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Neural Networks and Applications

Neural Networks and Applications

216 faculty research Neural Networks and Applications on GradNova.

J
Computer Vision
Image/video Analytics
Machine Learning
Multimedia Networking
+5
P
Graph Optimization
Resilience of Critical Infrastructure
Space and Underwater Communications
Wireless Sensor Networks
+5
C
Chris Danforth

Secondary Appointments: Professor, Department of Mathematics and Statistics • Director, Vermont Advanced Computing Center • Co-Director, Computational Story Lab • Associate Director, Vermont Complex Systems Institute • Faculty Fellow, Gund Institute for Environment

Computer Science

University of Vermont

Chaos
Complex Systems
Computational Social Science
Global Happiness
+5
N
Neil Cotter

Professor (Lecturer), Advisor: Transfer Information / Honors Thesis

Department of Electrical and Computer Engineering

University of Utah

Neural Networks
Neural Networks and Applications
Neural Dynamics and Brain Function
Neuroscience and Neural Engineering
+2
K
Kaveh Ashenayi, Ph.D., P.E.

Hans A. Norberg Endowed Chair in Electrical Engineering | Professor of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Tulsa

Drilling and Well Engineering
Hybrid Renewable Energy Systems
Integrated Energy Systems Optimization
Neural Networks and Applications
+1
R
Bayesian Learning
Machine Learning
Neural Networks
Neural Networks and Applications
+4
B
Fuzzy Logic and Control Systems
Fuzzy Systems and Optimization
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
I
Advanced Chemical Sensor Technologies
Context-Aware Activity Recognition Systems
Food Supply Chain Traceability
Neural Networks and Applications
+1
N
Adversarial Machine Learning
Cyber-Physical System Security
IoT Security
Machine Learning-Based Intrusion Detection Systems
+7
A
Algorithmic Fairness
Bio-Inspired Neural Architectures
Deep Learning Theory
Lifelong Learning
+8
R
Ralf Haefner

Associate Professor of Brain & Cognitive Sciences; Associate Professor of Physics; Associate Professor of Computer Science

Computer Science

University of Rochester

Computational Neuroscience
Depth Perception/processing of Binocular Disparity
Neural Population Encoding and Decoding
Perceptual Decision-Making
+7
M
Advanced Control Systems Optimization
Fuzzy Logic and Control Systems
Hydraulic and Pneumatic Systems
Iterative Learning Control Systems
+1
S
Advanced Memory and Neural Computing
AI in Cancer Detection
Machine Learning and Algorithms
Network Security and Intrusion Detection
+1
R
Engineering Education and Curriculum Development
Engineering Education and Pedagogy
Gender and Technology in Education
Neural Networks and Applications
+1
S
Blind Source Separation Techniques
Educational Games and Gamification
Experimental Learning in Engineering
Neural Networks and Applications
+1
A
Additional Collaborative Work in Computer Vision
Embedded Systems
Time Series Data Predictions Using Machine Learning and Artificial Intelligence
Metaheuristic Optimization Algorithms Research
+2
M
Advanced Control Systems Optimization
Control Systems and Identification
Fault Detection and Control Systems
Neural Networks and Applications
+1
P
Advanced Adaptive Filtering Techniques
Analog and Mixed-Signal Circuit Design
Digital Filter Design and Implementation
Neural Networks and Applications
+1
V
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Formal Methods in Verification
Neural Networks and Applications
+1
D
Bayesian Modeling and Causal Inference
Complex Systems and Time Series Analysis
Control Systems and Identification
Gene Regulatory Network Analysis
+1
C
Clayton D Scott

Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Statistics

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning Theory, Methods, and Applications
Machine Learning Theory, Methods, and Applications.
Machine Learning and Algorithms
Machine Learning and Data Classification
+3
M
Biomedical Text Mining and Ontologies
Image Retrieval and Classification Techniques
Medical Image Segmentation Techniques
Neural Networks and Applications
+1
D
Neural Networks and Applications
Photonic and Optical Devices
Science Education and Pedagogy
Semiconductor Quantum Structures and Devices
+1
H
Machine Learning
Neural Networks and Applications
Topic Modeling
Computability, Logic, AI Algorithms
+2
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