Faez Ahmed

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 65

Top Topics

Diffusion Model

Future Directions

Top Venues

Comput. Aided Des.

Appl. Soft Comput.

Publications

Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed
Cooling-Guide Diffusion Model for Battery Cell Arrangement. CoRR (2024)
Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation. CoRR (2024)
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. CoRR (2024)
Binyang Song, Rui Zhou, Faez Ahmed
Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions. J. Comput. Inf. Sci. Eng. 24 (1) (2024)
Rui Zhou, Chenyang Yuan, Frank Permenter, Yanxia Zhang, Nikos Aréchiga, Matt Klenk, Faez Ahmed
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models. CoRR (2024)
Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari, Faez Ahmed
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs. CoRR (2024)
Leah Chong, Jude Rayan, Steven Dow, Ioanna Lykourentzou, Faez Ahmed
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs. CoRR (2024)
Rosen Yu, Cyril Picard, Faez Ahmed
Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems. CoRR (2024)
Ismail Nejjar, Faez Ahmed, Olga Fink
IM-Context: In-Context Learning for Imbalanced Regression Tasks. CoRR (2024)
Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks. CoRR (2024)
Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges. CoRR (2024)
Cyril Picard, Faez Ahmed
Fast and Accurate Zero-Training Classification for Tabular Engineering Data. CoRR (2024)
Kristen M. Edwards, Brandon Man, Faez Ahmed
Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI. CoRR (2024)
Mohamed Elrefaie, Angela Dai, Faez Ahmed
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction. CoRR (2024)
Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed
NITO: Neural Implicit Fields for Resolution-free Topology Optimization. CoRR (2024)
Noah J. Bagazinski, Faez Ahmed
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design. CoRR (2024)
Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations. CoRR (2023)
Cyril Picard, Kristen M. Edwards, Anna C. Doris, Brandon Man, Giorgio Giannone, Md Ferdous Alam, Faez Ahmed
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design. CoRR (2023)
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. CoRR (2023)
Binyang Song, Rui Zhou, Faez Ahmed
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions. CoRR (2023)
Cyril Picard, Jürg Schiffmann, Faez Ahmed
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications. CoRR (2023)
Giorgio Giannone, Faez Ahmed
Diffusing the Optimal Topology: A Generative Optimization Approach. CoRR (2023)
Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed
ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. CoRR (2023)
Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Aréchiga, Faez Ahmed
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings. CoRR (2023)
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. Comput. Aided Des. 165 (2023)
Hanqi Su, Binyang Song, Faez Ahmed
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data. CoRR (2023)
Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks. CoRR (2023)
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. NeurIPS (2023)
Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. CoRR (2023)
Noah J. Bagazinski, Faez Ahmed
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints. CoRR (2023)
François Mazé, Faez Ahmed
Diffusion Models Beat GANs on Topology Optimization. AAAI (2023)
Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Learning from Invalid Data: On Constraint Satisfaction in Generative Models. CoRR (2023)
Lyle Regenwetter, Colin Weaver, Faez Ahmed
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames. Comput. Aided Des. 156 (2023)
Noah J. Bagazinski, Faez Ahmed
Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning. CoRR (2023)
Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design. CoRR (2022)
Lyle Regenwetter, Colin Weaver, Faez Ahmed
FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames. CoRR (2022)
Lyle Regenwetter, Faez Ahmed
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design. CoRR (2022)
Lyle Regenwetter, Faez Ahmed
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design. CoRR (2022)
François Mazé, Faez Ahmed
TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization. CoRR (2022)
Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor, Wei Chen
A Weighted Statistical Network Modeling Approach to Product Competition Analysis. Complex. 2022 (2022)
Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen
A Graph Neural Network Approach for Product Relationship Prediction. CoRR (2021)
Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
Deep Generative Models in Engineering Design: A Review. CoRR (2021)
Wei Chen, Faez Ahmed
MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization. Appl. Soft Comput. 113 (Part) (2021)
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. KDD (2021)
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis. CoRR (2021)
Lyle Regenwetter, Brent Curry, Faez Ahmed
BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design. CoRR (2021)
Ioanna Lykourentzou, Federica Lucia Vinella, Faez Ahmed, Costas Papastathis, Konstantinos Papangelis, Vassilis-Javed Khan, Judith Masthoff
Self-Organizing Teams in Online Work Settings. CoRR (2021)
Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis. CoRR (2021)
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. CoRR (2021)
Faez Ahmed, John Dickerson, Mark D. Fuge
Forming Diverse Teams from Sequentially Arriving People. CoRR (2020)
Wei Chen, Faez Ahmed
PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs. CoRR (2020)
Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. CoRR (2020)
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
An Algorithm for Multi-Attribute Diverse Matching. IJCAI (2020)
Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems. CoRR (2020)
Wei Chen, Faez Ahmed
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. CoRR (2020)
Wei Chen, Faez Ahmed
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. CoRR (2020)
Faez Ahmed, Nischal Reddy Chandra, Mark D. Fuge, Steven Dow
Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence. Creativity & Cognition (2019)
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
Algorithms for Optimal Diverse Matching. CoRR (2019)
Faez Ahmed, Mark D. Fuge
Creative Exploration Using Topic Based Bisociative Networks. CoRR (2018)
Ioanna Lykourentzou, Faez Ahmed, Costas Papastathis, Irwyn Sadien, Konstantinos Papangelis
When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Faez Ahmed, Mark D. Fuge
Capturing Winning Ideas in Online Design Communities. CSCW (2017)
Faez Ahmed, John P. Dickerson, Mark D. Fuge
Diverse Weighted Bipartite b-Matching. CoRR (2017)
Faez Ahmed, Mark D. Fuge
Ranking ideas for diversity and quality. CoRR (2017)
Faez Ahmed, John P. Dickerson, Mark D. Fuge
Diverse Weighted Bipartite b-Matching. IJCAI (2017)
Faez Ahmed, Kalyanmoy Deb, Bishakh Bhattacharya
Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation. Appl. Soft Comput. 39 (2016)
Faez Ahmed, Kalyanmoy Deb, Abhilash Jindal
Multi-objective optimization and decision making approaches to cricket team selection. Appl. Soft Comput. 13 (1) (2013)
Faez Ahmed, Kalyanmoy Deb
Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput. 17 (7) (2013)
Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb
Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm. BIC-TA (1) (2012)
Faez Ahmed, David Purdy
Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms. SocProS (2) (2011)
Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb
Cricket Team Selection Using Evolutionary Multi-objective Optimization. SEMCCO (2) (2011)
Faez Ahmed, Kalyanmoy Deb
Multi-objective path planning using spline representation. ROBIO (2011)