Faculty Members of CAIDA

Researchers Focused on Fundamental Methods in AI

The researchers in this group focus most of their research on developing fundamental AI methods. They tend to publish regularly in top AI methods conferences such as NeurIPS, ICML, AAAI, IJCAI and journals such as JMLR, MLJ, AIJ, JAIR.

Member Department Research Interests
Muhammad Abdul-Mageed iSchool Natural language processing; deep learning; social media mining
Alexandre Bouchard-Côté Statistics Inference; Monte Carlo methods; phylogenetics; cancer genomics; Bayesian methods; combinatorial spaces; stochastic processes
Trevor Campbell Statistics Large-scale data; Bayesian inference; Bayesian nonparametrics; Optimization; Model approximation
Giuseppe Carenini Computer Science Natural Language Processing; Summarization; Discourse Parsing; Natural Language Generation; Intelligent User Interfaces; Interactive Topic Modeling; Decision Support; Preference Elicitation and Visualization; User Modeling;
Cristina Conati Computer Science Intelligent User Interfaces, Intelligent Virtual Agents, Explainable AI, AI in Education, Affective Computing
Michael Friedlander Computer Science Optimization
Eldad Haber Earth and Ocean Sciences Deep networks, PDEs, HPC
Nick Harvey Computer Science Machine learning theory, optimization
Holger Hoos Computer Science Automated algorithm design, local search, optimization
Laks Lakshmanan Computer Science Social networks and media; recommender systems; data cleaning; data mining
Kevin Leyton-Brown Computer Science CIFAR logo   Machine Learning; Algorithms; Optimization; Market design; Game theory
Jim Little Computer Science Computer vision; mobile robotics
Alan Mackworth Computer Science Constraint-based artificial intelligence; hybrid systems; constraint-based agents; assistive technology; sustainability
Sara Mostafavi Statistics CIFAR logo   Computational Biology; Genomics
David Poole Computer Science Statistical relational AI; reasoning under uncertainty; machine learning; relational learning; knowledge representation; ontologies; preferences; probabilistic inference; probabilistic programming; actions; semantic science; AI education
Martin Puterman Sauder Markov decision processes:theory and applications; approximate dynamic programming; stochastic scheduling
Siamak Ravanbakhsh Computer Science Deep learning, equivariance
Mark Schmidt Computer Science CIFAR logo   Machine Learning; Numerical Optimization
Leonid Sigal Computer Science CIFAR logo   Computer Vision, Visual Understanding and Reasoning, Deep Learning, Machine Learning
Michiel van de Panne Computer Science Deep reinforcement learning; motion synthesis; computer animation; robotics and control
Frank Wood Computer Science CIFAR logo   Probabilistic programming; artificial intelligence; unsupervised deep learning


Other CAIDA Members

The remainder of CAIDA's membership is extremely diverse, with expertise spanning the full range from mathematical foundations of AI to applications (e.g., to medicine; chip design; graphics; and many more....) to public policy.

Member Department AI-Related Research Interests
Tor Aamodt Electrical & Computer Engineering Hardware accelerators for machine learning
Purang Abolmaesumi Electrical & Computer Engineering Biomedical engineering, medical image analytics
Yusuf Altintas Mechanical Engineering Adaptive control
Sam Aparicio Pathology and Laboratory Medicine  
Curtis Berlinguette Chemistry Autonomous laboratory for discovery of clean energy materials
Hasan Cavusoglu Sauder Applied AI Research in Economics, NLP, Deep Learning
James Colliander Math  
Paul Cubbon Sauder Health; bio; agtech; safety
Leanne Currie Nursing Computerized clinical decision support; data science in healthcare; patient-generated data; patient safety
Guy Dumont Electrical & Computer Engineering Physiological monitoring; Healthcare; Video monitoring; Intensive care; Home care; Neonatology; Weld Quality Monitoring; Robotic welding
Hu Fu Computer Science  
Qiang Fu Sociology Text & Data Mining, Survey Methodology, Demographic Methods, Network and Spatial Analysis
Rafeef Garbi Electrical & Computer Engineering Computer vision; Image analysis; Medical imaging; Signal computing; Biomedical applications
Mike Gelbart Computer Science Hyperparameter optimization
Bhushan Gopaluni Chemical and Biological Engineering Classification (SVM), Regression, Dimensionality Reduction (PCA, PLS, ISOMAP), Learning Algorithms (Deep Learning, Gaussian Processes), Sequential Monte Carlo, Process Data Analytics
Chen Greif Computer Science Numerical linear algebra, constrained optimization, numerical solution of partial differential equations
Jason Hein Chemistry Self-Driving Chemical Laboratories; Laboratory Robotics; Autonomous Chemical Discovery
Alan Hu Computer Science  
Maryam Kamgarpour Electrical & Computer Engineering game theory; learning Nash equilibria; online and bandit optimization; safe learning; safe control synthesis; mixed integer optimization; stochastic optimization; distributed decision making; multi-agent control; rescue/distaster-response robotics, transportation systems, power grid systems
Guy Lemieux Electrical & Computer Engineering Field-Programmable Gate Arrays
Philip Loewen Math  
Karon MacLean Computer Science Gesture recognition; activity identification; dynamic emotion modeling
Jose Marti Electrical & Computer Engineering Decision making in large complex systems; resilience of power system networks, disaster response; modelling of economic systems
Joanna McGrenere Computer Science Adaptive user interfaces
Bill Miller Occupational Science & Occupational Therapy Mobility; wheelchair; health informatics; clinical application; evaluation;
Sanja Miskovic Mining Engineering  
Iliya Miskovic Mining Engineering AI-Assisted Geoscience and Resource Modeling; Digital Twins for Mining and O&G; Intelligent Embedded Systems; Autonomous Resource Extraction Processes and Machinery.
Ian Mitchell Computer Science Sharing control between humans and automation; robots and cyber-physical systems; assistive technology for mobility; verification of safety and correctness; numerical computing; differential equations
Gene Moo Lee Sauder Industry intelligence; social media; cybersecurity; mobile ecosystem
Tamara Munzner Computer Science integrating machine learning and visual analytics
Gail Murphy Computer Science Recommender systems and ML for software engineering and knowledge worker productivity
Ning Nan Sauder Agent-based models, computer simulations, AI-human interaction
Raymond Ng Computer Science Natural Language Processing
Gunilla Öberg Institute for Resources, Environment, and Sustainability Science for policy, value conflicts, emerging contaminants, resource use and reuse, unequal distribution of risks and benefits, assessing and communicating hazards and risks under uncertainty
Taylor Owen Journalism  
Dinesh Pai Computer Science  
Rachel Pottinger Computer Science data management; intelligent data interaction; data understanding and exploration
Peter Reiner Psychiatry Neuroethics; extended mind; agency; autonomy; enhancement
Julie Robillard Medicine Assistive technology; Alzheimer disease; dementia, affective computing; emotion; identity; patient experience of AI technology
Rob Rohling Electrical & Computer Engineering Medical imaging; ultrasound
Andrew Roth BC Cancer Research Centre Computational biology; Bayesian models
Julia Rubin Electrical & Computer Engineering Testing of ML algorithms; fairness in ML; software engineering for ML
Tim Salcudean Electrical & Computer Engineering  
Sohrab Shah Molecular Oncology  
Alla Sheffer Computer Science Computer Graphics; Shape Analysis;Shape Modeling
Sudip Shekhar Electrical & Computer Engineering Machine learning Processor Design, ASIC, Edge Computing, Low Power
Bruce Shepherd Computer Science Optimization; networks
Roger Tam Radiology Medical imaging; MRI; clinical prognostication; precision medicine; classification; segmentation
Mike Van der Loos Mechanical Engineering  
Carlos Ventura Civil Engineering Structural Health Monitoring of Infrastructure, Structural Damage Detection and Condition Assessment
Rajesh Vijayaraghavan Sauder Accounting and risk management in banks and insurance companies; Machine learning; Corporate Finance; Corporate governance and performance measurement
Jane Wang Electrical & Computer Engineering AI medical; deep learning for media security; image/ video analytics
Andrew Warfield Computer Science  
Vincent Wong Electrical & Computer Engineering wireless communications; mobile networking; Internet of Things; energy systems
Carson Woo Sauder Applications of intelligent agent concepts (e.g., learning and reasoning) in requirements engineering and business analysis
Dongwook Yoon Computer Science AI applications to human-computer interaction; multimodal user interfaces; speech and gesture user interfaces; video user interfaces; computer-supported cooperative work.
Peter Zandstra Biomedical Engineering  


K, Citations


$M, Research Income