Profesores e Investigadores

Departamentos

Curriculum Vitae

Alberto Olivares González
Titular de Universidad
4
Quinquenios
2022
3
Docentia
2021-22
3
Sexenios investigación
2021

Centro

E. Ingeniería de Fuenlabrada

Departamento

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación

Área

Estadística e Investigación Operativa

Contacto

alberto.olivares@urjc.es
Información general
Información general
Presentación

  • Alberto Olivares obtained his MSc in Mathematics and BSc in Statistics at the Univerity of Salamanca, Spain, and his PhD in Mathematical Engineering at the Rey Juan Carlos University in Madrid, Spain.
    He has more than 50 publications in peer-review journals and conferences and has participated in more than 25 funded research projects. He has worked as a visiting researcher at the Athens University of Economics and Business, Greece, and has participated as researcher and counsellor in different projects for companies. Member of the Editorial Board of Mathematical Problems in Engineering, he has been technical expert of the Spanish Certification Agency (ACIE) and reviewer of several international peer-review journals. His main research interests are Nonlinear and Nonconvex Optimization, Scientific Learning, Optimal Control, Data Analysis, and Uncertainty Quantification.









Méritos


  • Supervised PhD theses

    - Assimilation of Meteorological Aircraft Derived Data for Air Traffic Management, Marius A. Marinescu Belenkov, 2023

    - Meteorological Data-driven Trajectory Uncertainty Quantification for Air Traffic Management, Jaime de la Mota Sanchis, 2023

    - Iterative Learning Control for Precise Aircraft Trajectory Tracking, Almudena J. Buelta Méndez, 2022

    - Multi-Aircraft Optimal 4D In-Flight Trajectory Planning Based On Embedded Optimal Control, Dinesh B. Seenivasan, 2019

    - Commercial Aircraft Trajectory Planning Based on Multiphase Mixed-Integer Optimal Control, Manuel F. Soler Arnedo, 2013


    Awards

    - Luis Azcárraga Award, ENAIRE Foundation, 2022

    - Luis Azcárraga Award, ENAIRE Foundation, 2016

    - Best Research Paper Award, International Conference on Application and Theory of Automation in Command and Control Systems (ATACCS), 2013

    - Ramiro Melendreras Award, Spanish Society of Statistics and Operations Research (SEIO), 2004




















Docencia y asignaturas impartidas en el curso actual

  • Grado

    PLAN ASIGNATURA
    (2229) GRADO EN INGENIERIA BIOMEDICA (FUENLABRADA)METODOS MATEMATICOS DE BIOINGENIERIA
    (2229) GRADO EN INGENIERIA BIOMEDICA (FUENLABRADA)PROBABILIDAD Y ESTADISTICA
HISTÓRICO DOCENTE (ÚLTIMOS 10 CURSOS ACADÉMICOS)

Listado de proyectos (Últimos 10 años)
Códigos de investigador
Publicaciones

  • A. Olivares and E. Staffetti, A statistical moment-based spectral approach to the chance-constrained stochastic optimal control of epidemic models (doi:10.1016/j.chaos.2023.113560), Chaos, Solitons & Fractals, 172, 2023, 113560

    J. de la Mota, M. Cerezo-Magaña, A. Olivares and E. Staffetti, Data-Driven Probabilistic Methodology for Aircraft Conflict Detection Under Wind Uncertainty, (doi:10.1109/TAES.2023.3250204), IEEE Transactions on Aerospace and Electronic Systems, In press, 2023

    M. Marinescu, A. Olivares, E. Staffetti and J. Sun, Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data (doi:10.3390/math11041018), Mathematics, 11 (4), 1018, 2023

    M. Marinescu, A. Olivares, E. Staffetti and J. Sun, Wind velocity field estimation from aircraft derived data using Gaussian process regression  (doi:10.1371/journal.pone.0276185), PLoS ONE, 17 (10), 2022, e0276185

    M. Cerezo-Magaña, A. Olivares and E. Staffetti, A Stochastic Switched Optimal Control Approach to Formation Mission Design for Commercial Aircraft, (doi:10.1109/TAES.2022.3161890), IEEE Transactions on Aerospace and Electronic Systems, Volume 58, Issue 5, pp. 4342-4360, 2022

    M. Marinescu, A. Olivares, E. Staffetti and J. Sun, On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression  (doi:10.3390/aerospace9070377), Aerospace, 9 (7), 2022, 377

    A. Olivares and E. Staffetti, Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic  (doi:10.1016/j.cnsns.2022.106509), Communications in Nonlinear Science and Numerical Simulation, 111, 2022, 106509

    A. Buelta, A. Olivares and E. Staffetti, Iterative Learning Control for Precise Aircraft Trajectory Tracking in Continuous Climb and Descent Operations (doi:10.1109/TITS.2021.3094738),  IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 8, pp. 10481-10491, 2022

    A. Olivares and E. Staffetti, Optimal Control Applied to Vaccination and Testing Policies for COVID-19  (doi:10.3390/math9233100), Mathematics, 9 (23), 3100, 2021

    A. Olivares and E. Staffetti, Optimal Control-Based Vaccination and Testing Strategies for COVID-19  (doi:10.1016/j.cmpb.2021.106411), Computer Methods and Programs in Biomedicine, 211, 2021, 106411

    A. Buelta, A. Olivares, E. Staffetti, W. Aftab, and L. Mihaylova, A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking (doi:10.1109/TAES.2021.3098133), IEEE Transactions on Aerospace and Electronic Systems,  Volume 57, Issue 6, pp. 3962-3973, 2021

    A. Olivares and E. Staffetti, Uncertainty Quantification of a Mathematical Model of COVID-19 Transmission Dynamics with Mass Vaccination Strategy (doi:10.1016/j.chaos.2021.110895), Chaos, Solitons & Fractals, 146, 2021, 110895

    M. Cerezo-Magaña, A. Olivares and E. Staffetti, Formation Mission Design for Commercial Aircraft using Switched Optimal Control Techniques (doi:10.1109/TAES.2021.3061790), IEEE Transactions on Aerospace and Electronic Systems, Volume 57, Issue 4, pp. 2540-2557, 2021

    D. B. Seenivasan, A. Olivares and E. Staffetti, Multi-aircraft optimal 4D online trajectory planning in the presence of a multi-cell storm in development (doi:10.1016/j.trc.2019.11.014), Transportation Research Part C Emerging Technologies, Volume 110, pp. 123-142, 2020&a

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