Yue Lu, Adjunct Senior Lecturer (not working at IDT anymore)


Mr. Yue Lu has a Ph.D. in computer science, majored in data analysis and model-based development of real-time embedded systems. He received a M.Sc in Mechatronics from University of Southern Denmark (2005) focusing on model-based development of embedded software using state diagrams and C/C++, followed by a half-year work at Sony (Ericsson) as a test developer. At his Ph.D. work and a five-month research intern at INRIA Nancy-Grand Est, Yue typically had learned the knowledge and practiced his skills in using statistics and probability theory (e.g., extreme value theory, goodness-of-fit hypothesis test, non-parametric statistics, resampling, etc), to perform data analysis of real-time embedded systems. His other specialties lie in requirements traceability using statistics, probabilistic modeling, data fusion and integration, Bayesian analysis, simulation optimization, meta-heuristics, Monte Carlo simulation, model-based development, model-driven engineering, model validation, model checking, etc. Mr. Lu also worked as a research intern at Albright Stonebridge Group, by providing useful information and drawing some meaningful conclusions to the company, based upon his up-to-date knowledge on technical and non-technical trends as well as strategic play.

Dr. Lus research interests mainly lie in development of automated information retrieval techniques for requirements traceability by using cross-domain analysis methods, data analysis using statistics (e.g., statistical scheduling analysis of real-time embedded systems), probabilistic modeling of real-time embedded systems, data fusion and integration, Bayesian analysis, simulation optimization, meta-heuristics (e.g., Genetic Algorithms), Monte Carlo simulation, model-based development, model validation, model-driven engineering, model checking, etc. So far, Mr. Lu has authored 30 publications in total. Among these, he has been the first author of 21 peer-reviewed papers, one journal, one licentiate thesis, one Ph.D. thesis (i.e., http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-14628), one technical report, etc. Dr. Lu is vehemently pursuing some great opportunities, working together with their academic and industrial partners as a positive factor, to develop some win-win situations.

PhD students supervised as assistant supervisor:

Jiale Zhou (former)