Skills

I AM REALLY GOOD AT THE FOLLOWING TECHNICAL SKILLS

Analysis

90%

Leadership

80%

Photography

70%

Research

95%

Experience

PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE

 
 
 
 
 

PhD Student - FPU Fellowship

Universidad de Málaga - ERTIS Research Group

Jan 2025 – Present Málaga, Spain

Teaching tasks in Bachelor of Computer Science Engineering since 2025:

  • Introduction to Software Engineering
 
 
 
 
 

Exchange PhD Student

Yonsei University - DCL Lab

Mar 2024 – Jun 2024 Seoul, South Korea
Describe blockchain tasks at evolve project and the paper published at DC, USA
 
 
 
 
 

PhD Student

Universidad de Málaga - ERTIS Research Group

Oct 2022 – Jan 2025 Málaga, Spain
PhD student in Computer Technologies (Security, Networks and Embedded Systems research topic) at the University of Málaga. Project aimed at the study, application and detection of potential problems on the use of Machine Learning techniques on real time data streams in Industry 4.0 use cases.
 
 
 
 
 

Research Technician

Universidad de Málaga - ERTIS Research Group

Apr 2021 – Oct 2022 Málaga, Spain

Some of the work done:

  • Embedded software development.
  • Analysis of biological samples using Computer Vision libraries and techniques.
  • Sensor deployment for data collection.
  • Extended “Kafka-ML” application support to new Deep Learning frameworks.
  • Data analysis and ML models development to predict hard-to-measure variables in natural environments and Industry 4.0
 
 
 
 
 

Research intern

Universidad de Málaga - ERTIS Research Group

Dec 2020 – Apr 2021 Málaga, Spain
Embedded Software development using C++ and OpenCV.

Recent Publications

Some publications i have recently published

"A soft sensor open-source methodology for inexpensive monitoring of water quality: A case study of NO₃⁻ concentrations", Journal of Computational Science vol. 85 (2025) 102522

DOI PDF File

"Towards flexible data stream collaboration: Federated Learning in Kafka-ML", Internet of Things 25 (2024) 101036

DOI PDF File

"Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis", Earth Science Informatics vol. 17 (2023) 699–710

DOI PDF File

Contact

Connect with me

  • chaves@uma.es
  • 951 95 29 30
  • A.1.1, Ada Byron Research Centre, 18 Arquitecto Francisco Peñalosa St. 29010, Malaga, Spain
  • Generally available Monday to Friday, 9:00–14:00, with limited hours on Monday and Wednesday.
  • Book an appointment