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Neural Networks and Applications

Neural Networks and Applications

216 faculty research Neural Networks and Applications on GradNova.

H
Neural Networks and Applications
Wireless Signal Modulation Classification
E
Advancements in Semiconductor Devices and Circuit Design
Analog and Mixed-Signal Circuit Design
Image and Signal Denoising Methods
Low-Power High-Performance VLSI Design
+1
L
Advanced Graph Neural Networks
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Graph Theory and Algorithms
+1
J
Jean Anne Incorvia

Associate Professor, Engineering Foundation Endowed Faculty Fellowship in Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Magnetic Properties of Thin Films
Neural Networks and Applications
+1
J
Joydeep Ghosh

Professor, Schlumberger Centennial Chair in Electrical Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Clustering Algorithms Research
Bayesian Methods and Mixture Models
Face and Expression Recognition
Neural Networks and Applications
+1
M
Convolutional Neural Nets
Deep Learning
Neural Networks
Statistical Pattern Recognition
+3
R
Robin Pottathuparambil

Instructional Associate Professor, Electrical & Computer Engineering

Department of Electrical and Computer Engineering

Texas A&M University

Diamond and Carbon-Based Materials Research
Graphene Research and Applications
Neural Networks and Applications
Numerical Methods and Algorithms
+1
U
Advanced Statistical Methods and Models
Advanced Statistical Modeling Techniques
Control Systems and Identification
Machine Learning and Data Classification
+1
J
ECG Monitoring and Analysis
EEG and Brain-Computer Interfaces
Legal and Regulatory Analysis
Linguistic, Cultural, and Literary Studies
+1
X
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
D
Douglas Hall

Associate Professor, Graduate Program Director

Computer Science

Portland State University

Distributed and Parallel Computing Systems
Embedded Systems Design Techniques
Neural Networks and Applications
Parallel Computing and Optimization Techniques
+1
A
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
G
Advanced Multi-Objective Optimization Algorithms
Evolutionary Algorithms and Applications
Fault Detection and Control Systems
Metaheuristic Optimization Algorithms Research
+1
K
Kevin Passino

Professor, Electrical and Computer Engineering; Professor, Evolution, Ecology and Organismal Biology

Department of Electrical and Computer Engineering

The Ohio State University

Systems (control, Signal Processing and Computer Vision)
Advanced Control Systems Optimization
Fuzzy Logic and Control Systems
Adaptive Control of Nonlinear Systems
+2
D
Debdipta Goswami

Assistant Professor, Mechanical and Aerospace Engineering; Assistant Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

The Ohio State University

Advanced Memory and Neural Computing
Distributed Control Multi-Agent Systems
Model Reduction and Neural Networks
Neural Networks and Applications
+1
S
Seda Ogrenci

Professor of Electrical and Computer Engineering; Professor of Computer Science

Computer Science

Northwestern University

Advanced Memory and Neural Computing
Embedded Systems Design Techniques
Interconnection Networks and Systems
Neural Networks and Applications
+1
D
Deniz Erdogmus

COE Distinguished Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Northeastern University

AI for Health, Quality-Of-Life, and Clinical Innovation
AI for Scientific Discovery & Engineered Systems
Human-Centric Foundational & Physical AI
Signal Processing & Machine Learning
+5
M
Fuzzy Logic and Control Systems
Innovative Teaching and Learning Methods
Neural Networks and Applications
Psychometric Methodologies and Testing
+1
Z
Adaptive Control of Nonlinear Systems
Distributed Control Multi-Agent Systems
Neural Networks and Applications
Reinforcement Learning in Robotics
+1
E
Elza Erkip

Institute Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

New York University

Antenna Design and Analysis
Cooperative Communication and Network Coding
Neural Networks and Applications
Video Coding and Compression Technologies
+1
A
Andrew Gordon Wilson

Professor of Computer Science and Data Science

Computer Science

New York University

Bayesian Statistics
Machine Learning
Numerical Linear Algebra
Gaussian Processes and Bayesian Inference
+4
Y
Yann LeCun

Jacob T. Schwartz Chaired Professor in Computer Science

Computer Science

New York University

Autonomous Robotics
Computational Economics
Computational Neuroscience
Computational Statistics
+10
S
Constraints on Mobile and Distributed Databases
Data Science and Cybersecurity
Document Databases
Distributed Systems and Fault Tolerance
+4
M
Distributed Sensor Networks and Detection Algorithms
Fault Detection and Control Systems
Mobile Ad Hoc Networks
Neural Networks and Applications
+1
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