Scholar
Guanliang Chen
Google Scholar ID: NqOqvk0AAAAJ
Monash University
Citations & Impact
Citations
5,477
H-index
28
i10-index
58
Publications
20
Co-authors
108
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers have been accepted by top-tier journals and conferences such as Expert Systems with Applications, Computers and Education: Artificial Intelligence, ICALT 2023, AIED 2023, etc. The project 'Large-scale multimodal knowledge management' has been funded by the Defense Advanced Research Projects Agency (DARPA) in the US. One paper at COLING 2022 was recognized as one of the 11 outstanding papers out of 522 accepted long papers.
Research Experience
- Currently, he serves as a Senior Lecturer at the Faculty of Information Technology, Monash University. Before that, he completed his doctoral studies at Delft University of Technology in the Netherlands.
Education
- Prior to joining Monash University, he obtained his Ph.D. from the Faculty of Electrical Engineering, Mathematics & Computer Science, Delft University of Technology (TU Delft) in the Netherlands.
Background
- Dr. Guanliang Chen is a Senior Lecturer in the Faculty of Information Technology, Monash University, Australia. His research interests include Artificial Intelligence in Education, Natural Language Processing, and Learning Analytics. He particularly aims to apply state-of-the-art language technologies to utilize textual data collected in various educational settings (e.g., Q&A pairs in discussion forums, instructor-crafted feedback, and student-generated reflective statements) to construct a more inclusive learning environment. His research work centers around two themes: fairness, accountability, and transparency of Machine Learning techniques in education; automatic collection and generation of quality educational materials (e.g., assessment questions and informative feedback). He is also looking for self-motivated Ph.D. students interested in technology-enhanced education to work with him.
Miscellany
- For prospective students: He is always looking for self-motivated Ph.D. students with a strong interest in research on technology-enhanced education to work with him. He is also happy to work with master and undergraduate students at Monash University.
