Dr Ciprian Doru Giurcaneanu

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Senior Lecturer


I received my PhD degree (with commendation) from Tampere University of Technology (TUT), Finland, in 2001. From 1993 to 1997, I was a Junior Assistant at "Politehnica" University of Bucharest. In 1997 I joined TUT where I spent more than 14 years as a Researcher, Senior Researcher and Academy Research Fellow in the Department of Signal Processing. From January 2012 to June 2012 I was with Helsinki Institute for Information Technology (HIIT), and in July 2012 I joined the Department of Statistics, University of Auckland, where I am currently a Senior Lecturer (above the bar). My research is mainly focused on stochastic complexity and its applications.

Research | Current

My list of publications can be found here.

Teaching | Current

2012: STATS150, STATS726

2013: STATS150, STATS390, STATS726

2014: STATS210, STATS726

2015: STATS210, STATS726

2016: STATS726

2017: STATS210, STATS726, STATS210 at SWU China

2018: STATS210, STATS210 at SWU China

Postgraduate supervision

2013: F.A. Abdul Saip (BScHons) - On the use of sequentially normalized maximum likelihood for selecting the order of autoregressions when the model parameters are estimated by forgetting factor least-squares algorithms

2014: S. Li (Research Msc) - Periodogram smoothing via cepstral analysis

2014: K. Furushima (MSc) - Methods for selecting the model when parametric complexity is infinite

2015: R. Vasundara (BScHons) - Performance analysis for a chaos-based CDMA system in wide-band channel

2016: C. Li (Research Msc) - Information theoretic criteria for least-squares trees

2016: Y. Yang (Research Msc) - Predictive modelling for the concentration of air pollutant PM2.5

2016: F.I. Adnan (BScHons) -  Detection of changes in depth of anesthesia by using bispectral index

2017: M. Parsons [MProfStud(Data Science)]

2018: M.A.M. Nasir (BScHons) - Spectral analysis of non-uniformly sampled data

2018 (anticipated): Y. Ding (MSc)

2018 (anticipated): S. Maanan (PhD) - Inferring the conditional independence graph for a multivariate autoregressive model via convex optimization

2019 (anticipated): F. Li - Analysis and prediction of high-dimensional time series




Board Member Australian & New Zealand Journal of Statistics

Areas of expertise

Time series, model selection, data compression, clustering

Selected publications and creative works (Research Outputs)


Contact details

Primary office location

New Zealand

Web links