Search Results for author: Faez Ahmed

Found 16 papers, 8 papers with code

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

no code implementations6 May 2022 Lyle Regenwetter, Faez Ahmed

Deep Generative Machine Learning Models have been growing in popularity across the design community thanks to their ability to learn and mimic complex data distributions.


FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames

no code implementations25 Jan 2022 Lyle Regenwetter, Colin Weaver, Faez Ahmed

By exploring a diverse design space of frame design parameters and a set of ten competing design objectives, we present an automated way to analyze the structural performance of bicycle frames.


Deep Generative Models in Engineering Design: A Review

no code implementations21 Oct 2021 Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed

We present a review and analysis of Deep Generative Machine Learning models in engineering design.

Design Synthesis

PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design

1 code implementation7 Jun 2021 Amin Heyrani Nobari, Wei Chen, Faez Ahmed

Engineering design tasks often require synthesizing new designs that meet desired performance requirements.

Design Synthesis Point Processes

A Graph Neural Network Approach for Product Relationship Prediction

no code implementations12 May 2021 Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

By representing products as nodes and their relationships as edges of a graph, we show how an inductive graph neural network approach, named GraphSAGE, can efficiently learn continuous representations for nodes and edges.

Drug Discovery Image Classification +2

BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks

1 code implementation10 Mar 2021 Lyle Regenwetter, Brent Curry, Faez Ahmed

In this paper, we present "BIKED," a dataset comprised of 4500 individually designed bicycle models sourced from hundreds of designers.

Design Synthesis Dimensionality Reduction +2

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

1 code implementation10 Mar 2021 Amin Heyrani Nobari, Wei Chen, Faez Ahmed

This work laid the foundation for data-driven inverse design problems where we consider range constraints and there are sparse regions in the condition space.

3D Shape Generation Design Synthesis

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

1 code implementation10 Mar 2021 Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed

GAN models, however, are not capable of generating unique designs, a key to innovation and a major gap in AI-based design automation applications.

Design Synthesis

MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization

1 code implementation15 Sep 2020 Wei Chen, Faez Ahmed

Despite their success in capturing complex distributions, existing generative models face three challenges when used for design problems: 1) generated designs have limited design space coverage, 2) the generator ignores design performance, and 3)~the new parameterization is unable to represent designs beyond training data.

Point Processes

MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement

no code implementations7 Jul 2020 Wei Chen, Faez Ahmed

Deep generative models have proven useful for automatic design synthesis and design space exploration.

Design Synthesis Point Processes

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

no code implementations27 Jun 2020 Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen

For microstructure design, the tuning of mechanical properties and complex manipulations of microstructures are easily achieved by simple vector operations in the latent space.

METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design

1 code implementation1 Jun 2020 Yu-Chin Chan, Faez Ahmed, Li-Wei Wang, Wei Chen

In answer, we posit that a smaller yet diverse set of unit cells leads to scalable search and unbiased learning.

Physical Simulations Point Processes

PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs

1 code implementation26 Feb 2020 Wei Chen, Faez Ahmed

With this new loss function, we develop a variant of the Generative Adversarial Network, named "Performance Augmented Diverse Generative Adversarial Network" or PaDGAN, which can generate novel high-quality designs with good coverage of the design space.

Design Synthesis Point Processes

Forming Diverse Teams from Sequentially Arriving People

no code implementations25 Feb 2020 Faez Ahmed, John Dickerson, Mark Fuge

Our method has applications in collaborative work ranging from team formation, the assignment of workers to teams in crowdsourcing, and reviewer allocation to journal papers arriving sequentially.

An Algorithm for Multi-Attribute Diverse Matching

no code implementations7 Sep 2019 Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller

Bipartite b-matching, where agents on one side of a market are matched to one or more agents or items on the other, is a classical model that is used in myriad application areas such as healthcare, advertising, education, and general resource allocation.

Diverse Weighted Bipartite b-Matching

1 code implementation23 Feb 2017 Faez Ahmed, John P. Dickerson, Mark Fuge

Bipartite matching, where agents on one side of a market are matched to agents or items on the other, is a classical problem in computer science and economics, with widespread application in healthcare, education, advertising, and general resource allocation.


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