Dr. Dhillon co-wrote a tutorial on Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications as a part of the JSAC special issue that he co-edited. This tutorial presents a rigorous introduction to Semantic Communications and its connections to related topics, such as AoI.
Dr. Saad participated in the Student Transition Engineering Program (STEP) at VT in 2022, which provides incoming engineering students with an opportunity to become familiar with the Virginia Tech community prior to the start of their academic careers. STEP also provides the students with an opportunity to interact informally with faculty. PI Saad integrated some of the ideas of this research in a seminar within STEP.
Dr. Dhillon again offered a week-long course on the Applications of Machine Learning to Wireless Communications at IIT Bhubaneswar in Jan 2022. This was an updated version of the course delivered by him at IIT Kanpur in 2021.
Dr. Dhillon delivered a week-long course on Machine Learning for Communications at the JTG/IEEE Information Theory Society Summer School at IIT Kanpur in June-July 2021. All lecture videos are available on YouTube. Lecture 8 on Gradient Compression for Federated Learning is based on this project.
Dr. Saad discussed the challenges of learning in large-scale systems within his Game Theory for Communication Networks course in Spring 2020.
The results from this research (particularly on reinforcement learning) were included in a new graduate course on Machine Learning for Communication Systems taught by Dr. Dhillon in Fall 2019.
Dr. Ha integrated results from this research (from the RF energy harvesting protyping effort) in his graduate course on Power Management Circuits for Energy Harvesting in Fall 2019.
Dr. Saad taught game theory and learning ideas in his undergraduate Network Science course in Fall 2019.