Camilo Velázquez-Rodríguez

Camilo Velázquez-Rodríguez

Research Engineer

Flanders Make

Biography

Dr. Camilo Velázquez-Rodríguez is a Research Engineer at Flanders Make in Kortrijk, Belgium, where he works within Digital Productions in the Productions Core Lab. In this role, he leads and contributes to the design and deployment of data-driven solutions for industrial applications, spanning data engineering and analytics, software architecture and implementation, and cloud-based infrastructure and services.

He obtained his Ph.D. from the Vrije Universiteit Brussel (VUB) in 2024 under the supervision of Prof. Dr. Coen De Roover. Following his doctoral studies, he held a postdoctoral position at the Software Languages Lab in the Department of Informatics at VUB, where he contributed to advanced research at the intersection of software engineering and machine learning.

His expertise lies in optimisation, machine learning and deep learning, and mathematical modelling, with a strong focus on translating advanced methods into robust, scalable solutions for complex industrial systems.

Interests
  • Artificial Intelligence
  • Software Engineering
  • Mining Software Repositories
  • Optimisation Techniques
  • Mathematical Modelling
Education

  • Ph.D. in Computer Science, 2018-2024

    Vrije Universiteit Brussel (VUB)

  • M.Sc. in Applied Mathematics and Informatics for Administration, 2014-2016

    Universidad de Holguín "Oscar Lucero Moya" (UHO)

  • B.Sc. in Informatics, 2009-2014

    Universidad de Holguín "Oscar Lucero Moya" (UHO)

Publications

Camilo Velázquez-Rodríguez, Steven Kauffmann, Tom Pauwaert, Stijn Huysentruyt, Axl Van Alboom (2026). Accelerating the Adoption of Asset Administration Shells through AI Agents. In INTELLI 2026.

Ruben Opdebeeck, Valeria Pontillo, Camilo Velázquez-Rodríguez, Wolfgang De Meuter, Coen De Roover (2025). Smelling Secrets: Leveraging Machine Learning and Language Models for Sensitive Parameter Detection in Ansible Security Analysis. In SCAM 2025.

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Camilo Velázquez-Rodríguez (2024). Extracting Library Features from Incomplete Code on Stack Overflow.

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Camilo Velázquez-Rodríguez, Dario Di Nucci, Coen De Roover (2023). A Text Classification Approach to API Type Resolution for Incomplete Code Snippets. In SCICO 2023.

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Camilo Velázquez-Rodríguez, Eleni Constantinou, Coen De Roover (2022). LiFUSO: A Tool for Library Feature Unveiling based on Stack Overflow Posts. In ICSME 2022.

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Camilo Velázquez-Rodríguez, Eleni Constantinou, Coen De Roover (2022). Uncovering Library Features from API Usage on Stack Overflow. In SANER 2022.

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Ruben Opdebeeck, Ahmed Zerouali, Camilo Velázquez-Rodríguez, Coen De Roover (2021). On the practice of semantic versioning for Ansible galaxy roles: An empirical study and a change classification model. In JSS 2021.

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Ahmed Zerouali, Camilo Velázquez-Rodríguez, Coen De Roover (2021). Identifying Versions of Libraries used in Stack Overflow Code Snippets. In MSR 2021.

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Camilo Velázquez-Rodríguez, Coen De Roover (2020). MUTAMA: An Automated Multi-label Tagging Approach for Software Libraries on Maven. In SCAM 2020.

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Ruben Opdebeeck, Ahmed Zerouali, Camilo Velázquez-Rodríguez, Coen De Roover (2020). Does Infrastructure as Code Adhere to Semantic Versioning? An Analysis of Ansible Role Evolution. In SCAM 2020.

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Camilo Velázquez-Rodríguez, Coen De Roover (2020). Automatic library categorization. In SoHeal 2020.

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Adrian Pino Angulo, Kilho Shin, Camilo Velázquez-Rodríguez (2018). Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data. In Progress in Artificial Intelligence.

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Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada (2017). Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. In Neurocomputing.

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Camilo Velázquez-Rodríguez, Rodolfo García-Bermúdez, Fernando Rojas Ruiz, Roberto Becerra-García, Luis Velázquez (2017). Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records. In IWBBIO 2017.

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Rodolfo García-Bermúdez, Camilo Velázquez-Rodríguez, Fernando Rojas Ruiz, Manuel Rodríguez, Roberto Becerra-García, Michel Velázquez-Mariño, José Arteaga-Vera, Luis Velázquez (2015). Evaluation of Fitting Functions for the Saccade Velocity Profile in Electrooculographic Records. In IWANN 2015.

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Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada (2015). Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning. In IWANN 2015.

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Rodolfo García-Bermúdez, Camilo Velázquez-Rodríguez, Fernando Rojas Ruiz, Roberto Becerra-García, Michel Velázquez-Mariño, Liliana López, Luis Velázquez (2014). A Comparison of Two Fitting Functions for Sacadic Pulse Component Mathematical Modelling. In ANNIIP 2014.

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Awards

I have been very honoured to receive the following awards:

Ruben Opdebeeck, Valeria Pontillo, Camilo Velázquez-Rodríguez, Wolfgang De Meuter, Coen De Roover
Last updated on Jan 16, 2026
SCAM 2025 Distinguished Paper Award to: Smelling Secrets: Leveraging Machine Learning and Language Models for Sensitive Parameter Detection in Ansible Security Analysis
Camilo Velázquez-Rodríguez, Eleni Constantinou, Coen De Roover
Last updated on Jan 16, 2026
SANER 2022 Distinguished Paper Award to: Uncovering Library Features from API Usage on Stack Overflow
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