General Situation

发布者:王健发布时间:2019-03-03浏览次数:39

Cross-Media Big Data Joint Laboratory (CMBDJL) belongs to China University of Petroleum (East China), and is a new and vigorous research and academic institution.

Since its establishment in 2017, with the strong support of China University of Petroleum (East China) and College of Science, Cross-Media Big Data Laboratory has reached fruitfully scientific and academic achievements, which are based on its own developmental advantages and the national development strategies of big data. The laboratory has been supported by the National Natural Science Foundation of China, the National Natural Science Foundation Youth Project, the Shandong Key Research and Development Project, the Shandong Agricultural Department's Major Extension Project, the Shandong Natural Science Foundation, the International Cooperation and Exchange Fund and more than 20 other key research and academic projects. The members have published (edited) 1 book and more than 130 academic papers.

 In addition, the laboratory has established tight cooperation with Dalian University of Technology, Xi'an Jiaotong University, Shandong Computer Science Center,  Southeast University, Indian Statistical Institute, Inonou University (Turkey) and University of Louisville (USA), as well as with other domestic and foreign research institutions.

There are more than 20 researchers in the laboratory, including 2 foreign academicians(Prof. Jacek M. Zurada, Life Fellow, IEEE, University of Louisville; Prof. Nikhil R. Pal, Fellow, IEEE, Indian Statistical Institute), 4 associate professors, 6 lecturers, 3 Ph.D students and 9 master students. The laboratory mainly recruits full-time Master and Ph.D candidates (cooperative training) with professional background of computer science, automation, electronic information, mathematics, control theory and control engineering. Students are required to own the solid professional theories foundation, programming and English writing skills, and have a strong interest in big data, artificial intelligence and machine learning. Here, look forward to your joining!