Faez Ahmed - RankMe

116 papers A* 6A 1B 1Journal 102Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-Guided Human-In-the-Loop Inverse Design of High Performance Engineering Structures. CoRR Dat Quoc Ha, Md Ferdous Alam, Markus J. Buehler, Faez Ahmed, Josephine V. Carstensen
2026	J	`jnl`	Engineering Regression Without Real-Data Training: Domain Adaptation for Tabular Foundation Models Using Multi-Dataset Embeddings. CoRR Lyle Regenwetter, Rosen Yu, Cyril Picard, Faez Ahmed
2026	J	`jnl`	FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models. CoRR Rosen Ting-Ying Yu, Nicholas Sung, Faez Ahmed
2026	J	`jnl`	FLOAT: Fatigue-Aware Design Optimization of Floating Offshore Wind Turbine Towers. CoRR João Alves Ribeiro, Francisco Pimenta, Bruno Alves Ribeiro, Sérgio M. O. Tavares, Faez Ahmed
2026	J	`jnl`	GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback. CoRR Giorgio Giannone, Anna C. Doris, Amin Heyrani Nobari, Kai Xu, Akash Srivastava, Faez Ahmed
2026	J	`jnl`	TabPFN for Zero-shot Parametric Engineering Design Generation. CoRR Ke Wang, Yifan Tang, Nguyen Gia Hien Vu, Faez Ahmed, G. Gary Wang
2026	J	`jnl`	TopoCtrl: Post-Optimization Topology Editing Toward Target Structural Characteristics. CoRR Hongrui Chen, Dat Quoc Ha, Josephine V. Carstensen, Faez Ahmed
2026	J	`jnl`	TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures. CoRR Hongrui Chen, Josephine V. Carstensen, Faez Ahmed
2025	J	`jnl`	AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design. CoRR Mohamed Elrefaie, Janet Qian, Raina Wu, Qian Chen, Angela Dai, Faez Ahmed
2025	J	`jnl`	AI Judges in Design: Statistical Perspectives on Achieving Human Expert Equivalence With Vision-Language Models. CoRR Kristen M. Edwards, Farnaz Tehranchi, Scarlett R. Miller, Faez Ahmed
2025	J	`jnl`	Activation-Informed Merging of Large Language Models. CoRR Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli, Akash Srivastava, Faez Ahmed, Navid Azizan
2025	J	`jnl`	Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints. CoRR Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti, Ioanna Lykourentzou, Faez Ahmed
2025	J	`jnl`	BlendedNet++: A Large-Scale Blended Wing Body Aerodynamics Dataset and Benchmark. CoRR Nicholas Sung, Steven Spreizer, Mohamed Elrefaie, Matthew C. Jones, Faez Ahmed
2025	J	`jnl`	BlendedNet: A Blended Wing Body Aircraft Dataset and Surrogate Model for Aerodynamic Predictions. CoRR Nicholas Sung, Steven Spreizer, Mohamed Elrefaie, Kaira M. Samuel, Matthew C. Jones, Faez Ahmed
2025	J	`jnl`	CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation. CoRR Anna C. Doris, Md Ferdous Alam, Amin Heyrani Nobari, Faez Ahmed
2025	J	`jnl`	CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics. CoRR Mohamed Elrefaie, Dule Shu, Matt Klenk, Faez Ahmed
2025	J	`jnl`	Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study. CoRR Kaira M. Samuel, Faez Ahmed
2025	J	`jnl`	Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study. J. Comput. Inf. Sci. Eng. Kaira M. Samuel, Faez Ahmed
2025	J	`jnl`	DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation. J. Comput. Inf. Sci. Eng. Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
2025	J	`jnl`	Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing. CoRR Quan Dao, Xiaoxiao He, Ligong Han, Ngan Hoai Nguyen, Amin Heyrani Nobari, Faez Ahmed, Han Zhang, Viet Anh Nguyen, Dimitris N. Metaxas
2025	J	`jnl`	From concept to manufacturing: evaluating vision-language models for engineering design. Artif. Intell. Rev. Cyril Picard, Kristen M. Edwards, Anna C. Doris, Brandon Man, Giorgio Giannone, Md Ferdous Alam, Faez Ahmed
2025	J	`jnl`	GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models. CoRR Rosen Ting-Ying Yu, Cyril Picard, Faez Ahmed
2025	J	`jnl`	GenCAD-3D: CAD Program Generation using Multimodal Latent Space Alignment and Synthetic Dataset Balancing. CoRR Nomi Yu, Md Ferdous Alam, A. John Hart, Faez Ahmed
2025	J	`jnl`	GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors. Trans. Mach. Learn. Res. Md Ferdous Alam, Faez Ahmed
2025	J	`jnl`	LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation. CoRR Ghadi Nehme, Yanxia Zhang, Dule Shu, Matt Klenk, Faez Ahmed
2025	J	`jnl`	MicroLad: 2D-to-3D Microstructure Reconstruction and Generation via Latent Diffusion and Score Distillation. CoRR Kang-Hyun Lee, Faez Ahmed
2025	J	`jnl`	NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization. Trans. Mach. Learn. Res. Amin Heyrani Nobari, Lyle Regenwetter, Giorgio Giannone, Faez Ahmed
2025	J	`jnl`	Offshore Wind Turbine Tower Design and Optimization: A Review and AI-Driven Future Directions. CoRR João Alves Ribeiro, Bruno Alves Ribeiro, Francisco Pimenta, Sérgio M. O. Tavares, Jie Zhang, Faez Ahmed
2025	J	`jnl`	Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization. CoRR Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard, Ligong Han, Faez Ahmed
2025	J	`jnl`	PGD-TO: A Scalable Alternative to MMA Using Projected Gradient Descent for Multi-Constraint Topology Optimization. CoRR Amin Heyrani Nobari, Faez Ahmed
2025	J	`jnl`	Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language Models. CoRR Alexander Htet Kyaw, Richa Gupta, Dhruv Shah, Anoop Sinha, Kory Mathewson, Stefanie Pender, Sachin Chitta, Yotto Koga, Faez Ahmed, Lawrence Sass, Randall Davis
2025	J	`jnl`	TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks. CoRR Qian Chen, Mohamed Elrefaie, Angela Dai, Faez Ahmed
2025	J	`jnl`	TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks. CoRR Parsa Vatani, Mohamed Elrefaie, Farhad Nazarpour, Faez Ahmed
2025	J	`jnl`	VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD Software. CoRR Brandon Man, Ghadi Nehme, Md Ferdous Alam, Faez Ahmed
2024	J	`jnl`	BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs. CoRR Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari, Faez Ahmed
2024	J	`jnl`	Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models. CoRR Rui Zhou, Chenyang Yuan, Frank Permenter, Yanxia Zhang, Nikos Aréchiga, Matthew Klenk, Faez Ahmed
2024	J	`jnl`	C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design. CoRR Noah J. Bagazinski, Faez Ahmed
2024	J	`jnl`	CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs. CoRR Leah Chong, Jude Rayan, Steven Dow, Ioanna Lykourentzou, Faez Ahmed
2024	J	`jnl`	Constraining Generative Models for Engineering Design with Negative Data. Trans. Mach. Learn. Res. Lyle Regenwetter, Giorgio Giannone, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2024	J	`jnl`	Cooling-Guide Diffusion Model for Battery Cell Arrangement. CoRR Nicholas Sung, Liu Zheng, Pingfeng Wang, Faez Ahmed
2024	J	`jnl`	DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR 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
2024	J	`jnl`	DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation. CoRR Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
2024	A*	`conf`	DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks. NeurIPS Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed
2024	J	`jnl`	DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks. CoRR Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed
2024	J	`jnl`	DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction. CoRR Mohamed Elrefaie, Angela Dai, Faez Ahmed
2024	J	`jnl`	Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems. CoRR Rosen Yu, Cyril Picard, Faez Ahmed
2024	J	`jnl`	Fast and Accurate Zero-Training Classification for Tabular Engineering Data. CoRR Cyril Picard, Faez Ahmed
2024	J	`jnl`	From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges. CoRR Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava
2024	—	`conf`	From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction. DDDAS/Infosymbiotics Lyle Regenwetter, Faez Ahmed
2024	J	`jnl`	GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors. CoRR Md Ferdous Alam, Faez Ahmed
2024	J	`jnl`	Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering. CoRR Cyril Picard, Lyle Regenwetter, Amin Heyrani Nobari, Akash Srivastava, Faez Ahmed
2024	J	`jnl`	IM-Context: In-Context Learning for Imbalanced Regression Tasks. CoRR Ismail Nejjar, Faez Ahmed, Olga Fink
2024	J	`jnl`	IM-Context: In-Context Learning for Imbalanced Regression Tasks. Trans. Mach. Learn. Res. Ismail Nejjar, Faez Ahmed, Olga Fink
2024	J	`jnl`	LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. CoRR Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024	J	`jnl`	LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. Trans. Mach. Learn. Res. Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024	J	`jnl`	Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions. J. Comput. Inf. Sci. Eng. Binyang Song, Rui Zhou, Faez Ahmed
2024	J	`jnl`	NITO: Neural Implicit Fields for Resolution-free Topology Optimization. CoRR Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed
2024	J	`jnl`	Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis. CoRR Rui Zhou, Yanxia Zhang, Chenyang Yuan, Frank Permenter, Nikos Aréchiga, Matt Klenk, Faez Ahmed
2024	J	`jnl`	Prompting for products: Investigating design space exploration strategies for text-to-image generative models. CoRR Leah Chong, I-Ping Lo, Jude Rayan, Steven Dow, Faez Ahmed, Ioanna Lykourentzou
2024	J	`jnl`	Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI. CoRR Kristen M. Edwards, Brandon Man, Faez Ahmed
2023	J	`jnl`	ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. CoRR Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed
2023	A*	`conf`	Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. NeurIPS Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
2023	J	`jnl`	Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. CoRR Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
2023	J	`jnl`	Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. Comput. Aided Des. Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023	J	`jnl`	Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design. CoRR Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023	J	`jnl`	Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks. CoRR Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed
2023	J	`jnl`	Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations. CoRR Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
2023	J	`jnl`	DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications. CoRR Cyril Picard, Jürg Schiffmann, Faez Ahmed
2023	J	`jnl`	Diffusing the Optimal Topology: A Generative Optimization Approach. CoRR Giorgio Giannone, Faez Ahmed
2023	A*	`conf`	Diffusion Models Beat GANs on Topology Optimization. AAAI François Mazé, Faez Ahmed
2023	J	`jnl`	FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames. Comput. Aided Des. Lyle Regenwetter, Colin Weaver, Faez Ahmed
2023	J	`jnl`	From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design. CoRR Cyril Picard, Kristen M. Edwards, Anna C. Doris, Brandon Man, Giorgio Giannone, Md Ferdous Alam, Faez Ahmed
2023	J	`jnl`	Learning from Invalid Data: On Constraint Satisfaction in Generative Models. CoRR Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2023	J	`jnl`	Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data. CoRR Hanqi Su, Binyang Song, Faez Ahmed
2023	J	`jnl`	Multi-modal Machine Learning in Engineering Design: A Review and Future Directions. CoRR Binyang Song, Rui Zhou, Faez Ahmed
2023	J	`jnl`	Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning. CoRR Noah J. Bagazinski, Faez Ahmed
2023	J	`jnl`	ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints. CoRR Noah J. Bagazinski, Faez Ahmed
2023	J	`jnl`	Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings. CoRR Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Aréchiga, Faez Ahmed
2022	J	`jnl`	A Weighted Statistical Network Modeling Approach to Product Competition Analysis. Complex. Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor, Wei Chen
2022	J	`jnl`	Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design. CoRR Lyle Regenwetter, Faez Ahmed
2022	J	`jnl`	FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames. CoRR Lyle Regenwetter, Colin Weaver, Faez Ahmed
2022	J	`jnl`	LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design. CoRR Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2022	J	`jnl`	TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization. CoRR François Mazé, Faez Ahmed
2022	J	`jnl`	Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design. CoRR Lyle Regenwetter, Faez Ahmed
2021	J	`jnl`	A Graph Neural Network Approach for Product Relationship Prediction. CoRR Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen
2021	J	`jnl`	BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design. CoRR Lyle Regenwetter, Brent Curry, Faez Ahmed
2021	J	`jnl`	CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis. CoRR Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed
2021	J	`jnl`	Deep Generative Models in Engineering Design: A Review. CoRR Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
2021	J	`jnl`	MO-PaDGAN: Reparameterizing Engineering Designs for augmented multi-objective optimization. Appl. Soft Comput. Wei Chen, Faez Ahmed
2021	A*	`conf`	PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. KDD Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. CoRR Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis. CoRR Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	Self-Organizing Teams in Online Work Settings. CoRR Ioanna Lykourentzou, Federica Lucia Vinella, Faez Ahmed, Costas Papastathis, Konstantinos Papangelis, Vassilis-Javed Khan, Judith Masthoff
2020	A*	`conf`	An Algorithm for Multi-Attribute Diverse Matching. IJCAI Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
2020	J	`jnl`	Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems. CoRR Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen
2020	J	`jnl`	Forming Diverse Teams from Sequentially Arriving People. CoRR Faez Ahmed, John Dickerson, Mark D. Fuge
2020	J	`jnl`	METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. CoRR Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen
2020	J	`jnl`	MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. CoRR Wei Chen, Faez Ahmed
2020	J	`jnl`	MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. CoRR Wei Chen, Faez Ahmed
2020	J	`jnl`	PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs. CoRR Wei Chen, Faez Ahmed
2019	J	`jnl`	Algorithms for Optimal Diverse Matching. CoRR Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
2019	—	`—`	Diversity and Novelty: Measurement, Learning and Optimization. Faez Ahmed
2019	B	`conf`	Structuring Online Dyads: Explanations Improve Creativity, Chats Lead to Convergence. Creativity & Cognition Faez Ahmed, Nischal Reddy Chandra, Mark D. Fuge, Steven Dow
2018	J	`jnl`	Creative Exploration Using Topic Based Bisociative Networks. CoRR Faez Ahmed, Mark D. Fuge
2018	J	`jnl`	When Crowds Give You Lemons: Filtering Innovative Ideas using a Diverse-Bag-of-Lemons Strategy. Proc. ACM Hum. Comput. Interact. Ioanna Lykourentzou, Faez Ahmed, Costas Papastathis, Irwyn Sadien, Konstantinos Papangelis
2017	A	`conf`	Capturing Winning Ideas in Online Design Communities. CSCW Faez Ahmed, Mark D. Fuge
2017	A*	`conf`	Diverse Weighted Bipartite b-Matching. IJCAI Faez Ahmed, John P. Dickerson, Mark D. Fuge
2017	J	`jnl`	Diverse Weighted Bipartite b-Matching. CoRR Faez Ahmed, John P. Dickerson, Mark D. Fuge
2017	J	`jnl`	Ranking ideas for diversity and quality. CoRR Faez Ahmed, Mark D. Fuge
2016	J	`jnl`	Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation. Appl. Soft Comput. Faez Ahmed, Kalyanmoy Deb, Bishakh Bhattacharya
2013	J	`jnl`	Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput. Faez Ahmed, Kalyanmoy Deb
2013	J	`jnl`	Multi-objective optimization and decision making approaches to cricket team selection. Appl. Soft Comput. Faez Ahmed, Kalyanmoy Deb, Abhilash Jindal
2012	—	`conf`	Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm. BIC-TA (1) Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb
2011	—	`conf`	Controller Design of Active Suspension System with Terrain Preview Using Evolutionary Multi-objective Algorithms. SocProS (2) Faez Ahmed, David Purdy
2011	—	`conf`	Cricket Team Selection Using Evolutionary Multi-objective Optimization. SEMCCO (2) Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb
2011	—	`conf`	Multi-objective path planning using spline representation. ROBIO Faez Ahmed, Kalyanmoy Deb