fita-button
IMG_4860

PHAN THI THU HONG, MS

Department of Computer Science

Faculty of Information Technology

Office Location: 3rd Floor, Administration Building,

Vietnam National  University of Agriculture

Trau Quy – Gia Lam – Hanoi – Vietnam

Telephone:

Email: ptthong [at] hua.edu.vn

Website: http://vnua.edu.vn//ptthong/

Degrees and experience Teaching Scientific research Publications Academic honors CV

Degrees and experience

  • 10/2018, PhD: Automatic, computer science, image and signal processing. University of Littoral, Calais, France
  • 6/2010, MS. Information technology and Web. Claude Bernard Lyon 1 University, Lyon, France
  • 6/2004, B.S. Computational and Applied Mathematics, VNU University of Science

Teaching

  1. Artificial Intelligence
  2. Image Processing
  3. Network administration
  4. Computer networks
  5. eLearning

Scientific research

Research Interest

  • Time series pre-processing and forecasting
  • Image and signal processing
  • Machine learning
  • Data mining
  • eLearning
  • Application of information technology in Agriculture

Projects

  • Member,  “Applications of Artificial Intelligence for Forecasting Hydro-Meteorological Anomalies in Vietnam under the Context of Climate Change ”, Funded by  Vietnam National project (BDKH.34/16-20), 2018-2020.
  • PI, “Research on gene expression classification using random forest method”. Funded by  Vietnam National  University of Agriculture, 2015.
  • Member, “Rice seed assessment using advanced image processing techniques and machine vision tools”. Funded by ARES – CCD (Vietnam-Belgium) project, 2014-2015.
  •  Member,  Application of machine learning techniques in analyzing SNP data”. Funded by Vietnam National  University of Agriculture, 2014.
  • Member,  Research on mobile web design and development techniques, apply to the website of Faculty of Information Technology – VNUA”. Funded by Vietnam National  University of Agriculture, 2014.
  • PI, “E-learning system: Using learner profiles to personalize proposed resources to learners – Step 1”.  Funded by Vietnam National  University of Agriculture, 2012-2013.
  • Member, “Building an online software addresses molecular bioinformatics problems for teaching bioinformatics and applying in breeding.  Funded by ministry-level project, 2007-2008.
  • Member, “Building a software to support decision-making”. Funded by ministry-level project, 2004-2005.

Publications

International journals with peer review

  • Thi-Thu-Hong Phan, André Bigand, Emilie Poisson Caillault, “A New Fuzzy Logic based Similarity Measure applied to Large Gap Imputation for Uncorrelated Multivariate Time Series”, Applied Computational Intelligence and Soft Computing. Available online August 2018. DOI: 10.1155/2018/9095683
  • Thi-Thu-Hong Phan, Emilie Poisson Caillault, Alain Lefebvre, André Bigand, “Dynamic Time Warping-based imputation for univariate time series data”, Pattern Recognition Letters. Available online 16 August 2017. In Press. DOI: 10.1016/j.patrec.2017.08.019

Book Chapter

  • Phan TTH., Poisson Caillault É., Bigand A. (2020) eDTWBI: Effective Imputation Method for Univariate Time Series. In: Le Thi H., Le H., Pham Dinh T., Nguyen N. (eds) Advanced Computational Methods for Knowledge Engineering. ICCSAMA 2019. Advances in Intelligent Systems and Computing, vol 1121. Springer, Cham

International conferences with peer review

  • Thi-Thu-Hong Phan, Emilie Poisson Caillault, André Bigand, “Comparative Study on Univariate Forecasting Methods for Meteorological Time Series”, 26th European Signal Processing Conference. Eusipco 2018. September 3-7, 2018, Rome, Italy.
  • Thi-Thu-Hong Phan, Emilie Poisson Caillault, Alain Lefebvre, André Bigand, “DTWApproach For Uncorrelated Multivariate Time Series Imputation”, IEEE International Workshop on Machine Learning for Signal Processing. MLSP 2017. September 25-28, 2017 Roppongi, Tokyo, Japan. DOI: 10.1109/MLSP.2017.8168165
  • Thi-Thu-Hong Phan, Emilie Poisson Caillault, Alain Lefebvre, André Bigand, “Which DTW Method Applied to Marine Univariate Time Series Imputation”, OCEANS 2017 MTS/IEEE, Aberdeen, Scotland, 06/2017. DOI: 10.1109/OCEANSE.2017.8084598
  • Thi-Thu-Hong Phan, Emilie Poisson Caillault, André Bigand, “Comparative Study on Supervised Learning Methods for Identifying Phytoplankton Species”, 2016 IEEE Sixth International Conference on Communications and Electronics (IEEE ICCE 2016).  July 27 – 29, 2016. Ha Long, Vietnam. DOI: 10.1109/CCE.2016.7562650
  • Phan. T.T.H , Tran T.T.H , Le T.L., Vo T.H., Vu H., and Nguyen T. T., “Comparative study on vision based rice seed varieties identification”,  the 1st International Workshop on Pattern Recognition for Multimedia Content Analysis (PR4MCA 2015), HoChiMinh, Vietnam 2015

Communication/National conferences with peer review

  • Emilie Poisson Caillault, Kelly Grassi, Thi Thu Hong Phan, Camille Dezecache, Jean Prygiel, Alain Lefebvre, “DTWBI & uHMM R-packages for multivariate time series preprocessing and interpretation”, 26th Earth Science Meeting, 22-26 October 2018, Lille, France.
  • Emilie Poisson Caillault, Camille Dezecache, Thi Thu Hong Phan, Kelly Grassi, Jean Prygiel, and Alain Lefebvre, “Data completion, characterization of environmental states and dynamics using multiparameter time series: DTWBI, DTWUMI and uHMM R-packages”, 2nd General Assembly of JERICO-NEXT, Galway, Ireland, 24-27 September, 2018.
  • Lefebvre A., Grassi K., Phan T.T.H., Devreker D., Bigand A., Poisson-Caillault E., 2018, “Automated tools for analyzing outputs of automated sensors: High frequency Data”, Third JERICO-NEXT Workshop on Phytoplankton Automated Observation. March 19-21, 2018 – M.I.O., Marseille, France.
  • Grassi K., Phan T.T.H., Poisson-Caillault E., Bigand A., Devreker D., Lefebvre A., “Results from measurements in the eastern English Channel : MAREL Carnot station”, Third JERICO-NEXT Workshop on Phytoplankton Automated Observation. March 19-21, 2018 – M.I.O., Marseille, France.
  • Caillault-Poisson E., Lefebvre A., Hébert P.A., Phan, T.T.H., Ternynck P., Marson Q., Rizik A., Wacquet G., Artigas F., Bigand A, “Méthodologie(s) du traitement du signal à la classification/modélisation pour la compréhension de la dynamique des efflorescences phytoplanctoniques”, Journée du CPER MARCO, 26 juin 2017, Boulogne sur Mer, France.
  • Caillault-Poisson E., Phan, T.T.H., Rizik A., Ternynck P., Bigand A, Lefebvre A, “New developments to fill the gap in high frequency data series and to integrate knowledge in Markov modeling of phytoplankton dynamics”, EEC’2017: The Eastern English Channel Conference, Wimereux, 06/06/2017, France.

Package

  • DTWBI: Filling large missing values in univariate time series based on Dynamic Time Warping
  • DTWUMI: Completing large gaps in low/un-correlated multivariate time series based on Dynamic Time Warping
  • FSMUMI: Imputing large gaps in low/un-correlated multivariate time series using a weighted-fuzzy similarity measure

National journals with peer review

  • Phan T.T.H, Nguyen. T.T, “Evaluation of feature selection methods for gene expression data classification”, Vietnam National  University of Agriculture’s Journal of Science and Development, vol. 14, no. 3, 2016.
  • Phan. T.T.H , Tran T.T.H , Le T.L., Vo T.H. and Nguyen T. T., “Identification of seeds of different rice varieties using image processing and computer vision techniques”, Vietnam National  University of Agriculture’s Journal of Science and Development, Vol. 13, No. 6: 1036-1042, 2015
  • Vu. T.L., Tran T.T.H, Phan. T.T.H, Nguyen. T.T, Nguyen. T.T., “Developing Database and Online Seraching Sytem of  Popular Rice Varieties in Viet Nam”, Vietnam National  University of Agriculture’s Journal of Science and Development, Vol. 13, No. 5: 813-824, 2015
  • Pham. Q.D., Phan. T.T.H, Tran. T.T.H, Vu T.L., “Responsive Design and Its Application to Designing Website of the Faculty of Information Technology”,  Vietnam National  University of Agriculture’s Journal of Science and Development, Vol. 13, No. 4: 645-656, 2015
  • Nguyen. V.H, Phan. T.T.H, Nguyen. T.T, Nguyen. T.T,  “A new feature sampling method in learning random forest for SNP data analysis”, Vietnam National  University of Agriculture’s Journal of Science and Development, Vol. 13, No. 2: 301-307, 2015
  • Phan.T.T.H, Nguyen. V.H, “A Learner Profile Model – A Whole Approach”, Hanoi University of Agriculture’s Journal of Science and Development, Vol. 11, N0. 8: 1045-1052, 2013.

CV