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)

  • Alavi-Shoshtari, M., Salmond, J. A., Giurcăneanu CD, Miskell, G., Weissert, L., & Williams, D. E. (2018). Automated data scanning for dense networks of low-cost air quality instruments: Detection and differentiation of instrumental error and local to regional scale environmental abnormalities. Environmental Modelling & Software, 101, 34-50. 10.1016/j.envsoft.2017.12.002
    Other University of Auckland co-authors: David Williams, Jennifer Salmond, Lena Weissert
  • Maanan, S., Dumitrescu, B., & Giurcaneanu, C. D. (2018). Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series. ENTROPY, 20 (1)10.3390/e20010076
    Other University of Auckland co-authors: Said Maanan
  • Li, F., Triggs, C. M., Dumitrescu, B., & Giurcaneanu, C. D. (2017). On the number of iterations for the matching pursuit algorithm. 25th European Signal Processing Conference, EUSIPCO 2017. 10.23919/EUSIPCO.2017.8081193
    Other University of Auckland co-authors: Christopher Triggs, Fangyao Li
  • Maanan, S., Dumitrescu, B., & Giurcaneanu, C. D. (2017). Conditional independence graphs for multivariate autoregressive models by convex optimization: Efficient algorithms. SIGNAL PROCESSING, 133, 122-134. 10.1016/j.sigpro.2016.10.023
    URL: http://hdl.handle.net/2292/31528
    Other University of Auckland co-authors: Said Maanan
  • Maanan, S., Dumitrescu, B., & Giurcaneanu, C. D. (2016). Renormalized maximum likelihood for multivariate autoregressive models. Proceedings of 24th European Signal Processing Conference (EUSIPCO), 150-154. Budapest, Hungary: The European Association for Signal Processing (EURASIP). 10.1109/EUSIPCO.2016.7760228
    URL: http://hdl.handle.net/2292/31494
    Other University of Auckland co-authors: Said Maanan
  • Giurcaneanu, C. D. (2015). Information theoretic criteria for least-squares trees. In C.-H. Chen, H. P. Chan (Eds.) IASC-ARS 2015 Book of Abstracts, 41-41. Singapore: IASC-ARS. Related URL.
    URL: http://hdl.handle.net/2292/28032
  • Giurcaneanu, C. D., Abeywickrama, R. V., & Berber, S. (2015). Performance analysis for a chaos-based code-division multiple access system in wide-band channel. JOURNAL OF ENGINEERING-JOE10.1049/joe.2015.0117
    URL: http://hdl.handle.net/2292/26915
    Other University of Auckland co-authors: Stevan Berber
  • Giurcaneanu, C. D., & Saip, F. A. A. (2014). New insights on AR order selection with information theoretic criteria based on localized estimators. DIGITAL SIGNAL PROCESSING, 32, 37-47. 10.1016/j.dsp.2014.06.005
    URL: http://hdl.handle.net/2292/22942


Contact details

Primary office location

New Zealand

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