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Neural Networks and Reservoir Computing

Neural Networks and Reservoir Computing

77 faculty research Neural Networks and Reservoir Computing on GradNova.

N
Advanced MRI Techniques and Applications
Advanced Neuroimaging Techniques and Applications
Neural Networks and Reservoir Computing
Robot Manipulation and Learning
+1
K
Advanced Manufacturing
Data Science & Artificial Intelligence
Energy
Engineering and Manufacturing
+6
K
Karthik Duraisamy

Professor, Mechanical Engineering; Professor, Aerospace Engineering; Associate Director of Michigan Institute for Computational Discovery and Engineering (MICDE)

Department of Mechanical Engineering

University of Michigan

Adjoint-Based Methods
Aerodynamics
Computational Science and Engineering
High-Performance Computing
+11
P
Adaptive and Morphing Systems Operating in Fluidic Environments
Controls
Dynamic Fluid-Structure Interactions
Hydro/aerodynamics
+8
F
Advanced Memory and Neural Computing
Control and Stability of Dynamical Systems
Model Reduction and Neural Networks
Neural Networks and Reservoir Computing
+1
A
Advanced Memory and Neural Computing
Complex Network Analysis Techniques
Gene Regulatory Network Analysis
Neural Networks and Reservoir Computing
+1
J
Advanced Memory and Neural Computing
Neural Dynamics and Brain Function
Neural Networks and Reservoir Computing
M
Ferroelectric and Negative Capacitance Devices
Fractional Differential Equations Solutions
Model Reduction and Neural Networks
Neural Networks and Reservoir Computing
+1
D
EEG and Brain-Computer Interfaces
Neural Networks and Reservoir Computing
Neuroscience and Neural Engineering
Photonic and Optical Devices
+1
Y
VLSI and Design Automation
Advanced Memory and Neural Computing
Neural Networks and Reservoir Computing
Ferroelectric and Negative Capacitance Devices
W
Computer Systems
Electronic Components, Circuits, and Systems
Orbital Angular Momentum in Optics
Neural Networks and Reservoir Computing
+3
A
Alex Yasha Yi

Director of Research, Connected Systems Institute; Professor, Electrical Engineering

Department of Electrical Engineering

University of Wisconsin–Milwaukee

Neural Networks and Reservoir Computing
Photonic and Optical Devices
Photonic Crystals and Applications
Semiconductor Quantum Structures and Devices
H
Neural Networks and Reservoir Computing
Optical Network Technologies
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+1
A
Advanced Memory and Neural Computing
Ccd and CMOS Imaging Sensors
Ferroelectric and Negative Capacitance Devices
Magnetic Properties of Thin Films
+1
C
Advanced Memory and Neural Computing
EEG and Brain-Computer Interfaces
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
S
Integrated Photonics
Mixed-Signal Integrated Circuits
Neurophotonics & Biophotonics
System Integration for Emerging Technologies
+5
W
Photonics, Optoelectronics, Nanomaterials, and Nanostructures
Photonic and Optical Devices
Neural Networks and Reservoir Computing
Carbon Nanotubes in Composites
+2
Q
Quntao Zhuang

Associate Professor of Electrical and Computer Engineering and Physics and Astronomy

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Mechanical and Optical Resonators
Neural Networks and Reservoir Computing
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+1
J
J. Joshua Yang

Arthur B. Freeman Chair Professor of Electrical and Computer Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Advanced Memory and Neural Computing
Conducting Polymers and Applications
Neural Networks and Reservoir Computing
Perovskite Materials and Applications
+1
A
Alan E. Willner

Andrew and Erna Viterbi Professorial Chair and Distinguished Professor of Electrical and Computer Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Neural Networks and Reservoir Computing
Optical Network Technologies
Optical Polarization and Ellipsometry
Orbital Angular Momentum in Optics
+1
R
Emerging Nanoscale Electronics
Hardware Design for Machine Learning Systems
Low-Power and Reliability-Aware VLSI Circuits
Neuromorphic Computing
+7
N
2D Materials and Applications
Neural Networks and Reservoir Computing
Optical Network Technologies
Phase-Change Materials and Chalcogenides
+1
Y
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Digital Transformation in Industry
Ferroelectric and Negative Capacitance Devices
+1
Q
Qing Qu

Assistant Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Computational Imaging
High Dimensional Data Analysis
Machine Learning
Numerical Optimization
+6
2

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