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Model Reduction and Neural Networks

30 faculty research Model Reduction and Neural Networks on GradNova.

2

Eric Heisler

Assistant Professor, Lecturer

School of Computing

University of Utah

Advanced Numerical Methods in Computational Mathematics

Distributed and Parallel Computing Systems

Lattice Boltzmann Simulation Studies

Model Reduction and Neural Networks

+1

S

Stephen Tu

Assistant Professor of Electrical and Computer Engineering and Computer Science

Computer Science

University of Southern California

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Model Reduction and Neural Networks

Probabilistic and Robust Engineering Design

+1

P

Paris Perdikaris

Professor

Computer Science

University of Pennsylvania

Fluid Dynamics and Turbulent Flows

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Neural Networks and Applications

+1

M

Mahdi Abdelguerfi

Professor, Director of GulfSCEI Center

Computer Science

University of New Orleans

Advanced Multi-Objective Optimization Algorithms

Generative Adversarial Networks and Image Synthesis

Model Reduction and Neural Networks

D

David Bortz

Professor

Computer Science

University of Colorado Boulder

Coagulation and Flocculation Studies

Mathematical and Theoretical Epidemiology and Ecology Models

Mathematical Biology Tumor Growth

Model Reduction and Neural Networks

+1

R

Rebecca Morrison

Assistant Professor

Computer Science

University of Colorado Boulder

Bayesian Modeling and Causal Inference

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Probabilistic and Robust Engineering Design

+1

S

Saber Jafarpour

Assistant Research Professor

Computer Science

University of Colorado Boulder

Adversarial Robustness in Machine Learning

Control and Stability of Dynamical Systems

Microgrid Control and Optimization

Model Reduction and Neural Networks

+1

E

Evangelos Chatziafratis

Assistant Professor

Computer Science and Engineering

University of California, Santa Cruz

Model Reduction and Neural Networks

Network Security and Intrusion Detection

Neural Networks and Applications

Smart Grid Security and Resilience

+1

X

Xiaohui Xie

Professor

Computer Science

University of California, Irvine

Model Reduction and Neural Networks

Numerical Methods in Inverse Problems

Stochastic Gradient Optimization Techniques

A

Aditi Krishnapriyan

Below The Line Assistant Professor

Computer Science

University of California, Berkeley

Artificial Intelligence (ai)

Scientific Computing (sci)

Machine Learning in Materials Science

Model Reduction and Neural Networks

+3

J

Jaijeet Roychowdhury

Professor

Computer Science

University of California, Berkeley

Artificial Intelligence (ai)

Computer Architecture & Engineering (arc)

Control, Intelligent Systems, and Robotics (cir)

Cyber-Physical Systems and Design Automation (cpsda)

+7

P

Peter Yichen Chen

Assistant Professor

Computer Science

University of British Columbia

Artificial Intelligence & Machine Learning

Robotics

Scientific Computing

Visual Computing

+5

C

Chaity Banerjee

Assistant Professor

Computer Science

University of Alabama in Huntsville

Advanced Neural Network Applications

Anomaly Detection Techniques and Applications

Machine Learning and Data Classification

Model Reduction and Neural Networks

+1

L

Linda Petzold

Distinguished Professor

Computer Science

University of California, Santa Barbara

Distributed and Parallel Computing Systems

Gene Regulatory Network Analysis

Model Reduction and Neural Networks

Numerical Methods for Differential Equations

+1

N

Nima Kalantari

Associate Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Face Recognition and Analysis

Facial Rejuvenation and Surgery Techniques

Lattice Boltzmann Simulation Studies

Model Reduction and Neural Networks

+1

N

Nikhil Muralidhar

Assistant Professor

Computer Science

Stevens Institute of Technology

Anomaly Detection Techniques and Applications

Fluid Dynamics and Vibration Analysis

Lattice Boltzmann Simulation Studies

Model Reduction and Neural Networks

+1

A

Alex LaGrassa

Teaching Assistant Professor

Computer Science

Stevens Institute of Technology

Model Reduction and Neural Networks

Reinforcement Learning in Robotics

Robot Manipulation and Learning

Robotic Path Planning Algorithms

+1

M

Mridul Aanjaneya

Associate Professor

Computer Science

Rutgers University

Advanced Numerical Methods in Computational Mathematics

COVID-19 Epidemiological Studies

Mathematical and Theoretical Epidemiology and Ecology Models

Model Reduction and Neural Networks

+1

E

Professor

Reinforcement Learning in Robotics

Model Reduction and Neural Networks

+3

W

Wenqian Dong

Assistant Professor

Electrical Engineering and Computer Science

Oregon State University

Networking and Computer Systems

Parallel Computing and Optimization Techniques

Advanced Data Storage Technologies

Model Reduction and Neural Networks

+2

E

Elizabeth Qian

Assistant Professor, Joint with the Daniel…

College of Computing

Georgia Institute of Technology

Generative Adversarial Networks and Image Synthesis

Model Reduction and Neural Networks

Tensor Decomposition and Applications