Research & Publications

Research theme

Our current research is about population data analytics  of both life and man-made individuals boarding from genetic population structure (in human and rice), register-based census, coordination and leadership inference from time series, coordination in NASDAQ stock market, network analysis in brain EEG signals, etc.  We focus on getting insight from data. We try to identify "what" is the problem we need to solve, "how" we solve it, and lastly "why" we solve it in this way. To address all three points, we need both theoretical and real-world results.  The paper below can get you some hints of what we are doing/did in our team. 

Computer Science Conferences 

In Computer Science, we consider conference papers as full papers (8-12 pages), which are equivalent to journal articles of other fields (see link for more discussion about this topic). For this reason, we, CS people, typically publish our work in conference venues rather than submitting our work to journals. However, if our research results require long-length space, then we consider a journal venue as an alternative option.

•  Amornbunchornvej, Chainarong,  Elena Zheleva, and  Tanya Y. Berger-Wolf.  "Variable-lag Granger Causality for Time Series Analysis." In Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 21-30. IEEE, 2019.  https://doi.org/10.1109/DSAA.2019.00016  [slide] R-CRAN Package: link. The news on R-bloggers.com link.

• Amornbunchornvej, Chainarong, and  Tanya Y. Berger-Wolf.  "Framework for Inferring Leadership Dynamics of  Complex Movement  from Time Series." In Proceedings of the 2018 SIAM International Conference on Data Mining (SDM), pp. 549-557. Society for Industrial and Applied Mathematics, 2018.  https://doi.org/10.1137/1.9781611975321.62 [slide]

• Amornbunchornvej, Chainarong, and Tanya Y. Berger-Wolf. "Mining and Modeling Complex Leadership Dynamics of Movement data ." In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2018 (ASONAM), pp. 447-454. IEEE, 2018. 

• Amornbunchornvej, Chainarong, Margaret C. Crofoot, and Tanya Y. Berger-Wolf. "Identifying Traits of Leaders in Movement Initiation." In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM), pp. 660-667. ACM, 2017. 

Other Conferences

• Amornbunchornvej, C., Tulaya Limpiti, Anunchai Assawamakin, Apichart Intarapanich, and Sissades Tongsima. "Iterative neighbor-joining tree clustering algorithm for genotypic data." In Pattern Recognition (ICPR), 2012 21st International Conference on, pp. 1827-1830. IEEE, 2012. 

• Amornbunchornvej, C., T. Limpiti, A. Assawamakin, A. Intarapanich, and S. Tongsima. "Improved iterative pruning principal component analysis with graph-theoretic hierarchical clustering." In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on, pp. 1-4. IEEE, 2012. 

Journal Articles  and Book Chapter

1. Gómez-Méndez, Irving, and Chainarong Amornbunchornvej. "Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models." Heliyon 10, no. 6 (2024):e27968. DOI:https://doi.org/10.1016/j.heliyon.2024.e27968 arXiv:2308.16578

2. Charoenruk, Nuttirudee, Narongrid Asavaroungpipop, Pannee Pattanapradit, Kittiya Ku-kiattikun, and Chainarong Amornbunchornvej. "Register-based Census in Thailand: a Case Study in Chachoengsao Province." Statistical Journal of the IAOS 39, no. 4 (2023): 887-899.  https://doi.org/10.3233/SJI-230045

3. Amornbunchornvej, Chainarong, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong . "Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis."  Heliyon 9, no. 5 (2023): e15947.  https://doi.org/10.1016/j.heliyon.2023.e15947  R-CRAN Package: link. arXiv

4. Phanchita Vejchasarn, Jeremy R. Shearman, Usawadee Chaiprom, Yotwarit Phansenee, Arissara Suthanthangjai, Jirapong Jairin, Varapong Chamarerk, Tatpong Tulyananda, and Chainarong Amornbunchornvej. "Population Structure of Nation-wide Rice in Thailand." Rice 14, no.88 (2021). doi: https://doi.org/10.1186/s12284-021-00528-2. bioRxiv

5. Amornbunchornvej, Chainarong . "mFLICA: an R package for inferring leadership of coordination from time series." SoftwareX 15 (2021) 100781, https://doi.org/10.1016/j.softx.2021.100781.  R-CRAN Package: link.

6. Amornbunchornvej, Chainarong,  Elena Zheleva, and  Tanya Y. Berger-Wolf. "Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis." ACM Transactions on Knowledge Discovery from Data (TKDD) 15, no. 4 (2021): 67.  https://doi.org/10.1145/3441452 R-CRAN Package: link. arXiv

7. Amornbunchornvej, Chainarong, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong . "Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income." ACM Transactions on Knowledge Discovery from Data (TKDD) 15, no. 2 (2021): 15.  https://doi.org/10.1145/3424670  R-CRAN Package: link.  arXiv

8. Amornbunchornvej, Chainarong, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong . "A nonparametric framework for inferring orders of categorical data from category-real ordered pairs."  Heliyon 6, no. 11 (2020): e05435.  https://doi.org/10.1016/j.heliyon.2020.e05435  R-CRAN Package: link. arXiv

9.  Amornbunchornvej, Chainarong and Tanya Y. Berger-Wolf . "Framework for Inferring Following Strategies from Time Series of Movement Data" ACM Transactions on Knowledge Discovery from Data (TKDD) 14, no. 3 (2020): 35.  https://doi.org/10.1145/3385730 

10. Amornbunchornvej, Chainarong and Tanya Y. Berger-Wolf. "Mining and Modeling Complex Leadership-Followership Dynamics of Movement data" Social Network Analysis and Mining  9, no. 1 (2019): 58. https://doi.org/10.1007/s13278-019-0600-z arXiv

11. Amornbunchornvej, Chainarong, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, and Tanya Y. Berger-Wolf. "Coordination Event Detection and Initiator Identification in Time Series Data " ACM Transactions on Knowledge Discovery from Data (TKDD) 12, no. 5 (2018): 53. 

12. Amornbunchornvej, Chainarong, Margaret C. Crofoot, and Tanya Y. Berger-Wolf. "Traits of Leaders in Movement Initiation: Classification and Identification"  In Influence and Behavior Analysis in Social Networks and Social Media. Lecture Notes in Social Networks book series (LNSN) pp. 39-62. Springer, Cham, 2019 DOI: https://doi.org/10.1007/978-3-030-02592-2_3.  

13. Limpiti, Tulaya, Chainarong Amornbunchornvej, Apichart Intarapanich, Anunchai Assawamakin, and Sissades Tongsima. "iNJclust: iterative neighbor-joining tree clustering framework for inferring population structure." IEEE/ACM Transactions on Computational Biology and Bioinformatics 11, no. 5 (2014): 903-914.  

Dissertation

• Amornbunchornvej, Chainarong. "Inference of Leadership of Coordinated Activity in Time Series." PhD dissertation, University of Illinois at Chicago, 2018. DOI:10.13140/RG.2.2.24605.54244. 

Preprints

• Sudswong, Wanetha,  Anon Plangprasopchok, and Chainarong Amornbunchornvej. "Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient." arXiv preprint arXiv:2111.06224 (2021).

• Amornbunchornvej, Chainarong, Pongsakorn Wangkumhang,  and Sissades Tongsima. "ipADMIXTURE: R package for inferring sub-population clusters based on genetic admixture ." bioRxiv 2020.03.21.001206 (2020). doi: https://doi.org/10.1101/2020.03.21.001206 

Services

• Reviewer & Program committee: ACM TKDD, IEEE Access, Heliyon, Springer LNSN, SNAA2018,  and SNAA2019.

  • Current records: ACM TKDD 3 times, Heliyon 5 times, IEEE Access 6 times,  Frontiers in Neuroinformatics 1 time, and Frontiers in Microbiology 1 time (see link)

• arXiv endorser:  cs.AI, cs.LG, cs.MA, cs.SI, econ.EM, physics.data-an, q-bio.QM, stat.ME, stat.ML.