Artificial intelligence (AI)

This class comprises research and experimental development in artificial intelligence (AI).
Parent Category
Sub-Categories
Adaptive agents
Intelligent robotics
Artificial life
Machine learning
Natural language processing
Knowledge representation
Planning and scheduling in artificial intelligence
Search methodologies in artificial intelligence
Distributed artificial intelligence
Data mining
Pattern recognition and artificial vision
Computer vision in artificial intelligence
Cognitive computing
Computer modelling on perception, memory and attention
Logic programming in artificial intelligence
Expert systems technologies in artificial intelligence
Artificial intelligence, n.e.c.
 
 
 
 

UBC Researchers conducting research in Artificial intelligence (AI)

A

Abdul-Mageed, Muhammad

Department of Linguistics, Faculty of Arts

Faculty (G+PS eligible/member)

Artificial intelligence (AI); Deep Learning; Natural Language Processing; Machine Learning; Computational Linguistics; Social Media Mining; Arabic

G

Goerges, Matthias

Department of Anesthesiology, Pharmacology & Therapeutics, Faculty of Medicine

Faculty (G+PS eligible/member)

Electronic health (e-Health); Health information systems (including surveillance); Expert systems technologies in artificial intelligence; Anesthesiology; Medical devices; Human-computer systems and interface; Bio-signal processing and analysis; Digital health; predictive analytics; decision support systems; Critical Care Medicine; Biomedical Technologies; Health Care Technologies; Human Computer Interaction and Design; Medical informatics; Software Development; patient-oriented research; Data sharing / open data

H

Hacihaliloglu, Ilker

Department of Radiology, Department of Medicine, Faculty of Medicine

Faculty (G+PS eligible/member)

Bio-signal processing and analysis; Medical biotechnology; Biomedical signal processing; Image guided surgery systems; Medical and biomedical engineering, n.e.c.; Data analytics and signal processing, n.e.c.; Artificial intelligence (AI); Extraction of relevant information from 3D medical images; Image Guided Surgery; computer assisted diagnosis; Deep Learning; point of care ultrasound; ultrasound image processing; Brain Health; orthopedic surgery; liver disease; lung disease; traumatic Brian injury; neurosurgery; Biomedical Engineering

Heagy, Lindsey

Department of Earth, Ocean & Atmospheric Sciences, Faculty of Science

Faculty (G+PS eligible/member)

Geoelectrics and geoelectromagnetics; Magnetism and paleomagnetism; Gravimetry; Environmental monitoring; Numerical computation; Machine learning; Geophysics; Inverse theory; data science; Machine Learning; Electromagnetics; Carbon sequestration; Groundwater; Environmental geophysics; Resource exploration

M

Mallik, Wrik

Faculty of Applied Science

Postdoctoral Fellow

Fluid-structure interaction; Acoustics and noise control (except architectural acoustics); Machine learning; Reduced-order modelling; Machine Learning; Underwater wave propagation; Multidisciplinary design optimization

McDonald, Daniel

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation

P

Pleiss, Geoffrey

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning

R

Robeva, Elina

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; Machine learning; Algebra; Algebraic statistics; Graphical Models; Tensor decomposition; Causality; Applied algebraic geometry; Shape-constrained density estimation; Tensor networks

T

Tam, Roger

School of Biomedical Engineering, Faculty of Medicine

Faculty (G+PS eligible/member)

Machine learning; Biomedical signal processing; Biomedical Design and Innovation; Biomedical Technologies; Computer Science and Statistics; Data Analytics; Medical Imaging; Machine Learning; Neurodegenerative diseases; Precision Medicine; Radiology

Traboulsee, Tony

Division of Neurology, Faculty of Medicine

Faculty (G+PS eligible/member)

Neurology; Central nervous system; Biomedical signal processing; Machine learning; Imaging; magnetic resonance imaging; multiple sclerosis; neuromyelitls optica (NMO)

Y

Yi, Kwang Moo

Department of Computer Science, Faculty of Science

Faculty (G+PS eligible/member)

Computer vision in artificial intelligence; Pattern recognition and artificial vision; Computer Vision; Machine Learning; Visual Geometry; Astronomy; Biomedical imaging
 

Student & Alumni Stories in Artificial intelligence (AI)

Mohammad Zandsalimy

Student

Doctor of Philosophy in Mechanical Engineering (PhD)

Stability analysis and improvement of finite volume methods
Faeze Keshavarz's image

Faeze Keshavarz

Student

Doctor of Philosophy in Bioinformatics (PhD)

Understanding cellular pathways modifications in cancer using the transcriptome
Brandon McNabb's image

Brandon McNabb

Student

Doctor of Philosophy in Oceanography (PhD)

Characterizing the distributions and mechanisms driving oceanic methylated sulfur cycling

Quanhan Xi

Student

Doctor of Philosophy in Statistics (PhD)

Representing latent interventions in generative models

Nicholas Richardson

Student

Doctor of Philosophy in Mathematics (PhD)

Signal decomposition and source separation

Jarrett Blair

Student

Doctor of Philosophy in Zoology (PhD)

Bulk classification of terrestrial invertebrates using computer vision and DNA metabarcoding
Luke Polson's image

Luke Polson

Student

Doctor of Philosophy in Medical Physics (PhD)

Enhancement and quantification in nuclear medicine imaging using artificial intelligence
Headshot of Zitao Chen

Zitao Chen

Student

Doctor of Philosophy in Electrical and Computer Engineering (PhD)

Making machine learning reliable, secure and private

Betty Shea

Student

Doctor of Philosophy in Computer Science (PhD)

Optimization methods

Mohit Pandey

Student

Doctor of Philosophy in Bioinformatics (PhD)

Exploration of large chemical spaces with deep reinforcement and active learning

Oliver Jacobs

Student

Doctor of Philosophy in Psychology (PhD)

Visual behaviour and its relation to memory

Rama El-khawaldeh

Student

Doctor of Philosophy in Chemistry (PhD)

Computer vision for real-time monitoring and control of chemical processes

Mahdi Ebrahimi Kahou

Student

Doctor of Philosophy in Economics (PhD)

Can machine learning enhance economic models with heterogeneity?

Ife Adebara

Student

Doctor of Philosophy in Linguistics (PhD)

Inclusive by Design: Natural Language Technology for Africa
 
 

Academic Units in Artificial intelligence (AI)

Department of Computer Science

Department of Linguistics
 
 
French Name
Intelligence artificielle (IA)
French Description
Cette classe comprend la recherche et le développement expérimental en intelligence artificielle (IA).
 
 

Sign up for an information session to connect with students, advisors and faculty from across UBC and gain application advice and insight.

View upcoming sessions