Dr. Jaime Duque Domingo

Professor in the Department of Systems Engineering and Automatics.
University of Valladolid
(Profesor en el Departamento de Ingenier铆a de Sistemas y Autom谩tica.
Universidad de Valladolid)

e-Mail: jaime.duque@uva.es

Contact me on LinkedIn (Contacta conmigo a trav茅s de LinkedIn)

https://www.linkedin.com/in/jaime-duque-domingo-bb576565

Access my CV in spanish (Accede a mi curr铆culo):

https://cvn.fecyt.es/0000-0001-6649-5550

Main research fields

Interested in computer vision, social and cognitive robotics, artificial intelligence, deep learning and activity recognition by means of sensors or computer vision.

Short Biography

Jaime Duque Domingo holds a PhD in Systems and Control Engineering from the UNED (2018), a Master’s Degree in Research in Software Engineering and Computer Systems from the UNED (2014) and a Master of Education (Mathematics) from the University Isabel I of Castilla (2018). He obtained a Bachelor’s Degree in Computer Engineering from the University of Valladolid (2011) and a Technical Engineering Degree in Computer Engineering from the same university in 2000. He obtained the qualification of Cum Laude in the defence of his doctorate and has obtained five awards in his research career: INFAIMON Prize 2015 and 2018, awarded to the best paper on computer vision presented at the Jornadas Nacionales de Autom谩tica (Bilbao, 2015) and (Badajoz, 2018), IARIA-ICWMC Prize 2017, to the best paper presented at the International Conference on Wireless and Mobile Communications (Nice, France, 2017), Extraordinary Doctorate Prize of the UNED, awarded in November 2020 and the only prize awarded in the School of Computer Science in that course, and Innovadores 2022 Prize, awarded by Iberdrola and the newspaper El Mundo for the best University Research Project. For 18 years, he has worked on the development of complex IT projects for the private sector, both in Spain and abroad. He has carried out projects in the insurance/banking field (Seguros Caja Duero), in the field of governmental applications (French Social Security through ATOS IT), European Commission (working in the Commission’s IT Department in Brussels – DIGIT), in the automotive sector (Renault, Valladolid) or projects for online sales applications (MachinePoint). During the last few years, he has focused on the academic world, obtaining his PhD, participating in several national and international conferences, publishing several publications and teaching at universities. He has participated in three research projects, within the UNED, the University of Valladolid and CARTIF. He has published 13 articles in SCI-JCR indexed journals, in the first and second quartile, and has participated in 10 national and international conferences. His field of activity is mainly focused on computer vision and robotics, specialising in deep neural networks. He currently works at the University of Valladolid. He is accredited as 芦Profesor Contratado Doctor禄 by ANECA and ACSUCYL.

Publications Q1-Q2 JCR Journals

  • SDHAR-HOME: A Sensor Dataset for Human Activity Recognition at Home. Sensors(2022). Posici贸n:14/64(3,576). DOI: 10.3390/s22218109
  • Improving Human Activity Recognition Integrating LSTM with Different Data Sources: Features, Object Detection and Skeleton Tracking. IEEE Access (2022). Posici贸n:94/273(3,671) DOI: 10.1109/ACCESS.2022.3186465
  • Cross Validation Voting for Improving CNN Classification in Grocery Products. IEEE Access(2022). Posici贸n:94/273(3,671) DOI: 10.1109/ACCESS.2022.3152224
  • Improvement of One-Shot-Learning by Integrating a Convolutional Neural Network and an Image Descriptor into a Siamese Neural Network. Applied Sciences(2021). Posici贸n:38/90(2,679)
    DOI:10.3390/app11177839
  • Daily Human Activity Recognition Using Non-Intrusive Sensors. Sensors(2021). Posici贸n:14/64(3,576) DOI:10.3390/s21165270
  • Visual Recognition of Gymnastic Exercise Sequences. Application to Supervision and Robot Learning by Demonstration. Robotics and Autonomous Systems(2021). Posici贸n:31/63(3,12)
    DOI:10.1016/j.robot.2021.103830
  • Optimization and Improvement of a Robotics Gaze Control System using LSTM networks. Multimedia Tools and Applications (2021). Posici贸n:120/273(2,757) DOI: 10.1007/s11042-021-11112-7
  • Egyptian Shabtis Identification by Means of Deep Neural Networks and Semantic Integration with Europeana. Applied Sciences(2020). Posici贸n:38/90(2,679) DOI:10.3390/app10186408
  • Gaze control of a robotic head for realistic interaction with humans. Frontiers in
    Neurorobotics(2020). Posici贸n: 69/139(3,272) DOI:10.3389/fnbot.2020.00034
  • Integration of Computer Vision and Wireless Networks to Provide Indoor Positioning. Sensors(2019). Posici贸n:15/64(3,275) DOI:10.3390/s19245495
  • An improved indoor positioning system using RGB-D cameras and wireless networks for use in complex environments. Sensors(2017). Posici贸n:16/61(2,475) DOI:10.3390/s17102391
  • Deciphering Egyptian hieroglyphs: Towards a new strategy for navigation in museums. Sensors(2017). Posici贸n:16/61(2,475) DOI:10.3390/s17030589
  • Indoor Positioning System using Depth Maps and Wireless Network. Journal of Sensors(2016). Posici贸n:126/262(1,704) DOI:10.1155/2016/2107872

Publications in Congresses

  • Sistema de monitorizaci贸n no intrusiva para el reconocimiento de actividades de la vida diaria en entornos multiusuario. JREB, 2022.M谩laga.
  • Optimization of a Robotics Gaze Control System. WAF 2020.Madrid.
  • Locating Multiple Camera Sensors and Wireless Access Points for a Generalized Indoor Positioning System. ICWMC, 2017.Niza (Francia)
  • A Semantic Approach to Enrich User Experience in Museums Through Indoor Positioning.
    UCAMI, 2017.Filadelfia (EEUU)
  • Mejoras en el algoritmo de posicionamiento en interiores mediante sensores RGB-D y redes WiFi. JNA 2018.Badajoz.
  • A Vision-Based Strategy to Segment and Localize Ancient Symbols Written in Stone. Iberian Robotics Conference. 2017.Sevilla.
  • Experiencias de Predicci贸n para un Sistema de Posicionamiento de uso en Recintos de Interior basado en C谩maras 3D de Bajo Coste y Redes Inal谩mbricas. JNR 2017.Valencia.
  • Indoor Positioning Prediction System based on Wireless Networks and Depth Sensing Camera. JNA 2016.Madrid.
  • People Positioning System with Low Cost 3D Cameras and Wireless Devices for Indoor Environments. Robocity 2016.Madrid.
  • Localizaci贸n de personas mediante c谩maras RGB-D y redes inal谩mbricas. JNA 2015.Bilbao.

Professor of different university subjects

  • Fundamentals of Computer Science. University of Valladolid (2021/22 –> Currently)
  • Fundamentals of Automatics. University of Valladolid (2022/23 –> Currently)
  • Computer Vision. University of Valladolid (2021/22 –> Currently)
  • Fundamentals of Machine Learning. UEMC university (2021/22)
  • Information Systems. UEMC university (2019/20 to 2021/22)
  • Computer Consultancy. UEMC university (2019/20 to 2021/22)

Co-directed TFGs (Trabajo Fin de Grado/End-of-Degree Thesis)

  • 芦Evaluaci贸n en l铆nea del grado de involucraci贸n del usuario en actividades de interacci贸n humano-robot禄. Autor: Mario Casta帽eda Gonz谩lez. 19/10/2022. Tutores: Jaime G贸mez Garc铆a Bermejo, Jaime Duque Domingo

Some prizes

  • INFAIMON 2015. Best paper on computer vision presented at the Jornadas Nacionales de Autom谩tica (Bilbao, 2015)
  • INFAIMON 2018, Best paper on computer vision presented at the Jornadas Nacionales de Autom谩tica (Badajoz, 2015)
  • IARIA-ICWMC 2017. Best paper presented at the International Conference on Wireless and Mobile Communications (Nice, France, 2017)
  • Extraordinary Doctorate Prize of the UNED, awarded in November 2020.
  • Premio Innovadores 2022 Prize, awarded by Iberdrola and the newspaper El Mundo for the best University Research Project.

Some videos of our work

https://github.com/jaiduqdom/robotGazeControl/blob/master/video/GAZE_CONTROL_ASIMOV_EN.mp4?raw=true
https://github.com/jaiduqdom/gymnasticactivity/blob/master/GYMNASTIC_ACTIVITY_RECOGNITION_ROBOT.mp4?raw=true
https://ieeexplore.ieee.org/ielx7/6287639/9668973/9807301/graphical_abstract/access-gavideo-3186465.mp4
https://ieeexplore.ieee.org/ielx7/6287639/9668973/9715066/graphical_abstract/access-gavideo-3152224.mp4