Energy-Aware Ambient IoT

Upon completion of the course, the student will be able to explain and understand:
• What is Ambient IoT (history and overview)?
• Energy harvesting, wireless power transfer, and power management
• Low-power wireless communications and networking technologies
• Intermittent and energy aware computing strategies
• Ambient IoT in the device-edge-cloud continuum
• Embedded AI and tinyML
• Distributed AI and offloading strategies for ambient IoT
• Over-the-air computing and advanced topics
• Real-world examples, applications, and proof of concepts

Background in computer science, information technology, or electrical engineering

Teacher Prof. Jeroen Famaey (Host: Assoc. Professor Onel López)

Power point slides and notes

After enrollment in the course and attending face-to-face lectures, students should solve homework assignments (20 hours) and prepare one project (50 hours).

All lectures will be face-to-face using power point presentations (12 hours). Along with face to face lectures, there will be homework assignments (20 hours) and 1 project (50 hours).