Academic Seminar: Bridging AI Research & Engineering Education

The IEEE Student Branch at The University of Melbourne is organising an academic seminar titled “From Intelligent Systems to Intelligent Learning: Bridging AI Research & Engineering Education.”
This event will feature Dr. Lili Chen, Associate Lecturer (Education Specialist) at The University of Melbourne, who will present her research and teaching work at the intersection of artificial intelligence, wireless communication systems, and engineering education.
The seminar will cover two main themes. The first part will introduce AI-driven resource allocation in wireless communication networks, with a focus on graph neural network (GNN)-based approaches for modelling interference relationships and enabling efficient, scalable decision-making. The second part will explore the use of GenAI-assisted, criterion-referenced grading frameworks in engineering education to improve feedback quality, consistency, and efficiency in large-cohort teaching contexts.
This event is intended for students, researchers, and early career engineers who are interested in emerging AI applications in both technical research and engineering learning environments. The seminar aims to promote academic exchange, technical awareness, and interdisciplinary discussion within the IEEE student community.
Refreshments will be provided after the seminar.
Speaker(s): Dr. Lili Chen
Agenda:
2:00 PM – 2:05 PM: Welcome and introduction
2:05 PM – 2:45 PM: Seminar presentation by Dr. Lili Chen
2:45 PM – 2:55 PM: Q&A session
2:55 PM – 3:00 PM: Closing remarks
3:00 PM onwards: Refreshments and informal networking
Room: Newton Room, Level 2, Bldg: EEE Building, University of Melbourne, Parkville Campus, Melbourne, Victoria, Australia, 3010