Hi 馃憢, I'm Ricard,
an engineer at the intersection between
computer science & advanced manufacturing
About me
- 2024-Present: Machine Learning Engineer @Nanoprecise
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2020-2024: Researcher @IQS School of Engineering
- Development of semantic segmentation models (AI) for vegetation management
- Sensor integration for infrastructure monitoring
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2020-2023: PhD Candidate @IQS School of Engineering.
- Working on the application of computer vision and machine learning to the field of structural health monitoring
- Funding by: Ajuts Llavor: Ag猫ncia de Gesti贸 d'Ajuts Universitaris i de Recerca; RED.ES: Ministerio de Asuntos Econ贸micos y Transformaci贸n Digital; Innotec: Ag猫ncia per la Competitivitat de l'Empresa; Fundaci贸 IQS
- 2021-2023: Teaching Assistant for "Industrial Automation, Internet of Things and Digital Twins" @IQS School of Engineering
- Participant at: 2021 The Collider OnCampus Lean Launchapad
- 2020: Pg.C. in Technology Transfer: from Scientific Knowledge to the Market @Universitat Pompeu Fabra
- 2018-2020: M.Sc. in Industrial Engineering & M.Sc. in Industrial Business Management @IQS
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2019: Engineering intern @ITQ GmbH
- Development of a proof-of-concept pick-and-place robot using deep learning based machine vision
- AI development for product recognition and classification
- Design and integration of the computer vision module onto the manufacturing execution system
- OPC UA communication infrastructure planning
- Mechanical design of 3D printable parts
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2017: Engineering intern at Cleandrone
- Drone repair and diagnosis
- Linux system administration
- Software development
- 2014-2018: B.Sc. in Industrial Engineering @IQS School of Engineering
Certifications & Awards
- Certified SOLIDWORKS Professional in Mechanical Design (CSWP) -- Credential ID C-FL7HCV6XSU
- Certified SOLIDWORKS Associate in Additive Manufacturing CSWA -- Credential ID C-BM8SKHAZLW
- 1st place at the V Hackathon for Smart Industry organized by Comillas ICAI
- XXXVIII Premi Creativitat per a Joves by Col路legi d'Enginyers Industrials de Catalunya
Scientific Publications
- Cross-domain transfer learning for vibration-based damage classification via convolutional neural networks
- Doctoral Thesis: Leveraging Learning-Based Computer Vision for Vibration-Informed Structural Diagnosis
- ViMag: A Visual Vibration Analysis Toolbox
- STB-VMM: Swin Transformer based Video Motion Magnification
- Performance analysis of vibration-based damage indicators under low-modal information structures
- Learning-based video motion magnification approach for vibration-based damage detection
Other Publications
About my projects
- Canonada: A data science framework for building production-ready data-streaming pipelines in Python.
- Co-founder of Antplan: The work planning tool for small businesses and professionals.
- Oink!: A lightweight DDNS client for Porkbun
- rsparse: A Rust library for solving sparse linear systems using direct methods
- GMRES: A sparse linear system iterative method written in Rust
- STB-VMM: A state-of-the-art video motion magnification model
- ViMag: A Visual Vibration Toolbox
- Racing drones, 3D printing, web-crawlers, and more!