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ORCID Publications Auto-Sync

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Enhanced SiROP Integration for Student Projects

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Jupyter notebook markdown generator

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Posts

Welcome to My Academic Website

I’m excited to announce the launch of my new academic website! This platform will serve as a central hub for sharing my research, publications, and academic journey.

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portfolio

ARMID

Published in Journal of Mechanical Design, ASME

Automated, Robust, Modular and Integrated Design framework - the backbone of the entire thesis enabling automated optimization of complete turbocompressor systems under constraints.

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ParaturboCAD

Published in IDETC 2024, Washington DC

Automated 3D CAD generation of entire turbocompressor spindles from a single Python-scripted workflow, reducing manual geometry handling to 7 minutes per design.

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DARTS-NetGAB

Published in ASME Journal of Mechanical Design

Unified framework integrating Panel/Bokeh GUI, ensemble neural networks, and ParaturboCAD for real-time simulation and automated CAD generation of gas-bearing supported turbocompressors.

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Agentic Large Language Models for Conceptual Systems Engineering and Design

Published in Preprint (arXiv)

A structured multi‑agent LLM framework with a JSON‑serializable Design‑State Graph for early‑stage systems engineering.

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publications

Quasi-elastic neutrino reactions on carbon and lead nuclei

Published in Journal of Physics G: Nuclear and Particle Physics

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ARRID: ANN-based Rotordynamics for Robust and Integrated Design

Published in Preprint

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

Published in Design Science

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Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks

Published in Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery

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An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

Published in Volume 3B: 49th Design Automation Conference (DAC)

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Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks

Published in Journal of Turbomachinery

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ParaturboCAD Dataset of R134a HGJB Supported Centrifugal Compressors Optimized Across Varied Mass Flows

Published in Zenodo

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

Published in Volume 3B: 50th Design Automation Conference (DAC)

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ParaturboCAD: Automated Parametric Geometry Construction for Gas-Bearing Supported Turbocompressor Design With Python

Published in Volume 3B: 50th Design Automation Conference (DAC)

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Empowering turbocompressor design with AI: a unified approach to robustness and all-at-once optimization

Published in PhD Thesis

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

Published in Journal of Mechanical Design

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Robust design optimization of gas-lubricated herringbone grooved journal bearings: Surrogate modeling and experimental validation

Published in Tribology International

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

Published in Journal of Mechanical Design

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Agentic LLM traces for Conceptual Systems Engineering & Design

Published in Zenodo

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Agentic Large Language Models for Conceptual Systems Engineering and Design

Published in Preprint

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Dimensionless group-driven ensemble neural networks for robust design optimization in engineering

Published in Journal of Computational Design and Engineering

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talks

Engineering Research Day: Exploring Engineering in the Age of AI

Poster Presentation at the inaugural Engineering Research Day event at EPFL, focusing on exploring engineering challenges and opportunities in the age of artificial intelligence. This event brought together researchers and industry professionals to discuss the intersection of AI and engineering disciplines.

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IDEAL Lab Apero: PhD to Postdoc Transition

Informal Poster Presentation at the IDEAL Lab apero event, showcasing PhD research achievements and future postdoc vision. This internal lab event was open to other D-MAVT labs to explore IDEAL Lab’s research activities and foster interdisciplinary collaboration.

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teaching

Applied Mechanical Design

Master course, EPFL, Laboratory for Applied Mechanical Design

Teaching Assistant - Master course in Applied Mechanical Design

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Thermal Power Cycles and Heat Pumps

Master course, EPFL, Laboratory for Applied Mechanical Design

Teaching Assistant - Master course in Thermal Power Cycles and Heat Pumps

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