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Neural Networks and Applications

Neural Networks and Applications

216 faculty research Neural Networks and Applications on GradNova.

B
Brain Inspired Artificial Intelligence
Machine Learning
Neuroscience
Neural Dynamics and Brain Function
+4
S
Aeolian Processes and Effects
Coastal and Marine Dynamics
Coastal Wetland Ecosystem Dynamics
Neural Networks and Applications
S
Evolutionary Algorithms and Applications
Metaheuristic Optimization Algorithms Research
Neural Networks and Applications
Software Engineering Research
+1
D
Advanced Neural Network Applications
Biometric Identification and Security
Face and Expression Recognition
Image Retrieval and Classification Techniques
+1
F
Digital Accessibility for Disabilities
Gender and Technology in Education
Liver Disease and Transplantation
Neural Networks and Applications
+1
A
Advanced Graph Neural Networks
Cell Image Analysis Techniques
Explainable Artificial Intelligence (xai)
Neural Networks and Applications
+1
C
AI in Cancer Detection
Data Visualization and Analytics
Neural Networks and Applications
Phase Change Materials Research
+1
N
Advanced Memory and Neural Computing
Neural Dynamics and Brain Function
Neural Networks and Applications
Neural Networks and Reservoir Computing
+1
T
Tananun Songdechakraiwut

Assistant Research Professor of Computer Science

Computer Science

Duke University

Advanced Neuroimaging Techniques and Applications
Bioinformatics and Genomic Networks
Functional Brain Connectivity Studies
Neural Networks and Applications
+1
S
Biologically Inspired AI
Multi-Agent Systems
Software System Design
Swarm Intelligence
+5
K
Kaustubha Mendhurwar

Lecturer, Computer Science and Software Engineering

Computer Science

Concordia University

Analog and Mixed-Signal Circuit Design
Human Pose and Action Recognition
Neural Networks and Applications
Spectroscopy and Chemometric Analyses
+1
A
Adam Krzyzak

Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Control Systems and Identification
Face and Expression Recognition
Image and Signal Denoising Methods
Neural Networks and Applications
+1
R
Richard Zemel

Trianthe Dakolias Professor of Engineering and Applied Science and Professor of Computer Science

Computer Science

Columbia University

Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Neural Networks and Applications
+1
V
Empirical Inference
Machine Learning
Statistical Learning Theory
Neural Networks and Applications
+4
M
Michael Lewicki, PhD

Professor, Computer and Data Sciences Department, Case School of Engineering

Computer Science

Case Western Reserve University

Blind Source Separation Techniques
Image and Signal Denoising Methods
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
N
Evolution and Genetic Dynamics
Evolutionary Game Theory and Cooperation
Generative Adversarial Networks and Image Synthesis
Model Reduction and Neural Networks
+1
A
Artur W. Dubrawski

Alumni Research Professor of Computer Science

Computer Science

Carnegie Mellon University

Healthcare Technology and Patient Monitoring
Machine Learning in Healthcare
Neural Networks and Applications
Non-Invasive Vital Sign Monitoring
+1
R
Advanced Neural Network Applications
Neural Networks and Applications
Parallel Computing and Optimization Techniques
Software Engineering Research
+1
T
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Optical Measurement and Interference Techniques
Neural Dynamics and Brain Function
+4
S
Scott E Fahlman

Research Faculty Emeritus - Contingent

Computer Science

Carnegie Mellon University

Natural Language Processing Techniques
Neural Networks and Applications
Parallel Computing and Optimization Techniques
Semantic Web and Ontologies
+1
D
Diverse Scientific and Economic Studies
Nietzsche, Schopenhauer, and Hegel
Religion, Theology, and Education
Teaching and Learning Programming
+4
F
Farah Chanchary

Contract Instructor and Lab and Course Coordinator

Computer Science

Carleton University

Computational Geometry and Mesh Generation
Data Management and Algorithms
Graph Theory and Algorithms
Neural Networks and Applications
+1
D
Artificial Intelligence in Games
Music and Audio Processing
Music Technology and Sound Studies
Neural Networks and Applications
+1
T
Adversarial Robustness in Machine Learning
Blockchain Technology Applications and Security
Privacy-Preserving Technologies in Data
Neural Networks and Applications
+4
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