Curriculum Vitae

Soheyl Massoudi

Postdoctoral Researcher · Artificial Intelligence in Engineering Design · ETH Zurich

Mechanical engineer developing AI methods for executable engineering models, optimization code, and design tools.

Appointments

Postdoctoral Researcher
Nov 2024–present
Intelligence for Design, Engineering And Learning Lab · ETH Zurich

Research on requirements-to-model workflows, tool-using AI agents, simulation and optimization, benchmarked agent evaluation, and reusable solver generation.

Doctoral Researcher
Apr 2020–Oct 2024
Laboratory for Applied Mechanical Design · EPFL

Developed surrogate-assisted methods for multidisciplinary and robust optimization of gas-bearing turbocompressors, together with automated simulation and parametric CAD tools.

Aerospace Design Intern · Aerys
2019

Airframe design and aerodynamic analysis for a vertical-take-off-and-landing aircraft.

Physics Education and Tutoring
2016–2020

Developed EPFL Physics I learning material, coordinated tutoring activities, and taught International Baccalaureate mathematics and physics.

Academic Leadership

Workshop Co-Chair · Design Computing and Cognition 2026
2026

Co-chair of the hands-on workshop on benchmarking AI in engineering design.

Workshop programme ↗

Awards and Grants

Swiss AI Initiative Small Compute Grants
Two awards

Two competitive GPU-hour allocations on the CSCS Alps supercomputer for LLM fine-tuning and reinforcement-learning experiments.

EPFL Technology Transfer Office Enable Grant
2018
EPFL Vice Presidency for Innovation XGrant
2018

Education

Ph.D. in Energy · EPFL
2024

Laboratory for Applied Mechanical Design.

M.Sc. in Mechanical Engineering · EPFL
2020

Minor in Energy.

B.Sc. in Mechanical Engineering · EPFL
2017

Software and Research Outputs

Neural Solver Synthesis

GRPO training, fixed-code evaluation, models, datasets, and experiment traces for reusable optimization programs.

Repository ↗

Design-State Graph

Multi-agent implementations, evaluation scripts, saved design graphs, and experimental traces for conceptual systems engineering.

Repository ↗ · Journal article ↗

DARTS-NetGAB

Interactive learned simulation connected to automated system-level CAD generation.

Journal article ↗

ParaturboCAD

Open Python/CadQuery pipeline for parametric turbocompressor assemblies.

Repository ↗

ARMID

Surrogate-assisted optimization across coupled compressor, rotor, and bearing subsystems.

Journal article ↗

Selected Publications

Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers

arXiv preprint

Details DOI

Agentic Large Language Models for Conceptual Systems Engineering and Design

Journal of Mechanical Design

Details DOI

DARTS-NETGAB: Design Automation and Real-Time Simulation Using Neural Network Ensembles for Turbocompressors on Gas-Bearings

Journal of Mechanical Design

Details DOI

An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization

Journal of Mechanical Design

Details DOI

Robust design using multiobjective optimisation and artificial neural networks with application to a heat pump radial compressor

Design Science

Details DOI

Complete publication record →

Teaching and Mentoring

ETH Zurich: Supervised two Master's semester projects and eleven BSc theses; co-supervised the nine-student AISCO Focus Project team on AI for solar-car optimization.

EPFL: Supervised nine Master's semester projects; teaching assistant for Applied Mechanical Design and Thermal Power Cycles and Heat Pumps.

Methods and Tools

Multi-objective optimization, reinforcement learning for code, LLM fine-tuning and evaluation, distributed training, HPC experiment management, ensemble neural networks, surrogate modeling, systems design, Python, MATLAB, CadQuery, LangGraph, and scientific computing.