Scholar
Linglong Kong
Google Scholar ID: K8iLilgAAAAJ
Professor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, Amii
Citations & Impact
Citations
2,085
H-index
26
i10-index
50
Publications
20
Co-authors
157
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Editorial Service:
- - 2022 - present: Associate Editor, Statistics and its interface
- - 2019 - present: Associate Editor, Journal of the American Statistical Association, Applications & Case Studies
- - 2017 - present: Associate Editor, Canadian Journal of Statistics
- - 2022 - 2023: Guest Editor, Statistics and its interface
- - 2021 - 2022: Guest Associate Editor, Frontiers in Neurosciences
- - 2019 - 2021: Associate Editor, International Journal of Imaging Systems and Technology
- - 2019 - 2021: Guest Editor, Canadian Journal of Statistics
- Fundings and Grants:
- - 2024 - 2026: Application of Explainability AI(XAI) in risk management department, MITACS $110,000 (PI)
- - 2024 - 2026: Integrating Dark Data into Diagnostic Biomarkers, Alberta Innovates AICE - Concepts $600,000 (Co-PI $60,000, PI Richard Fahlman - UAlberta)
- - 2024 - 2024: Minimizing Bias, Promoting Fairness for AI Modelling, MITACS $52,500 (PI)
- - 2023 - 2024: Reinforced Sequential Experimental Design, Amii RAP, $30,000 (PI)
- - 2023 - 2024: Estimation and inference under local-differential privacy, Amii RAP, $28,000 (PI)
- - 2023 - 2024: Debias with Sufficiency: A Theoretically-Grounded Framework for Feature Elimination in Vector Representation, Amii RAP, $30,000 (PI)
- - 2023 - 2024: Developing a framework for the evaluation of disclosure risks from tabular synthetic health data, CIFAR AI Catalyst project $44,000 (Co-PI, PI Khaled Emam- UOttawa)
- - 2023 - 2028: Understanding and predicting response to surgery for Trigeminal Neuralgia, CIHR $929,475 (Co-PI $92,947.50, PI Tejas Sankar - UAlberta)
- - 2022 - 2027: Pyroptosis in the CNS: molecular mechanisms and therapeutic targets in progressive MS, CIHR $1,032,750 (Co-PI $103,275, PI Chris Power - UAlberta)
- - 2021 - 2026: Personalized Online Learning and Dynamic Inference, Canada CIFAR AI Chair, $300,000 (PI)
- - 2020 - 2024: BIAS: Responsible AI for Labour Market Equality, Canada-UK Artificial Intelligence Initiative, $460,000 (PI; Co-PIs: Bei Jiang, Nicole Denier, Karen Hughes - U Alberta)
- - 2020 - 2025: Novel Statistical Methods in Neuroimaging Data Analysis, Canada Research Chair, $700,000 (PI)
- - 2018 - 2024: Novel Statistical Methods in Functional and Brain Imaging Data Analysis, NSERC-RGPIN, $246,000 (PI)
Research Experience
- Current Positions:
- - Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta
- - Canada Research Chair in Statistical Learning
- - Canada CIFAR AI Chair
- - Fellow of the Alberta Machine Intelligence Institute (Amii)
Education
- 2009: Ph.D. 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
Background
- Research Interests: Functional and Neuroimaging Data Analysis, Statistical Machine Learning, Robust Statistics and Quantile Regression, Artificial Intelligence in Smart Health
- Professional Field: Statistics, Machine Learning, Neuroimaging Data Processing
- Introduction: Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada Research Chair in Statistical Learning, Canada CIFAR AI Chair, Fellow of the Alberta Machine Intelligence Institute (Amii).
