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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] vnua.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. Machine Learning

Scientific research

Research Interest

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

Projects

  • PI, “Study and application on industry 4.0 technologies in management of honey bee production for export
    and national consumption    ”. Funded Funded by  Vietnam National project (MOST, KC-4.0-20/19-25), 2021-2023.
  • Principle member, “Study and develop an intelligent system to aid in diagnosis of damage on the upper gastrointestinal tract using endoscopic images “; Funded by  Vietnam National project (KC-4.0-17/19-25), 2021-2023.
  • Principle member, “Study to build digital transformation models for smart schools“; Funded by  Vietnam National project (KC-4.0-16/19-25), 2020-2022.
  • Member, “Building an integrated planning model for Thanh Tra pomelo and lotus in Thua Thien Hue”, Funded by  Vietnam National University of Agriculture project (key level), 2020.
  • Principle member, “Forming and developing an intermediary organization of science and technology at universities of  agriculture, forestry and fishery“; Funded by  Vietnam National project (TTKHCN.DA.16-2018), 2020-2022.
  • 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

  • Bui Quoc Lap, Nguyen Hoai Nam, Bui Thi Kim Anh, Trinh Thi Thuy Linh, Le Xuan Quang, Vu Duc Toan, Bui Thi Thanh Hang, Sandhya Babel, Thi-Thu-Hong Phan, “Monitoring Water Quality in Lien Son Irrigation System of Vietnam and Identification of Potential Pollution Sources by Using Multivariate Analysis”, Water, Air and Soil Pollution, 2021. Doi: https://doi.org/10.1007/s11270-021-05137-9
  • Thi-Thu-Hong Phan, Xuan Hoai Nguyen, “Combining Statistical Machine Learning Models with ARIMA for Water Level Forecasting: The Case of the Red River”, Advances in Water Resources, Online June 2020. DOI: 10.1016/j.advwatres.2020.103656
  • 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, “Machine Learning for Univariate Time Series Imputation”, 3rd International Conference on Multimedia Analysis and Pattern Recognition. MAPR 2020, October 8-9, 2020, Hanoi, Vietnam.
  • 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”,in 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, Vietnam, Oct. 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

PhD thesis

  • Elastic matching for classification and modelisation of incomplete time series (https://tel.archives-ouvertes.fr/tel-02001195/file/These_PHAN_Thi_Thu_Hong.pdf)

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