I am taking new Ph.D. student from overseas. Please contact me by email, if you are interested in pursuing the research directions in artificial intelligence and its applications in education.

Positions

Deputy Director, School of Educational Technology

Director of Artificial Intelligence Lab, Advanced Innovation Center for Future Education

Bio

Yu LU received the Ph.D. from National University of Singapore in computer engineering. He is currently the deputy director of the School of Educational Technology, Faculty of Education, Beijing Normal University (BNU), where he also serves as the director of AI Lab at the advanced innovation center for future education (AICFE). He has published more than 100 academic papers in the prestigious venues, and serves as the associate editor for IEEE Transactions on Learning Technologies (TLT) and multiple other academic journals. He also serves as PC Co-Chair for International Conference on Artificial Intelligence in Education (AIED) and PC member/track chair for multiple international conferences (e.g., EDM, GCCCE, AAAI, ACL, EMNLP, IJCAI, ICCE). He has published three academic books and won the China New Development Award from Springer Nature. Before joining BNU, he was a research scientist and principle investigator at the Institute for Infocomm Research (I2R), A*STAR, Singapore. His research interests mainly sit at the intersection field of artificial intelligence and education

Research Interests

My current research interests sit at the intersection of artificial intelligence and educational technology, including learner modeling, educational robotics, intelligent tutoring system and educational data mining.

Education

B.S.      Beijing University of Aeronautics and Astronautics (Beihang University)

Ph.D.    National University of Singapore

Selected Publications

Yu Lu, Deliang Wang, Penghe Chen, Qianggang Meng, Shengquan Yu, 'Interpreting Deep Learning Models for Knowledge Tracing'. International Journal of Artificial Intelligence in Education (IJAIED), 2023, 33: 1-24.

Yu Lu, Deliang Wang, Penghe Chen and Zhi Zhang, "Design and Evaluation of Trustworthy Knowledge Tracing Model for Intelligent Tutoring System," IEEE Transactions on Learning Technologies (TLT), 2024, 17: 1701-1716. 

Yu Lu, Chen Chen, Penghe Chen and Shengquan Yu, 'Designing Social Robot for Adults Using Self-Determination Theory and AI Technologies,' IEEE Transactions on Learning Technologies (TLT), 2023, 16(2): 206-218.

Yu Lu, Penghe Chen, Yang Pian, Vincent W. Zheng, 'CMKT: Concept Map Driven Knowledge Tracing'. IEEE Transactions on Learning Technologies (TLT), 2022, 15(4): 467-480.

Yu Lu, Huayu Wu, Xin Liu, Penghe Chen, 'TourSense: A Framework for Tourist Identification and Analytics Using Transport Data'. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019, 31(12):2407-2422.

Yu Lu, Misra Archan, Sun Wen, Wu Huayu Wu, 'Smartphone sensing meets transport data: A collaborative framework for transportation service analytics'. IEEE Transactions on Mobile Computing (TMC), 2018, 17(4):945-960.

Yu Lu, Motani Mehul and W. C. Wong, 'A QoE-Aware Resource Distribution Framework Incentivizing Context Sharing and Moderate Competition', IEEE/ACM Transactions on Networking (TON), 2016, 24(3): 1364-1377.

Hannele Niemi, Roy Pea, Yu Lu.  AI in Learning: Designing the Future, Springer, 2022.

HONORS & AWARDS

China New Development Award, Springer Nature

Best Associate Editor Award, IEEE Transactions on Learning Technologies

Technology Innovation Award, eLearning Forum Asia (eLFA）

Full Publications:

https://scholar.google.com/citations?hl=zh-CN&user=yUqrEDcAAAAJ