• Home >
  • Profile-Miguel Ortiz del Castillo

Dr. Miguel Ortiz del Castillo

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg



Dr. Ortiz has more than five years of experience in spacecraft systems, digital electronics, and software engineering. He received his Ph.D. in electronics from Universidad de Alcala de Henares (Spain) in 2019. He served as electronic engineer for over five years at Airbus Defence and Space (Spain/France), where one highlight was his contribution to the design of the ExoMars Descent Module On-Board Computer. During this period, he also worked as product test manager for the Mass Memory and Formatting Unit for the MetOp Second Generation satellites and as electronic designer for the Perseverance NASA rover’s wind sensor instrument. After completing his Ph.D., Dr. Ortiz joined the University of Melbourne in 2019 to lead the electronic and software design of the SkyHopper and SpIRIT nanosatellites. In 2021, Dr. Ortiz joined the University of Luxembourg in the Computer Vision, Imaging, and Machine Intelligence Research Group to continue working on increasing the computational capabilities on-board.

Research Interests

  • Space Electronics
  • Machine Learning
  • Deep Learning
  • Biomedical Images and Signal Processing
  • Edge AI



Musallam, Mohamed Adel, Vincent Gaudilliere, Miguel Ortiz del Castillo, Kassem Al Ismaeil, and Djamila Aouada. 2022. “Leveraging Equivariant Features for Absolute Pose Regression.” In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

Boquete, Luciano, Maria-José Vicente, Juan-Manuel Miguel-Jiménez, Eva-María Sánchez-Morla, Miguel Ortiz, Maria Satue, and Elena Garcia-Martin. 2022. “Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence.” International Journal of Clinical and Health Psychology 22 (2): 100294.


Garcia-Martin, Elena, M Ortiz, Luciano Boquete, Eva M Sánchez-Morla, Rafael Barea, Carlo Cavaliere, Elisa Vilades, Elvira Orduna, and María Jesús Rodrigo. 2021. “Early Diagnosis of Multiple Sclerosis by OCT Analysis Using Cohen’s d Method and a Neural Network as Classifier.” Computers in Biology and Medicine 129: 104165.

López-Dorado, Almudena, Miguel Ortiz, María Satue, María J Rodrigo, Rafael Barea, Eva M Sánchez-Morla, Carlo Cavaliere, et al. 2021. “Early Diagnosis of Multiple Sclerosis Using Swept-Source Optical Coherence Tomography and Convolutional Neural Networks Trained with Data Augmentation.” Sensors 22 (1): 167.

López-Dorado, Almudena, Javier Pérez, María Jesús Rodrigo, Juan Manuel Miguel-Jiménez, M Ortiz, Luis de Santiago, E López-Guillén, et al. 2021. “Diagnosis of Multiple Sclerosis Using Multifocal ERG Data Feature Fusion.” Information Fusion 76: 157–67.

Miguel, JM, M Roldán, C Pérez-Rico, M Ortiz, L Boquete, and R Blanco. 2021. “Using Advanced Analysis of Multifocal Visual-Evoked Potentials to Evaluate the Risk of Clinical Progression in Patients with Radiologically Isolated Syndrome.” Scientific Reports 11 (1): 1–9.

Musallam, Mohamed Adel, Miguel Ortiz Del Castillo, Kassem Al Ismaeil, Marcos Damian Perez, and Djamila Aouada. 2021. “Leveraging Temporal Information for 3d Trajectory Estimation of Space Objects.” In Proceedings of the IEEE/CVF International Conference on Computer Vision, 3816–22.

Sánchez-Morla, Eva M, Juan L Fuentes, Juan M Miguel-Jiménez, Luciano Boquete, Miguel Ortiz, Elvira Orduna, María Satue, and Elena Garcia-Martin. 2021. “Automatic Diagnosis of Bipolar Disorder Using Optical Coherence Tomography Data and Artificial Intelligence.” Journal of Personalized Medicine 11
(8): 803.


Del Castillo, M Ortiz, B Cordón, EM Sánchez Morla, E Vilades, MJ Rodrigo, C Cavaliere, L Boquete, and E Garcia-Martin. 2020. “Identification of Clusters in Multifocal Electrophysiology Recordings to Maximize Discriminant Capacity (Patients Vs. Control Subjects).” Documenta Ophthalmologica 140 (1): 43–53.


Boquete, L, E López-Guillén, E Vilades, JM Miguel-Jiménez, LE Pablo, L De Santiago, M Ortiz Del Castillo, et al. 2019. “Diagnostic Ability of Multifocal Electroretinogram in Early Multiple Sclerosis Using a New Signal Analysis Method.” Plos One 14 (11): e0224500.

Cavaliere, Carlo, Miguel Ortiz del Castillo, Rafael Barea Navarro, Elena García-Martin, Maria Jesus Rodrigo Sanjuan, E Viladés, and Luciano Boquete Vázquez. 2019. “Diagnóstico de Esclerosis múltiple a Partir de Imágenes de Tomografía de Coherencia óptica.” In Hacia Una Salud Personalizada y Universal. XXXVII Congreso Anual de La Sociedad Española de Ingeniería Biomédica: Actas Del Congreso CASEIB 2019, 215–18. Universidad de Cantabria.

Santiago, Luis de, M Ortiz del Castillo, Elena Garcia-Martin, María Jesús Rodrigo, Eva M Sanchez Morla, Carlo Cavaliere, Beatriz Cordón, Juan Manuel Miguel, Almudena López, and Luciano Boquete. 2019. “Empirical Mode Decomposition-Based Filter Applied to Multifocal Electroretinograms in Multiple Sclerosis Diagnosis.” Sensors 20 (1): 7.

Santiago Rodrigo, Luis De, Eva María Sánchez Morla, Miguel Ortiz del Castillo, M Elena López Guillén, Carlos Amo Usanos, María Concepción Alonso Rodríguez, Rafael Barea Navarro, et al. 2019. “A Computer-Aided Diagnosis of Multiple Sclerosis Based on mfVEP Recordings.


Santiago, Luis de, Eva Sánchez-Morla, Román Blanco, Juan Manuel Miguel, Carlos Amo, Miguel Ortiz del Castillo, Almudena López, and Luciano Boquete. 2018. “Empirical Mode Decomposition Processing to Improve Multifocal-Visual-Evoked-Potential Signal Analysis in Multiple Sclerosis.” PLoS One 13 (4): e0194964.


Amo, Carlos, Miguel Ortiz Del Castillo, Rafael Barea, Luis de Santiago, Alejandro Martínez-Arribas, Pedro Amo-López, and Luciano Boquete. 2016. “Induced Gamma-Band Activity During Voluntary Movement: EEG Analysis for Clinical Purposes.” Motor Control 20 (4): 409–28.

De Santiago, L, M Ortiz Del Castillo, R Blanco, R Barea, JM Rodríguez-Ascariz, JM Miguel-Jiménez, EM Sánchez-Morla, and L Boquete. 2016. “A Signal-to-Noise-Ratio-Based Analysis of Multifocal Visual-Evoked Potentials in Multiple Sclerosis Risk Assessment.” Clinical Neurophysiology 127 (2): 1574–80.


Castillo, M Ortiz del, Luis de Santiago, Alfredo Fernández, Roman Blanco, JM Rodríguez-Ascariz, Rafael Barea, Juan Manuel Miguel-Jiménez, Eva M Sánchez-Morla, and Luciano Boquete. 2015. “A New Method for Quantifying mfVEP Signal Intensity in Multiple Sclerosis.” Biomedical Signal Processing and Control 22: 119–25.

Fernández, A, Luis de Santiago, Roman Blanco, C Pérez-Rico, JM Rodríguez-Ascariz, Rafael Barea, Juan Manuel Miguel-Jiménez, et al. 2015. “Filtering Multifocal VEP Signals Using Prony’s Method.” Computers in Biology and Medicine 56: 13–19.

Santiago, Luis de, Alexander Klistorner, M Ortiz, AJ Fernández-Rodríguez, JM Rodríguez Ascariz, Rafael Barea, Juan Manuel Miguel-Jiménez, and Luciano Boquete. 2015. “Software for Analysing Multifocal Visual Evoked Potential Signal Latency Progression.” Computers in Biology and Medicine 59: 134–41.