GradNova

Model Reduction and Neural Networks

154 faculty research Model Reduction and Neural Networks on GradNova.

X

Xun (Ryan) Huan

Associate Professor, Mechanical Engineering

Department of Mechanical Engineering

University of Michigan

Uncertainty Quantification, Data-Driven Modeling, Numerical Optimization, Optimal Experimental Design, Bayesian Analysis, Machine Learning

Probabilistic and Robust Engineering Design

Advanced Multi-Objective Optimization Algorithms

Optimal Experimental Design Methods

+2

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

Computational Science and Engineering

High-Performance Computing

+11

D

Assistant Professor, Mechanical Engineering

Department of Mechanical Engineering

University of Michigan

Design, Modeling, and Control of Soft and Other Non-Traditional Robotic Systems With the Goal of Actualizing Robots That Are Capable of Safely Assisting Humans in Real-World Unstructured Environments

Soft Robotics and Applications

Model Reduction and Neural Networks

Modular Robots and Swarm Intelligence

+2

R

Raymond A. Adomaitis

Professor

Department of Chemical and Biomolecular Engineering

University of Maryland, College Park

Catalytic Processes in Materials Science

Electronic and Structural Properties of Oxides

Model Reduction and Neural Networks

Semiconductor Materials and Devices

+1

D

Associate Professor

Department of Mechanical Engineering

University of Maryland, Baltimore County

Biological Flow

Computational Fluid Dynamics

Flapping Wing Aerodynamics

Fluid-Structure Interaction

+14

S

Research Professor; Technical Associate Director, NCSA

Department of Mechanical Science and Engineering

University of Illinois Urbana-Champaign

Aluminum Alloy Microstructure Properties

Machine Learning in Materials Science

Metallurgical Processes and Thermodynamics

Model Reduction and Neural Networks

+1

C

C. Ricardo Constante-Amores

he/him/his Assistant Professor

Department of Mechanical Science and Engineering

University of Illinois Urbana-Champaign

Fluid Dynamics and Heat Transfer

Fluid Dynamics and Thin Films

Fluid Dynamics and Turbulent Flows

Model Reduction and Neural Networks

+1

M

Assistant Professor of Mechanical & Aerospace Engineering

Department of Mechanical and Aerospace Engineering

University of Houston

Computational Fluid Dynamics

Direct Numerical Simulation of Turbulent Flows

High-Performance Scientific Computing

+8

R

Assistant Professor

Department of Mechanical and Aerospace Engineering

University of Central Florida

Generative Adversarial Networks and Image Synthesis

Machine Learning in Materials Science

Model Reduction and Neural Networks

Stochastic Gradient Optimization Techniques

E

Associate Professor

Department of Mechanical Engineering

University of California, Santa Barbara

Bacterial Genetics and Biotechnology

Gene Regulatory Network Analysis

Microbial Metabolic Engineering and Bioproduction

Model Reduction and Neural Networks

+1

I

Distinguished Professor

Department of Mechanical Engineering

University of California, Santa Barbara

Fluid Dynamics and Turbulent Flows

Model Reduction and Neural Networks

Nonlinear Dynamics and Pattern Formation

Probabilistic and Robust Engineering Design

+1

F

Frédéric Gibou

Professor

Department of Mechanical Engineering

University of California, Santa Barbara

Advanced Mathematical Modeling in Engineering

Advanced Numerical Methods in Computational Mathematics

Lattice Boltzmann Simulation Studies

Model Reduction and Neural Networks

+1

F

Francesco Bullo

Distinguished Professor

Department of Mechanical Engineering

University of California, Santa Barbara

Advanced Memory and Neural Computing

Control and Stability of Dynamical Systems

Model Reduction and Neural Networks

Neural Networks and Reservoir Computing

+1

O

Associate Professor

Department of Mechanical and Aerospace Engineering

University of California San Diego

Building Energy and Comfort Optimization

Infection Control and Ventilation

Model Reduction and Neural Networks

Satellite Communication Systems

+1

B

Associate Professor

Department of Mechanical and Aerospace Engineering

University of California San Diego

Model Reduction and Neural Networks

Nuclear Reactor Physics and Engineering

Numerical Methods for Differential Equations

Probabilistic and Robust Engineering Design

+1

R

Ramin Bostanabad, Ph.D.

Associate Professor of Mechanical and Aerospace Engineering

Department of Mechanical and Aerospace Engineering

University of California, Irvine

Computational Microstructure Characterization

Design Under Uncertainty

Materials Informatics

Probabilistic Machine Learning

+6

T

Thomas Schutzius

Core Faculty

Department of Mechanical Engineering

University of California, Berkeley

Advanced Multi-Objective Optimization Algorithms

Geothermal Energy Systems and Applications

Model Reduction and Neural Networks

Surface Modification and Superhydrophobicity

+1

Y

Department of Chemical and Biological Engineering

University of British Columbia

Large-Scale Optimization

Machine Learning

Process Control

+5

M

Merjulah Roby, Ph.D.

Assistant Professor of Research

Department of Mechanical, Aerospace, and Industrial Engineering

The University of Texas at San Antonio

Aortic Aneurysm Repair Treatments

Coronary Interventions and Diagnostics

Ethics and Social Impacts of AI

Explainable Artificial Intelligence (xai)

+1

D

Dorrin Jarrahbashi

Associate Professor, Mechanical Engineering

J. Mike Walker '66 Department of Mechanical Engineering

Texas A&M University

Advanced Combustion Engine Technologies

Combustion and Flame Dynamics

Model Reduction and Neural Networks

D

Dr. Prashant Jha

Assistant Professor

Department of Mechanical Engineering

South Dakota School of Mines and Technology

Electromagnetic Simulation and Numerical Methods

Geotechnical Engineering and Underground Structures

Model Reduction and Neural Networks

Numerical Methods in Engineering

+1

N

Nikolaos Napoleon Vlassis

Assistant Professor

Department of Mechanical and Aerospace Engineering

Rutgers, The State University of New Jersey

Composite Material Mechanics

Machine Learning in Materials Science

Model Reduction and Neural Networks

Probabilistic and Robust Engineering Design

+1

Q

Assistant Professor, Mechanical Engineering

Department of Mechanical Engineering

Rochester Institute of Technology

Fluid Dynamics and Vibration Analysis

Model Reduction and Neural Networks

Neural Networks and Applications

Probabilistic and Robust Engineering Design

+1

H

Professor

Department of Mechanical, Aerospace, and Nuclear Engineering

Rensselaer Polytechnic Institute

Emergency Operation

Nuclear Plant Hybrid & Flexible Operation Simulations

Nuclear Plant Safety

Risk Assessment

+5

...