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Jaime A. Riascos-Salas

Jaime A. Riascos-Salas ist wissenschaftlicher Mitarbeiter und Doktorand der Potsdam Embodied Cognition Group (PECoG). Er ist Mechatronik-Ingenieur (ITM, Kolumbien) mit einem Master-Abschluss in Informatik (UFRGS, Brasilien). Sein Forschungsschwerpunkt liegt auf der Erforschung innovativer Ansätze für die Mensch-Roboter-Kollaboration (entweder physische oder virtuelle Roboter), der Integration multimodaler Interaktion mithilfe von BCI (Brain Computer Interfaces), Emotions- und Gestenerkennung (Video- und Verarbeitung natürlicher Sprache) auf der Grundlage modernster Ansätze im maschinellen Lernen und Deep-Learning, verkörperter Kognition und Robotik.

Jaime ist Stipendiat des DAAD-Stipendienprogramms „Forschungsstipendien – Promotionen in Deutschland, 2024/25“. Für das SoSe 2024 unterrichtet er das Seminar „Advanced Methods: Experimental Programming“.

 

E-mail: riascossal@uni-potsdam.de -  jarsalas@inf.ufrgs.br 
Raumnummer: 14.6.24

Google Scholar: https://scholar.google.com/citations?user=ueW91MEAAAAJ&hl=en

ORCID: https://orcid.org/0000-0001-6134-4139

 

BETREUUNG ABSCHLUSSARBEITEN - BACHELOR

  • Muñoz, K.V. (2020). Lulo (Solanum Sp) classification system using artificial vision techniques. Mechatronics Engineering. Mariana University (UNIMAR). Approved. http://serviap2009.umariana.edu.co/Biblioteca/frm_resultados.aspx?xi=60386
  • Soto, A. (2019). Development of an automatic method for generating GUI code from images using deep learning techniques. Informatics Engineering. Autonomous University Corporation of Nariño (AUNAR). Approved summa cum laude.  http://repositorio.aunar.edu.co:8080/xmlui/handle/20.500.12276/1013
  • Patiño, M. (2019). Mobile app for diagnosing foliar deficiencies by macronutrients in potato crops of the Andean region of Nariño using deep learning techniques. Informatics Engineering. . Autonomous University Corporation of Nariño (AUNAR). Approved cum laude. http://repositorio.aunar.edu.co:8080/xmlui/handle/20.500.12276/1102
  • Agreda, N. (2020). An exploratory study of machine techniques learning for classifying offline ECG records aimed at the automatic detection of cardiac arrhythmias. Informatics Engineering. Autonomous University Corporation of Nariño (AUNAR). Approved cum laude. http://repositorio.aunar.edu.co:8080/xmlui/handle/20.500.12276/1220
  • Martinez, D; Solarte, E. (2019). Development of a kernel-based supervised classification strategy in a multi-label scenario. Electronic Engineering. University of Nariño. Approved cum laude.
  • Chamorro, L; Diaz, T. (2020). Comparative study of machine learning techniques for the determination of respiratory health from spirometry data. Electronic Engineering. University of Nariño. Approved.
  • Valcanaia, H. (2021). TS2Image: A software to convert EEG time series into images for training Brain-Computer Interface Convolutional Neural Networks. Computer Engineering. Federal University Rio Grande do Sul (UFRGS). Approved.  https://www.lume.ufrgs.br/handle/10183/235487?show=full
  • Loaiza, J. (2022). Colombian inflation forecasting: an approximation from machine learning models. Economics. EAFIT. Approved. https://repository.eafit.edu.co/handle/10784/32203?locale-attribute=es
  • Rendón, Yubely. (2023). An online Brain-Computer Interface for controlling a virtual third arm. Biomedical Engineering. Universidad Santiago de Cali (USC). Approved.

 

BETREUUNG ABSCHLUSSARBEITEN - MASTER

  • Pinillla, J. (2023). Using Deep Learning for precision agriculture: diagnosing potatoes leaves macronutrients. In progress. Master’s degree in Automation and Control. Technological Metropolitan Instituto (ITM).

 

GUTACHTER (PEER REVIEW)

  • Norwegian University of Science and Technology (NTNU) – master’s degree theses:
    • Mental Stress Classification from Phonocardiogram Signals: A wavelet Scattering Approach on Asynchronously Segmented PCG (2023)
    • Design and evaluation of an automated stress detection system using Electroencephalography (EEG) signals (2023)
    • Motor Imagery-based Brain-Computer Interfaces: Exploring Optimization and Transfer Learning Techniques for Multiclass Classification (2023)
  • The Visual Computer Journal (Elsevier) (2021-2023)
  • Brain Informatics (Springer) (2020, 2022)
  • International Symposium on Artificial Intelligence & Neuroscience (ACAIN, Springer) (2020)
  • Latin American Workshop on Computational Neurosciences (LAWCN, Springer) (2019-2023)

 

PUBLIKATIONEN
2023

2022

2021

2020

  • Umaquinga-Criollo, A.C., Tamayo-Quintero, J.D., Moreno-García, M.N., Riascos, J.A., Peluffo-Ordóñez, D.H. (2020). Multi-expert Methods Evaluation on Financial and Economic Data: Introducing Bag of Experts. In: de la Cal, E.A., Villar Flecha, J.R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in Computer Science(), vol 12344. Springer, Cham. https://doi.org/10.1007/978-3-030-61705-9_36
  • Parraga-Alava, J., Alcivar-Cevallos, R., Riascos, J.A., Becerra, M.A. (2021). Aphids Detection on Lemons Leaf Image Using Convolutional Neural Networks. In: Botto-Tobar, M., Zamora, W., Larrea Plúa, J., Bazurto Roldan, J., Santamaría Philco, A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_2 
  • Rosero-Montalvo, P.D.; López-Batista, V.F.; Riascos, J.A.; Peluffo-Ordóñez, D.H. Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador). Remote Sens. 2020, 12, 1988. https://doi.org/10.3390/rs12121988
  • Mora-Paz, Héctor, Jaime A. Riascos, J. A. Salazar-Castro, Germán Mora, Andrés Pantoja, Javier Revelo-Fuelagán, Laura Mancera-Valetts, and Diego Peluffo-Ordoñez. "Comparación de funciones kernel para la predicción de la oferta energética fotovoltaica." Revista Ibérica de Sistemas e Tecnologias de Informação E38 (2020): 310-324. https://www.proquest.com/openview/90f3d964d1fdcdeb272fe198c5041fe9/1?pq-origsite=gscholar&cbl=1006393
  • Mayorca-Torres, D., Moncayo-Torres, E. M., Burbano-Martínez, D. M., Chamorro-Lucero, M. A., Riascos-Salas, J. A., & Salazar-Castro, J. A. (2020). Estudio preliminar de la distribución de presiones en posición bípeda mediante uso de baropodometría óptica y sensores de fuerza resistivos. Revista Ibérica de Sistemas e Tecnologias de Informação, (E33), 1-13. https://www.proquest.com/openview/84d3390ac174369ebf5da474de479b5d/1?pq-origsite=gscholar&cbl=1006393

2019

  • Vega-Gualán E., Vargas A., Becerra M., Umaquinga A., Riascos J.A., Peluffo D. (2019) Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System. In: Liang P., Goel V., Shan C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science, vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_19
  • Riascos J.A., Brugger A.M., Borges P., da Luz Fontes A.B.A., Barone D.C. (2019) Reading Span Test for Brazilian Portuguese: An Eye-Tracking Implementation. In: Cota V., Barone D., Dias D., Damázio L. (eds) Computational Neuroscience. LAWCN 2019. Communications in Computer and Information Science, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-030-36636-0_8
  • O Oña-Rocha, JA Riascos-Salas, IC Marrufo-Rodríguez, MA Páez-Jaime, D Mayorca-Torres, KL Ponce-Guevara, JA Salazar-Castro, DH Peluffo-Ordóñez (2019) Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials. In: Cota V., Barone D., Dias D., Damázio L. (eds) Computational Neuroscience. LAWCN 2019. Communications in Computer and Information Science, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-030-36636-0_3
  • Riascos J., Villa S., Maciel A., Nedel L., Barone D. (2019) Towards Moving Virtual Arms Using Brain-Computer Interface. In: Gavrilova M., Chang J., Thalmann N., Hitzer E., Ishikawa H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science, vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_43

2018

  • Riascos J.A., Salvador Dura-Bernal, Dante A. C. Barone (2018) Extension of a spiking-neuron model of the motor system using NetPyNE. Poster presentation in the Giersch International Symposium on The Logistics of Neuronal Function.

2017

  • Riascos J.A., Nedel L.P., Barone D.C. (2017) An Adaptive User Interface Based on Psychological Test and Task-Relevance. In: Barone D., Teles E., Brackmann C. (eds) Computational Neuroscience. LAWCN 2017. Communications in Computer and Information Science, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-71011-2_12
  • Gonzalez R.T., Riascos J.A., Barone D.A.C. (2017) How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Methods and Applications. In: Barone D., Teles E., Brackmann C. (eds) Computational Neuroscience. LAWCN 2017. Communications in Computer and Information Science, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-71011-2_6

2016

  • J. Andrés Riascos; Hernandez, L. A. M. ; A. Mejía-Rico . Prueba Experimental del Principio de Equivalencia. In: XXVI Congreso Nacional de Física, 2015, Manizales. Libro de Resúmenes XXVI Congreso Nacional de Física Colombiano. Manizales: Universidad Nacional, 2015. v. 1. p. 173-173.
  • J. Andrés Riascos; Hincapie, D. A. ; Ardila, J. G. Potencial de los Laboratorios de Modelado y Simulación del ITM para el Análisis de Dinámica de Fluidos Computacional, Aplicable a la Ingeniería e Investigación. in: III Congreso Internacional en Investigación, Innovación, Emprendimiento y Empresarismo, 2014, Pasto. La construcción de cultura emprendedora y empresarial un reto para América Latina en el siglo XXI: Memorias del 3er Congreso Internacional de Emprendimiento. Pasto: Universidad Mariana, 2014. v. 1. p. 286-306
  • J. Andrés Riascos; ARDILA, J. G. ; Jhon, A., Isaza, H. Estudio Numérico del Desarrollo de Flujo a Través de Tubos Torsionados y Flexionados en Espiral. In: II Congreso Internacional de Investigación e Innovación en Ingeniería, Ciencia y Tecnología de Alimentos IICTA 2014, Medellín. Revista Facultad Nacional de Agronomía Medellín. Medellín: Universidad Nacional, 2014. v. 67. p. 283-285.
  • J. Andrés Riascos; ARDILA, J. G. ; Julio, A. Casas, M . Efecto de Densificar el Mallado Durante el Análisis Numérico de Intercambiadores de Calor de Tubo Torsionado. In: II Congreso Internacional de Investigación e Innovación en Ingeniería, Ciencia y Tecnología de Alimentos IICTA 2014, Medellín. Revista Facultad Nacional de Agronomía Medellín. Medellín: Universidad Nacional, 2014. v. 67. p. 343-345.
  • J. Andrés Riascos; HINCAPIE, D. A. ; ARDILA, J. G. Estudio de la Incidencia de Velocidad del Fluido en Rapidez de Calentamiento de un Reservorio de Alta en una Bomba de Calor. In: IX Congreso Colombiano de Metodos Numericos: Simulación en Ciencias y Aplicaciones Industriales IX CCMN 2013, Cali-Colombia. Métodos Numéricos y sus Aplicaciones en Diferentes Areas. Cali-Colombia: Universidad Autónoma de Occidente, 2013. v. 1. p. 393-398.

 

PATENTE

 

WEITERE ERFAHRUNGEN

          Leitung

          Hauptredner (Key-note speaker)

          Hauptredner (Key-note speaker)

          Mitglied des Organisations- und Wissenschaftskomitees                                                                                                  

  • November 2020: IV Symposium in Mechatronics and Electromechanics - ITM, Medellín, CO

          Hauptredner (Key-note speaker)

          Hauptredner (Key-note speaker)

          Hauptredner (Key-note speaker)

  • November 2019: Robotics and Intelligent Systems (ROBIN) – University of Oslo, Oslo, NO

          Gastvortragender

  • November 2019: Potsdam Embodied Cognition Group (PECoG) – Potsdam Universität, Potsdam, DE

          Gastvortragender

  • November 2019: Control Systems Group – Technische Universität Berlin (TU Berlin), Berlin, DE

          Gastvortragender

          Kolumbianischer Finalist im internationalen Wettbewerb

  • October 2019: II Congress towards a New Vision of the Engineering – AUNAR, Pasto, CO

          Hauptredner (Key-note speaker)

          Mitglied des Organisations- und Wissenschaftskomitees                                                                                                

  • October 2018: Workshop Growing in Science – ITM, Medellin, CO

          Hauptredner (Key-note speaker)

          Mitglied des Organisations- und Wissenschaftskomitees

 

AUSZEICHNUNGEN UND STIPENDIEN