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Model Reduction and Neural Networks

Model Reduction and Neural Networks

154 faculty research Model Reduction and Neural Networks on GradNova.

K
Cardiac Imaging and Diagnostics
Cardiovascular Function and Risk Factors
Fluid Dynamics and Turbulent Flows
Fluid Dynamics and Vibration Analysis
+1
M
Ferroelectric and Negative Capacitance Devices
Fractional Differential Equations Solutions
Model Reduction and Neural Networks
Neural Networks and Reservoir Computing
+1
W
Wilkins Aquino, Ph.D.

Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science

Thomas Lord Department of Mechanical Engineering and Materials Science

Duke University

Computational Acoustics and Acoustics-Structure Interaction
Computational Inverse Problems and Their Applications in Engineering and Biomedicine
Computational Mechanics
Coupled Chemo-Mechanics
+7
B
Brian Vermeire

Associate Professor, Mechanical, Industrial and Aerospace Engineering

Department of Mechanical, Industrial and Aerospace Engineering

Concordia University

Aerodynamics
Applied Mathematics
Computational Fluid Dynamics
Direct Numerical Simulation
+10
F
Additive Manufacturing and 3D Printing Technologies
Additive Manufacturing Materials and Processes
Manufacturing Process and Optimization
Model Reduction and Neural Networks
+1
N
Cardiovascular Issues in Pregnancy
Coronary Artery Anomalies
Coronary Interventions and Diagnostics
Kawasaki Disease and Coronary Complications
+1
A
Amir Barati Farimani

Russell V. Trader Associate Professor, Mechanical Engineering

Department of Chemical Engineering

Carnegie Mellon University

Additive Manufacturing Materials and Processes
Computational Drug Discovery Methods
Machine Learning in Materials Science
Model Reduction and Neural Networks
+1
E
3D Printing in Biomedical Research
Cellular Mechanics and Interactions
Elasticity and Material Modeling
Machine Learning in Materials Science
+1
D
Multiscale Multiphysics Modeling and Simulation
Optimization and Uncertainty Quantification
Physics-Informed Machine Learning
Process Monitoring and Control
+5
J
Advanced Control Systems Optimization
Control Systems and Identification
Fault Detection and Control Systems
Microgrid Control and Optimization
+1
S
Sam Chevalier

Assistant Professor, Department of Electrical and Biomedical Engineering

Department of Electrical and Biomedical Engineering

University of Vermont

Electrical Power Systems
Machine Learning
Network Optimization
Power System Optimization and Stability
+4
E
Eitan Grinspun

Professor Associate Chair, Communications, Mentoring and Inclusion

Computer Science

University of Toronto

Computational Mechanics
Computer Graphics
Contact Mechanics
Discrete Differential Geometry
+6
K
Advanced Numerical Methods in Computational Mathematics
Computational Fluid Dynamics and Aerodynamics
Fluid Dynamics and Vibration Analysis
Model Reduction and Neural Networks
+1
R
Islanding Detection in Power Systems
Microgrid Control and Optimization
Model Reduction and Neural Networks
Optimal Power Flow Distribution
+1
S
Sachin Sapatnekar

Distinguished McKnight University Professor, Robert and Marjorie Henle Chair

Department of Electrical and Computer Engineering

University of Minnesota

Low-Power High-Performance VLSI Design
VLSI and FPGA Design Techniques
Semiconductor Materials and Devices
Advancements in Semiconductor Devices and Circuit Design
+1
Z
Advanced Electron Microscopy Techniques and Applications
Medical Imaging Techniques and Applications
Model Reduction and Neural Networks
Pulsars and Gravitational Waves Research
+1
X
Copper Interconnects and Reliability
Low-Power High-Performance VLSI Design
Model Reduction and Neural Networks
Semiconductor Materials and Interfaces
+1
T
Advanced Control Systems Optimization
Building Energy and Comfort Optimization
Energy Efficient Wireless Sensor Networks
Gaussian Processes and Bayesian Inference
+1
N
Computational Medicine
Computational Neuroscience
Equivariant Deep Learning
Geometric Deep Learning
+9
R
Image and Signal Denoising Methods
Model Reduction and Neural Networks
Neural Networks and Applications
Sparse and Compressive Sensing Techniques
+1
A
Aparna Chandramowlishwaran, Ph.D.

Associate Professor of Electrical Engineering and Computer Science; Mechanical and Aerospace Engineering

Department of Electrical Engineering and Computer Science

University of California, Irvine

Algorithm-Architecture Co-Design
Data Analysis
Domain-Specific Compilers
High-Performance Computing
+6
S
Distributed Control Multi-Agent Systems
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
G
Guandao Yang

Assistant Professor Fellow of the Advanced Micro Devices (AMD) Chair in Computer Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

3D Shape Modeling and Analysis
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
+1
Z
Differential Equations and Numerical Methods
Matrix Theory and Algorithms
Model Reduction and Neural Networks
Numerical Methods for Differential Equations
+1
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