The 2nd International Conference on AI Sensors and Transducers

Key Topics

• Computer Vision;
• Sensing Systems Enhanced by AI;
• Data Fusion and Processing with Sensor Applications;
• AI Sensors Based on Vision and Voice Data;
• Data Mining for Sensor Applications;
• Sensor Modality/Sensing System Enhanced by Multi-Modality Deep Learning;
• Neuromorphic Computing;
• Edge Computing Technologies;
• In Sensor Computing;
• Computing in Memory;
• CMOS MEMS/NEMS and AI Sensors;
• MEMS Sensors Enhanced by Edge Computing;
• Heterogeneous Integration for AIoT Systems;
• Hardware for Enabling Artificial Intelligence of Things (AIoT) Systems;
• Autonomous AIoT Systems;
• Chiplet and System-in-Package (SiP) for AIoT-on-Chip;
• Generative AI Technologies;
• Cutting-Edge AI Sensor Technologies;
• Innovative AI Sensor Applications Across Industries;
• Photonics AI Accelerator;
• Chemical Sensors;
• Physical Sensors and MEMS;
• Gas Sensors;
• Medical Sensors;
• Optical Sensors, CMOS Image Sensors, and IR Focal Plane Array;
• Ultrasound Sensors;
• Biosensors and Bioelectronics;
• Magnetic Sensors and Spintronics;
• Implantable Sensors, Neural Interfaces and Electroceuticals;
• Wearable Sensors;
• Sensors for Drones;
• Sensors for Intelligent Robots;
• Zero-biased Sensors and Science;
• Self-powered Sensors;
• Si Photonics (SiPh) for Sensing;
• Nanomaterials, Nanosensors and NEMS;
• Metasurface and Mid-IR Sensing;
• Nanophotonics and metalenses for Sensing;
• Spectroscopy and Sensing Technology;
• Metamaterials and THz Sensing;
• Energy Harvesting for IoT Sensors;
• Internet of Things (IoT) and Sensor Networks;
• Integration of Actuators with Sensors for Smart Systems.
• Remote Sensors, Data Acquisition, and Processing;

Who should Attend

• Academic professors in all levels
• Researcher
• All post-doctoral
• All graduated students (M.S./Ph.D. students)
• Scientist workers with comparable levels of experience
• Non-academic in the scientific field