing Integration
• Bioinformatics and Big Data Applications Using Optical Sensing Devices
• Big Data Infrastructure and Platforms for Photonic Sensor Networks
• Cloud and Grid Computing for Big Data in Optical Sensor Systems
• Deep Learning and AI for Data Analysis in Optical and Photonic Sensors
• IoT Applications Using Optical Sensors and Imaging Technologies
• Security, Privacy, and Trust in IoT Networks Integrating Optical Sensing Systems
Topic 5: Other Related Topics
• Aerospace Sensors and Sensor Systems, Including Optical Sensing and Imaging Technologies
• Transducers and Actuators with Optical Sensing Capabilities
• Machine Learning for Data Processing in Optical Sensor Networks
• Algorithms, Data, and Theory for Photonic Sensor Systems
• Systems, Architectures, and Tools for Optical Sensor Integration
• Novel Embedded Machine Learning Algorithms for Optical and Imaging Sensors
• Network and System Architectures for Photonic Sensor Communication
• Fairness, Equity, and Transparency in IoT and CPS with Optical Sensing Integration
• Transducers and Actuators with Optical Sensing Capabilities
• Machine Learning for Data Processing in Optical Sensor Networks
• Algorithms, Data, and Theory for Photonic Sensor Systems
• Systems, Architectures, and Tools for Optical Sensor Integration
• Novel Embedded Machine Learning Algorithms for Optical and Imaging Sensors
• Network and System Architectures for Photonic Sensor Communication
• Fairness, Equity, and Transparency in IoT and CPS with Optical Sensing Integration