Assistant Professor, U-M Dearborn
Computer and Information Science
Ph.D., Computer Science and Engineering, University of Connecticut, U.S.
Master, Applied Mathematics, Xi'an Jiaotong University, China
Bachelor, Applied Mathematics, Northwestern Polytechnical University, China
Lu joined the CIS Department at U-M Dearborn as an Assistant Professor. He received his PhD in Computer Science from the University of Connecticut in 2019. His research interests include data science, machine learning, data mining, optimization, recommendation system, health informatics, and bioinformatics. His work has been published in top venues in his field including IEEE Transactions on Big Data, ICML, NIPS, UbiComp, BIBM, BMC System Biology, and IEEE Big Data.
mental health studies using multi-modal big data
Bayesian Modeling | Data science / Analytics / AI | mental health
- Co-investigator of: Physics informed machine learning modelling of Li dendrite growth in Li-ion batteries
- Principal investigator of: CRII: RI: Multi-Granular Machine Learning from Complex Data
- Co-investigator of: MCA: New approaches to the detection of niche differentiation patterns in ecological communities