Eduardo Gutiérrez Maestro
Position: Doctoral Student School/office: School of Science and TechnologyEmail: eduardo.gutierrez-maestro@oru.se
Phone: No number available
Room: T2214
About Eduardo Gutiérrez Maestro
Eduardo is a Ph.D student at the Center for Applied Autonomous Sensor Systems (AASS) Cognitive Robotic System Lab. He is employee at the University of Örebro by to the Wallenberg AI, Autonomous Systems and Software Program (WASP).
He received BSc in Telematics Engineering (2016) and MSc in Telecommunications Engineering (2019) from the University of Alcalá, Spain. In 2017 he studied half of his Masters studies at the Technische Universität Darmstadt, Germany.
As a researcher, Eduardo is focused to make use of AI (mainly Machine Learning and Deep Learning) to develop solutions which improve people’s mental health and life quality.
Research groups
Publications
Articles in journals
- Gutiérrez Maestro, E. , Almeida, T. R. d. , Schaffernicht, E. & Martinez Mozos, O. (2023). Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities. Applied Sciences, 13 (9).
- Calatrava-Nicolás, F. M. , Gutiérrez-Maestro, E. , Bautista-Salinas, D. , Ortiz, F. J. , González, J. R. , Vera-Repullo, J. A. , Jiménez-Buendía, M. , Méndez, I. & et al. (2021). Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities. Sensors, 21 (20).
Conference papers
- Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2023). Stress Lingers: Recognizing the Impact of Task Order on Design of Stress and Emotion Detection Systems. Paper presented at IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, Portomaso, St. Julians, Malta, December 7-9, 2023.
- Almeida, T. , Rudenko, A. , Schreiter, T. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Kucner, T. P. , Martinez Mozos, O. & et al. (2023). THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Paper presented at IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2-6, 2023. (pp. 2192-2201). IEEE.
- Almeida, T. R. d. , Gutiérrez Maestro, E. & Martinez Mozos, O. (2022). Context-free Self-Conditioned GAN for Trajectory Forecasting. In: Wani, MA; Kantardzic, M; Palade, V; Neagu, D; Yang, L; Chan, KY, 21st IEEE International Conference on Machine Learning and Applications. ICMLA 2022 Proceedings. Paper presented at 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Nassau, Bahamas, December 12-14, 2022. (pp. 1218-1223). IEEE.
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Kucner, T. P. , Martinez Mozos, O. & et al. (2022). The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. Paper presented at 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022.