Mark Fuge

Mark Fuge

University of Maryland

H-index: 23

North America-United States

About Mark Fuge

Mark Fuge, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Product Design, Machine Learning, Statistics, Design Creativity, Computational Design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Characterizing Designs via Isometric Embeddings: Applications to Airfoil Inverse Design

Compressing Latent Space via Least Volume

Patient Specific Tissue Engineered Vascular Graft For Aortic Arch Reconstruction:(Patient specific aortic Tissue Engineered Vascular Graft)

Fabrication of Multilumen Microfluidic Tubing for Ex Situ Direct Laser Writing

A 3D-Microprinted Coaxial Nozzle for Fabricating Long, Flexible Microfluidic Tubing

Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design

Training Efficiency Gains in Data-Driven 2D Airfoil Inverse Design using Active Learning

Optimizing Diffusion to Diffuse Optimal Designs

Mark Fuge Information

University

Position

___

Citations(all)

2071

Citations(since 2020)

1814

Cited By

854

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

36

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Mark Fuge Skills & Research Interests

Product Design

Machine Learning

Statistics

Design Creativity

Computational Design

Top articles of Mark Fuge

Characterizing Designs via Isometric Embeddings: Applications to Airfoil Inverse Design

Journal of Mechanical Design

2024/5/1

Mark Fuge
Mark Fuge

H-Index: 15

Compressing Latent Space via Least Volume

arXiv preprint arXiv:2404.17773

2024/4/27

Mark Fuge
Mark Fuge

H-Index: 15

Patient Specific Tissue Engineered Vascular Graft For Aortic Arch Reconstruction:(Patient specific aortic Tissue Engineered Vascular Graft)

JTCVS Open

2024/2/27

Fabrication of Multilumen Microfluidic Tubing for Ex Situ Direct Laser Writing

Proceedings. IEEE International Conference on Micro Electro Mechanical Systems

2024/1/21

A 3D-Microprinted Coaxial Nozzle for Fabricating Long, Flexible Microfluidic Tubing

2024/1/21

Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design

arXiv preprint arXiv:2401.11022

2024/1/19

Joel Chan
Joel Chan

H-Index: 19

Mark Fuge
Mark Fuge

H-Index: 15

Training Efficiency Gains in Data-Driven 2D Airfoil Inverse Design using Active Learning

2024

Jun Wang
Jun Wang

H-Index: 10

Mark Fuge
Mark Fuge

H-Index: 15

Optimizing Diffusion to Diffuse Optimal Designs

2024

Mark Fuge
Mark Fuge

H-Index: 15

Methods, systems and related aspects for optimization and planning of cardiac surgery

2023/5/25

Machine learning for shock compression of solids using scarce data

Journal of Applied Physics

2023/4/21

How Diverse Initial Samples Help and Hurt Bayesian Optimizers

ASME Journal of Mechanical Design (JMD)

2023/5

Fewer Triplets Than You Think: Novelty Error Converges Faster Than Triplet Violations in Ordinal Embeddings

2023/8/20

Mark Fuge
Mark Fuge

H-Index: 15

When Is it Actually Worth Learning Inverse Design?

2023/8/20

A Machine Learning Framework to Predict Unreacted Shock Compression Response of Solids Under Scarce Data

Bulletin of the American Physical Society

2023/6/23

Effect of optimal geometries and performance parameters on airfoil latent space dimension

2022/8/14

Mark Fuge
Mark Fuge

H-Index: 15

Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods

2022/8/14

Jun Wang
Jun Wang

H-Index: 10

Mark Fuge
Mark Fuge

H-Index: 15

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora

arXiv preprint arXiv:2206.00773

2022/6/1

IH-GAN: A conditional generative model for implicit surface-based inverse design of cellular structures

Computer Methods in Applied Mechanics and Engineering

2022/6/1

Surgical planning and optimization of patient-specific Fontan grafts with Uncertain post-operative boundary conditions and anastomosis displacement

IEEE Transactions on Biomedical Engineering

2022/4/27

Inverse design of two-dimensional airfoils using conditional generative models and surrogate log-likelihoods

Journal of Mechanical Design

2022/2/1

See List of Professors in Mark Fuge University(University of Maryland)

Co-Authors

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