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ORCIDFaez Ahmed
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2020 – today
- 2024
[j9]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)- [i54]Cyril Picard, Faez Ahmed:
Fast and Accurate Zero-Training Classification for Tabular Engineering Data. CoRR abs/2401.06948 (2024) - [i53]Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed:
NITO: Neural Implicit Fields for Resolution-free Topology Optimization. CoRR abs/2402.05073 (2024) - [i52]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 abs/2402.05301 (2024) - [i51]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 abs/2402.12702 (2024) - [i50]Mohamed Elrefaie, Angela Dai, Faez Ahmed:
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction. CoRR abs/2403.08055 (2024) - [i49]Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed:
Cooling-Guide Diffusion Model for Battery Cell Arrangement. CoRR abs/2403.10566 (2024) - [i48]Rosen Yu, Cyril Picard, Faez Ahmed:
Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems. CoRR abs/2404.04495 (2024) - [i47]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 abs/2404.07917 (2024) - [i46]Kristen M. Edwards, Brandon Man, Faez Ahmed:
Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI. CoRR abs/2405.12985 (2024) - [i45]Ismail Nejjar, Faez Ahmed, Olga Fink:
IM-Context: In-Context Learning for Imbalanced Regression Tasks. CoRR abs/2405.18202 (2024) - [i44]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 abs/2405.20592 (2024) - [i43]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 abs/2406.09624 (2024) - [i42]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 abs/2406.11934 (2024) - [i41]Noah J. Bagazinski, Faez Ahmed:
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design. CoRR abs/2407.03333 (2024) - [i40]Leah Chong, Jude Rayan, Steven Dow, Ioanna Lykourentzou, Faez Ahmed:
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs. CoRR abs/2407.08675 (2024) - [i39]Leah Chong, I-Ping Lo, Jude Rayan, Steven Dow, Faez Ahmed, Ioanna Lykourentzou:
Prompting for products: Investigating design space exploration strategies for text-to-image generative models. CoRR abs/2408.03946 (2024) - [i38]Md Ferdous Alam, Faez Ahmed:
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors. CoRR abs/2409.16294 (2024) - [i37]Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas:
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR abs/2410.08207 (2024) - 2023
- [j8]Lyle Regenwetter, Colin Weaver, Faez Ahmed:
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames. Comput. Aided Des. 156: 103446 (2023) - [j7]Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed:
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. Comput. Aided Des. 165: 103609 (2023) - [c11]François Mazé, Faez Ahmed:
Diffusion Models Beat GANs on Topology Optimization. AAAI 2023: 9108-9116 - [c10]Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed:
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. NeurIPS 2023 - [i36]Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed:
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. CoRR abs/2302.02913 (2023) - [i35]Binyang Song, Rui Zhou, Faez Ahmed:
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions. CoRR abs/2302.10909 (2023) - [i34]Giorgio Giannone, Faez Ahmed:
Diffusing the Optimal Topology: A Generative Optimization Approach. CoRR abs/2303.09760 (2023) - [i33]Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed:
ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. CoRR abs/2305.01145 (2023) - [i32]Noah J. Bagazinski, Faez Ahmed:
Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning. CoRR abs/2305.08279 (2023) - [i31]Cyril Picard, Jürg Schiffmann, Faez Ahmed:
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications. CoRR abs/2305.09018 (2023) - [i30]Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed:
Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations. CoRR abs/2305.11308 (2023) - [i29]Hanqi Su, Binyang Song, Faez Ahmed:
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data. CoRR abs/2305.15218 (2023) - [i28]Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed:
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. CoRR abs/2305.18470 (2023) - [i27]Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Aréchiga, Faez Ahmed:
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings. CoRR abs/2306.06110 (2023) - [i26]Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed:
Learning from Invalid Data: On Constraint Satisfaction in Generative Models. CoRR abs/2306.15166 (2023) - [i25]Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed:
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks. CoRR abs/2308.07358 (2023) - [i24]Noah J. Bagazinski, Faez Ahmed:
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints. CoRR abs/2311.06315 (2023) - [i23]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 abs/2311.12668 (2023) - 2022
- [j6]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: 9417869:1-9417869:16 (2022) - [i22]Lyle Regenwetter, Colin Weaver, Faez Ahmed:
FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames. CoRR abs/2201.10459 (2022) - [i21]Lyle Regenwetter, Faez Ahmed:
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design. CoRR abs/2205.03005 (2022) - [i20]Lyle Regenwetter, Faez Ahmed:
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design. CoRR abs/2206.07170 (2022) - [i19]François Mazé, Faez Ahmed:
TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization. CoRR abs/2208.09591 (2022) - [i18]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 abs/2208.14567 (2022) - 2021
- [j5]Wei Chen, Faez Ahmed:
MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization. Appl. Soft Comput. 113(Part): 107909 (2021) - [c9]Amin Heyrani Nobari, Wei Chen, Faez Ahmed:
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. KDD 2021: 606-616 - [i17]Ioanna Lykourentzou, Federica Lucia Vinella, Faez Ahmed, Costas Papastathis, Konstantinos Papangelis, Vassilis-Javed Khan, Judith Masthoff:
Self-Organizing Teams in Online Work Settings. CoRR abs/2102.07421 (2021) - [i16]Lyle Regenwetter, Brent Curry, Faez Ahmed:
BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design. CoRR abs/2103.05844 (2021) - [i15]Amin Heyrani Nobari, Wei Chen, Faez Ahmed:
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis. CoRR abs/2103.06230 (2021) - [i14]Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed:
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis. CoRR abs/2103.06242 (2021) - [i13]Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen:
A Graph Neural Network Approach for Product Relationship Prediction. CoRR abs/2105.05881 (2021) - [i12]Amin Heyrani Nobari, Wei Chen, Faez Ahmed:
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. CoRR abs/2106.03620 (2021) - [i11]Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed:
Deep Generative Models in Engineering Design: A Review. CoRR abs/2110.10863 (2021) - 2020
- [c8]Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
An Algorithm for Multi-Attribute Diverse Matching. IJCAI 2020: 3-9 - [i10]Faez Ahmed, John Dickerson, Mark D. Fuge:
Forming Diverse Teams from Sequentially Arriving People. CoRR abs/2002.10697 (2020) - [i9]Wei Chen, Faez Ahmed:
PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs. CoRR abs/2002.11304 (2020) - [i8]Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen:
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. CoRR abs/2006.02142 (2020) - [i7]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 abs/2006.15274 (2020) - [i6]Wei Chen, Faez Ahmed:
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. CoRR abs/2007.04790 (2020) - [i5]Wei Chen, Faez Ahmed:
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. CoRR abs/2009.07110 (2020)
2010 – 2019
- 2019
- [b1]Faez Ahmed:
Diversity and Novelty: Measurement, Learning and Optimization. University of Maryland, College Park, MD, USA, 2019 - [c7]Faez Ahmed, Nischal Reddy Chandra, Mark D. Fuge, Steven Dow:
Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence. Creativity & Cognition 2019: 306-318 - [i4]Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller:
Algorithms for Optimal Diverse Matching. CoRR abs/1909.03350 (2019) - 2018
- [j4]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): 115:1-115:23 (2018) - [i3]Faez Ahmed, Mark D. Fuge:
Creative Exploration Using Topic Based Bisociative Networks. CoRR abs/1801.10084 (2018) - 2017
- [c6]Faez Ahmed, Mark D. Fuge:
Capturing Winning Ideas in Online Design Communities. CSCW 2017: 1675-1687 - [c5]Faez Ahmed, John P. Dickerson, Mark D. Fuge:
Diverse Weighted Bipartite b-Matching. IJCAI 2017: 35-41 - [i2]Faez Ahmed, John P. Dickerson, Mark D. Fuge:
Diverse Weighted Bipartite b-Matching. CoRR abs/1702.07134 (2017) - [i1]Faez Ahmed, Mark D. Fuge:
Ranking ideas for diversity and quality. CoRR abs/1709.02063 (2017) - 2016
- [j3]Faez Ahmed, Kalyanmoy Deb, Bishakh Bhattacharya:
Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation. Appl. Soft Comput. 39: 240-250 (2016) - 2013
- [j2]Faez Ahmed, Kalyanmoy Deb, Abhilash Jindal:
Multi-objective optimization and decision making approaches to cricket team selection. Appl. Soft Comput. 13(1): 402-414 (2013) - [j1]Faez Ahmed, Kalyanmoy Deb:
Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput. 17(7): 1283-1299 (2013) - 2012
- [c4]Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb:
Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm. BIC-TA (1) 2012: 227-238 - 2011
- [c3]Faez Ahmed, Kalyanmoy Deb:
Multi-objective path planning using spline representation. ROBIO 2011: 1047-1052 - [c2]Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb:
Cricket Team Selection Using Evolutionary Multi-objective Optimization. SEMCCO (2) 2011: 71-78 - [c1]Faez Ahmed, David Purdy:
Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms. SocProS (2) 2011: 865-876
Coauthor Index
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last updated on 2024-11-20 22:00 CET by the dblp team
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