Email: letizia_at_robots.ox.ac.uk

Letizia joined the Mobile Robotics Group in April 2014 as a postdoctoral researcher.

Research

At the moment, her research focuses on:

      • Intelligent energy management in electric vehicles
      • Energy-efficient planning
      • Driver behaviour modelling
      • Soundscape Perception and Interpretation

Her previous work lies in the fields of machine learning, speech processing and cognitive modelling of auditory attention and perception for robotics applications.

Bio

Letizia holds a BEng in Computer Engineering, a MSc in Computer Engineering with specialisation in Artificial Intelligent Systems and a PhD degree in Computing Science and Engineering from Sapienza, University of Rome.

For her PhD studies, she carried out a joint research project, as a member of the Vision, Perception and Cognitive Robotics Laboratory (ALCOR) of the Department of Computer and System Sciences in Sapienza, University of Rome and of the Cognitive Systems Group of the Department of Applied Mathematics and Computer Science at the Technical University of Denmark.

She was also associated with the INSPIRE (Investigating Speech Processing In Realistic Environments) Initial Training Network as a Marie Curie Postdoctoral Research Fellow and worked, as a visiting researcher, in the Centre for Applied Hearing Research of the Department of Electrical Engineering at the Technical University of Denmark.



MRG Publications

2017

  • [PDF] L. Marchegiani and I. Posner, “Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
    [Bibtex]

    @inproceedings{MarchegianiICRA2017,
    Address = {Singapore},
    Author = {Marchegiani, Letizia and Posner, Ingmar},
    Booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    Month = {June},
    Pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017ICRA_marchegiani.pdf},
    Title = {Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles},
    Year = {2017}}

2016

  • [PDF] O. Bartlett, C. Gurau, L. Marchegiani, and I. Posner, “Enabling Intelligent Energy Management for Robots using Publicly Available Maps,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
    [Bibtex]

    @inproceedings{BartlettIROS2016,
    Address = {Daejeon, South Korea},
    Author = {Bartlett, Oliver and Gurau, Corina and Marchegiani, Letizia and Posner, Ingmar},
    Title = {Enabling Intelligent Energy Management for Robots using Publicly Available Maps},
    Booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
    Year = {2016},
    Month = {October},
    Pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016IROS_bartlett.pdf}
    }

2015

  • [PDF] P. Ondruska, C. Gurau, L. Marchegiani, C. H. Tong, and I. Posner, “Scheduled Perception for Energy-Efficient Path Following,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
    [Bibtex]

    @inproceedings{OndruskaICRA2015,
    Address = {Seattle, WA, USA},
    Author = {Peter Ondruska and Corina Gurau and Letizia Marchegiani and Chi Hay Tong and Ingmar Posner},
    Booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    Month = {May},
    Pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_ondruska.pdf},
    Title = {Scheduled Perception for Energy-Efficient Path Following},
    Year = {2015}}



Other Publications (selected)

2012

  • L. Marchegiani, “Top-Down Attention Modelling in a Cocktail Party Scenario,” PhD Thesis, 2012.
    [Bibtex]

    @phdthesis{marchegiani2012top,
    Author = {Marchegiani, L.},
    School = {Sapienza, University of Rome},
    Title = {Top-Down Attention Modelling in a Cocktail Party Scenario},
    Year = {2012}}

2011

  • L. Marchegiani, S. G. Karadogan, T. Andersen, J. Larsen, and L. K. Hansen, “The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry’s Experiment after Sixty Years,” in Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on, 2011, pp. 183-188.
    [Bibtex]

    @inproceedings{marchegiani2011role,
    Author = {Marchegiani, L. and Karadogan, S.G. and Andersen, T. and Larsen, J. and Hansen, L.K.},
    Booktitle = {Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on},
    Organization = {IEEE},
    Pages = {183--188},
    Title = {The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years},
    Volume = {1},
    Year = {2011}}

  • S. G. Karadogan, L. Marchegiani, J. Larsen, and L. K. Hansen, “Top-down attention with features missing at random,” in IEEE International Workshop on Machine Learning For Signal Processing, 2011.
    [Bibtex]

    @inproceedings{karadogan2011top,
    Author = {Karadogan, S.G. and Marchegiani, L. and Larsen, J. and Hansen, L.K.},
    Booktitle = {IEEE International Workshop on Machine Learning For Signal Processing},
    Title = {Top-down attention with features missing at random},
    Year = {2011}}

  • S. G. Karadogan, L. Marchegiani, L. K. Hansen, and J. Larsen, “How efficient is estimation with missing data?,” in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 2011, pp. 2260-2263.
    [Bibtex]

    @inproceedings{karadogan2011efficient,
    Author = {Karadogan, S.G. and Marchegiani, L. and Hansen, L.K. and Larsen, J.},
    Booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},
    Organization = {IEEE},
    Pages = {2260--2263},
    Title = {How efficient is estimation with missing data?},
    Year = {2011}}

  • L. K. Hansen, S. G. Karadogan, and L. Marchegiani, “What to measure next to improve decision making? On top-down task driven feature saliency,” in Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on, 2011, pp. 1-7.
    [Bibtex]

    @inproceedings{hansen2011measure,
    Author = {Hansen, L.K. and Karadogan, S.G. and Marchegiani, L.},
    Booktitle = {Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on},
    Organization = {IEEE},
    Pages = {1--7},
    Title = {What to measure next to improve decision making? On top-down task driven feature saliency},
    Year = {2011}}

2009

  • L. Marchegiani, F. Pirri, and M. Pizzoli, “Multimodal speaker recognition in a conversation scenario,” in Computer Vision Systems, Springer, 2009, pp. 11-20.
    [Bibtex]

    @incollection{marchegiani2009multimodal,
    Author = {Marchegiani, L. and Pirri, F. and Pizzoli, M.},
    Booktitle = {Computer Vision Systems},
    Pages = {11--20},
    Publisher = {Springer},
    Title = {Multimodal speaker recognition in a conversation scenario},
    Year = {2009}}