Data Science - Statistical Science 

Tung Dang, Kentaro Ono, Takafumi Sasaoka, Shigeto Yamawaki,and Maro G. Machizawa「 Decoding time-course of saliency network of fMRI signals by EEG signals using optimized forward variable selection: a concurrent EEG-fMRI study」The Asia Pacific Signal and Information Processing Association (APSIPA), SPECIAL SESSION: Advanced Biomedical Signal Processing (II): Brain Signal Processing and Analysis  Taipei, Taiwan. (2023/11) 

Tung Dang, Hiroyoshi Iwata 「An integrative framework of stochastic variational variable selection for joint analysis of multi-omics microbiome data 」Japanese Joint Statistical Meeting 2023, SESSION: Bayesian statistics   Kyoto, Japan. (2023/09)

Tung Dang, Hiroyoshi Iwata 「 A method for clustering high-dimensional microbiome data and selecting representative microbial species 」The 10th International Conference on Chemical and Biological Sciences (ICCBS 2023), Sapporo, Japan. (2023/06)

Tung Dang, Hiroyoshi Iwata 「 Stochastic variational variable selection for high-dimensional microbiome data 」The 2022 Annual Conference of the Japanese Society for Bioinformatics, Osaka, Japan. (2022/09) 

Tung Dang, Hiroyoshi Iwata 「 高次元マイクロバイオームデータのクラスタリン グと代表的な微生物種の選択を可能にする方法 」The 143rd Meeting of the Japanese Society of Breeding, Obihiro University of Agriculture and Veterinary Medicine, Japan. (2022/09)

Tung Dang, Hiroyoshi Iwata 「 Stochastic variational variable selection for high-dimensional microbiome data 」World Biological Science and Technology Conference 2022 (BioST 2022), Osaka, Japan. (2022/07) My video presentation 

Tung Dang,  Alan S. R. Fermin, and Maro G. Machizawa「 Automatic package for optimized decoding of neuroimaging data supported by forward variable selection 」The 45th Annual Meeting of the Japan Neuroscience Society, Okinawa, Japan. (2022/06) 

Tung Dang and Hirohisa Kishino 「 Phylogenetic variable selection for microbiome study 」The 2020 Annual Conference of the Japanese Society for Bioinformatics. (2020/09) 

Tung Dang and Hirohisa Kishino「Stochastic Variational Inference of Mixture Models in Phylogenetics」 English Session (4): Medical Statistics and Biostatistics. Japanese Joint Statistical Meeting 2018. (2018/09)

Tung Dang, and Hirohisa Kishino「Fast Approximate Inference for Phylogenetic Reconstruction via Stochastic Variational Inference in Large Data Sets」 The Society for Molecular Biology and Evolution Conference, POA-306, Pacifico Yokohama, Japan, (July 8-12, 2018)