Teaching is one of my favourite parts of the job. Most of my courses fall under the broad umbrella of networked systems, but in reality they mix a bit of everything I care about: protocols, distributed systems, dependable software, and how all of these pieces behave once deployed in the wild. I try to keep classes practical, system-oriented, and grounded in real-world deployments. Below is an overview of the courses I currently teach. You can read more about my teaching philosophy here (link coming soon!).
PROTIoT explores connectivity for the IoT world: LoRa, SigFox, LTE-M, NB-IoT, ZigBee, 6LoWPAN, Thread & more. Students learn how to design energy-efficient, long-range, scalable networks for massive IoT systems. Read more about this course here.
APPIoT dives into application-layer protocols for the Internet of Things: HTTP & CoAP, MQTT & XMPP, oneM2M, 3GPP IoT, and LwM2M. A hands-on journey into building efficient, interoperable IoT services for real deployments. Read more about this course here.
Introduction to the design and implementation of large-scale networked systems, covering cloud services, edge computing, and Internet protocols. Read more about this course here.
Networked AI Systems covers distributed, edge, federated, and multi-agent AI: how they coordinate, communicate, and operate in real systems. With real-world case studies and ethics in focus, students learn to design AI that works across the network. Read more about this course here.