OPEN PreDoctoral Researcher Position
The European Laboratory for Learning and Intelligent Systems ELLIS Unit Madrid is looking for PreDoctoral Researchers. The selected candidate will carry out research in the field of bayesian machine learning applied to e-Health care, in tasks related to digital phenotype data modeling. Application Deadline:
At this website you will find all the information related to the call.
Doctoral Thesis Defense of Emese Sükei
Emese Sükei, a PhD student in the Signal Processing Group of the University Carlos III de Madrid is defending her doctoral thesis titled “A Step Towards Advancing Digital Phenotyping In Mental Healthcare” on December, 19th.
- Title: “A Step Towards Advancing Digital Phenotyping In Mental Healthcare”
- Advisor: Antonio Artés Rodríguez.
- Event Date: Monday, December 19, 2022, at 11:00 am.
- Location: Biblioteca 3.1. S08, Leganés Campus; Universidad Carlos III de Madrid.
Doctoral Thesis Defense of Aurora Cobo Aguilera
Aurora Cobo Aguilera, a PhD student in the Signal Processing Group of the University Carlos III de Madrid is defending her doctoral thesis titled “Probabilistic Models and Natural Language Processing in Health” on December, 15th.
- Title: “Probabilistic Models and Natural Language Processing in Health”
- Advisor: Antonio Artés Rodríguez.
- Event Date: Thursday, December 15, 2022, at 11:00 am.
- Location: Biblioteca (3ª planta) Leganés Campus; Universidad Carlos III de Madrid.
ALDER project granted by Office of Naval Research (ONR)
«Space-time sequential schemes and Bayesian inference methods for continuous-time stochastic systems (ALDER)» has been granted to Joaquín Míguez Arenas by the Office of Naval Research (ONR) within the call «ONR BAA Announcement #N00014-22-S-B001».
PaC-MAN project granted by Regional Government of Madrid
«Patient-centered mental health with attention machine learning (PaC-MAN)» has been granted to Pablo Martinez Olmos by the Regional Goverment of Madrid within the call «Doctorados industriales 2022».
TYCHE project granted by Agencia Estatal de Investigación (AEI)
PID2021-125159NB-I00, «Uncertainty quantification for stochastic physical models: deep filters and space-time Monte Carlo methods (TYCHE)» has been granted to Joaquín Míguez Arenas and Manuel Vázquez López by Agencia Estatal de Investigación (AEI) within the call «Proyectos de Generación de Conocimiento 2021».
EPiCENTER project granted by Agencia Estatal de Investigación (AEI)
PID2021-123182OB-I00, «Explainable deep latent representations for patient-centered mental health (EPiCENTER)» has been granted to Pablo Martinez Olmos and David Ramírez García by Agencia Estatal de Investigación (AEI) within the call «Proyectos de Generación de Conocimiento 2021».
Doctoral Thesis Defense of Pablo Bonilla Escribano
Pablo Bonilla Escribano, a PhD student in the Signal Processing Group of the University Carlos III de Madrid is defending her doctoral thesis titled “Objective Assessment of Psychiatric Patients via Machine Learning” on March, 16th.
- Title: “Objective Assessment of Psychiatric Patients via Machine Learning”
- Advisor: Antonio Artés Rodríguez.
- Event Date: Friday, March 16, 2022, at 11:00 am.
- Location: Salón de Grados (Ed. Padre Soler) Leganés Campus; Universidad Carlos III de Madrid.
Doctoral Thesis Defense of Sara Pérez Vieites
Sara Pérez Vieites, a PhD student in the Signal Processing Group of the University Carlos III de Madrid is defending her doctoral thesis titled “Nested filtering methods for Bayesian inference in state space models” on January, 28th.
- Title: “Nested filtering methods for Bayesian inference in state space models”
- Advisor: Joaquín Míguez Arenas.
- Event Date: Friday, January 28, 2022, at 11:00 am.
- Location: Salón de Grados (Ed. Padre Soler) Leganés Campus; Universidad Carlos III de Madrid.
Article accepted for publication in IEEE Journal of Biomedical and Health Informatics
The article «Medical Data Wrangling With Sequential Variational Autoencoders” by D. Barrejón, P. M. Olmos, and Antonio Artés-Rodríguez has been accepted for publication in IEEE Journal of Biomedical and Health Informatics.