University of Alberta Department of Mathematical and Statistical Sciences
Welcome to Homepage of Linglong Kong!
Home Experience Publications Teaching Software Students Resume Links

 

Linglong Kong, Ph.D.
Assistant Professor
Department of Mathematical and Statistical Sciences
University of Alberta
Edmonton, AB Canada T6G 2G1
Office: CAB 431
Phone: (780) 492-0205
Fax: (780) 492-6826
Email: lkong-at-ualberta-dot-ca
 

Education
2009: PhD in Statistics, University of Alberta, Edmonton, Canada
2002: MS in Statistics, Peking University, Beijing, China
1999: BS in Probability and Statistics, Beijing Normal University, Beijing, China

Research Interests
Neuroimaging Data Analysis: Functional data analysis, Varying coefficient model, Multiscale adaptive regression model, Imaging genetics, Connectivity Analysis, MRI, fMRI, and DTI data analysis
Statistical Machine Learning: Variable screening and feature selection, Sparse learning, Dimension reduction, Adaptive learning, Missing data, Empirical likelihood, Experimental design
Robust Statistics: Multivariate, Functional, and Bayesian quantile regression, Depth-based methods, Robustness in neuroimaging data analysis, Robustness in machine learning

Funds and Grants
2017: Statistical machine learning applied to screening drivers with cognitive impairment, NSERC ENGAGE, $25,000 (total, PI)
2017: New statistical machine learning methods applied to high dimensional sensory input data from chemistry, MITACS, $30,000 (total, PI)
2016 - 2019: Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation, CANSSI-CRT, $180,000 (total, Co-PI, Co-PI: Farouk Nathoo U Victoria)
2016 - 2018: Using statistical methods to study the relationships between fat and weight changes during pregnancy and early postpartum, WCHRI, $50,000 (total, Co-PI, PI: Yan Yuan U Alberta)
2015 - 2018: Analyzing real estate transaction and pricing data via statistical machine learning, NSERC- CRDPJ, $180,000 (total, Co-PI, PI: Di Niu U Alberta)
2013 - 2018: Quantile Regression in Brain Imaging Data Analysis, NSERC-RGPIN, $75,000 (total, PI)
2012 - 2015: Start-up Funds, University of Alberta, $50,000 (total, PI)

Editorial Service
2017 - present: Associate Editor, Canadian Journal of Statistics

Honors and Awards
2015: Research Fellow, SAMSI
2014: IMS New Researchers Conference Travel Award, IMS
2014: New Research Fellow, SAMSI
2013: IMS New Researchers Conference Travel Award, IMS
2013: SAMSI Neuroimaging Data Analysis Workshop Travel Award, SAMSI
2013: Discovery Grant of Early Career Researcher (ECR) Supplement, NSERC
2013: ENAR Workshop for Junior Researchers Travel Award, ENAR
2012: Developing Statistical Methods for NeuroImaging Workshop Scholarship, NSF, USA
2008: Student Travel Award, Statistical Society of Canada
2007: The Best Consultant of the Year 2007, University of Alberta
2007: Mary Louise Imrie Graduate Student Award, University of Alberta
2005: Josephine Mitchell Scholarship, University of Alberta
2004: Provost Doctoral Entrance Award, University of Alberta
2004: Eoin L. Whitney Scholarship, University of Alberta
2003: Pundit RD Sharma Memorial Graduate Student Award, University of Alberta
2000: GangSong Graduate Student Scholarship, Peking University
1998: Second Rank Major Scholarship, Beijing Normal University
1997: Third Rank Major Scholarship, Beijing Normal University
1996: Second Rank Major Scholarship, Beijing Normal University
1994: Second Rank in National High School Mathematical Olympics Contest in China