Faculty profile
Christos Thrampoulidis
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a University of British Columbia directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $96,000
Advancing Display Technology: Objective Metrics for Flicker Assessment in Variable Refresh Rate Displays
NSERC · 2024 · Co-investigator
- $250,000
Opening the Approvals Black Box: Leveraging Large Language Models and City Council Public Records to Understand Housing Supply
SSHRC · 2023 · Co-investigator
- $300,000
Artificial Intelligence for Smart Cities and Intelligent Transportation
NSERC · 2022 · Co-investigator
Advancing Display Technology: Objective Metrics for Flicker Assessment in Variable Refresh Rate Displays
Principal investigators: Nasiopoulos, Panos P
Keywords: contrast sensitivity; display flickering; fourier transform; human perception; objective metrics; signal processing; subjective tests; variable refresh rate; wavelet tranform
Opening the Approvals Black Box: Leveraging Large Language Models and City Council Public Records to Understand Housing Supply
Principal investigators: Harten, Julia Gabriele
Keywords: housing development; natural language processing; large language models; artificial intelligence; affordability crisis
Artificial Intelligence for Smart Cities and Intelligent Transportation
Principal investigators: Nasiopoulos, Panos P
Keywords: artificial intelligence; autonomous driving; deep learning; digital video; edge and cloud computing; intelligent transportation; road condition detection; smart city; traffic signs and parking detection; v2x perceptual collaboration
Fairness fundamentals: Geometry-inspired algorithms and Long-term implications
Principal investigators: Thrampoulidis, Christos C
Keywords: algorithm design; data imbalances; deep learning; deep-learning representations; fairness; fundamentals; generalization; group imbalances; implicit bias; long-tailed learning
Fundamentals of Modern Machine Learning: A Precise High-dimensional Approach
Principal investigators: Thrampoulidis, Christos
Keywords: fundamental limits; sharp asymptotics; high-dimensional data; gaussian process inequalities; multiclass classification; adversarial training; robust learning; overparameterization; equitable learning; model pruning/compression
Rising from the pandemic: Towards sustainable development of machine learning technologies for point-of-care Ultrasound Imaging
Principal investigators: Abolmaesumi, Purang P
Fundamentals of Modern Machine Learning: A Precise High-dimensional Approach
Principal investigators: Thrampoulidis, Christos
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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