Ioan Stanculescu

I'm a PhD student in the Institute for Adaptive and Neural Computation (ANC) within the School of Informatics at the University of Edinburgh. My supervisor is Chris Williams.

Research Interests

I am interested in probabilistic models for understanding time series data. In our project we work on inferring hidden clinical factors from monitoring traces of premature babies in the neonatal intensive care unit.

Keywords: Switching state-space models, Kalman filters, ARMA models, Assumed Density Filtering, (Rao-Blackwellized) Particle Filtering



  1. A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring pdf
    Ioan Stanculescu, Christopher K.I. Williams, and Yvonne Freer
    To appear in Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014)
  2. Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis preprint pdf
    Ioan Stanculescu, Christopher K.I. Williams, and Yvonne Freer
    Accepted for publication in IEEE Journal of Biomedical and Health Informatics, 1 Dec 2013
  3. Automating the Calibration of a Neonatal Condition Monitoring System pdf,
    Christopher K. I. Williams and Ioan Stanculescu
    Proc AIME 2011, eds M. Peleg, N. Lavrač, and C. Combi, LNAI 6747, pp. 240--249. Springer, 2011


Room 2.38
Informatics Forum
University of Edinburgh
10 Crichton Street
United Kingdom