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Deep Learning

Deep Learning

71 faculty research Deep Learning on GradNova.

F
Artificial Intelligence Algorithms
Deep Learning
Information Retrieval
Reinforcement Learning
+5
C
Christopher Kanan

Professor of Computer Science; Associate Director for AI Strategy, Goergen Institute for Data Science and Artificial Intelligence

Computer Science

University of Rochester

Applied Machine Learning (e.g. Medical Computer Vision)
Cognitive Science
Computer Vision
Deep Learning
+1
A
AI in Healthcare
Deep Learning
Interpretable Machine Learning
AI in Cancer Detection
+4
T
Deep Learning
Information Extraction
Machine Learning
Natural Language Processing
+5
J
Complex Datasets
Deep Learning
Density Estimation
Generative Models
+13
H
Honglak Lee

Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computer Vision
Deep Learning
Machine Learning
Multimodal Machine Learning Applications
+4
L
Data Mining
Deep Learning
Generative Models
Graph Learning
+7
X
Big Data Analytics
Climate Informatics
Cybersecurity Informatics
Deep Learning
+8
B
Artificial Intelligence > Machine Learning, Data Mining
Big Data and Data Science > Databases
Deep Learning
Machine Learning
+3
P
Adversarial Machine Learning
Bayesian Neural Networks
Deep Learning
Nuclear Reactor Physics and Engineering
+4
H
Huiping Cao

Professor, Tenure Track and Research Faculty

Computer Science

New Mexico State University

Data Integration
Data Mining
Database Systems
Deep Learning
+9
J
Cancer Research
Deep Learning
Medical Imaging
Public Health
D
Cloud Computing
Cyberinfrastructure
Data Mining
Deep Learning
+4
G
Deep Learning
Machine Learning
Theoretical Computer Science
M
Mingrui Liu

Assistant Professor, Department of Computer Science

Computer Science

George Mason University

Deep Learning
Machine Learning
Optimization
Statistical Learning Theory
Y
Yiming Xiao

Associate Professor, Computer Science and Software Engineering; Concordia University Research Chair in Intelligent & Intuitive Surgical Technology

Computer Science

Concordia University

Computer Vision
Computer-Assisted Diagnosis
Deep Learning
Explainable AI
+13
M
Mirco Ravanelli

Associate Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Audio Tokens
Deep Learning
Efficient AI
Foundation Models
+9
S
Sudhir Mudur

Professor, Computer Science and Software Engineering

Computer Science

Concordia University

3D Graphics
3D Reconstruction
Animation
Computer Graphics
+7
M
Mahdi S. Hosseini

Assistant Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Computational Pathology
Computer Vision
Deep Learning
T
Thomas Fevens

Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Artificial Intelligence in Healthcare
Computational Geometry
Computer-Aided Medical Diagnosis
Deep Learning
+4
T
Convex and Non-Convex Optimization.
Deep Learning
Machine Learning
Advanced Neural Network Applications
+4
Y
Yingxue Zhang

Assistant Professor, School of Computing

Computer Science

Binghamton University

Deep Learning
Imitation Learning
Meta-Learning
Spatial-Temporal Data Mining
+5
A
Computer Security
Computer Vision
Deep Learning
Hybrid Renewable Energy Systems
+4
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