Professor from University of Alberta Lectured for School of Statistics Online

On April 28th, Professor Kong Linglong from the University of Alberta in Canada within the Department of Mathematics and Statistical Sciences, was invited to give a live online lecture entitled Significant Anatomy Detection Through Sparse Classification: A Comparative Study for teachers and students of the School of Statistics of JUFE. The lecture was presided over by Professor Liu Xiaohui, deputy dean of the School of Statistics, and was attended by more than 60 teachers and students from the School.

At the meeting, Professor Kong made a wonderful exposition of the application of statistics in neuroimaging research. First, Professor Kong shared the successful experience of cross-industry cooperation in the field of statistics and neuroimaging data analysis with students based on his own experience.

Secondly, Professor Kong pointed out that an important concern in the field of neuroimaging is to distinguish the patient from the normal population by analyzing brain scan image data, which has broad application prospects in the diagnosis of Alzheimer's patients in the medical field.

Finally, Professor Kong showed the specific performance of the four types of candidate models on simulated data and empirical data and selected the best classification model.

Professor Kong’s report combines theory with practice, greatly improves the legibility of statistical theoretical knowledge, broadens the horizons of the teachers and students and challenges them to engage in related research, arouses students’ interest in learning.

[Extended Reading]

The University of Alberta is one of the largest research universities in Canada, and its research atmosphere and research conditions enjoy a widespread reputation in Canada and even North America. The University of Alberta alumni include the 16th Prime Minister of Canada, three Nobel Prize winners, 75 Rhodes Scholars, and 111 Canadian Chief Research Professors. Its artificial intelligence major is in a leading position in the world. Rich Sutton, the father of reinforcement learning, and Alpha Go's main authors David Silver and Aja Huang are all from the University of Alberta. As a young and middle-aged representative of Canadian statistics, Professor Kong's main research fields are robust statistics, functional data, statistical machine learning, and neuroimaging data analysis. Nearly 40 accepted papers have been published in the top international journals in the field of statistics, The Annals of Statistics, Journal of American Statistical Association, Journal of the Royal Statistical Society: Series B and other journals. Professor Kong is currently an editorial board member of Journal of American Statistical Association and The Canadian Journal of Statistics, and has extensive cooperation with other related scholars. Professor Kong currently has a large academic team consisting of visiting scholars, postdoctoral fellows and PhD candidates, 2 of them from the School of Statistics.