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 statistical signal processing.

Research | Current

My list of publications can be found here.

Teaching | Current

2012: STATS150 (0.3), STATS726

2013: STATS150 (0.3), STATS390, STATS726

2014: STATS210, STATS726

2015: STATS210, STATS726

2016: STATS726

2017: STATS210, STATS726, STATS210 at SWU China

2018: STATS210, STATS210 at SWU China

2019: STATS210

2020: STATS210 (0.5), 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: Y. Ding (MSc) - Comparison of methods for inferring Granger causality

2019: X. Zheng (BScHons) - On the selection of size and sparsity in dictionary learning

2015-2018: S. Maanan (PhD) - Inferring the conditional independence graph for a multivariate autoregressive model via convex optimization

2016-2020: F. Li (PhD) - Prediction in high‐dimensional statistical modelling using greedy algorithms and information theoretic criteria [The name of F. Li has been placed on the Dean of Graduate Studies List (Dean’s List) in recognition of excellence achieved with her PhD thesis]

2022 (anticipated): X. Zheng (PhD) - Model selection in data science



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)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Zheng, X., Dumitrescu, B., Liu, J., & Giurcaneanu, C. D. (2020). On the use of dictionary learning in time series imputation. Proceedings of the 28th European Signal Processing Conference, 2016-2020. Amsterdam, Netherlands. Related URL.
    Other University of Auckland co-authors: Xiaomeng Zheng, Jiamou Liu
  • Dumitrescu, B., Giurcaneanu, C. D., & Ding, Y. (2019). Identification of Vector Autoregressive Models with Granger and Stability Constraints. Proceedings 27th European Signal Processing Conference (EUSIPCO) A Coruna, Spain: IEEE. 10.23919/EUSIPCO.2019.8902516
    URL: http://hdl.handle.net/2292/49543
  • Dumitrescu, B., & Giurcaneanu, C. D. (2019). Adaptive-Size Dictionary Learning Using Information Theoretic Criteria. ALGORITHMS, 12 (9)10.3390/a12090178
  • Li, F., Triggs, C. M., Dumitrescu, B., & Giurcaneanu, C. D. (2019). The matching pursuit algorithm revisited: A variant for big data and new stopping rules. SIGNAL PROCESSING, 155, 170-181. 10.1016/j.sigpro.2018.09.033
    URL: http://hdl.handle.net/2292/46132
  • Alavi-Shoshtari, M., Salmond, J. A., Giurcaneanu, C. D., 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
    URL: http://hdl.handle.net/2292/41804
    Other University of Auckland co-authors: David Williams, Jennifer Salmond
  • 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
  • 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
    URL: http://hdl.handle.net/2292/41954
  • 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


Contact details

Primary office location

Level 3, Room 379
New Zealand

Web links