2 citations · 3 across the 6 of their papers we have counts for
9 papers
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…
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…
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…
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…
ARRID: ANN-based Rotordynamics for Robust and Integrated Design
Soheyl Massoudi, Jürg Schiffmann
The purpose of this study is to introduce ANN-based software for the fast evaluation of rotordynamics in the context of robust and integrated design. It is based on a surrogate mod…
Quasi-Elastic Neutrino Reactions on Carbon and Lead Nuclei
Mohammad Hedayatipoor, James Finlay, Soheyl Massoudi +2
We examine neutral-current quasi-elastic neutrino-nucleus reactions on C and Pb targets. We use the relativistic mean field theory approach to describe the nuclear d…