2 citations · 2 across the 7 of their papers we have counts for
13 papers
End-to-End Autonomous Generation of Human Assembly Plans
Faustin Arion von Arx, Millicent Schlafly, Mark D. Fuge
Turning a CAD design into an assembly plan is still largely done by hand, requiring engineers to reason about geometric feasibility, tool access, stability, and the ergonomics of h…
Stimulated emission for a three-level artificial atom in waveguide quantum electrodynamics
O. A. Chuikin, Ya. S. Greenberg, V. V. Taravkova +1
This work is devoted to a theoretical study of the interaction of a quantum three-level ladder system with a continuous electromagnetic field in a one-dimensional open waveguide. W…
Only Project Once: Projection-Adaptive Loss for Exact Constraint Satisfaction
Tim Aebersold, Soheyl Massoudi, Mark Fuge
Precise constraint satisfaction is a prerequisite to deploying learned models in many areas, motivating methods that repair raw neural predictions with a repair procedure. Current…
Transferable Low-Dimensional Representations of Aircraft Surface Fields
Francis G. VanGessel, Cashen Diniz, Mark Fuge
Analyzing flow fields on aerodynamic surfaces is critical to designing next-generation aircraft. Raw computational representations are high-dimensional and costly for complex three…
Conditional Flow Matching for ML-Based Inverse Design Problems
Juliana Felder, Milad Habibi, Soheyl Massoudi +1
Engineering inverse design is often limited by the high computational cost of iterative solvers for optimization problems constrained by partial differential equations (PDEs) and b…
Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers
Soheyl Massoudi, Gabriel Apaza, Milad Habibi +1
Large language models (LLMs) typically approach combinatorial optimization as an inference-time procedure, solving each instance separately through sampling, search, or repeated pr…
EngiAI: Capability-Based Evaluation of Tool-Connected LLM Agents for Engineering Design
Gioele Molinari, Florian Felten, Soheyl Massoudi +1
Engineering-agent systems are proliferating, but differences in tasks, tools, and success criteria make demonstrations difficult to compare and failures difficult to diagnose. We i…
Assessing Hemodynamic Impact of Tissue-Engineered Vascular Graft Displacement: Combining Postoperative in vivo Results and Computational Modeling to Improve Surgical Planning
Seda Aslan, Enze Chen, Miya Mese-Jones +11
Tissue-engineered vascular grafts (TEVG) have shown promise in advancing vascular reconstructions. However, precise in vivo implantation is challenging, and it is unclear how devia…
OptiWing3D: A Diverse Dataset of Optimized Wing Designs
Cashen Diniz, Mark D. Fuge
OptiWing3D is the first publicly available dataset of high-fidelity shape optimized 3D wing geometries. Existing aerodynamics datasets are either limited to 2D simulations, lack op…
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design
Tim Aebersold, Soheyl Massoudi, Mark D. Fuge
Engineering complex systems (aircraft, buildings, vehicles) requires coordinating geometric and performance couplings across subsystems. As generative models proliferate for specia…
Toward Autonomous Soft Robotic Endovascular Navigation via Imitation Learning
Noah Barnes, Ji Woong Kim, Lingyun Di +11
In endovascular surgery, endovascular interventionists push a thin tube called a catheter, guided by a thin wire to a treatment site inside the patient's blood vessels to treat var…
EngiBench: A Framework for Data-Driven Engineering Design Research
Florian Felten, Gabriel Apaza, Gerhard Bräunlich +9
Engineering design optimization seeks to automatically determine the shapes, topologies, or parameters of components that maximize performance under given conditions. This process…
Agentic Large Language Models for Conceptual Systems Engineering and Design
Soheyl Massoudi, Mark Fuge
Early-stage engineering design involves complex, iterative reasoning, yet existing large language model (LLM) workflows struggle to maintain task continuity and generate executable…