18 citations · 28 across the 7 of their papers we have counts for
8 papers
MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design
Noah J. Bagazinski, Md. Ferdous Alam, Jaya Manideep Rebbagondla +1
Ship structures govern vessel strength, safety, and manufacturability, but their design must satisfy hundreds of classification society requirements, making the process complex and…
AI-Guided Human-In-the-Loop Inverse Design of High Performance Engineering Structures
Dat Quoc Ha, Md Ferdous Alam, Markus J. Buehler +2
Inverse design tools such as Topology Optimization (TO) can achieve new levels of improvement for high-performance engineered structures. However, widespread use is hindered by hig…
GenCAD-3D: CAD Program Generation using Multimodal Latent Space Alignment and Synthetic Dataset Balancing
Nomi Yu, Md Ferdous Alam, A. John Hart +1
CAD programs, structured as parametric sequences of commands that compile into precise 3D geometries, are fundamental to accurate and efficient engineering design processes. Genera…
CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation
Anna C. Doris, Md Ferdous Alam, Amin Heyrani Nobari +1
Efficient creation of accurate and editable 3D CAD models is critical in engineering design, significantly impacting cost and time-to-market in product innovation. Current manual w…
VideoCAD: A Dataset and Model for Learning Long-Horizon 3D CAD UI Interactions from Video
Brandon Man, Ghadi Nehme, Md Ferdous Alam +1
Computer-Aided Design (CAD) is a time-consuming and complex process, requiring precise, long-horizon user interactions with intricate 3D interfaces. While recent advances in AI-dri…
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
Md Ferdous Alam, Faez Ahmed
The creation of manufacturable and editable 3D shapes through Computer-Aided Design (CAD) remains a highly manual and time-consuming task, hampered by the complex topology of bound…
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Anna C. Doris, Daniele Grandi, Ryan Tomich +4
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requi…
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design
Cyril Picard, Kristen M. Edwards, Anna C. Doris +4
Engineering design is undergoing a transformative shift with the advent of AI, marking a new era in how we approach product, system, and service planning. Large language models hav…